version: '3.8'

services:
  rag-service:
    build:
      context: ..
      dockerfile: deploy/Dockerfile
    container_name: rag-service
    ports:
      - "5001:5001"
    volumes:
      - ../knowledge/vector_store:/app/knowledge/vector_store  # 向量索引（必须）
      - ../.data:/app/.data                    # 上传文件
      - ../documents:/app/documents            # 源文档
      - ../models:/app/models                  # 嵌入模型
      # 生产环境不挂载 data/ 目录（不使用SQLite）
    environment:
      - APP_ENV=prod
      - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY}
      - DASHSCOPE_MODEL=${DASHSCOPE_MODEL:-mimo-v2.5}
      - RERANK_USE_ONNX=${RERANK_USE_ONNX:-false}
    restart: unless-stopped
    # 资源限制：Embedding模型加载需要较多内存
    shm_size: '256m'  # Gunicorn 心跳文件需要
    deploy:
      resources:
        limits:
          memory: 6G
        reservations:
          memory: 2G
    healthcheck:
      test: ["CMD-SHELL", "curl -f http://localhost:5001/health || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s  # 给启动和模型加载留出时间