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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
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0
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Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1
Copy code to clipboard
OUT
Table "public.sleep"
Column | Type | Collation | Nullable | Default
------------------+-------------------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('sleep_id_seq'::regclass)
date | date | | |
start | character varying | | |
end | character varying | | |
duration_minutes | integer | | |
Indexes:
"sleep_pkey" PRIMARY KEY, btree (id)
"ix_sleep_date" btree (date)
"ix_sleep_id" btree (id)
Table "public.steps"
Column | Type | Collation | Nullable | Default
--------+---------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('steps_id_seq'::regclass)
date | date | | |
steps | integer | | |
Indexes:
"steps_pkey" PRIMARY KEY, btree (id)
"ix_steps_date" btree (date)
"ix_steps_id" btree (id)
Table "public.heartrate"
Column | Type | Collation | Nullable | Default
--------+------------------------+-----------+----------+---------------------------------------
id | integer | | not null | nextval('heartrate_id_seq'::regclass)
date | date | | |
time | time without time zone | | |
bpm | integer | | |
Indexes:
"heartrate_pkey" PRIMARY KEY, btree (id)
"ix_heartrate_date" btree (date)
"ix_heartrate_id" btree (id)
Bash
Check row counts and date ranges in all tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT COUNT(*), MIN(date), MAX(date) FROM sleep;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM steps;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM heartrate;" 2>&1
Copy code to clipboard
OUT
count | min | max
-------+------------+------------
171 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
199 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
59007 | 2025-09-24 | 2026-05-25
(1 row)
Bash
Sample data from all 3 tables...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
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Source Control (⌃⇧G)
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Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1
Copy code to clipboard
OUT
Table "public.sleep"
Column | Type | Collation | Nullable | Default
------------------+-------------------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('sleep_id_seq'::regclass)
date | date | | |
start | character varying | | |
end | character varying | | |
duration_minutes | integer | | |
Indexes:
"sleep_pkey" PRIMARY KEY, btree (id)
"ix_sleep_date" btree (date)
"ix_sleep_id" btree (id)
Table "public.steps"
Column | Type | Collation | Nullable | Default
--------+---------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('steps_id_seq'::regclass)
date | date | | |
steps | integer | | |
Indexes:
"steps_pkey" PRIMARY KEY, btree (id)
"ix_steps_date" btree (date)
"ix_steps_id" btree (id)
Table "public.heartrate"
Column | Type | Collation | Nullable | Default
--------+------------------------+-----------+----------+---------------------------------------
id | integer | | not null | nextval('heartrate_id_seq'::regclass)
date | date | | |
time | time without time zone | | |
bpm | integer | | |
Indexes:
"heartrate_pkey" PRIMARY KEY, btree (id)
"ix_heartrate_date" btree (date)
"ix_heartrate_id" btree (id)
Bash
Check row counts and date ranges in all tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT COUNT(*), MIN(date), MAX(date) FROM sleep;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM steps;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM heartrate;" 2>&1
Copy code to clipboard
OUT
count | min | max
-------+------------+------------
171 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
199 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
59007 | 2025-09-24 | 2026-05-25
(1 row)
Bash
Sample data from all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT * FROM sleep ORDER BY date DESC LIMIT 5;" -c "SELECT * FROM steps ORDER BY date DESC LIMIT 5;" -c "SELECT date, MIN(bpm), MAX(bpm), AVG(bpm)::int FROM heartrate GROUP BY date ORDER BY date DESC LIMIT 5;" 2>&1
Copy code to clipboard
OUT
id | date | start | end | duration_minutes
-----+------------+---------------+---------------+------------------
171 | 2026-05-25 | 1779657840000 | 1779678660000 | 321
170 | 2026-05-24 | 1779568200000 | 1779600540000 | 501
169 | 2026-05-23 | 1779486420000 | 1779506940000 | 315
168 | 2026-05-22 | 1779400140000 | 1779420660000 | 313
167 | 2026-05-21 | 1779308880000 | 1779332760000 | 372
(5 rows)
id | date | steps
-----+------------+-------
199 | 2026-05-25 | 134
198 | 2026-05-24 | 3025
197 | 2026-05-23 | 2597
196 | 2026-05-22 | 2221
195 | 2026-05-21 | 3333
(5 rows)
date | min | max | avg
------------+-----+-----+-----
2026-05-25 | 54 | 102 | 67
2026-05-24 | 48 | 115 | 69
2026-05-23 | 52 | 112 | 73
2026-05-22 | 53 | 119 | 74
2026-05-21 | 47 | 119 | 71
(5 rows)
Thinking
Thinking
Read
Dockerfile
Dockerfile
Thinking
Thinking
Good data — 171 sleep records, 199 days of steps, 59k HR readings, all from Sep 2025 to today. Now I'll add the query endpoints and build the dashboard UI.
Read
main.py
main.py...
|
Code
|
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72852
|
|
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|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72853
|
|
72854
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72854
|
|
72855
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer...
|
Code
|
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Explorer (⇧⌘E)
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Source Control (⌃⇧ Explorer (⇧⌘E)
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Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72856
|
|
72857
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72857
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72858
|
|
72859
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72859
|
|
72860
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72860
|
|
72861
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72861
|
|
72862
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72862
|
|
72863
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72863
|
|
72864
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
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Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
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2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72865
|
|
72866
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72866
|
|
72867
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72867
|
|
72868
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72868
|
|
72869
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
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|
72869
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72870
|
|
72871
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72871
|
|
72872
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
)....
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72872
|
|
72873
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72873
|
|
72874
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72874
|
|
72875
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py...
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GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
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TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
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Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration [URL_WITH_CREDENTIALS]
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
body { font-family: system-ui, -apple-system, sans-serif; background: #0f172a; color: #e2e8f0; min-height: 100vh; }
header { background: #1e293b; border-bottom: 1px solid #334155; padding: 1rem 1.5rem; display: flex; align-items: center; gap: 1rem; flex-wrap: wrap; }
header h1 { font-size: 1.2rem; font-weight: 700; color: #38bdf8; flex: 1; }
.controls { display: flex; align-items: center; gap: .75rem; flex-wrap: wrap; }
.controls label { font-size: .8rem; color: #94a3b8; }
.controls input[type=date] { background: #0f172a; border: 1px solid #475569; color: #e2e8f0; padding: .35rem .6rem; border-radius: 6px; font-size: .85rem; }
.controls input[type=date]::-webkit-calendar-picker-indicator { filter: invert(1); }
button { background: #0ea5e9; color: #fff; border: none; padding: .4rem 1rem; border-radius: 6px; font-size: .85rem; cursor: pointer; font-weight: 600; }
button:hover { background: #38bdf8; }
main { padding: 1.5rem; max-width: 1400px; margin: 0 auto; }
.stats { display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 1rem; margin-bottom: 1.5rem; }
.stat { background: #1e293b; border: 1px solid #334155; border-radius: 10px; padding: 1rem 1.2rem; }
.stat-label { font-size: .75rem; color: #64748b; text-transform: uppercase; letter-spacing: .05em; margin-bottom: .3rem; }
.stat-value { font-size: 1.7rem; font-weight: 700; }
.stat-value.blue { color: #38bdf8; }
.stat-value.green { color: #4ade80; }
.stat-value.red { color: #f87171; }
.stat-value.purple { color: #c084fc; }
.section { background: #1e293b; border: 1px solid #334155; border-radius: 10px; margin-bottom: 1.5rem; overflow: hidden; }
.section-header { padding: .9rem 1.2rem; background: #162032; border-bottom: 1px solid #334155; font-size: .9rem; font-weight: 600; color: #94a3b8; display: flex; align-items: center; gap: .5rem; }
.chart-wrap { padding: 1rem 1.2rem; height: 260px; }
.table-wrap { overflow-x: auto; }
table { width: 100%; border-collapse: collapse; font-size: .82rem; }
th { background: #0f172a; color: #64748b; font-weight: 600; text-transform: uppercase; letter-spacing: .04em; font-size: .72rem; padding: .55rem 1rem; text-align: left; border-bottom: 1px solid #334155; }
td { padding: .5rem 1rem; border-bottom: 1px solid #1e293b; color: #cbd5e1; }
tr:last-child td { border-bottom: none; }
tr:hover td { background: #162032; }
.badge { display: inline-block; padding: .15rem .5rem; border-radius: 99px; font-size: .72rem; font-weight: 600; }
.badge-green { background: #14532d; color: #4ade80; }
.badge-yellow { background: #713f12; color: #fde047; }
.badge-red { background: #7f1d1d; color: #f87171; }
.loading { text-align: center; padding: 2rem; color: #475569; }
.db-schema { background: #1e293b; border: 1px solid #334155; border-radius: 10px; margin-bottom: 1.5rem; }
.schema-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 1px; background: #334155; }
.schema-table { background: #1e293b; padding: 1rem 1.2rem; }
.schema-table h3 { font-size: .82rem; font-weight: 700; color: #38bdf8; margin-bottom: .6rem; font-family: monospace; }
.schema-row { display: flex; gap: .5rem; font-family: monospace; font-size: .75rem; padding: .2rem 0; border-bottom: 1px solid #1a2942; }
.schema-row:last-child { border-bottom: none; }
.col-name { color: #e2e8f0; min-width: 140px; }
.col-type { color: #94a3b8; }
.col-pk { color: #fbbf24; font-size: .65rem; border: 1px solid #fbbf24; padding: .05rem .25rem; border-radius: 3px; align-self: center; }
</style>
</head>
<body>
<header>
<h1>🏃 Garmin Dashboard</h1>
<div class="controls">
<label>From</label>
<input type="date" id="from_date">
<label>To</label>
<input type="date" id="to_date">
<button onclick="loadAll()">Refresh</button>
</div>
</header>
<main>
<!-- Summary stats -->
<div class="stats">
<div class="stat"><div class="stat-label">Avg Sleep</div><div class="stat-value blue" id="avg-sleep">—</div></div>
<div class="stat"><div class="stat-label">Best Sleep</div><div class="stat-value purple" id="best-sleep">—</div></div>
<div class="stat"><div class="stat-label">Avg Steps</div><div class="stat-value green" id="avg-steps">—</div></div>
<div class="stat"><div class="stat-label">Best Steps Day</div><div class="stat-value green" id="best-steps">—</div></div>
<div class="stat"><div class="stat-label">Avg Resting HR</div><div class="stat-value red" id="avg-hr">—</div></div>
<div class="stat"><div class="stat-label">HR Range</div><div class="stat-value red" id="hr-range">—</div></div>
</div>
<!-- Sleep -->
<div class="section">
<div class="section-header">😴 Sleep Duration</div>
<div class="chart-wrap"><canvas id="sleepChart"></canvas></div>
<div class="table-wrap">
<table>
<thead><tr><th>Date</th><th>Duration</th><th>Bedtime</th><th>Wake</th><th>Quality</th></tr></thead>
<tbody id="sleep-tbody"><tr><td colspan="5" class="loading">Loading…</td></tr></tbody>
</table>
</div>
</div>
<!-- Steps -->
<div class="section">
<div class="section-header">👟 Daily Steps</div>
<div class="chart-wrap"><canvas id="stepsChart"></canvas></div>
<div class="table-wrap">
<table>
<thead><tr><th>Date</th><th>Steps</th><th>vs Goal (8 000)</th></tr></thead>
<tbody id="steps-tbody"><tr><td colspan="3" class="loading">Loading…</td></tr></tbody>
</table>
</div>
</div>
<!-- Heart Rate -->
<div class="section">
<div class="section-header">❤️ Heart Rate (daily min / avg / max)</div>
<div class="chart-wrap"><canvas id="hrChart"></canvas></div>
<div class="table-wrap">
<table>
<thead><tr><th>Date</th><th>Min</th><th>Avg</th><th>Max</th></tr></thead>
<tbody id="hr-tbody"><tr><td colspan="4" class="loading">Loading…</td></tr></tbody>
</table>
</div>
</div>
<!-- DB Schema -->
<div class="db-schema">
<div class="section-header" style="padding:.9rem 1.2rem;background:#162032;border-bottom:1px solid #334155;font-size:.9rem;font-weight:600;color:#94a3b8;">🗄️ Database Schema (PostgreSQL)</div>
<div class="schema-grid">
<div class="schema-table">
<h3>sleep</h3>
<div class="schema-row"><span class="col-name">id</span><span class="col-type">integer</span><span class="col-pk">PK</span></div>
<div class="schema-row"><span class="col-name">date</span><span class="col-type">date</span></div>
<div class="schema-row"><span class="col-name">start</span><span class="col-type">varchar — epoch ms</span></div>
<div class="schema-row"><span class="col-name">end</span><span class="col-type">varchar — epoch ms</span></div>
<div class="schema-row"><span class="col-name">duration_minutes</span><span class="col-type">integer</span></div>
</div>
<div class="schema-table">
<h3>steps</h3>
<div class="schema-row"><span class="col-name">id</span><span class="col-type">integer</span><span class="col-pk">PK</span></div>
<div class="schema-row"><span class="col-name">date</span><span class="col-type">date</span></div>
<div class="schema-row"><span class="col-name">steps</span><span class="col-type">integer</span></div>
</div>
<div class="schema-table">
<h3>heartrate</h3>
<div class="schema-row"><span class="col-name">id</span><span class="col-type">integer</span><span class="col-pk">PK</span></div>
<div class="schema-row"><span class="col-name">date</span><span class="col-type">date</span></div>
<div class="schema-row"><span class="col-name">time</span><span class="col-type">time</span></div>
<div class="schema-row"><span class="col-name">bpm</span><span class="col-type">integer</span></div>
</div>
</div>
</div>
</main>
<script>
let sleepChart, stepsChart, hrChart;
const CHART_DEFAULTS = {
responsive: true,
maintainAspectRatio: false,
plugins: { legend: { labels: { color: '#94a3b8', font: { size: 11 } } } },
scales: {
x: { ticks: { color: '#64748b', maxTicksLimit: 14, font: { size: 10 } }, grid: { color: '#1e293b' } },
y: { ticks: { color: '#64748b', font: { size: 10 } }, grid: { color: '#334155' } }
}
};
function initDates() {
const to = new Date();
const from = new Date();
from.setDate(from.getDate() - 30);
document.getElementById('to_date').value = to.toISOString().slice(0, 10);
document.getElementById('from_date').value = from.toISOString().slice(0, 10);
}
function params() {
const f = document.getElementById('from_date').value;
const t = document.getElementById('to_date').value;
return `from_date=${f}&to_date=${t}`;
}
function fmtHrs(mins) {
if (mins == null) return '—';
const h = Math.floor(mins / 60), m = mins % 60;
return `${h}h ${m}m`;
}
function sleepBadge(mins) {
if (mins >= 420) return '<span class="badge badge-green">Good</span>';
if (mins >= 360) return '<span class="badge badge-yellow">Fair</span>';
return '<span class="badge badge-red">Short</span>';
}
function stepsBadge(steps) {
if (steps >= 8000) return '<span class="badge badge-green">✓ Goal</span>';
if (steps >= 5000) return '<span class="badge badge-yellow">Close</span>';
return '<span class="badge badge-red">Low</span>';
}
async function loadSleep() {
const res = await fetch(`/data/sleep?${params()}`);
const data = await res.json();
// Stats
const valid = data.filter(d => d.duration_minutes);
if (valid.length) {
const avg = Math.round(valid.reduce((s, d) => s + d.duration_minutes, 0) / valid.length);
const best = Math.max(...valid.map(d => d.duration_minutes));
document.getElementById('avg-sleep').textContent = fmtHrs(avg);
document.getElementById('best-sleep').textContent = fmtHrs(best);
}
// Chart
if (sleepChart) sleepChart.destroy();
const ctx = document.getElementById('sleepChart').getContext('2d');
sleepChart = new Chart(ctx, {
type: 'bar',
data: {
labels: data.map(d => d.date.slice(5)),
datasets: [{
label: 'Sleep (hours)',
data: data.map(d => d.duration_hours),
backgroundColor: data.map(d => (d.duration_minutes || 0) >= 420 ? '#1d4ed8aa' : (d.duration_minutes || 0) >= 360 ? '#b45309aa' : '#991b1baa'),
borderRadius: 3,
}]
},
options: {
...CHART_DEFAULTS,
plugins: { ...CHART_DEFAULTS.plugins, annotation: {} },
scales: { ...CHART_DEFAULTS.scales, y: { ...CHART_DEFAULTS.scales.y, min: 0, max: 10 } }
}
});
// Table
const tbody = document.getElementById('sleep-tbody');
if (!data.length) { tbody.innerHTML = '<tr><td colspan="5" class="loading">No data</td></tr>'; return; }
tbody.innerHTML = [...data].reverse().map(d => `
<tr>
<td>${d.date}</td>
<td><strong>${fmtHrs(d.duration_minutes)}</strong></td>
<td>${d.start || '—'}</td>
<td>${d.end || '—'}</td>
<td>${sleepBadge(d.duration_minutes)}</td>
</tr>`).join('');
}
async function loadSteps() {
const res = await fetch(`/data/steps?${params()}`);
const data = await res.json();
// Stats
if (data.length) {
const avg = Math.round(data.reduce((s, d) => s + d.steps, 0) / data.length);
const best = Math.max(...data.map(d => d.steps));
document.getElementById('avg-steps').textContent = avg.toLocaleString();
document.getElementById('best-steps').textContent = best.toLocaleString();
}
// Chart
if (stepsChart) stepsChart.destroy();
const ctx = document.getElementById('stepsChart').getContext('2d');
stepsChart = new Chart(ctx, {
type: 'bar',
data: {
labels: data.map(d => d.date.slice(5)),
datasets: [{
label: 'Steps',
data: data.map(d => d.steps),
backgroundColor: data.map(d => d.steps >= 8000 ? '#15803daa' : d.steps >= 5000 ? '#b45309aa' : '#64748baa'),
borderRadius: 3,
}, {
label: 'Goal (8 000)',
data: data.map(() => 8000),
type: 'line',
borderColor: '#475569',
borderDash: [4, 4],
pointRadius: 0,
borderWidth: 1,
}]
},
options: { ...CHART_DEFAULTS }
});
// Table
const tbody = document.getElementById('steps-tbody');
if (!data.length) { tbody.innerHTML = '<tr><td colspan="3" class="loading">No data</td></tr>'; return; }
tbody.innerHTML = [...data].reverse().map(d => `
<tr>
<td>${d.date}</td>
<td><strong>${d.steps.toLocaleString()}</strong></td>
<td>${stepsBadge(d.steps)}</td>
</tr>`).join('');
}
async function loadHR() {
const res = await fetch(`/data/heartrate?${params()}`);
const data = await res.json();
// Stats
if (data.length) {
const avg = Math.round(data.reduce((s, d) => s + d.avg, 0) / data.length);
const minAll = Math.min(...data.map(d => d.min));
const maxAll = Math.max(...data.map(d => d.max));
document.getElementById('avg-hr').textContent = `${avg} bpm`;
document.getElementById('hr-range').textContent = `${minAll}–${maxAll}`;
}
// Chart
if (hrChart) hrChart.destroy();
const ctx = document.getElementById('hrChart').getContext('2d');
hrChart = new Chart(ctx, {
type: 'line',
data: {
labels: data.map(d => d.date.slice(5)),
datasets: [
{
label: 'Max HR',
data: data.map(d => d.max),
borderColor: '#f8717155',
backgroundColor: '#f8717122',
fill: '+1',
pointRadius: 0,
borderWidth: 1,
tension: 0.3,
},
{
label: 'Avg HR',
data: data.map(d => d.avg),
borderColor: '#f87171',
backgroundColor: 'transparent',
pointRadius: 2,
borderWidth: 2,
tension: 0.3,
},
{
label: 'Min HR',
data: data.map(d => d.min),
borderColor: '#f8717155',
backgroundColor: '#f8717100',
fill: false,
pointRadius: 0,
borderWidth: 1,
tension: 0.3,
},
]
},
options: { ...CHART_DEFAULTS }
});
// Table
const tbody = document.getElementById('hr-tbody');
if (!data.length) { tbody.innerHTML = '<tr><td colspan="4" class="loading">No data</td></tr>'; return; }
tbody.innerHTML = [...data].reverse().map(d => `
<tr>
<td>${d.date}</td>
<td>${d.min}</td>
<td><strong>${d.avg}</strong></td>
<td>${d.max}</td>
</tr>`).join('');
}
async function loadAll() {
await Promise.all([loadSleep(), loadSteps(), loadHR()]);
}
initDates();
loadAll();
</script>
</body>
</html>
Now rebuild and restart the container:
Bash
Rebuild garmin-api image
IN
docker-compose build --no-cache garmin-api 2>&1 | tail -15
Copy code to clipboard
OUT
/bin/bash: line 1: docker-compose: command not found
Bash
Rebuild garmin-api image with docker compose
IN
docker compose build --no-cache garmin-api 2>&1 | tail -15
Copy code to clipboard
OUT
time="2026-05-25T19:27:11+03:00" level=warning msg="/volume2/docker/garmin-connector/docker-compose.yml: `version` is obsolete"
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Head "http://%2Fvar%2Frun%2Fdocker.sock/_ping": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
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Source Control (⌃⇧ Explorer (⇧⌘E)
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Remote Explorer
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2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI....
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72877
|
|
72878
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1
Copy code to clipboard
OUT
Table "public.sleep"
Column | Type | Collation | Nullable | Default
------------------+-------------------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('sleep_id_seq'::regclass)
date | date | | |
start | character varying | | |
end | character varying | | |
duration_minutes | integer | | |
Indexes:
"sleep_pkey" PRIMARY KEY, btree (id)
"ix_sleep_date" btree (date)
"ix_sleep_id" btree (id)
Table "public.steps"
Column | Type | Collation | Nullable | Default
--------+---------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('steps_id_seq'::regclass)
date | date | | |
steps | integer | | |
Indexes:
"steps_pkey" PRIMARY KEY, btree (id)
"ix_steps_date" btree (date)
"ix_steps_id" btree (id)
Table "public.heartrate"
Column | Type | Collation | Nullable | Default
--------+------------------------+-----------+----------+---------------------------------------
id | integer | | not null | nextval('heartrate_id_seq'::regclass)
date | date | | |
time | time without time zone | | |
bpm | integer | | |
Indexes:
"heartrate_pkey" PRIMARY KEY, btree (id)
"ix_heartrate_date" btree (date)
"ix_heartrate_id" btree (id)
Bash
Check row counts and date ranges in all tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT COUNT(*), MIN(date), MAX(date) FROM sleep;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM steps;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM heartrate;" 2>&1
Copy code to clipboard
OUT
count | min | max
-------+------------+------------
171 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
199 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
59007 | 2025-09-24 | 2026-05-25
(1 row)
Bash
Sample data from all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT * FROM sleep ORDER BY date DESC LIMIT 5;" -c "SELECT * FROM steps ORDER BY date DESC LIMIT 5;" -c "SELECT date, MIN(bpm), MAX(bpm), AVG(bpm)::int FROM heartrate GROUP BY date ORDER BY date DESC LIMIT 5;" 2>&1
Copy code to clipboard
OUT
id | date | start | end | duration_minutes
-----+------------+---------------+---------------+------------------
171 | 2026-05-25 | 1779657840000 | 1779678660000 | 321
170 | 2026-05-24 | 1779568200000 | 1779600540000 | 501
169 | 2026-05-23 | 1779486420000 | 1779506940000 | 315
168 | 2026-05-22 | 1779400140000 | 1779420660000 | 313
167 | 2026-05-21 | 1779308880000 | 1779332760000 | 372
(5 rows)
id | date | steps
-----+------------+-------
199 | 2026-05-25 | 134
198 | 2026-05-24 | 3025
197 | 2026-05-23 | 2597
196 | 2026-05-22 | 2221
195 | 2026-05-21 | 3333
(5 rows)
date | min | max | avg
------------+-----+-----+-----
2026-05-25 | 54 | 102 | 67
2026-05-24 | 48 | 115 | 69
2026-05-23 | 52 | 112 | 73
2026-05-22 | 53 | 119 | 74
2026-05-21 | 47 | 119 | 71
(5 rows)
Thinking
Thinking
Read
Dockerfile
Dockerfile
Thinking
Thinking
Good data — 171 sleep records, 199 days of steps, 59k HR readings, all from Sep 2025 to today. Now I'll add the query endpoints and build the dashboard UI.
Read
main.py
main.py
(lines 2-16)
Edit
main.py
main.py
Added 2 lines
Now add the data query endpoints and UI route at the end of
main.py
:
Read
main.py
main.py
(lines 246-255)
Read
main.py
main.py
(lines 254-258)
Edit
main.py
main.py
Added 99 lines...
|
Code
|
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EXPLORER
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Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
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0
Notifications
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Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:...
|
Code
|
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Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py...
|
Code
|
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|
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed....
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72881
|
|
72882
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1
Copy code to clipboard
OUT
Table "public.sleep"
Column | Type | Collation | Nullable | Default
------------------+-------------------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('sleep_id_seq'::regclass)
date | date | | |
start | character varying | | |
end | character varying | | |
duration_minutes | integer | | |
Indexes:
"sleep_pkey" PRIMARY KEY, btree (id)
"ix_sleep_date" btree (date)
"ix_sleep_id" btree (id)
Table "public.steps"
Column | Type | Collation | Nullable | Default
--------+---------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('steps_id_seq'::regclass)
date | date | | |
steps | integer | | |
Indexes:
"steps_pkey" PRIMARY KEY, btree (id)
"ix_steps_date" btree (date)
"ix_steps_id" btree (id)
Table "public.heartrate"
Column | Type | Collation | Nullable | Default
--------+------------------------+-----------+----------+---------------------------------------
id | integer | | not null | nextval('heartrate_id_seq'::regclass)
date | date | | |
time | time without time zone | | |
bpm | integer | | |
Indexes:
"heartrate_pkey" PRIMARY KEY, btree (id)
"ix_heartrate_date" btree (date)
"ix_heartrate_id" btree (id)
Bash
Check row counts and date ranges in all tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT COUNT(*), MIN(date), MAX(date) FROM sleep;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM steps;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM heartrate;" 2>&1
Copy code to clipboard
OUT
count | min | max
-------+------------+------------
171 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
199 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
59007 | 2025-09-24 | 2026-05-25
(1 row)
Bash
Sample data from all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT * FROM sleep ORDER BY date DESC LIMIT 5;" -c "SELECT * FROM steps ORDER BY date DESC LIMIT 5;" -c "SELECT date, MIN(bpm), MAX(bpm), AVG(bpm)::int FROM heartrate GROUP BY date ORDER BY date DESC LIMIT 5;" 2>&1
Copy code to clipboard
OUT
id | date | start | end | duration_minutes
-----+------------+---------------+---------------+------------------
171 | 2026-05-25 | 1779657840000 | 1779678660000 | 321
170 | 2026-05-24 | 1779568200000 | 1779600540000 | 501
169 | 2026-05-23 | 1779486420000 | 1779506940000 | 315
168 | 2026-05-22 | 1779400140000 | 1779420660000 | 313
167 | 2026-05-21 | 1779308880000 | 1779332760000 | 372
(5 rows)
id | date | steps
-----+------------+-------
199 | 2026-05-25 | 134
198 | 2026-05-24 | 3025
197 | 2026-05-23 | 2597
196 | 2026-05-22 | 2221
195 | 2026-05-21 | 3333
(5 rows)
date | min | max | avg
------------+-----+-----+-----
2026-05-25 | 54 | 102 | 67
2026-05-24 | 48 | 115 | 69
2026-05-23 | 52 | 112 | 73
2026-05-22 | 53 | 119 | 74
2026-05-21 | 47 | 119 | 71
(5 rows)
Thinking
Thinking
Read
Dockerfile
Dockerfile
Thinking...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72882
|
|
72883
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration [URL_WITH_CREDENTIALS]
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
body { font-family: system-ui, -apple-system, sans-serif; background: #0f172a; color: #e2e8f0; min-height: 100vh; }
header { background: #1e293b; border-bottom: 1px solid #334155; padding: 1rem 1.5rem; display: flex; align-items: center; gap: 1rem; flex-wrap: wrap; }
header h1 { font-size: 1.2rem; font-weight: 700; color: #38bdf8; flex: 1; }
.controls { display: flex; align-items: center; gap: .75rem; flex-wrap: wrap; }
.controls label { font-size: .8rem; color: #94a3b8; }
.controls input[type=date] { background: #0f172a; border: 1px solid #475569; color: #e2e8f0; padding: .35rem .6rem; border-radius: 6px; font-size: .85rem; }
.controls input[type=date]::-webkit-calendar-picker-indicator { filter: invert(1); }
button { background: #0ea5e9; color: #fff; border: none; padding: .4rem 1rem; border-radius: 6px; font-size: .85rem; cursor: pointer; font-weight: 600; }
button:hover { background: #38bdf8; }
main { padding: 1.5rem; max-width: 1400px; margin: 0 auto; }
.stats { display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 1rem; margin-bottom: 1.5rem; }
.stat { background: #1e293b; border: 1px solid #334155; border-radius: 10px; padding: 1rem 1.2rem; }
.stat-label { font-size: .75rem; color: #64748b; text-transform: uppercase; letter-spacing: .05em; margin-bottom: .3rem; }
.stat-value { font-size: 1.7rem; font-weight: 700; }
.stat-value.blue { color: #38bdf8; }
.stat-value.green { color: #4ade80; }
.stat-value.red { color: #f87171; }
.stat-value.purple { color: #c084fc; }
.section { background: #1e293b; border: 1px solid #334155; border-radius: 10px; margin-bottom: 1.5rem; overflow: hidden; }
.section-header { padding: .9rem 1.2rem; background: #162032; border-bottom: 1px solid #334155; font-size: .9rem; font-weight: 600; color: #94a3b8; display: flex; align-items: center; gap: .5rem; }
.chart-wrap { padding: 1rem 1.2rem; height: 260px; }
.table-wrap { overflow-x: auto; }
table { width: 100%; border-collapse: collapse; font-size: .82rem; }
th { background: #0f172a; color: #64748b; font-weight: 600; text-transform: uppercase; letter-spacing: .04em; font-size: .72rem; padding: .55rem 1rem; text-align: left; border-bottom: 1px solid #334155; }
td { padding: .5rem 1rem; border-bottom: 1px solid #1e293b; color: #cbd5e1; }
tr:last-child td { border-bottom: none; }
tr:hover td { background: #162032; }
.badge { display: inline-block; padding: .15rem .5rem; border-radius: 99px; font-size: .72rem; font-weight: 600; }
.badge-green { background: #14532d; color: #4ade80; }
.badge-yellow { background: #713f12; color: #fde047; }
.badge-red { background: #7f1d1d; color: #f87171; }
.loading { text-align: center; padding: 2rem; color: #475569; }
.db-schema { background: #1e293b; border: 1px solid #334155; border-radius: 10px; margin-bottom: 1.5rem; }
.schema-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 1px; background: #334155; }
.schema-table { background: #1e293b; padding: 1rem 1.2rem; }
.schema-table h3 { font-size: .82rem; font-weight: 700; color: #38bdf8; margin-bottom: .6rem; font-family: monospace; }
.schema-row { display: flex; gap: .5rem; font-family: monospace; font-size: .75rem; padding: .2rem 0; border-bottom: 1px solid #1a2942; }
.schema-row:last-child { border-bottom: none; }
.col-name { color: #e2e8f0; min-width: 140px; }
.col-type { color: #94a3b8; }
.col-pk { color: #fbbf24; font-size: .65rem; border: 1px solid #fbbf24; padding: .05rem .25rem; border-radius: 3px; align-self: center; }
</style>
</head>
<body>
<header>
<h1>🏃 Garmin Dashboard</h1>
<div class="controls">
<label>From</label>
<input type="date" id="from_date">
<label>To</label>
<input type="date" id="to_date">
<button onclick="loadAll()">Refresh</button>
</div>
</header>
<main>
<!-- Summary stats -->
<div class="stats">
<div class="stat"><div class="stat-label">Avg Sleep</div><div class="stat-value blue" id="avg-sleep">—</div></div>
<div class="stat"><div class="stat-label">Best Sleep</div><div class="stat-value purple" id="best-sleep">—</div></div>
<div class="stat"><div class="stat-label">Avg Steps</div><div class="stat-value green" id="avg-steps">—</div></div>
<div class="stat"><div class="stat-label">Best Steps Day</div><div class="stat-value green" id="best-steps">—</div></div>
<div class="stat"><div class="stat-label">Avg Resting HR</div><div class="stat-value red" id="avg-hr">—</div></div>
<div class="stat"><div class="stat-label">HR Range</div><div class="stat-value red" id="hr-range">—</div></div>
</div>
<!-- Sleep -->
<div class="section">
<div class="section-header">😴 Sleep Duration</div>
<div class="chart-wrap"><canvas id="sleepChart"></canvas></div>
<div class="table-wrap">
<table>
<thead><tr><th>Date</th><th>Duration</th><th>Bedtime</th><th>Wake</th><th>Quality</th></tr></thead>
<tbody id="sleep-tbody"><tr><td colspan="5" class="loading">Loading…</td></tr></tbody>
</table>
</div>
</div>
<!-- Steps -->
<div class="section">
<div class="section-header">👟 Daily Steps</div>
<div class="chart-wrap"><canvas id="stepsChart"></canvas></div>
<div class="table-wrap">
<table>
<thead><tr><th>Date</th><th>Steps</th><th>vs Goal (8 000)</th></tr></thead>
<tbody id="steps-tbody"><tr><td colspan="3" class="loading">Loading…</td></tr></tbody>
</table>
</div>
</div>
<!-- Heart Rate -->
<div class="section">
<div class="section-header">❤️ Heart Rate (daily min / avg / max)</div>
<div class="chart-wrap"><canvas id="hrChart"></canvas></div>
<div class="table-wrap">
<table>
<thead><tr><th>Date</th><th>Min</th><th>Avg</th><th>Max</th></tr></thead>
<tbody id="hr-tbody"><tr><td colspan="4" class="loading">Loading…</td></tr></tbody>
</table>
</div>
</div>
<!-- DB Schema -->
<div class="db-schema">
<div class="section-header" style="padding:.9rem 1.2rem;background:#162032;border-bottom:1px solid #334155;font-size:.9rem;font-weight:600;color:#94a3b8;">🗄️ Database Schema (PostgreSQL)</div>
<div class="schema-grid">
<div class="schema-table">
<h3>sleep</h3>
<div class="schema-row"><span class="col-name">id</span><span class="col-type">integer</span><span class="col-pk">PK</span></div>
<div class="schema-row"><span class="col-name">date</span><span class="col-type">date</span></div>
<div class="schema-row"><span class="col-name">start</span><span class="col-type">varchar — epoch ms</span></div>
<div class="schema-row"><span class="col-name">end</span><span class="col-type">varchar — epoch ms</span></div>
<div class="schema-row"><span class="col-name">duration_minutes</span><span class="col-type">integer</span></div>
</div>
<div class="schema-table">
<h3>steps</h3>
<div class="schema-row"><span class="col-name">id</span><span class="col-type">integer</span><span class="col-pk">PK</span></div>
<div class="schema-row"><span class="col-name">date</span><span class="col-type">date</span></div>
<div class="schema-row"><span class="col-name">steps</span><span class="col-type">integer</span></div>
</div>
<div class="schema-table">
<h3>heartrate</h3>
<div class="schema-row"><span class="col-name">id</span><span class="col-type">integer</span><span class="col-pk">PK</span></div>
<div class="schema-row"><span class="col-name">date</span><span class="col-type">date</span></div>
<div class="schema-row"><span class="col-name">time</span><span class="col-type">time</span></div>
<div class="schema-row"><span class="col-name">bpm</span><span class="col-type">integer</span></div>
</div>
</div>
</div>
</main>
<script>
let sleepChart, stepsChart, hrChart;
const CHART_DEFAULTS = {
responsive: true,
maintainAspectRatio: false,
plugins: { legend: { labels: { color: '#94a3b8', font: { size: 11 } } } },
scales: {
x: { ticks: { color: '#64748b', maxTicksLimit: 14, font: { size: 10 } }, grid: { color: '#1e293b' } },
y: { ticks: { color: '#64748b', font: { size: 10 } }, grid: { color: '#334155' } }
}
};
function initDates() {
const to = new Date();
const from = new Date();
from.setDate(from.getDate() - 30);
document.getElementById('to_date').value = to.toISOString().slice(0, 10);
document.getElementById('from_date').value = from.toISOString().slice(0, 10);
}
function params() {
const f = document.getElementById('from_date').value;
const t = document.getElementById('to_date').value;
return `from_date=${f}&to_date=${t}`;
}
function fmtHrs(mins) {
if (mins == null) return '—';
const h = Math.floor(mins / 60), m = mins % 60;
return `${h}h ${m}m`;
}
function sleepBadge(mins) {
if (mins >= 420) return '<span class="badge badge-green">Good</span>';
if (mins >= 360) return '<span class="badge badge-yellow">Fair</span>';
return '<span class="badge badge-red">Short</span>';
}
function stepsBadge(steps) {
if (steps >= 8000) return '<span class="badge badge-green">✓ Goal</span>';
if (steps >= 5000) return '<span class="badge badge-yellow">Close</span>';
return '<span class="badge badge-red">Low</span>';
}
async function loadSleep() {
const res = await fetch(`/data/sleep?${params()}`);
const data = await res.json();
// Stats
const valid = data.filter(d => d.duration_minutes);
if (valid.length) {
const avg = Math.round(valid.reduce((s, d) => s + d.duration_minutes, 0) / valid.length);
const best = Math.max(...valid.map(d => d.duration_minutes));
document.getElementById('avg-sleep').textContent = fmtHrs(avg);
document.getElementById('best-sleep').textContent = fmtHrs(best);
}
// Chart
if (sleepChart) sleepChart.destroy();
const ctx = document.getElementById('sleepChart').getContext('2d');
sleepChart = new Chart(ctx, {
type: 'bar',
data: {
labels: data.map(d => d.date.slice(5)),
datasets: [{
label: 'Sleep (hours)',
data: data.map(d => d.duration_hours),
backgroundColor: data.map(d => (d.duration_minutes || 0) >= 420 ? '#1d4ed8aa' : (d.duration_minutes || 0) >= 360 ? '#b45309aa' : '#991b1baa'),
borderRadius: 3,
}]
},
options: {
...CHART_DEFAULTS,
plugins: { ...CHART_DEFAULTS.plugins, annotation: {} },
scales: { ...CHART_DEFAULTS.scales, y: { ...CHART_DEFAULTS.scales.y, min: 0, max: 10 } }
}
});
// Table
const tbody = document.getElementById('sleep-tbody');
if (!data.length) { tbody.innerHTML = '<tr><td colspan="5" class="loading">No data</td></tr>'; return; }
tbody.innerHTML = [...data].reverse().map(d => `
<tr>
<td>${d.date}</td>
<td><strong>${fmtHrs(d.duration_minutes)}</strong></td>
<td>${d.start || '—'}</td>
<td>${d.end || '—'}</td>
<td>${sleepBadge(d.duration_minutes)}</td>
</tr>`).join('');
}
async function loadSteps() {
const res = await fetch(`/data/steps?${params()}`);
const data = await res.json();
// Stats
if (data.length) {
const avg = Math.round(data.reduce((s, d) => s + d.steps, 0) / data.length);
const best = Math.max(...data.map(d => d.steps));
document.getElementById('avg-steps').textContent = avg.toLocaleString();
document.getElementById('best-steps').textContent = best.toLocaleString();
}
// Chart
if (stepsChart) stepsChart.destroy();
const ctx = document.getElementById('stepsChart').getContext('2d');
stepsChart = new Chart(ctx, {
type: 'bar',
data: {
labels: data.map(d => d.date.slice(5)),
datasets: [{
label: 'Steps',
data: data.map(d => d.steps),
backgroundColor: data.map(d => d.steps >= 8000 ? '#15803daa' : d.steps >= 5000 ? '#b45309aa' : '#64748baa'),
borderRadius: 3,
}, {
label: 'Goal (8 000)',
data: data.map(() => 8000),
type: 'line',
borderColor: '#475569',
borderDash: [4, 4],
pointRadius: 0,
borderWidth: 1,
}]
},
options: { ...CHART_DEFAULTS }
});
// Table
const tbody = document.getElementById('steps-tbody');
if (!data.length) { tbody.innerHTML = '<tr><td colspan="3" class="loading">No data</td></tr>'; return; }
tbody.innerHTML = [...data].reverse().map(d => `
<tr>
<td>${d.date}</td>
<td><strong>${d.steps.toLocaleString()}</strong></td>
<td>${stepsBadge(d.steps)}</td>
</tr>`).join('');
}
async function loadHR() {
const res = await fetch(`/data/heartrate?${params()}`);
const data = await res.json();
// Stats
if (data.length) {
const avg = Math.round(data.reduce((s, d) => s + d.avg, 0) / data.length);
const minAll = Math.min(...data.map(d => d.min));
const maxAll = Math.max(...data.map(d => d.max));
document.getElementById('avg-hr').textContent = `${avg} bpm`;
document.getElementById('hr-range').textContent = `${minAll}–${maxAll}`;
}
// Chart
if (hrChart) hrChart.destroy();
const ctx = document.getElementById('hrChart').getContext('2d');
hrChart = new Chart(ctx, {
type: 'line',
data: {
labels: data.map(d => d.date.slice(5)),
datasets: [
{
label: 'Max HR',
data: data.map(d => d.max),
borderColor: '#f8717155',
backgroundColor: '#f8717122',
fill: '+1',
pointRadius: 0,
borderWidth: 1,
tension: 0.3,
},
{
label: 'Avg HR',
data: data.map(d => d.avg),
borderColor: '#f87171',
backgroundColor: 'transparent',
pointRadius: 2,
borderWidth: 2,
tension: 0.3,
},
{
label: 'Min HR',
data: data.map(d => d.min),
borderColor: '#f8717155',
backgroundColor: '#f8717100',
fill: false,
pointRadius: 0,
borderWidth: 1,
tension: 0.3,
},
]
},
options: { ...CHART_DEFAULTS }
});
// Table
const tbody = document.getElementById('hr-tbody');
if (!data.length) { tbody.innerHTML = '<tr><td colspan="4" class="loading">No data</td></tr>'; return; }
tbody.innerHTML = [...data].reverse().map(d => `
<tr>
<td>${d.date}</td>
<td>${d.min}</td>
<td><strong>${d.avg}</strong></td>
<td>${d.max}</td>
</tr>`).join('');
}
async function loadAll() {
await Promise.all([loadSleep(), loadSteps(), loadHR()]);
}
initDates();
loadAll();
</script>
</body>
</html>
Now rebuild and restart the container:
Bash
Rebuild garmin-api image
IN
docker-compose build --no-cache garmin-api 2>&1 | tail -15
Copy code to clipboard...
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Containers
EXPLORER
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Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
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0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
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OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
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OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
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OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
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OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
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OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
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OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end...
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Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
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|
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Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
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Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
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2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72886
|
|
72887
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72887
|
|
72888
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72888
|
|
72889
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)...
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EXPLORER
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Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1
Copy code to clipboard
OUT
Table "public.sleep"
Column | Type | Collation | Nullable | Default
------------------+-------------------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('sleep_id_seq'::regclass)
date | date | | |
start | character varying | | |
end | character varying | | |
duration_minutes | integer | | |
Indexes:
"sleep_pkey" PRIMARY KEY, btree (id)
"ix_sleep_date" btree (date)
"ix_sleep_id" btree (id)
Table "public.steps"
Column | Type | Collation | Nullable | Default
--------+---------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('steps_id_seq'::regclass)
date | date | | |
steps | integer | | |
Indexes:
"steps_pkey" PRIMARY KEY, btree (id)
"ix_steps_date" btree (date)
"ix_steps_id" btree (id)
Table "public.heartrate"
Column | Type | Collation | Nullable | Default
--------+------------------------+-----------+----------+---------------------------------------
id | integer | | not null | nextval('heartrate_id_seq'::regclass)
date | date | | |
time | time without time zone | | |
bpm | integer | | |
Indexes:
"heartrate_pkey" PRIMARY KEY, btree (id)
"ix_heartrate_date" btree (date)
"ix_heartrate_id" btree (id)
Bash
Check row counts and date ranges in all tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT COUNT(*), MIN(date), MAX(date) FROM sleep;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM steps;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM heartrate;" 2>&1
Copy code to clipboard
OUT
count | min | max
-------+------------+------------
171 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
199 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
59007 | 2025-09-24 | 2026-05-25
(1 row)
Bash
Sample data from all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT * FROM sleep ORDER BY date DESC LIMIT 5;" -c "SELECT * FROM steps ORDER BY date DESC LIMIT 5;" -c "SELECT date, MIN(bpm), MAX(bpm), AVG(bpm)::int FROM heartrate GROUP BY date ORDER BY date DESC LIMIT 5;" 2>&1
Copy code to clipboard
OUT
id | date | start | end | duration_minutes
-----+------------+---------------+---------------+------------------
171 | 2026-05-25 | 1779657840000 | 1779678660000 | 321
170 | 2026-05-24 | 1779568200000 | 1779600540000 | 501
169 | 2026-05-23 | 1779486420000 | 1779506940000 | 315
168 | 2026-05-22 | 1779400140000 | 1779420660000 | 313
167 | 2026-05-21 | 1779308880000 | 1779332760000 | 372
(5 rows)
id | date | steps
-----+------------+-------
199 | 2026-05-25 | 134
198 | 2026-05-24 | 3025
197 | 2026-05-23 | 2597
196 | 2026-05-22 | 2221
195 | 2026-05-21 | 3333
(5 rows)
date | min | max | avg
------------+-----+-----+-----
2026-05-25 | 54 | 102 | 67
2026-05-24 | 48 | 115 | 69
2026-05-23 | 52 | 112 | 73
2026-05-22 | 53 | 119 | 74
2026-05-21 | 47 | 119 | 71
(5 rows)
Thinking
Thinking
Read
Dockerfile
Dockerfile
Thinking
Thinking
Good data — 171 sleep records, 199 days of steps, 59k HR readings, all from Sep 2025 to today. Now I'll add the query endpoints and build the dashboard UI.
Read
main.py
main.py...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
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|
72890
|
|
72891
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
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Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
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PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
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0
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0
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Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
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EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs...
|
Code
|
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Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
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OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
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Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard
OUT
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+--------
public | heartrate | table | garmin
public | sleep | table | garmin
public | steps | table | garmin
(3 rows)
Bash
Show full schema for all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\d sleep" -c "\d steps" -c "\d heartrate" 2>&1
Copy code to clipboard
OUT
Table "public.sleep"
Column | Type | Collation | Nullable | Default
------------------+-------------------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('sleep_id_seq'::regclass)
date | date | | |
start | character varying | | |
end | character varying | | |
duration_minutes | integer | | |
Indexes:
"sleep_pkey" PRIMARY KEY, btree (id)
"ix_sleep_date" btree (date)
"ix_sleep_id" btree (id)
Table "public.steps"
Column | Type | Collation | Nullable | Default
--------+---------+-----------+----------+-----------------------------------
id | integer | | not null | nextval('steps_id_seq'::regclass)
date | date | | |
steps | integer | | |
Indexes:
"steps_pkey" PRIMARY KEY, btree (id)
"ix_steps_date" btree (date)
"ix_steps_id" btree (id)
Table "public.heartrate"
Column | Type | Collation | Nullable | Default
--------+------------------------+-----------+----------+---------------------------------------
id | integer | | not null | nextval('heartrate_id_seq'::regclass)
date | date | | |
time | time without time zone | | |
bpm | integer | | |
Indexes:
"heartrate_pkey" PRIMARY KEY, btree (id)
"ix_heartrate_date" btree (date)
"ix_heartrate_id" btree (id)
Bash
Check row counts and date ranges in all tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT COUNT(*), MIN(date), MAX(date) FROM sleep;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM steps;" -c "SELECT COUNT(*), MIN(date), MAX(date) FROM heartrate;" 2>&1
Copy code to clipboard
OUT
count | min | max
-------+------------+------------
171 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
199 | 2025-09-24 | 2026-05-25
(1 row)
count | min | max
-------+------------+------------
59007 | 2025-09-24 | 2026-05-25
(1 row)
Bash
Sample data from all 3 tables
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "SELECT * FROM sleep ORDER BY date DESC LIMIT 5;" -c "SELECT * FROM steps ORDER BY date DESC LIMIT 5;" -c "SELECT date, MIN(bpm), MAX(bpm), AVG(bpm)::int FROM heartrate GROUP BY date ORDER BY date DESC LIMIT 5;" 2>&1
Copy code to clipboard
OUT
id | date | start | end | duration_minutes
-----+------------+---------------+---------------+------------------
171 | 2026-05-25 | 1779657840000 | 1779678660000 | 321
170 | 2026-05-24 | 1779568200000 | 1779600540000 | 501
169 | 2026-05-23 | 1779486420000 | 1779506940000 | 315
168 | 2026-05-22 | 1779400140000 | 1779420660000 | 313
167 | 2026-05-21 | 1779308880000 | 1779332760000 | 372
(5 rows)
id | date | steps
-----+------------+-------
199 | 2026-05-25 | 134
198 | 2026-05-24 | 3025
197 | 2026-05-23 | 2597
196 | 2026-05-22 | 2221
195 | 2026-05-21 | 3333
(5 rows)
date | min | max | avg
------------+-----+-----+-----
2026-05-25 | 54 | 102 | 67
2026-05-24 | 48 | 115 | 69
2026-05-23 | 52 | 112 | 73
2026-05-22 | 53 | 119 | 74
2026-05-21 | 47 | 119 | 71
(5 rows)
Thinking
Thinking
Read
Dockerfile
Dockerfile
Thinking
Thinking
Good data — 171 sleep records, 199 days of steps, 59k HR readings, all from Sep 2025 to today. Now I'll add the query endpoints and build the dashboard UI.
Read
main.py
main.py
(lines 2-16)
Edit
main.py
main.py
Added 2 lines
Now add the data query endpoints and UI route at the end of
main.py
:
Read...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
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Claude Code
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EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72894
|
|
72895
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72895
|
|
72896
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute...
|
Code
|
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Remote Explorer
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2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
Copy code to clipboard
OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
Copy code to clipboard
OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
Copy code to clipboard
OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps
Column
Type
Notes
id
Integer PK
date
Date
steps
Integer
Sum of all 15-min interval buckets for the day
Column
id
date
steps
Type
Integer PK
Date
Integer
Notes
Sum of all 15-min interval buckets for the day
Column
Type
Notes
heartrate
heartrate
Column
Type
Notes
id
Integer PK
date
Date
time
Time
Time of reading
bpm
Integer
Beats per minute
Column
id
date
time
bpm
Type
Integer PK
Date
Time
Integer
Notes
Time of reading
Beats per minute
Column
Type
Notes
heartrate
is the most granular — one row per measurement, potentially hundreds per day.
What's NOT stored
What's NOT stored
The DB only captures a narrow slice of what Garmin provides. Things fetched but
not stored
:
Sleep stages (deep / REM / light / awake breakdown)
SpO2, HRV, respiration during sleep
Stress levels
Body battery
Activities / workouts
Resting HR (only per-minute readings go in, not the summary)
The
sleep_processing.py
utility in the project already knows how to parse all the sleep detail — it's just never wired to the DB. If you want richer sleep data stored, that's the main gap to fill.
Message actions
how to see iut do I ned to restert
Thinking
Thinking
Bash
Check if garmin-api is responding on port 8007
IN
curl -s -o /dev/null -w "%{http_code}" http://localhost:8007/docs 2>&1
Copy code to clipboard
OUT
200
It's already running. Open this in your browser:
Copy code to clipboard
http://<your-nas-ip>:8007/docs
No restart needed.
Message actions
build soe ui to see and filter the data. Also giv ethe the db structuire
Thinking
Thinking
Let me first check what's actually in the database, then build the UI.
Bash
List tables in garmin_db
IN
[ENV_SECRET] psql -h localhost -p 5436 -U garmin -d garmin_db -c "\dt" 2>&1
Copy code to clipboard...
|
Code
|
Review project and plan … — garmin-connector [SSH: Review project and plan … — garmin-connector [SSH: nas]...
|
NULL
|
72897
|
|
72898
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
Copy code to clipboard
OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
Copy code to clipboard
Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
Copy code to clipboard
cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
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OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
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OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
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OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
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OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
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OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
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OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes...
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Code
|
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
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Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: garmin-connector [SSH: nas]
Explorer Section: garmin-connector [SSH: nas]
GARMIN-CONNECTOR [SSH: NAS]
__pycache__
examples
.env
db.py
demo.py
docker-compose.yml
Dockerfile
main.py
models.py
python-garminconnect-testing.md
README.md
requirements.txt
sleep_processing.py
ui.html
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
.env, preview, Editor Group 1
.env
.env
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
GARMIN_EMAIL=[EMAIL]
[ENV_SECRET]
POSTGRES_USER=garmin
[ENV_SECRET]
POSTGRES_DB=garmin_db
POSTGRES_HOST=db
POSTGRES_PORT=5432
Review project and plan …, Editor Group 2
Review project and plan …
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
Terminal 5, bash Use ⌥F1 for terminal accessibility help
Terminal input
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Copilot status
Info: Downloading VS Code Server...
Command Succeeded
Review project and plan improvements
Session history
New session
Message actions
demo.py
demo.py
review the project and let me knwo how cna I use it. GIve overview of the service and suggestions o nhe improvements
Thinking
Thinking
Let me explore the project structure first.
Bash
List all files in garmin-connector project
IN
find /volume2/docker/garmin-connector -type f | sort
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OUT
/volume2/docker/garmin-connector/db.py
/volume2/docker/garmin-connector/demo.py
/volume2/docker/garmin-connector/docker-compose.yml
/volume2/docker/garmin-connector/Dockerfile
/volume2/docker/garmin-connector/.env
/volume2/docker/garmin-connector/examples/sleep_data_example.json
/volume2/docker/garmin-connector/main.py
/volume2/docker/garmin-connector/models.py
/volume2/docker/garmin-connector/__pycache__/sleep_processing.cpython-311.pyc
/volume2/docker/garmin-connector/python-garminconnect-testing.md
/volume2/docker/garmin-connector/README.md
/volume2/docker/garmin-connector/requirements.txt
/volume2/docker/garmin-connector/sleep_processing.py
Read
README.md
README.md
Read
main.py
main.py
Read
docker-compose.yml
docker-compose.yml
Read
models.py
models.py
Read
db.py
db.py
Read
sleep_processing.py
sleep_processing.py
,
demo.py
demo.py
Thinking
Thinking
Read
requirements.txt
requirements.txt
Read
.env
.env
Thinking
Thinking
Now I have a complete picture of this project. Here's the full overview:
Service Overview
Service Overview
This is a
Garmin Connect data pipeline
— a FastAPI service that:
Authenticates to Garmin Connect using your credentials
Fetches health/fitness data (sleep, steps, heart rate) via the unofficial
garminconnect
Python library
Stores it in a local PostgreSQL database
Runs on Docker (port
8007
)
Architecture
Architecture
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Docker
├── garmin-api (FastAPI, port 8007)
│ ├── Daily scheduler (currently 15:25 UTC)
│ └── REST endpoints
└── garmin-db (PostgreSQL, port 5436)
How to Use
How to Use
Start it:
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cd /volume2/docker/garmin-connector
docker-compose up -d
Available endpoints:
Endpoint
Description
GET /fetch-today
Fetch today's sleep, steps & HR and store in DB
GET /sleep-raw?date_str=2025-05-20
Get raw Garmin sleep payload (not stored)
GET /garmin-methods
List all available Garmin
get_*
methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Call any Garmin getter by name
Endpoint
GET /fetch-today
GET /sleep-raw?date_str=2025-05-20
GET /garmin-methods
GET /garmin-call?method=get_stress_data&date=2025-05-20
Description
Fetch today's sleep, steps & HR and store in DB
Get raw Garmin sleep payload (not stored)
List all available Garmin
get_*
methods
Call any Garmin getter by name
Endpoint
Description
Interactive demo script
(
demo.py
demo.py
) is a separate standalone CLI tool with a full menu-driven interface to explore all ~100+ Garmin API methods. Run it separately (not inside Docker):
Copy code to clipboard
pip install garminconnect readchar requests
python demo.py
Issues & Improvement Suggestions
Issues & Improvement Suggestions
Critical
Critical
1. Credentials exposed in
.env
Your Garmin password is stored in plaintext in
.env
.env
— add
.env
to
.gitignore
immediately if this repo is ever pushed to git.
2. Duplicate data on repeated runs
main.py:58-93
main.py:58-93
—
fetch_and_store()
blindly
db.add()
s every time it runs. Calling
/fetch-today
twice creates duplicate rows for the same date. You need an upsert pattern (
ON CONFLICT DO UPDATE
or check-before-insert).
3. Scheduler time comment is wrong
main.py:101-103
main.py:101-103
— the code schedules at
hour=15, minute=25
but the comment says "03:00". Pick one and fix both.
Missing Functionality
Missing Functionality
4. No read endpoints for stored DB data
There are no
GET /sleep
,
GET /steps
,
GET /heartrate
endpoints. You can write data to the DB but have no API to query it back — you'd have to connect to Postgres directly.
5. No backfill endpoint
There's no way to fetch and store data for a past date range via the API. A
GET /fetch?date=2025-05-01
or
GET /backfill?start=2025-01-01&end=2025-05-25
endpoint would be useful.
6.
sleep_processing.py
is never used
sleep_processing.py
sleep_processing.py
is an impressively detailed utility that builds minute-by-minute sleep timelines with SpO2, HRV, stress, body battery, respiration — but it's never called anywhere. It should either be wired into a
/sleep-processed
endpoint or removed.
Data Model Gaps
Data Model Gaps
7. Sleep model loses detail
models.py:6-13
models.py:6-13
— the
Sleep
table only stores
start
,
end
,
duration_minutes
. It drops sleep stages (deep/REM/light/awake), SpO2, HRV, respiration — all the interesting data.
sleep_processing.py
already parses all of this.
8.
HeartRate
rows volume
Storing per-minute HR readings means ~1440 rows/day. Consider storing only the summary (resting HR, max HR, average) unless you actually need the per-minute data downstream.
Code Quality
Code Quality
9. Session management is fragile
main.py:35-44
main.py:35-44
—
get_client()
re-logs in based on wall-clock time (1 hour TTL), but Garmin's session can expire for other reasons (rate limiting, server-side logout). There's no retry on
401
errors.
10.
demo.py
depends on
readchar
not in
requirements.txt
requirements.txt
requirements.txt
—
demo.py
imports
readchar
which isn't listed, so
pip install -r requirements.txt
won't cover it. Either add it or keep a separate
requirements-dev.txt
.
Summary:
The core pipeline works, but the biggest wins are: (1) add read endpoints for the DB, (2) fix duplicate-insert issue, (3) wire in
sleep_processing.py
for richer data, and (4) add a backfill endpoint for historical data.
Message actions
.env
.env
is there some UI. what is the database and what data are stored?
Thinking
Thinking
Bash
Check if garmin containers are running
IN
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
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OUT
(Bash completed with no output)
Bash
Check all garmin containers including stopped ones
IN
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | grep -E "garmin|NAMES"
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OUT
(Bash completed with no output)
Bash
List all Docker containers
IN
docker ps -a 2>/dev/null | head -20
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OUT
(Bash completed with no output)
Bash
Check Docker availability
IN
docker info 2>&1 | head -5
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OUT
Client: Docker Engine - Community
Version: 26.1.0
Context: default
Debug Mode: false
Plugins:
Bash
List all containers with names and status
IN
docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null
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OUT
Exit code 1
Bash
List Docker contexts
IN
docker context ls 2>&1
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OUT
NAME DESCRIPTION DOCKER ENDPOINT ERROR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock
Bash
List all containers with sudo
IN
sudo docker ps -a --format "{{.Names}}\t{{.Status}}\t{{.Ports}}" 2>/dev/null | head -30
Copy code to clipboard
OUT
(Bash completed with no output)
Bash
Check docker socket and current user groups
IN
ls /var/run/docker.sock 2>&1 && groups 2>&1
Copy code to clipboard
OUT
/var/run/docker.sock
admin users ughomeusers Media Social
Bash
Try docker ps with explicit socket
IN
DOCKER_HOST=unix:///var/run/docker.sock docker ps -a 2>&1 | head -20
Copy code to clipboard
OUT
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?all=1": dial unix /var/run/docker.sock: connect: permission denied
Thinking
Thinking
Docker isn't accessible from this shell session, so I can't query the live DB. But I can answer fully from the code.
UI
UI
Only FastAPI's built-in Swagger UI
— no custom frontend exists.
Once the service is running, open in browser:
http://<your-nas-ip>:8007/docs
— interactive Swagger UI, lets you call all endpoints
http://<your-nas-ip>:8007/redoc
— alternative docs view
That's the only UI. There's no dashboard, no charts, no frontend.
Database
Database
PostgreSQL
(
garmin-db
, exposed on port
5436
).
Three tables, defined in
models.py
models.py
:
sleep
sleep
Column
Type
Notes
id
Integer PK
date
Date
start
String
GMT timestamp (stored as raw string from Garmin)
end
String
GMT timestamp
duration_minutes
Integer
sleepTimeSeconds / 60
Column
id
date
start
end
duration_minutes
Type
Integer PK
Date
String
String
Integer
Notes
GMT timestamp (stored as raw string from Garmin)
GMT timestamp
sleepTimeSeconds / 60
Column
Type
Notes
steps
steps...
|
Code
|
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