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

.env.example

@@ -1,19 +1,23 @@
-# === REQUIRED (generated automatically by setup.sh) ===
-SECRET_KEY=
+# 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=
 
-# === APP URL (change for production) ===
-BASE_URL=http://localhost
+# Database — leave empty for SQLite (pip install path)
+# Set for PostgreSQL (Docker path): postgresql+asyncpg://fitness@fitness-db:5432/fitness_rewards
+DATABASE_URL=
 
-# === DATABASE (defaults work out of the box) ===
-DB_USER=fitness
-DB_NAME=fitness_rewards
+# App
+BASE_URL=http://localhost:8000
 
-# === MCP AGENT AUTH (generated automatically by setup.sh) ===
-# The API_TOKEN authenticates the MCP connector with the backend.
-# It is auto-configured — you don't need to touch it unless you're
-# connecting an agent from outside Docker.
-
-# Everything else — Strava, Polar, Garmin, Fitbit, Telegram,
-# USDA, Groq, etc. — is configured through the app UI or your AI agent.
-# No container restart needed.
+# 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