# 开发环境配置文件
# 使用方式: docker compose -f docker-compose.yml up --build -d
# 
# 特点:
# - 前端使用 Vite 开发服务器，支持热更新 (HMR)
# - 代码修改后自动刷新浏览器
# - Nginx 代理 WebSocket 连接用于 HMR
# - 挂载本地代码目录到容器

services:
  postgres:
    image: postgres:16-alpine
    container_name: ent-postgres
    restart: always
    entrypoint: >
      sh -c '
        if [ ! -f /usr/local/share/postgresql/extension/vector.control ]; then
          echo ">>> pgvector 未安装，正在编译安装（仅首次约 30 秒）..."
          apk add --no-cache --virtual .pg_build git build-base postgresql16-dev clang llvm-dev > /dev/null 2>&1
          wget -qO- https://github.com/pgvector/pgvector/archive/refs/tags/v0.7.4.tar.gz | tar xz -C /tmp
          cd /tmp/pgvector-0.7.4 && make -j2 > /dev/null 2>&1 && make install > /dev/null 2>&1
          cd / && rm -rf /tmp/pgvector-0.7.4
          apk del .pg_build > /dev/null 2>&1
          echo ">>> pgvector 安装完成"
        fi
        exec docker-entrypoint.sh postgres
      '
    environment:
      POSTGRES_USER: enterprise
      POSTGRES_PASSWORD: enterprise123
      POSTGRES_DB: enterprise_ai
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./init-db:/docker-entrypoint-initdb.d
    ports:
      - "5431:5432"
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U enterprise"]
      interval: 5s
      timeout: 5s
      retries: 5

  redis:
    image: redis:7-alpine
    container_name: ent-redis
    restart: always
    command: redis-server --appendonly yes --requirepass redis123
    volumes:
      - redis_data:/data
    ports:
      - "6378:6379"

  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: ent-backend
    restart: always
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_started
    environment:
      DATABASE_URL: postgresql+asyncpg://enterprise:enterprise123@postgres:5432/enterprise_ai
      REDIS_URL: redis://:redis123@redis:6379/0
      JWT_SECRET: dev-secret-key-change-in-production-32chars
      LLM_API_KEY: ${LLM_API_KEY:-sk-placeholder}
      LLM_API_BASE: ${LLM_API_BASE:-https://api.openai.com/v1}
      LLM_MODEL: ${LLM_MODEL:-gpt-4o-mini}
    ports:
      - "8100:8000"
    volumes:
      - ./backend:/app

  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile.dev
    container_name: ent-frontend
    restart: always
    depends_on:
      - backend
    ports:
      - "3000:80"
    volumes:
      - ./frontend:/app
      - /app/node_modules
    environment:
      - CHOKIDAR_USEPOLLING=true

  nginx:
    image: nginx:alpine
    container_name: ent-nginx
    restart: always
    depends_on:
      - frontend
      - backend
    volumes:
      - ./nginx/nginx.dev.conf:/etc/nginx/nginx.conf:ro
    ports:
      - "80:80"

volumes:
  postgres_data:
  redis_data: