docker-compose.yml

version: '3.8'

services:
  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: api_pulse_backend
    ports:
      - "8080:8080"
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - SECRET_KEY=${SECRET_KEY}
      - ALGORITHM=${ALGORITHM:-HS256}
      - ACCESS_TOKEN_EXPIRE_MINUTES=${ACCESS_TOKEN_EXPIRE_MINUTES:-30}
      - API_PORT=8080
      - CORS_ORIGINS=${CORS_ORIGINS:-http://localhost:5500,http://127.0.0.1:5500}
      - LOG_LEVEL=${LOG_LEVEL:-INFO}
      - LOG_FILE=${LOG_FILE:-}
    env_file:
      - ./backend/.env
    restart: unless-stopped
    volumes:
      # Persist trained ML models across container restarts
      - ./backend/ml/models:/app/ml/models
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8080/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 15s

  # ─────────────────────────────────────────────────────────────────────────
  # LOCAL POSTGRES (uncomment when NOT using Supabase / a remote DB)
  # If you enable this, update DATABASE_URL in backend/.env to:
  #   postgresql+asyncpg://postgres:password@db:5432/apipulse
  # ─────────────────────────────────────────────────────────────────────────
  # db:
  #   image: postgres:15-alpine
  #   container_name: api_pulse_db
  #   environment:
  #     POSTGRES_USER: postgres
  #     POSTGRES_PASSWORD: password
  #     POSTGRES_DB: apipulse
  #   ports:
  #     - "5432:5432"
  #   volumes:
  #     - postgres_data:/var/lib/postgresql/data
  #   healthcheck:
  #     test: ["CMD-SHELL", "pg_isready -U postgres"]
  #     interval: 10s
  #     timeout: 5s
  #     retries: 5
  #
  # If you uncomment `db`, also add this to the `backend` service above:
  #   depends_on:
  #     db:
  #       condition: service_healthy

volumes:
  postgres_data: