# =============================================================================
#  追光AI Docker Compose 测试覆盖 (并行部署, 端口 8302)
#  - 与生产 PM2 部署 (8301) 并行运行，验证容器化版本
#  - 通过环境变量覆盖 PORT 到 8302，不影响 8301 上的 PM2 服务
#  - 使用: docker-compose -f docker-compose.yml -f docker-compose.test.yml up -d
# =============================================================================
services:

  zhuiguang-ai-app:
    environment:
      TZ: Asia/Shanghai
      NODE_ENV: production
      PORT: "8302"
      HOSTNAME: "0.0.0.0"
    # 测试卷：避免与生产卷混淆
    volumes:
      - ./env/.env.production:/app/.env:ro
      - test-bot-data:/app/data
      - test-bot-public:/app/public
      - test-bot-logs:/app/logs
      - test-bot-prisma:/app/node_modules/.prisma
    # 改 container_name 避免与未来生产部署冲突
    container_name: zhuiguang-ai-app-test
    # 关掉 healthcheck（不依赖 8301 端口被占用）
    healthcheck:
      test: ["CMD", "curl", "-fs", "http://localhost:8302/api/health"]
      interval: 30s
      timeout: 5s
      retries: 3
      start_period: 30s

  zhuiguang-ai-cron:
    environment:
      TZ: Asia/Shanghai
      NODE_ENV: production
      # cron 容器不需要 PORT，但保持可读
      PORT: "8302"
    volumes:
      - ./env/.env.production:/app/.env:ro
      - test-bot-data:/app/data
      - test-bot-public:/app/public
      - test-bot-logs:/app/logs
      - test-bot-prisma:/app/node_modules/.prisma
      - ./crontab.txt:/app/crontab.txt:ro
    container_name: zhuiguang-ai-cron-test
    depends_on:
      - zhuiguang-ai-app

# 测试卷（独立命名，不与生产卷冲突）
volumes:
  test-bot-data:
    name: zhuiguang_ai_test_bot_data
  test-bot-public:
    name: zhuiguang_ai_test_bot_public
  test-bot-logs:
    name: zhuiguang_ai_test_bot_logs
  test-bot-prisma:
    name: zhuiguang_ai_test_bot_prisma