# Flask API 服务 Docker Compose 配置
# ===================================

version: '3.8'

services:
  etf-data-fetcher:
    build:
      context: .
      dockerfile: Dockerfile.flask
    image: 192.168.0.115:5000/etf-data-fetcher:latest
    container_name: etf-data-fetcher
    
    ports:
      - "5000:5000"
    
    environment:
      # Flask 配置
      - FLASK_ENV=production
      - PYTHONUNBUFFERED=1
      
      # SSH 隧道配置（可选，启用后可获取港美股数据）
      - SSH_ENABLED=${SSH_ENABLED:-false}
      - SSH_HOST=${SSH_HOST:-8.218.167.69}
      - SSH_PORT=${SSH_PORT:-22}
      - SSH_USERNAME=${SSH_USERNAME:-root}
      - SSH_KEY_PATH=${SSH_KEY_PATH:-hk_ecs.pem}
      - SSH_LOCAL_PORT=${SSH_LOCAL_PORT:-1080}
    
    volumes:
      # 环境变量配置（必需：TUSHARE_TOKEN）
      - ./.env:/app/.env:ro
      
      # SSH 私钥（可选，获取港美股数据需要）
      - ./hk_ecs.pem:/app/hk_ecs.pem:ro
      
      # 数据目录（可选，用于持久化缓存）
      - ./data:/app/data
      
      # 日志目录
      - ./logs:/app/logs
    
    # 健康检查
    healthcheck:
      test: ["CMD", "python", "-c", "import requests; requests.get('http://localhost:5000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    
    # 重启策略
    restart: unless-stopped
    
    # 资源限制
    deploy:
      resources:
        limits:
          cpus: '2.0'
          memory: 2G
        reservations:
          cpus: '0.5'
          memory: 512M

  # 可选：Nginx 反向代理
  nginx:
    image: nginx:alpine
    container_name: etf-data-fetcher-nginx
    ports:
      - "80:80"
    volumes:
      - ./nginx.conf:/etc/nginx/nginx.conf:ro
    depends_on:
      - etf-data-fetcher
    restart: unless-stopped
    profiles:
      - with-nginx

networks:
  default:
    name: etf-network