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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync...
|
Claude
|
Claude
|
NULL
|
20801
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20802
|
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ClaudecalVIeWWindow•• е0, Chat:= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...April 2026 spending by categoryCode dift reviewScreenpipe retention policy code locatiolViewing retention policy in screenpipeclean snot x video recoraing terminatiorHubSpot rate limit handling with executeUntitledaScreen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Screenpipe sync database attachment eLast swimming outing with Dan, 50 lal100% C28• Mon 11 May 19:18:32Screenpipe sync script failing after recent migrationsbut how would that work with frames.id = 1 and all data there frame_id isforeign key? If I reinstall the frames-id will start from 1 again.Write a message…Opus 4.7 Adaptive v•••D+→с* New Tab• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8€ New Tab@ Screenpipe - Archive@ SQLite Web: archive.db x@ SQLite Web: db.sqlite4 New Taltable name…elementselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxvideo_chunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14706:23:20.994555÷00:00 /Users/|Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/ukas/.screenpineldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?aleam92229ezoneananlearellNULUlukas/.screenpipe/data/datal2026-04-14/177612026-04-14706:23:56.387802÷00:00 | /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitolK Lukas. ProClaude is Al and can make mistakes. Please double-check responses....
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual...
|
Claude
|
Claude
|
NULL
|
20808
|
|
20809
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt....
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Dawarich location tracking project
SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER€ 881DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running 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.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:19:16Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday ~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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VIeWWindowmeltScreenpipe sync script failing after recent migrations0, Chat:= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitledaScreen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedbut how would that work with frames.id = 1 and all data there frame_id isforeign key? If I reinstall the frames-id will start from 1 again.Resolved referential integrity through composite key joins using machine id ›xacuv the right question to ask. Here's now it WorksThe foreign key isn't elements. frame_id → frames.id anymore. It's(elements.machine_id, elements.frame_id) (frames.machine_id, frames.id).The machine id is part of the lookup. not iust sitting alongside it. Let me walk through alconcrete example.Before reinstallSource frames (machine_id = A):id=1, timestamp=2026-04-14, app="PhpStorm"source elementsid=1, frame_id=1, text="hello"id=2, frame_id=1,texte"worldtSync script does this - note the JOIN to fetch machine_id at insert time:INSERT INTO nas.elements (id, machine_id, frame_id, text, ...)SELtCl e.1d, T.machine 1d, e.trame 1d. e.text. ...FROM main.elements eJoIN main. frames + ON e.frame 1d = f.1dWHERE date(f.timestamp) = '2026-04-14';So the NAS rows look like:plements.(machine_id=A, id=1, frame_id=1, "hello")(machine id=A. id=2. frame id=1. "world")framesmachine id=A. id=1. 2026-04-14)Write a message…Opus 4.7 AdaptivelK Lukas. ProClaude is Al and can make mistakes. Please double-check responses., 50 lal100% C28• Mon 11 May 19:19:16→CNew Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8* New Tab@ Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tab• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxvideo_chunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/ukas/.screenpineldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?aleam92229ezoneananlearellNULUlukas/.screenpipe/data/datal2026-04-14/177612026-04-14706:23:56.387802÷00:00 | /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonito...
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Claude
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Claude
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NULL
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20812
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running 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.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:19:19Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday ~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/....
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted...
|
Claude
|
Claude
|
NULL
|
20817
|
|
20818
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:...
|
Claude
|
Claude
|
NULL
|
20818
|
|
20819
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on...
|
Claude
|
Claude
|
NULL
|
20819
|
|
20820
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy...
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Claude
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Claude
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NULL
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20820
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|
20821
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER0 81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running 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.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:20:55Describe what you are looking for# releases8 22• MessagesC FilesBookmarks+9353b609 - JYToday ~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases+..•...
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Definition of incarcerated
ClaudeVIewWindow•• •Screenpipe sync script failing after recent migrations0, Chat•= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Fermission deniea on screenpipe volumScreenpipe sync database attachment eLast swimming outing with DaniDefinition of incarceratedThe query that ties it together"Show me elements for the 2026-04-14 frame":SELECT e.textFROM elements eJOIN frames fON e.machine_id = f.machine_idAND e.trame 1d = 1.1d-- both halves of the FKWHERE date(f.timestamp) = '2026-04-14';Trace through:1. Trames matcning thedate: (A, 1, 2026-04-14) — that's the onty one2. Join elements where machine_id = A AND frame_id = 1: returns (A, 1, "hello")aDa A. 2."world")3. The May element (B, 1, "new content") is not returned because B # A on themachine_id half of the joinSame query for 2026-05-08 returns only "new content" . Clean separation, no leakage.The two implementation details that make this work1. machine_id propagated to dependent tables at sync time. elements and ocr_text don'tcarrv machine 1d in source — the svne serint JO Ns to source trames to nuli it in. then.writes it to NAS alongside the element row. Once it's there, it travels with the row forever.2. All future JOINs use the composite condition. Every elements - frames querv in vourtooling joins on both halves. It's slightly more verbose, but it's mechanical - once youwrle lt once in a vew orhelder. vou con tuink adouulr agaln.You can even create a view to hide the verbosity:CREATE VIEW elements with frame ASSELECT e.*, f.timestamp, f.app_name, f.window_name, f.document_pathFROM elements eJOIN frames f ON e.machine_id = f.machine_id AND e.frame_id = f.id;Then ad-hoc queries become SELECT * FROM elements_with_frame WHEREdate (timestamo) = 12026-05-08' — composite ioin handled inside the view. never have totype it again.Does this answer the FK concern? If yes, we can move to schemas and start building.Write a message…Opus 4.7 AdaptivelK Lukas. ProClaude is Al and can make mistakes. Please double-check responses.New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite4 New Tal, 50 lal100% C2&• Mon 11 May 19:20:55• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14706:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/ukas/.screenpineldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULLaleam9229970ndananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 | /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonito...
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER© *1DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running 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.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:21:15Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases+..•...
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ClaudeVIewWindow•• •Screenpipe sync script failing after recent migrations0, Chat•= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Fermission deniea on screenpipe volumScreenpipe sync database attachment eLast swimming outing with DaniDefinition of incarceratedThe query that ties it together"Show me elements for the 2026-04-14 frame":SELECT e.textFROM elements eJOIN frames fON e.machine_id = f.machine_idAND e.trame 1d = 1.1d-- both halves of the FKWHERE date(f.timestamp) = '2026-04-14';Trace through:1. Trames matcning thedate: (A, 1, 2026-04-14) — that's the onty one2. Join elements where machine_id = A AND frame_id = 1: returns (A, 1, "hello")aDa A. 2."world")3. The May element (B, 1, "new content") is not returned because B # A on themachine_id half of the joinSame query for 2026-05-08 returns only "new content" . Clean separation, no leakage.The two implementation details that make this work1. machine_id propagated to dependent tables at sync time. elements and ocr_text don'tcarrv machine 1d in source — the svne serint JO Ns to source trames to nuli it in. then.writes it to NAS alongside the element row. Once it's there, it travels with the row forever.2. All future JOINs use the composite condition. Every elements - frames querv in vourtooling joins on both halves. It's slightly more verbose, but it's mechanical - once youwrle lt once in a vew orhelder. vou con tuink adouulr agaln.You can even create a view to hide the verbosity:CREATE VIEW elements with frame ASSELECT e.*, f.timestamp, f.app_name, f.window_name, f.document_pathFROM elements eJOIN frames f ON e.machine_id = f.machine_id AND e.frame_id = f.id;Then ad-hoc queries become SELECT * FROM elements_with_frame WHEREdate (timestamo) = 12026-05-08' — composite ioin handled inside the view. never have totype it again.Does this answer the FK concern? If yes, we can move to schemas and start building.Write a message…Opus 4.7 AdaptivelK Lukas. ProClaude is Al and can make mistakes. Please double-check responses.New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite4 New Tal, 50 lal100% C28• Mon 11 May 19:21:15• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14706:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULLaleam9229970ndananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 | /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonito...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data....
|
Claude
|
Claude
|
NULL
|
20825
|
|
20826
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors....
|
Claude
|
Claude
|
NULL
|
20826
|
|
20827
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps....
|
Claude
|
Claude
|
NULL
|
20827
|
|
20828
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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Give positive feedback
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on...
|
Claude
|
Claude
|
NULL
|
20828
|
|
20840
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking....
|
Claude
|
Claude
|
NULL
|
20840
|
|
20841
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (...
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Claude
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NULL
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20841
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running 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.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:22:25Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday ~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases+..•...
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calVIewWinaowmeltScreenpipe sync script failing after recent migrations v0, Chat= Cowork" Coae+ New chatã Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitleda Screen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can…..Screenpipe sync database attachment eLast swimming outing with DaniDefinition of incarceratedDoes tnis answer the rn concern? Il yes, we can move to schemas and start Dullaing.But then I need to implement how the data is linked. For example, imagine Ihave frames id one machine id one and frames id one machine id two, and thenunere is. leus sav. a video chunk or somethino similar, and then theres areference to frame id. How would I know which frame id this chunk belongs to?It only reterences the trame, not the machine.Mapped combosite key propagation through chained table reterences ›You've spotted exactly the right thing. The answer is that machine_id is stamped on every rowat syne time, before it ever lands on NAS. Source's frame id=1 becomes NAS's(machine_id=A, frame_id=1) because the sync script knows which install it's reading fromand lags rows as thev cross te wire.How it worksEvery Mac install has exactly one machine_id. So during any single sync run, all data beingread from the source belongs to that one machine_id. The script reads it once at the start:MACHINE_ID=$(sqlite3 "$DB_SRC" "SELECT DISTINCT machine_id FROM frames LIMIT 1;")Then injects it as a literal into every insert:-- elements doesn't carry machine_id in source, so we inject itINSERT INTO nas.elements (machine_id, id, frame_id, text, ...)SELECT "SMACHINE ID', e.id. e frame 1d. e.text..FROM main.elements eJOIN main.frames f ON e.frame_id = f.idWHERE date(f.timestamp) = '$TARGET_DATE';By the time the row hits NAS, it's a complete composite address: (machine_id=A, id=42,frame_id=1) . The reference to "frame 1" is no longer ambiguous because the element itselfknows which machine it came from.Walk through your chained examplePretend it's after hoth sunes. NAs now contain:Write a message..Opus 4.7 AdaptivelK Lukas. ProCiaudo ic Aland can make mictakas Plesce double-chock recnoncoc)→New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite4 New TalCy0 l o100% C28• Mon 11 May 19:22:25• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser urlSlackdevicemonito NULL2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users/data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?aleam92229ezoneananlearellNULUlukas/.screenpipe/data/datal2026-04-14/177612026-04-14706:23:56.387802÷00:00 /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLmonitomonitomonitomonitomonitomonitcmonitomonitomonitoooascnd...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs...
|
Claude
|
Claude
|
NULL
|
20844
|
|
20845
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT...
|
Claude
|
Claude
|
NULL
|
20845
|
|
20846
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query...
|
Claude
|
Claude
|
NULL
|
20846
|
|
20847
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,...
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ClaudecalVIewWinaow0, Chat= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notiont® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitleda Screen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedScreenpipe sync script failing after recent migrations v-- elements doesn't carry machine_id in source, so we inject itINSERT INTO nas.elements (machine id, id, frame id, text, ...)SELECI' SMACHINE 10, e.10, e.trame 10, e.texc. ..rrom main.elements eJOIN main.frames f ON e.frame_id = f.idWHERE date(f.timestamp) = '$TARGET_DATE';By the time the row hits NAS, it's a complete composite address: (machine_id=A, id=42,frame_id=1) . The reference to "frame 1" is no longer ambiguous because the element itselfknows which machmeltcamerrom.Walk through your chained examplePretend it's after both syncs. NAS now contains:video chunks:(machine_id=A, id=1, file="april.mp4")(machine_id=B, id=1, file="may-mp4")frames:(machine_id=A,id=1, video_chunk_id=1,timestamp=2026-04-14)(machine_id=B, id=1, video_chunk_id=1, timestamp=2026-05-08)erements.machine ideA. 1de1, frame 1d=1. "aori ellement")machine ioeß. 10=1, Frame 1o=1. "mav ellement™)Notice every row carries its machine_id. So when you ask "what video chunk does the 2026-05-08 frame point to?":SELECT vc.fileFROM trames 1Join vildeo chunks voON f machine 1d = ve machine 1d-- comnosite £kAND f.video_chunk_id = vc.idWHERE date(f.timestamp) = '2026-05-08';Trace:1. Match frames for that date → (B, 1, vc=1)2 Join video chunks where machine id=R aun id=1 → returns "mav.mn4"3. The April video chunk (A, 1, "april.mp«is eveluded hecnuse AzRon theWrite a message…Opus 4.7 AdaptivelK Lukas. ProClaude is Al and can make mistakes. Please double-check responses., 50 lal100% C28• Mon 11 May 19:23:25→C• db.screenpipe.lakylak.xyz/frames/content/New Tabsqlite-web 0.7.2archive.db frames 96749 rows, showing page 1(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8* New Tab@ Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tabeletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxvideo_chunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14706:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users/data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?valeam92229ezonnananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 | /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonito...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
Retry
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at...
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Claude
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Claude
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NULL
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20850
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20851
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0, Chat:= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitleda Screen oine. Is there ability..SMB mount access inconsistency betweWhat is the best switch I can..rermission deniea on screenpipe volumeScreenpipe sync database attachment eLast swimming outing with DanDefinition of incarceratedVIeWWindowScreenpipe sync script failing after recent migrations vune 10-b, 10-1, Video chunk 10-1, Clmestamp-4020-00-00ellements.(machine_id=A, id=1, frame_id=1, "april element")(machine_id=B, id=1, frame_id=1,"may erement"Notice every row carries its machine_id. So when you ask "what video chunk does the 2026-05-08 frame point to?":seLec ve.ruleFROM frames +JOIN video_chunks vcON f.machine_id = vc.machine_idAND f.video_chunk_id = vc.idWHERE date(t.timestamo =2026-05-08'composite FKTrace:I March trames tormarddres b. 1. voai2. Join video_chunks where machine_id=B AND id=1 → returns "may .mp4"3. The April video chunk (A, 1, "april.mp4") is excluded because A#B on themachine id haltSame logic if you walk further: element frame → video_chunk. Each hop carries machine_idforward.The mental modelThink of machine_id as a namespace prefix that gets stamped onto every reference. Sourcehas frame_id=1, but the moment it lands on NAS it effectively becomes A:1 or B:1. Thecomposite JOIN says "find the frame that matches both halves of the namespaced reference."The only piece that requires care is the propagation logic in the sync script — once a row iscorrectly tagged, queries are straightforward composite JOINs and the chain holds.Want to look at the actual schemas next, or any other part of the model you want to pressure-resuaistWrite a message…Opus 4.7 AdaptivelK Lukas. ProClaude is Al and can make mistakes. Please double-check responses..50 lal100% C28• Mon 11 May 19:23:34. +→ C• db.screenpipe.lakylak.xyz/frames/content/New Tabsqlite-web 0.7.2archive.db frames 96749 rows, showing page 1(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tabeletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxvideo_chunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14706:23:20.994555÷00:00 | /Users/|Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?aleam92229ezoneananlearellNULUlukas/.screenpipe/data/datal2026-04-14/177612026-04-14706:23:56.387802÷00:00 | /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitoonA5 manan...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table...
|
Claude
|
Claude
|
NULL
|
20853
|
|
20854
|
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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Give positive feedback
Give negative feedback
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
Copy
Give positive feedback
Give negative feedback
You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file...
|
Claude
|
Claude
|
NULL
|
20854
|
|
20855
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns...
|
Claude
|
Claude
|
NULL
|
20855
|
|
20856
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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Give positive feedback
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE...
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SlackFileEditViewGoHistoryWindowHelpAPP (|DOCKER*81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiandcontributors.PHP runtime: 8.3.30Running 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.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at [URL_WITH_CREDENTIALS] bose qc35 llM720 TriathlonMagic KeyboardMagic KeyboardSoundcore Life Dot 2 NCBluetooth Settings...CircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:...
|
Claude
|
Claude
|
NULL
|
20868
|
|
20869
|
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Claude0, Chat"- Cowork‹/> Code+ New chatã Projects80 Artifactse CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notion t® How much have I spent for groc...April 2026 spending by categoryCode dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatiolViewing retention policy in screenpipeclean snot x video recoraing terminatiorHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..rermission deniea on screenpipe volumeScreenpipe sync database attachment eLast swimming outing with DanDefinition of incarceratedScreenpipe sync script failing after recent migrationsWhat is that tast? It seems like the key tor indexation is much slower!Weighed combosite kev vertormance trade-ofts and orovosed sunthetic integer solution ›Your intuition is right, and I should have flagged this earlier rather than handwaving past it.What's actually slowerSQLite has a special case: a column declared exactly INTEGER PRIMARY KEY becomes an aliasfor the table's internal ROWID. The table itself is a B-tree keyed by that integer — no separateindex, lookups are one traversalThe moment you use anything else as PRIMARY KEY (composite, TEXT, even INT instead ofINTEGER ), SQLite falls back to a hidden auto rowia plus a separate b-tree for your declared PK.Now every lookup is two traversals:1. Search the PK index → find the hidden rowid2. Look up the rowid in the tableSo PRIMARY KEY (machine_id, id) with machine_id as a 36-char UUID is genuinely slowerper lookup - both from the extra indirection and from byte-by-byte text comparison vsinteger comparison. For a 10M-row table, real numbers are roughly:SchemePer-lookup costndey sizeINTEGER PRIMARY KEYPRIMARY KEY (TEXT, INT)~1us~3-5ussmallest~sx argerFor ad-hoc human queries (your workload) the difference is invisible. For batched INSERT ORIGNORE during nightly sync - checking millions of conflicts against the unique index — itdoes add up.Better design: synthetic NAS-side rowidKeep INTEGER PRIMARY KEY AUTOINCREMENT as the actual PK (fastest), and add UNIQUE(machine id, id) as a separate constraint. INSERT OR IGNORE still works correctly becauseuniqueness conflicts on either PK or any UNIQUE index trigger the IGNORE.CREATE TABLE frames (Write a message…Opus 4.7 Adaptiveik tukas. ProClaude is Al and can make mistakes. Please double-check responses.•0 l O0100% 5?• Mon 11 May 19:26:10New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8* New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tab• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestamp8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/datadata/2026-04-14/ NULLapp_name window_name focused browser_urlSlackNULL2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)NULLdata/datal2026-04-14/17762026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448÷00:00 /Users/Slacklukas/.screenpipe/datalidata/2026-04-14/17762026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?aleam92229ezoneananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitoooascnd...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—...
|
Claude
|
Claude
|
NULL
|
20871
|
|
20872
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories...
|
Claude
|
Claude
|
NULL
|
20872
|
|
20873
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors....
|
Claude
|
Claude
|
NULL
|
20873
|
|
20874
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never...
|
Claude
|
Claude
|
NULL
|
20874
|
|
20875
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by...
|
Claude
|
Claude
|
NULL
|
20875
|
|
20876
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/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 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT...
|
Claude
|
Claude
|
NULL
|
20876
|