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:
      - "127.0.0.1:${POSTGRES_HOST_PORT:-5432}:5432"  # 仅绑定 localhost，通过 SSH 隧道访问
    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（业务 key DB/0；Celery broker/backend 由应用自动使用 DB/1）
  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
    environment:
      REDIS_PASSWORD: ${REDIS_PASSWORD:-}
    volumes:
      - redis_data:/data
    command: >
      sh -c 'exec redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
      $${REDIS_PASSWORD:+--requirepass "$$REDIS_PASSWORD"}'
    restart: always
    healthcheck:
      test:
        [
          "CMD-SHELL",
          'if [ -n "$$REDIS_PASSWORD" ]; then redis-cli -a "$$REDIS_PASSWORD" ping | grep -q PONG; else redis-cli ping | grep -q PONG; fi',
        ]
      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
    # 默认仅绑定本机回环，交给宿主机 Caddy/反代；staging 如需 IP:port 直连，可在 .env 设置 LIFE_ECHO_API_HOST_BIND=0.0.0.0。
    # 若与 Cosmetic 等共用主机且 8000 已被占用，在 .env 中设置 LIFE_ECHO_API_HOST_PORT=其它端口并在 Caddyfile / app env 中一致。
    ports:
      - "${LIFE_ECHO_API_HOST_BIND:-127.0.0.1}:${LIFE_ECHO_API_HOST_PORT:-8000}:8000"
    env_file:
      - .env
    environment:
      - APP_ENV=${APP_ENV:-production}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_REDIS_URL=redis://redis:6379/1
      - REDIS_PASSWORD=${REDIS_PASSWORD:-}
    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=${APP_ENV:-production}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_REDIS_URL=redis://redis:6379/1
      - REDIS_PASSWORD=${REDIS_PASSWORD:-}
    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=${APP_ENV:-production}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_REDIS_URL=redis://redis:6379/1
      - REDIS_PASSWORD=${REDIS_PASSWORD:-}
    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:
    build:
      context: .
      dockerfile: Dockerfile
    image: life-echo-api:latest
    container_name: life-echo-flower
    command: >
      sh -c 'uv run celery -A app.tasks.celery_app flower --port=5555
      --basic_auth=$${FLOWER_USER:-admin}:$${FLOWER_PASSWORD:-changeme}'
    ports:
      - "127.0.0.1:${FLOWER_HOST_PORT:-5555}:5555"
    env_file:
      - .env
    environment:
      - APP_ENV=${APP_ENV:-production}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_REDIS_URL=redis://redis:6379/1
      - REDIS_PASSWORD=${REDIS_PASSWORD:-}
      - FLOWER_USER=${FLOWER_USER:-admin}
      - FLOWER_PASSWORD=${FLOWER_PASSWORD:-changeme}
    restart: always
    depends_on:
      redis:
        condition: service_healthy
      celery-worker:
        condition: service_started
    networks:
      - life-echo-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

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

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