docker-compose.yml

# 简历 RAG 智能问答系统
# ============================================
# 使用方式：
#   已有 ES → docker-compose up -d backend frontend
#   全栈    → docker-compose --profile full up -d
#   指定端口 → cp .env.example .env && 修改端口
# ============================================

version: '3.8'

services:
  # ---------- ES（仅 --profile full 时启动）----------
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.12.0
    container_name: rag-es
    profiles:
      - full
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
      - "ES_JAVA_OPTS=-Xms1g -Xmx1g"
    ports:
      - "${ES_PORT:-9200}:9200"
    volumes:
      - es_data:/usr/share/elasticsearch/data
    networks:
      - rag-network
    mem_limit: 2g
    healthcheck:
      test: ["CMD", "curl", "-sf", "http://localhost:9200/_cluster/health"]
      interval: 10s
      timeout: 5s
      retries: 10

  # ---------- 后端 ----------
  backend:
    build:
      context: .
      dockerfile: docker/Dockerfile
    container_name: rag-backend
    ports:
      - "${BACKEND_PORT:-8080}:8080"
    environment:
      - ES_HOST=${ES_HOST:-http://elasticsearch:9200}
      - APP_MODE=${APP_MODE:-release}
      - APP_PORT=8080
      - LOG_LEVEL=${LOG_LEVEL:-info}
    depends_on:
      elasticsearch:
        condition: service_healthy
        required: false
    networks:
      - rag-network
    mem_limit: 2g
    restart: unless-stopped

  # ---------- 前端 ----------
  frontend:
    build:
      context: .
      dockerfile: docker/Dockerfile.frontend
    container_name: rag-frontend
    ports:
      - "${FRONTEND_PORT:-5000}:80"
    depends_on:
      - backend
    networks:
      - rag-network
    mem_limit: 256m
    restart: unless-stopped

volumes:
  es_data:

networks:
  rag-network:
    driver: bridge