diligence/.env.example
Claude a6e6e2f54f v2.0: dual deployment — pip install (SQLite) + Docker (PostgreSQL)
Architecture:
- Moved backend/app/ to diligence/ Python package
- Dialect-agnostic models (Uuid + JSON, no PostgreSQL imports)
- Auto-detect database: empty DATABASE_URL → SQLite at ~/.diligence/data.db
- Cross-dialect migrations (inspector-based, no raw PostgreSQL DDL)
- FastAPI serves pre-built React frontend for pip path
- CLI entry point: diligence [--port] [--no-browser] [--data-dir]
- pyproject.toml with optional deps: [postgres], [mcp], [dev]
- Docker path unchanged: docker compose up -d

pip install path: pip install . && diligence
Docker path: ./setup.sh && docker compose up -d
2026-07-01 03:30:12 +00:00

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# Diligence Configuration
# Copy this to .env and fill in values, or run ./setup.sh to auto-generate.
# Required — auto-generated by setup.sh
SECRET_KEY=change-me-in-production
API_TOKEN=
# Database — leave empty for SQLite (pip install path)
# Set for PostgreSQL (Docker path): postgresql+asyncpg://fitness@fitness-db:5432/fitness_rewards
DATABASE_URL=
# App
BASE_URL=http://localhost:8000
# Optional integrations
STRAVA_CLIENT_ID=
STRAVA_CLIENT_SECRET=
POLAR_CLIENT_ID=
POLAR_CLIENT_SECRET=
GROQ_API_KEY=
TELEGRAM_BOT_TOKEN=
TELEGRAM_CHAT_ID=
CRAWL_ENABLED=false