docker-compose.lite.yml

version: "3.9"

# ============================================================
# KnowledgeRAG-GZHU 轻量版 Docker Compose
# 包含：前端 + 后端 + SQLite（无 MySQL、无 Ollama 容器）
# 适合：对接公共 LLM API（DeepSeek / 阿里云百炼 / OpenAI）
# 启动：docker compose -f docker-compose.lite.yml up -d
# ============================================================

services:
  # ── 后端（FastAPI，使用公共 LLM API 而非本地 Ollama）──────
  backend:
    build:
      context: ./RagBackend
      dockerfile: Dockerfile
    container_name: ragf-backend-lite
    restart: unless-stopped
    ports:
      - "8000:8000"
    environment:
      # 数据库：SQLite（无需 MySQL）
      - DB_TYPE=sqlite
      - SQLITE_PATH=/app/data/ragf.db

      # ── 选择一种公共 LLM API ──────────────────────────────
      # 方案A：DeepSeek（推荐，性价比最高）
      - LLM_PROVIDER=deepseek
      - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-your_key_here}
      - DEEPSEEK_MODEL=${DEEPSEEK_MODEL:-deepseek-chat}

      # 方案B：阿里云百炼（qwen-plus/qwen-turbo）
      # - LLM_PROVIDER=dashscope
      # - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY:-your_key_here}
      # - DASHSCOPE_MODEL=${DASHSCOPE_MODEL:-qwen-plus}

      # 方案C：本地 Ollama（宿主机已有 Ollama 服务）
      # - LLM_PROVIDER=ollama
      # - OLLAMA_BASE_URL=http://host.docker.internal:11434
      # - MODEL=${MODEL:-qwen2:0.5b}

      # ── 通用配置 ─────────────────────────────────────────
      - JWT_SECRET=${JWT_SECRET:-ragf_lite_secret_change_me}
      - OLLAMA_TIMEOUT=120
    volumes:
      - ragf_data:/app/data
      - ragf_kb:/app/local-KLB-files
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/docs')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 20s

  # ── 前端（Nginx 反代，生产构建）─────────────────────────────
  frontend:
    build:
      context: ./RagFrontend
      dockerfile: Dockerfile
    container_name: ragf-frontend-lite
    restart: unless-stopped
    ports:
      - "8089:80"
    depends_on:
      backend:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "wget", "-qO-", "http://localhost:80"]
      interval: 30s
      timeout: 5s
      retries: 3


volumes:
  ragf_data:
    driver: local
  ragf_kb:
    driver: local


# ============================================================
# 快速上手指南
# ============================================================
# 1. 复制并填写 API Key：
#    export DEEPSEEK_API_KEY=sk-xxxxx
#    export JWT_SECRET=your_random_secret
#
# 2. 启动：
#    docker compose -f docker-compose.lite.yml up -d
#
# 3. 访问：
#    前端  → http://localhost:8089
#    后端  → http://localhost:8000/docs
#
# 4. 切换 LLM：
#    修改 environment 中的 LLM_PROVIDER 和对应的 API_KEY
# ============================================================