docker-compose-base.yaml

services:
  backend:
    build:
      context: .            # 将上下文设置为当前目录
      dockerfile: ./docker/backend/Dockerfile
    volumes:
      - ./app:/app          # 将当前目录挂载到容器内的/app
      - ./dataset:/dataset  # 将宿主机的data目录挂载到容器内的/app/dataset
      - ./chroma_db:/chroma_db      # 将宿主机的model目录挂载到容器内的/app/model
    working_dir: /app       # 设置工作目录
    # command: ["wait-for-it", "chroma:8000", "--", "python", "server.py"]  # 启动后端服务并等待 Chroma 服务
    ports:
      - "8082:8082"  
    environment:
      - PYTHONUNBUFFERED=1  # 使输出立即显示
      - CHROMA_HOST=chroma
      - CHROMA_PORT=8000
    depends_on:
      - chroma
    networks:
      - smart_bot_network

  frontend:
    build:
      context: ./chatweb
      dockerfile: ../docker/frontend/Dockerfile
    volumes:
      - ./chatweb:/chatweb  # 将当前目录挂载到容器内的/chatweb
    working_dir: /chatweb  # 设置工作目录
    command: >
      bash -c "
      npm install && 
      npm run dev"  # 安装依赖并启动前端服务
    ports:
      - "5173:5173"  # 映射端口
    environment:
      - NODE_ENV=development  # 设置环境变量为开发模式
    networks:
      - smart_bot_network

  chroma:
      build:
        context: .
        dockerfile: ./docker/chroma/Dockerfile
      volumes:
        - ./chroma_db:/chroma_db    # 挂载 Chroma 数据库目录
        - ./app:/app                # 挂载应用目录
      working_dir: /app             # 设置工作目录
      # command: >
      #   bash -c "
      #   pip install langchain_chroma chromadb &&
      #   chroma run --path chroma_db --port 8000 --host 0.0.0.0"  # 启动 Chroma
      ports:
        - "8000:8000"               # 映射 Chroma 服务端口
      networks:
        - smart_bot_network
networks:
  smart_bot_network: