life-echo/api/docker-compose.yml

services:
  # PostgreSQL 数据库（使用最新版 17）
  postgres:
    image: m.daocloud.io/docker.io/pgvector/pgvector:pg17
    container_name: life-echo-postgres
    ports:
      # 宿主机端口随机，避免与本机其它 PostgreSQL 冲突；查询: docker compose port postgres 5432
      - "127.0.0.1::5432"
    environment:
      POSTGRES_USER: ${POSTGRES_USER:-postgres}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-postgres}
      POSTGRES_DB: ${POSTGRES_DB:-life_echo}
    volumes:
      - postgres_data:/var/lib/postgresql/data
    restart: always
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - life-echo-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

  # Redis 服务（用于会话存储和 Celery 消息队列）
  redis:
    image: m.daocloud.io/docker.io/library/redis:7-alpine
    container_name: life-echo-redis
    # ports:
    #   - "6379:6379"  # 不暴露到宿主机，仅在 Docker 网络内部访问
    volumes:
      - redis_data:/data
    command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
    restart: always
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - life-echo-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

  # FastAPI 应用
  # 运行时统一读取 .env；部署时在远端将 .env.staging 或 .env.production 复制为 .env。
  api:
    build:
      context: .
      dockerfile: Dockerfile
    image: life-echo-api:latest
    container_name: life-echo-api-prod
    # 独立 Caddy 反代；绑定本机回环。未设置 LIFE_ECHO_API_HOST_PORT 时宿主机端口随机，避免与机上其它服务冲突。
    # 需固定端口时（例如 Caddyfile）：在 .env 设置 LIFE_ECHO_API_HOST_PORT=8000；随机时查询: docker compose port api 8000
    ports:
      - "127.0.0.1:${LIFE_ECHO_API_HOST_PORT:-}:8000"
    env_file:
      - .env
    environment:
      - ASR_MODEL_CACHE_DIR=/app/models/whisper
      - ALEMBIC_STARTUP_FAIL_FAST=true
      - APP_ENV=production
    volumes:
      - /root/apiclient_key.pem:/app/certs/apiclient_key.pem:ro
    restart: always
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "python", "-c", "import http.client; conn = http.client.HTTPConnection('localhost', 8000); conn.request('GET', '/health'); r = conn.getresponse(); exit(0 if r.status == 200 else 1)"]
      interval: 15s
      timeout: 5s
      retries: 6
      start_period: 120s
    networks:
      - life-echo-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

  # Celery Worker（后台任务处理，禁用镜像内置的 8000 端口健康检查，改用 celery inspect ping）
  celery-worker:
    build:
      context: .
      dockerfile: Dockerfile
    image: life-echo-api:latest
    container_name: life-echo-celery-worker
    command: uv run celery -A app.tasks.celery_app worker --loglevel=info --concurrency=4 -Q celery,memory_idle
    env_file:
      - .env
    environment:
      - APP_ENV=production
    restart: always
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
      api:
        condition: service_healthy
    healthcheck:
      test: ["CMD-SHELL", "uv run celery -A app.tasks.celery_app inspect ping --timeout 10 2>/dev/null | grep -q pong || exit 1"]
      interval: 30s
      timeout: 15s
      retries: 3
      start_period: 30s
    networks:
      - life-echo-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

  celery-beat:
    build:
      context: .
      dockerfile: Dockerfile
    image: life-echo-api:latest
    container_name: life-echo-celery-beat
    command: uv run celery -A app.tasks.celery_app beat --loglevel=info
    env_file:
      - .env
    environment:
      - APP_ENV=production
    restart: always
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
      celery-worker:
        condition: service_started
    networks:
      - life-echo-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

  # Flower（Celery 监控面板，可选）
  # flower:
  #   build:
  #     context: .
  #     dockerfile: Dockerfile
  #   image: life-echo-api:latest
  #   container_name: life-echo-flower
  #   command: celery -A app.tasks.celery_app flower --port=5555
  #   ports:
  #     - "5555:5555"
  #   env_file:
  #     - .env
  #   environment:
  #     - REDIS_URL=redis://redis:6379/0
  #   restart: always
  #   depends_on:
  #     redis:
  #       condition: service_healthy
  #   networks:
  #     - life-echo-network

networks:
  life-echo-network:
    external: true
    name: api_life-echo-network

volumes:
  postgres_data:
    driver: local
  redis_data:
    driver: local