services:
  postgres:
    image: postgres:16-alpine
    container_name: praello-ai-postgres
    environment:
      POSTGRES_USER: ${POSTGRES_USER:-enterprise_ai}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-enterprise_ai_secret}
      POSTGRES_DB: ${POSTGRES_DB:-enterprise_ai}
    volumes:
      - postgres_data:/var/lib/postgresql/data
    ports:
      - "5432:5432"
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-enterprise_ai}"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - praello-ai-network

  redis:
    image: redis:7-alpine
    container_name: praello-ai-redis
    command: redis-server --appendonly yes
    volumes:
      - redis_data:/data
    ports:
      - "6379:6379"
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - praello-ai-network

  qdrant:
    image: qdrant/qdrant:v1.12.5
    container_name: praello-ai-qdrant
    volumes:
      - qdrant_data:/qdrant/storage
    ports:
      - "6333:6333"
      - "6334:6334"
    healthcheck:
      test: ["CMD-SHELL", "bash -c 'exec 3<>/dev/tcp/localhost/6333 && echo -e \"GET /readyz HTTP/1.1\\r\\nHost: localhost\\r\\n\\r\\n\" >&3 && head -1 <&3 | grep -q 200'"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - praello-ai-network

  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: praello-ai-backend
    env_file:
      - .env
    environment:
      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-enterprise_ai}:${POSTGRES_PASSWORD:-enterprise_ai_secret}@postgres:5432/${POSTGRES_DB:-enterprise_ai}
      REDIS_URL: redis://redis:6379/0
      QDRANT_HOST: qdrant
      QDRANT_PORT: 6333
    volumes:
      - upload_data:/app/uploads
    ports:
      - "8000:8000"
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
      qdrant:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/api/v1/health/live"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s
    networks:
      - praello-ai-network

  ingestion-worker:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: praello-ai-ingestion-worker
    env_file:
      - .env
    environment:
      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-enterprise_ai}:${POSTGRES_PASSWORD:-enterprise_ai_secret}@postgres:5432/${POSTGRES_DB:-enterprise_ai}
      REDIS_URL: redis://redis:6379/0
      QDRANT_HOST: qdrant
      QDRANT_PORT: 6333
      INGESTION_CONSUMER_NAME: worker-1
    volumes:
      - upload_data:/app/uploads
    command: ["python", "-m", "enterprise_ai.worker"]
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
      qdrant:
        condition: service_healthy
    networks:
      - praello-ai-network

  connector-worker:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: praello-ai-connector-worker
    env_file:
      - .env
    environment:
      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-enterprise_ai}:${POSTGRES_PASSWORD:-enterprise_ai_secret}@postgres:5432/${POSTGRES_DB:-enterprise_ai}
      REDIS_URL: redis://redis:6379/0
      QDRANT_HOST: qdrant
      QDRANT_PORT: 6333
      CONNECTOR_ORGANIZATION_ID: ${CONNECTOR_ORGANIZATION_ID:?set CONNECTOR_ORGANIZATION_ID}
      CONNECTOR_UPLOADED_BY: ${CONNECTOR_UPLOADED_BY:?set CONNECTOR_UPLOADED_BY}
      CONNECTOR_SYNC_INTERVAL_SECONDS: ${CONNECTOR_SYNC_INTERVAL_SECONDS:-900}
    volumes:
      - upload_data:/app/uploads
    command: ["python", "-m", "enterprise_ai.connector_worker"]
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
      qdrant:
        condition: service_healthy
    networks:
      - praello-ai-network

  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
    container_name: praello-ai-frontend
    environment:
      NEXT_PUBLIC_API_URL: http://localhost/api/v1
    ports:
      - "3000:3000"
    depends_on:
      backend:
        condition: service_healthy
    networks:
      - praello-ai-network

  nginx:
    image: nginx:1.27-alpine
    container_name: praello-ai-nginx
    ports:
      - "80:80"
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
    depends_on:
      - backend
      - frontend
    networks:
      - praello-ai-network

volumes:
  postgres_data:
  redis_data:
  qdrant_data:
  upload_data:

networks:
  praello-ai-network:
    driver: bridge