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21066
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920
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3
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2026-05-11T17:07:47.643228+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519267643_m1.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard...
|
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\"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-8963375894614035486
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-8691439177447798548
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
21067
|
921
|
4
|
2026-05-11T17:08:06.091583+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519286091_m2.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
1
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:...
|
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tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message 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place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"}]...
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:...
|
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CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"}]...
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-4751573642779930658
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-8907047231489583008
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:...
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5
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2026-05-11T17:08:36.559641+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519316559_m2.jpg...
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Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt...
|
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(⇧⌘D)","depth":19,"bounds":{"left":0.0,"top":0.16280925,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.17238627,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"bounds":{"left":0.0,"top":0.20111732,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.21069433,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require 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nas","depth":16,"bounds":{"left":0.0006648936,"top":0.98244214,"width":0.028590426,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.0033244682,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.017952127,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":7,"bounds":{"left":0.009973404,"top":0.9856345,"width":0.01462766,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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2774729678109247237
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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monitor_1
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash...
|
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8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"}]...
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-8437136971691210160
|
2643949388798334725
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash...
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21071
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921
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6
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2026-05-11T17:09:07.011215+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519347011_m2.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
1
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the...
|
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Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"}]...
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2382478734108606323
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-8763776880662820632
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard...
|
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"ANTHROPIC_API_KEY=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","depth":28,"on_screen":true,"value":"ANTHROPIC_API_KEY=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","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=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","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
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/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER...
|
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tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message 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place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"}]...
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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monitor_1
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 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/volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"}]...
|
-1871827330026221506
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-8763496496607803156
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section...
|
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(⇧⌘D)","depth":19,"bounds":{"left":0.0,"top":0.16280925,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.17238627,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"bounds":{"left":0.0,"top":0.20111732,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.21069433,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"bounds":{"left":0.0,"top":0.23942538,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.2490024,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"bounds":{"left":0.009640957,"top":0.2601756,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude 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5052856627539010827
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-5480260736288902784
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The...
|
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#4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"}]...
|
6323534583109777491
|
-8340439615201620792
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
...
|
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Source Control (⌃⇧ Explorer (⇧⌘E)
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Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both...
|
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Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"}]...
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556607221063026044
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-8763776880662820760
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1...
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Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
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screenpipe_sync.sh, Editor Group 1
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Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
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Explorer (⇧⌘E)
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EXPLORER
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Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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monitor_2
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EXPLORER
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Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
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screenpipe_sync.sh
screenpipe.db
Outline Section
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Implement and run pipe l…, Editor Group 2
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Ln 30, Col 2
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
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main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
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IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
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/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]...
|
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Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"bounds":{"left":0.93916225,"top":0.98244214,"width":0.023603724,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 30, Col 2","depth":16,"bounds":{"left":0.85139626,"top":0.98244214,"width":0.026595745,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":0.7869016,"top":0.98244214,"width":0.062832445,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.78856385,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":0.79388297,"top":0.9856345,"width":0.05418883,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.79388297,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":26,"bounds":{"left":0.79488033,"top":0.9856345,"width":0.051529255,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"}]...
|
-3576203112056561664
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-8691438911294027668
|
visual_change
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
screenpipe_sync.sh, Editor Group 1
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 30, Col 2
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]...
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Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Containers
EXPLORER
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Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
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[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.057462092,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"bounds":{"left":0.0,"top":0.08619314,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.09577015,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 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Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519475440_m1.jpg...
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iTerm2
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APP (-zsh)
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monitor_1
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","depth":4,"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.47430557,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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accessibility
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
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2026-05-11T17:11:15.490004+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519475490_m2.jpg...
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iTerm2
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APP (-zsh)
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1
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monitor_2
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","depth":4,"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.33759972,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33959442,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40492022,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4069149,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4722407,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4742354,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.53956115,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5415558,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.60671544,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6087101,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.67386967,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67586434,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.4973404,"top":1.0,"width":0.024601065,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519478142_m1.jpg...
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iTerm2
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","depth":4,"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.47430557,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-5826347064466025141
|
-2292063823433160584
|
visual_change
|
accessibility
|
NULL
|
Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
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NULL
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NULL
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NULL
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NULL
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21087
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922
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4
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2026-05-11T17:11:18.942726+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519478942_m1.jpg...
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iTerm2
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screenpipe"
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1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe","depth":4,"on_screen":true,"value":"2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47083333,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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1557952319796948289
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-852231723626465824
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click
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accessibility
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
|
21086
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NULL
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NULL
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NULL
|
|
21088
|
923
|
4
|
2026-05-11T17:11:18.941542+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519478941_m2.jpg...
|
iTerm2
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screenpipe"
|
1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe","depth":4,"on_screen":true,"value":"2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.33759972,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33959442,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40492022,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4069149,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4722407,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4742354,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.53956115,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5415558,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.60671544,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6087101,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.67386967,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67586434,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.4956782,"top":1.0,"width":0.027925532,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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1557952319796948289
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-852231723626465824
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click
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accessibility
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
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NULL
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NULL
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NULL
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21089
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922
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5
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2026-05-11T17:11:24.165600+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519484165_m1.jpg...
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iTerm2
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screenpipe"
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1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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2026-05-11T19:55:41.940193Z INFO screenpipe_engin 2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = ...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe\n\n2026-05-11T20:11:21.171912Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1557952319796948289, trigger=visual_change)","depth":4,"on_screen":true,"value":"2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe\n\n2026-05-11T20:11:21.171912Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1557952319796948289, trigger=visual_change)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14479166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28125,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.28541666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.421875,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.42604166,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5625,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47083333,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-456339702770083891
|
-852231723626465824
|
visual_change
|
accessibility
|
NULL
|
2026-05-11T19:55:41.940193Z INFO screenpipe_engin 2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = ...
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2026-05-11T17:11:28.092579+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519488092_m1.jpg...
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iTerm2
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-zsh
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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8620343997773807940
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-4142583599516824575
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click
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accessibility
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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2026-05-11T17:11:28.129411+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519488129_m2.jpg...
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iTerm2
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Sun May 10 21:10:26 on ttys013\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.4787234,"height":-0.06304872},"on_screen":true,"value":"Last login: Sun May 10 21:10:26 on ttys013\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.33759972,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33959442,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40492022,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4069149,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4722407,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4742354,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.53956115,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5415558,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.60671544,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6087101,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.67386967,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67586434,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.50398934,"top":1.0,"width":0.010970744,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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6
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2026-05-11T17:11:58.362291+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519518362_m2.jpg...
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iTerm2
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbc
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Sun May 10 21:10:26 on ttys013\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbc","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.4787234,"height":-0.06304872},"on_screen":true,"value":"Last login: Sun May 10 21:10:26 on ttys013\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbc","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.33759972,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33959442,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40492022,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4069149,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.4722407,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4742354,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.53956115,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5415558,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.60671544,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6087101,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.67386967,"top":1.0,"width":0.06715426,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67586434,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.50398934,"top":1.0,"width":0.010970744,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbc
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
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⌥⌘1
-zsh...
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2026-05-11T17:12:00.238077+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519520238_m1.jpg...
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iTerm2
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Sun May 10 21:10:26 on ttys013\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":4,"bounds":{"left":0.0,"top":0.08777778,"width":1.0,"height":0.9122222},"on_screen":true,"lines":[{"char_start":0,"char_count":43,"bounds":{"left":0.0034722222,"top":0.08777778,"width":0.23888889,"height":0.02}},{"char_start":43,"char_count":1,"bounds":{"left":0.0034722222,"top":0.107777774,"width":0.0055555557,"height":0.02}},{"char_start":44,"char_count":75,"bounds":{"left":0.0034722222,"top":0.12777779,"width":0.41666666,"height":0.02}},{"char_start":119,"char_count":1,"bounds":{"left":0.0034722222,"top":0.14777778,"width":0.0055555557,"height":0.02}},{"char_start":120,"char_count":75,"bounds":{"left":0.0034722222,"top":0.16777778,"width":0.41666666,"height":0.02}},{"char_start":195,"char_count":91,"bounds":{"left":0.0034722222,"top":0.18777777,"width":0.50555557,"height":0.02}},{"char_start":286,"char_count":44,"bounds":{"left":0.0034722222,"top":0.20777778,"width":0.24444444,"height":0.02}}],"value":"Last login: Sun May 10 21:10:26 on ttys013\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio 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button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56666666,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7027778,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70694447,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.84305555,"top":0.05888889,"width":0.14027777,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.48819444,"top":0.033333335,"width":0.022916667,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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screenpipe_sync.sh — screenpipe [SSH: nas]
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp-zshDOCKER* *81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$-zsh*5screenpipe"100% <47*8•Mon 11 May 20:12:01T81• ÷6-zshX7...
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screenpipe_sync.sh — screenpipe [SSH: nas]
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screenpipe sync.sh — screenpipe SSH: nas100% 12P• screenpipe sync.sh — screenpipe SSH: nas100% 12P• мon 11 May 20.12-0108000SioV SCREENPIPE ISSH: NASI> #recycleconsumers> static• .env& cli.py# db.pv•docker-compose.vmli# Dockertilemain.py=requirements.txt→data>logs→oinec• aitianore* aoo settinas.ison=archive.db=archive.db-bal= db salite= dh calite.chmE dh calite-wall$ screennine svnc undated shi$ screenpipe sync.snE screennine dhs apo settinas.isonNUANANN47$ screenpipe sync.sh X•pipe.md• .env* Syncs yesterday (derault)sh 2026-04-15screenpipe sync.sh today# syncs today so farat 3am0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh > /Users/lukas/.screenpipe/sync.log 2>&1-euo pipefailCONFIGDB SRC="S(SCREENPIPE DB:-SHOME/.screenpipe/db.salite}"NAS MOUNIE"SINAS MOUNT:- Volumes Test//screendioe?"NAS DB="<NAS MOUNT/archiive.db"NAS DATA-"CNAS MOUNT /data"LOG FILE="$HOME/.screenpipe/sync.log'SCRIPT_START=$(date +%)local msg="[$(date '+%Y-%m-%d %H:%M:&S')] $**ecno suse" ceend SLus relestep)local now=S(date +%s)]loca elaosedes now - SCRIPT START))Ilocal min=s( elansed ( 60)local sec=s( elansed % 60))printf "\n[+%02dm%02ds] • %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"run salite heredoc() {local startes date +%slprintf"9-26c " "clahel"sqLites"SDB SRC" <<< "$sql" &[PASSWORD_DOTS]g.•g.р*)PROBLEMSOUTPUTAdm1nanypAg00pi lIC_R55g: /volume1/ccreenninee* MI23 Implement and run pipe l..Implement and run oipe logleAamin@DXP4800PLUS-B5F8:/volumel//screenpipe/apps sudo docker exec -it screenpipe-app python cli.py pipe day-recap -=date 2026-04-20Running pipe 'day-recap' for 2026-04-20...• Thinking >• The container started before you updated the .env, so it's using the old placeholder key. Restart it to pick up the new one:ca /vo lumel/screenpipe/appsudo docker compose restart screenoine-aooThen try adain:sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20Runnina nine 'dav-recan' for 2026-04.20..key is there now but Admin@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20Runnina oioe 'dav-recao' for 2026-04-20.1• The kev works — it authenticated successfullv. The error is iust that vour Anthropic account has no credits. Go to console.anthropic.com → Plans & Billina and add some credits (a few dollars is enouah fotesting)Once topped up, rerun the same command and it should work.* Esc to focus or unfocus ClaudeM screenpipe_sync.sh€Ask before edit.bash +vO@•|sxOUTIING> TIMELINE*SSH: nas 8 master* ©@0A0 @10 Lukas Kovalik (2 weeks ago) Ln 26, Col 1 Spaces: 2 UTF-8 LF () Shell Script 8 Sign In...
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screenpipe sync.sh — screenpipe SSH: nas100% 12P• screenpipe sync.sh — screenpipe SSH: nas100% 12P• мon 11 May 20.12-0108000SioV SCREENPIPE ISSH: NASI> #recycleconsumers> static• .env& cli.py# db.pv•docker-compose.vmli# Dockertilemain.py=requirements.txt→data>logs→oinec• aitianore* aoo settinas.ison=archive.db=archive.db-bal= db salite= dh calite.chmE dh calite-wall$ screennine svnc undated shi$ screenpipe sync.snE screennine dhs apo settinas.isonNUANANN47$ screenpipe sync.sh X•pipe.md• .env* Syncs yesterday (derault)sh 2026-04-15screenpipe sync.sh today# syncs today so farat 3am0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh > /Users/lukas/.screenpipe/sync.log 2>&1-euo pipefailCONFIGDB SRC="S(SCREENPIPE DB:-SHOME/.screenpipe/db.salite}"NAS MOUNIE"SINAS MOUNT:- Volumes Test//screendioe?"NAS DB="<NAS MOUNT/archiive.db"NAS DATA-"CNAS MOUNT /data"LOG FILE="$HOME/.screenpipe/sync.log'SCRIPT_START=$(date +%)local msg="[$(date '+%Y-%m-%d %H:%M:&S')] $**ecno suse" ceend SLus relestep)local now=S(date +%s)]loca elaosedes now - SCRIPT START))Ilocal min=s( elansed ( 60)local sec=s( elansed % 60))printf "\n[+%02dm%02ds] • %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"run salite heredoc() {local startes date +%slprintf"9-26c " "clahel"sqLites"SDB SRC" <<< "$sql" &[PASSWORD_DOTS]g.•g.р*)PROBLEMSOUTPUTAdm1nanypAg00pi lIC_R55g: /volume1/ccreenninee* MI23 Implement and run pipe l..Implement and run oipe logleAamin@DXP4800PLUS-B5F8:/volumel//screenpipe/apps sudo docker exec -it screenpipe-app python cli.py pipe day-recap -=date 2026-04-20Running pipe 'day-recap' for 2026-04-20...• Thinking >• The container started before you updated the .env, so it's using the old placeholder key. Restart it to pick up the new one:ca /vo lumel/screenpipe/appsudo docker compose restart screenoine-aooThen try adain:sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20Runnina nine 'dav-recan' for 2026-04.20..key is there now but Admin@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20Runnina oioe 'dav-recao' for 2026-04-20.1• The kev works — it authenticated successfullv. The error is iust that vour Anthropic account has no credits. Go to console.anthropic.com → Plans & Billina and add some credits (a few dollars is enouah fotesting)Once topped up, rerun the same command and it should work.* Esc to focus or unfocus ClaudeM screenpipe_sync.sh€Ask before edit.bash +vO@•|sxOUTIING> TIMELINE*SSH: nas 8 master* ©@0A0 @10 Lukas Kovalik (2 weeks ago) Ln 26, Col 1 Spaces: 2 UTF-8 LF () Shell Script 8 Sign In...
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
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UTF-8
Spaces: 2
Ln 40, Col 23
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.parti...
|
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to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 40, Col 23","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.07361114,"height":0.024444444},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.07708335,"height":0.017777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.08819449,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"}]...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 40, Col 23
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.parti...
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2026-05-11T17:12:04.515530+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519524515_m1.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Explorer Section: screenpipe [SSH: nas]
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#recycle
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app_settings.json, Editor Group 1
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#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 39, Col 1
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partit...
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 39, Col 1","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.07916665,"height":0.024444444},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.08263886,"height":0.017777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.09375,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 39, Col 1
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partit...
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NULL
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21098
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923
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8
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2026-05-11T17:12:04.507254+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519524507_m2.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
|
1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 39, Col 1
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range....
|
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1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"bounds":{"left":0.13763298,"top":0.5490822,"width":0.35804522,"height":0.014365523},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"bounds":{"left":0.13763298,"top":0.5490822,"width":0.35804522,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"bounds":{"left":0.5578458,"top":0.047885075,"width":0.073803194,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"bounds":{"left":0.118351065,"top":0.7278532,"width":0.027925532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"bounds":{"left":0.122340426,"top":0.7366321,"width":0.019946808,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"bounds":{"left":0.14594415,"top":0.7278532,"width":0.023603724,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"bounds":{"left":0.14993352,"top":0.7366321,"width":0.015625,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"bounds":{"left":0.16921543,"top":0.7278532,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"bounds":{"left":0.1732048,"top":0.7366321,"width":0.031914894,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"bounds":{"left":0.2087766,"top":0.7278532,"width":0.026595745,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"bounds":{"left":0.21276596,"top":0.7366321,"width":0.01861702,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"bounds":{"left":0.23537233,"top":0.7278532,"width":0.026263298,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"bounds":{"left":0.2393617,"top":0.7366321,"width":0.012300532,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"bounds":{"left":0.25465426,"top":0.73743016,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"bounds":{"left":0.0006648936,"top":0.98244214,"width":0.028590426,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.0033244682,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.017952127,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"bounds":{"left":0.93916225,"top":0.98244214,"width":0.023603724,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 39, Col 1","depth":16,"bounds":{"left":0.85139626,"top":0.98244214,"width":0.026595745,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":0.7869016,"top":0.98244214,"width":0.062832445,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.78856385,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":0.79388297,"top":0.9856345,"width":0.05418883,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"}]...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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UTF-8
Spaces: 2
Ln 39, Col 1
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range....
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21099
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923
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9
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2026-05-11T17:12:09.637481+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519529637_m2.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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monitor_2
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 352, Col 47 (13096 selected)
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel...
|
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Section","depth":21,"bounds":{"left":0.015957447,"top":0.9648843,"width":0.09940159,"height":0.017557861},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"bounds":{"left":0.01662234,"top":0.96727854,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"bounds":{"left":0.022606382,"top":0.9648843,"width":0.01761968,"height":0.017557861},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"bounds":{"left":0.022606382,"top":0.9688747,"width":0.01761968,"height":0.0103751},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.022606382,"top":0.9688747,"width":0.0026595744,"height":0.0103751}},{"char_start":1,"char_count":7,"bounds":{"left":0.025265958,"top":0.9688747,"width":0.015292553,"height":0.0103751}}],"role_description":"text"},{"role":"AXRadioButton","text":"app_settings.json, Editor Group 1","depth":28,"bounds":{"left":0.11569149,"top":0.047885075,"width":0.055851065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"bounds":{"left":0.17154256,"top":0.047885075,"width":0.06050532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"bounds":{"left":0.23171543,"top":0.047885075,"width":0.040226065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"bounds":{"left":0.11569149,"top":0.0933759,"width":0.38031915,"height":0.0007980846},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"bounds":{"left":0.11569149,"top":0.0933759,"width":0.35804522,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"bounds":{"left":0.5578458,"top":0.047885075,"width":0.073803194,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"bounds":{"left":0.118351065,"top":0.7278532,"width":0.027925532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"bounds":{"left":0.122340426,"top":0.7366321,"width":0.019946808,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"bounds":{"left":0.14594415,"top":0.7278532,"width":0.023603724,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"bounds":{"left":0.14993352,"top":0.7366321,"width":0.015625,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"bounds":{"left":0.16921543,"top":0.7278532,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"bounds":{"left":0.1732048,"top":0.7366321,"width":0.031914894,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"bounds":{"left":0.2087766,"top":0.7278532,"width":0.026595745,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"bounds":{"left":0.21276596,"top":0.7366321,"width":0.01861702,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"bounds":{"left":0.23537233,"top":0.7278532,"width":0.026263298,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"bounds":{"left":0.2393617,"top":0.7366321,"width":0.012300532,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"bounds":{"left":0.25465426,"top":0.73743016,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"bounds":{"left":0.0006648936,"top":0.98244214,"width":0.028590426,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.0033244682,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.017952127,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"bounds":{"left":0.93916225,"top":0.98244214,"width":0.023603724,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 352, Col 47 (13096 selected)","depth":16,"bounds":{"left":0.8125,"top":0.98244214,"width":0.06549202,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":0.74800533,"top":0.98244214,"width":0.062832445,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.7496675,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":0.7549867,"top":0.9856345,"width":0.05418883,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"}]...
|
-2310361797135886406
|
3898032390844845463
|
visual_change
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
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Spaces: 2
Ln 352, Col 47 (13096 selected)
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel...
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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Shell Script
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Spaces: 2
Ln 29, Col 35
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems 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(⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 29, Col 35","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.07361114,"height":0.024444444},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.07708335,"height":0.017777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.08819449,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 29, Col 35
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
No results found
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
21101
|
923
|
10
|
2026-05-11T17:12:11.596299+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519531596_m2.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
|
1
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
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Spaces: 2...
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Section","depth":21,"bounds":{"left":0.015957447,"top":0.9648843,"width":0.09940159,"height":0.017557861},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"bounds":{"left":0.01662234,"top":0.96727854,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"bounds":{"left":0.022606382,"top":0.9648843,"width":0.01761968,"height":0.017557861},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"bounds":{"left":0.022606382,"top":0.9688747,"width":0.01761968,"height":0.0103751},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.022606382,"top":0.9688747,"width":0.0026595744,"height":0.0103751}},{"char_start":1,"char_count":7,"bounds":{"left":0.025265958,"top":0.9688747,"width":0.015292553,"height":0.0103751}}],"role_description":"text"},{"role":"AXRadioButton","text":"app_settings.json, Editor Group 1","depth":28,"bounds":{"left":0.11569149,"top":0.047885075,"width":0.055851065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"bounds":{"left":0.17154256,"top":0.047885075,"width":0.06050532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"bounds":{"left":0.23171543,"top":0.047885075,"width":0.040226065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"bounds":{"left":0.13763298,"top":0.40542698,"width":0.38031915,"height":0.014365523},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"bounds":{"left":0.13763298,"top":0.40542698,"width":0.35804522,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"bounds":{"left":0.5578458,"top":0.047885075,"width":0.073803194,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"bounds":{"left":0.118351065,"top":0.7278532,"width":0.027925532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"bounds":{"left":0.122340426,"top":0.7366321,"width":0.019946808,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"bounds":{"left":0.14594415,"top":0.7278532,"width":0.023603724,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"bounds":{"left":0.14993352,"top":0.7366321,"width":0.015625,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"bounds":{"left":0.16921543,"top":0.7278532,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"bounds":{"left":0.1732048,"top":0.7366321,"width":0.031914894,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"bounds":{"left":0.2087766,"top":0.7278532,"width":0.026595745,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"bounds":{"left":0.21276596,"top":0.7366321,"width":0.01861702,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"bounds":{"left":0.23537233,"top":0.7278532,"width":0.026263298,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"bounds":{"left":0.2393617,"top":0.7366321,"width":0.012300532,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"bounds":{"left":0.25465426,"top":0.73743016,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"bounds":{"left":0.0006648936,"top":0.98244214,"width":0.028590426,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.0033244682,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.017952127,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"bounds":{"left":0.93916225,"top":0.98244214,"width":0.023603724,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-6464446508504939945
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3895780591031160215
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click
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
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remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
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No Problems
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Forwarded Ports: 8766
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|
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Claude Code
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Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
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pipes
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app_settings.json
archive.db
archive.db-bak
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screenpipe_sync.sh
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Outline Section
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app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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Shell Script
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Spaces: 2
Ln 29, Col 35
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal...
|
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1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"bounds":{"left":0.13763298,"top":0.36871508,"width":0.38031915,"height":0.014365523},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"bounds":{"left":0.13763298,"top":0.36871508,"width":0.35804522,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 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port","depth":22,"bounds":{"left":0.23537233,"top":0.7278532,"width":0.026263298,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"bounds":{"left":0.2393617,"top":0.7366321,"width":0.012300532,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"bounds":{"left":0.25465426,"top":0.73743016,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"bounds":{"left":0.0006648936,"top":0.98244214,"width":0.028590426,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.0033244682,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.017952127,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout 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8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"bounds":{"left":0.93916225,"top":0.98244214,"width":0.023603724,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 29, Col 35","depth":16,"bounds":{"left":0.8490692,"top":0.98244214,"width":0.028922873,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":0.78424203,"top":0.98244214,"width":0.062832445,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.7859042,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":0.7912234,"top":0.9856345,"width":0.05418883,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"}]...
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1661999495696698492
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3895833367589391637
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visual_change
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
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Spaces: 2
Ln 29, Col 35
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal...
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2026-05-11T17:12:18.681516+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519538681_m2.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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Forwarded Ports: 8766
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git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
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main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = li...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.057462092,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"bounds":{"left":0.0,"top":0.08619314,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.09577015,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"bounds":{"left":0.0,"top":0.1245012,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.13407822,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"bounds":{"left":0.00831117,"top":0.1452514,"width":0.003656915,"height":0.008778931},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.00831117,"top":0.14604948,"width":0.0016622341,"height":0.007980846}},{"char_start":1,"char_count":1,"bounds":{"left":0.009973404,"top":0.14604948,"width":0.0023271276,"height":0.007980846}}],"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"bounds":{"left":0.0,"top":0.16280925,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.17238627,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"bounds":{"left":0.0,"top":0.20111732,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.21069433,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"bounds":{"left":0.0,"top":0.23942538,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.2490024,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"bounds":{"left":0.009640957,"top":0.2601756,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude 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Editor Group 1","depth":28,"bounds":{"left":0.11569149,"top":0.047885075,"width":0.055851065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"bounds":{"left":0.17154256,"top":0.047885075,"width":0.06050532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"bounds":{"left":0.23171543,"top":0.047885075,"width":0.040226065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"bounds":{"left":0.13763298,"top":0.16041501,"width":0.38031915,"height":0.014365523},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"bounds":{"left":0.13763298,"top":0.16041501,"width":0.35804522,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 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(⌃`)","depth":22,"bounds":{"left":0.2087766,"top":0.7278532,"width":0.026595745,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"bounds":{"left":0.21276596,"top":0.7366321,"width":0.01861702,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"bounds":{"left":0.23537233,"top":0.7278532,"width":0.026263298,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"bounds":{"left":0.2393617,"top":0.7366321,"width":0.012300532,"height":0.0103751},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"bounds":{"left":0.25465426,"top":0.73743016,"width":0.0019946808,"height":0.008778931},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"bounds":{"left":0.0006648936,"top":0.98244214,"width":0.028590426,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.0033244682,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"bounds":{"left":0.008643617,"top":0.9856345,"width":0.017952127,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout 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8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"bounds":{"left":0.93916225,"top":0.98244214,"width":0.023603724,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: Inline Suggestions, next: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 352, Col 47 (13096 selected)","depth":16,"bounds":{"left":0.8125,"top":0.98244214,"width":0.06549202,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":0.74800533,"top":0.98244214,"width":0.062832445,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.7496675,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":0.7549867,"top":0.9856345,"width":0.05418883,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"}]...
|
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
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git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
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OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
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OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = li...
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NULL
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NULL
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NULL
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NULL
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21104
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922
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12
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2026-05-11T17:12:19.749919+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519539749_m1.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
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1
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NULL
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monitor_1
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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0
0
Forwarded Ports: 8766
1
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Implement and run pipe logic
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main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
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Let me look at the current project structure to understand what's already in place.
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IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md...
|
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to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. 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3","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Not Committed Yet","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Not Committed Yet","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"}]...
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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0
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Forwarded Ports: 8766
1
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md...
|
21100
|
NULL
|
NULL
|
NULL
|
|
21105
|
923
|
13
|
2026-05-11T17:12:19.781002+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519539781_m2.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
|
1
|
NULL
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monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
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Editor Group 1","depth":28,"bounds":{"left":0.11569149,"top":0.047885075,"width":0.055851065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"bounds":{"left":0.17154256,"top":0.047885075,"width":0.06050532,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"bounds":{"left":0.23171543,"top":0.047885075,"width":0.040226065,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":28,"bounds":{"left":0.13763298,"top":0.42617717,"width":0.38031915,"height":0.014365523},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. 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suggestions","depth":16,"bounds":{"left":0.9318484,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"bounds":{"left":0.9212101,"top":0.98244214,"width":0.007978723,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"bounds":{"left":0.90359044,"top":0.98244214,"width":0.015625,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"bounds":{"left":0.8796542,"top":0.98244214,"width":0.022273935,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 480, Col 3","depth":16,"bounds":{"left":0.8490692,"top":0.98244214,"width":0.028922873,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Not Committed Yet","depth":16,"bounds":{"left":0.8015292,"top":0.98244214,"width":0.045545213,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer (⇧⌘E) - 1 unsaved file
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
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SSH: nas
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Explorer Section: screenpipe [SSH: nas]
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#recycle
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cli.py
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app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
...
|
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"}]...
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
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db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
...
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21107
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923
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14
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2026-05-11T17:12:23.726035+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519543726_m2.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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monitor_2
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE...
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21108
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2026-05-11T17:12:28.074375+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519548074_m1.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py...
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click
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accessibility
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py...
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21106
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NULL
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NULL
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NULL
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21109
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923
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15
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2026-05-11T17:12:28.091350+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519548091_m2.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm...
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Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only rep...
|
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1","depth":28,"bounds":{"left":0.27194148,"top":0.047885075,"width":0.039893616,"height":0.02793296},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":28,"bounds":{"left":0.11569149,"top":0.0933759,"width":0.38031915,"height":0.0007980846},"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. 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In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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0
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Forwarded Ports: 8766
1
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Implement and run pipe logic
Session history
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main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only rep...
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15
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2026-05-11T17:12:48.123172+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519568123_m1.jpg...
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Implement and run pipe l… — screenpipe [SSH: nas]
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monitor_1
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py...
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Explorer (⇧⌘E) - 1 unsaved file
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Explorer (⇧⌘E) - 1 unsaved file
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Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
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Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
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Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
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#recycle
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consumers
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cli.py...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E) - 1 unsaved file
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Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
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app
__pycache__
consumers
static
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
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2026-05-11T17:12:49.416430+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519569416_m1.jpg...
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Code
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screenpipe_sync_updated.sh — screenpipe [SSH: nas] screenpipe_sync_updated.sh — screenpipe [SSH: nas] — Untracked...
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1
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monitor_1
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1...
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Explorer (⇧⌘E) - 1 unsaved file
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10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
EXPLORER
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Explorer Section: screenpipe [SSH: nas]
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db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
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Explorer (⇧⌘E) - 1 unsaved file
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
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screenpipe_sync_updated.sh — screenpipe [SSH: nas] screenpipe_sync_updated.sh — screenpipe [SSH: nas] — Untracked...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
screenpipe_sync_updated.sh, preview, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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0
0
Forwarded Ports: 8766
1
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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|
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.\nbuild_col_list() {\n local table=\"$1\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | sed 's/.*/\"&\"/' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # NOTE: the elements/ocr_text inserts use unqualified column names while\n # selecting from a JOIN. SQLite resolves them against the leftmost table\n # that has the column, which is what we want here (e.* / o.* implicitly),\n # because none of the column names collide with frames'.\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.\nbuild_col_list() {\n local table=\"$1\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | sed 's/.*/\"&\"/' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # NOTE: the elements/ocr_text inserts use unqualified column names while\n # selecting from a JOIN. SQLite resolves them against the leftmost table\n # that has the column, which is what we want here (e.* / o.* implicitly),\n # because none of the column names collide with frames'.\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.\nbuild_col_list() {\n local table=\"$1\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | sed 's/.*/\"&\"/' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # NOTE: the elements/ocr_text inserts use unqualified column names while\n # selecting from a JOIN. SQLite resolves them against the leftmost table\n # that has the column, which is what we want here (e.* / o.* implicitly),\n # because none of the column names collide with frames'.\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
screenpipe_sync_updated.sh, preview, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
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Debug Console (⇧⌘Y)
DEBUG CONSOLE
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remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
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Implement and run pipe logic
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main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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