HealthSync

Sync Samsung Health export data into Google Fit — push step counts, distance, calories, weight, body fat, hydration, sleep, and heart points; read everything back with a single command.

Setup

1. Copy your OAuth client secret JSON to credentials.json.

   • Use a Google Cloud project with the Fitness API enabled.
   • For an installed app, the redirect URI must include http://localhost.

2. Install dependencies:

   ./setup.sh

3. Add your Google account as a test user (if the OAuth consent screen is still in testing):

   • Go to APIs & Services > OAuth consent screen in the Google Cloud Console.
   • Under Test users, add your Google account and save.

4. Export your Samsung Health data and place the CSV files in Samsung_Health/. Expected structure:

   Samsung_Health/
   └── com.samsung.shealth.<category>/
       ├── tracker.pedometer_day_summary.*.csv
       ├── activity.day_summary.*.csv
       ├── pedometer_step_count.*.csv
       ├── com.samsung.health.weight.*.csv
       ├── com.samsung.health.height.*.csv
       ├── calories_burned.details.*.csv
       ├── water_intake.*.csv
       ├── com.samsung.shealth.sleep.*.csv
       └── com.samsung.health.exercise.*.csv
   

Usage

Activate the virtual environment first:

source .venv/bin/activate

Push data to Google Fit

python push.py

Reads Samsung Health CSVs and uploads the following to Google Fit:

Category	Data type	Source CSV
Activity	Steps, distance, calories (daily totals)	tracker.pedometer_day_summary, activity.day_summary
Activity	Steps, distance, calories (minute-level)	pedometer_step_count
Activity	Heart Points (computed from speed)	pedometer_step_count, com.samsung.health.exercise
Body	Weight, body fat percentage	com.samsung.health.weight
Body	Height	com.samsung.health.height
Nutrition	Hydration (water intake)	water_intake
Nutrition	Total daily calories (resting + active)	calories_burned.details
Sleep	Sleep segments	com.samsung.shealth.sleep

Subsequent runs skip already-uploaded dates via uploaded_dates.json.

Read data back from Google Fit

python read.py                      # last 30 days
python read.py 2025-01-01           # from a start date to today
python read.py 2025-01-01 2025-12-31  # explicit date range

Outputs a daily table with steps, distance, calories, heart points, and sleep, plus latest body metrics (weight, height, body fat).

How it works

• OAuth — First run opens your browser for Google sign-in. Credentials are persisted in token.pickle (push) and token_read.pickle (read) and refreshed silently on expiry.
• CSV parsing — Handles Samsung Health's two-row header format (metadata row + column names) and both epoch-ms and datetime-string timestamps.
• Deduplication — uploaded_dates.json tracks every date successfully pushed per metric, so re-runs only upload new data.
• Data source — Uses writable raw:com.google.* data sources instead of Google's read-only derived sources.
• Heart Points — Computed from walking/running speed during minute-level intervals: ≥4 km/h earns 1 point/min, ≥7 km/h earns 2 points/min per WHO guidelines.

Troubleshooting

Error	Fix
Error 403: access_denied	Add your Google account as a test user on the OAuth consent screen
Cannot read data of type com.google.step_count.delta	The data source may not exist yet — run push.py first to create it
The caller does not have permission	Verify the Fitness API is enabled and your account is a test user
Unable to fetch DataSource	The data source wasn't auto-created — re-run; if it persists, check API enablement