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Training Personal Data

Turn your wearable data into actionable health insights.

This project syncs Oura Ring and Wahoo data into PostgreSQL and generates Weekly Health Insights using SQL + GPT. It stores normalized metrics and structured AI analysis so you can query trends, build dashboards, and automate feedback loops.

What it does

  • Sync Oura Ring (activity, sleep, readiness, heart rate, workouts, tags)
  • Sync Wahoo workouts
  • Normalize and store daily metrics (+ raw JSON)
  • Compute Monday→Sunday weekly insights
  • Generate, parse, and persist AI analysis (text + JSONB)
  • Automate weekly insights via GitHub Actions

Quick start

  1. Set environment variables in a .env file (DB + Oura + OpenAI)
  2. Sync data for a date range:
bb run:oura "2024-01-01" "2024-12-31"
  1. Generate weekly insights (pass any date within the week):
bb -m training-personal-data.insights.week 2024-12-30
  1. Sync Wahoo workouts (requires Wahoo OAuth client + tokens):
bb run:wahoo "2024-09-01" "2024-09-30"
  1. Run tests:
bb test

Learn more

See the full project guide with architecture, workflows, schemas, troubleshooting, and conventions: