version: '3.8'

services:
  rag-service:
    build:
      context: ..
      dockerfile: deploy/Dockerfile
    container_name: rag-service
    env_file:
      - ../.env
    ports:
      - "5001:5001"
    volumes:
      # 数据目录
      - ../.data:/app/.data
      - ../documents:/app/documents
      - ../models:/app/models
      - ../data:/app/data
      # 源码挂载（git pull 后重启即生效，无需重建镜像）
      - ../api:/app/api
      - ../core:/app/core
      - ../knowledge:/app/knowledge
      - ../services:/app/services
      - ../parsers:/app/parsers
      - ../repositories:/app/repositories
      - ../storage:/app/storage
      - ../auth:/app/auth
      - ../config:/app/config
      - ../exam_pkg:/app/exam_pkg
      - ../deploy/wsgi.py:/app/deploy/wsgi.py
      - ../deploy/gunicorn.conf.py:/app/deploy/gunicorn.conf.py
      - ../config.py:/app/config.py
      - ../main.py:/app/main.py
      - ../requirements.txt:/app/requirements.txt
      - ../requirements-prod.txt:/app/requirements-prod.txt
    environment:
      - APP_ENV=prod
    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