# 克隆仓库
git clone https://github.com/langgenius/dify.git
cd dify/docker

# 启动所有服务
docker compose up -d

# docker-compose.yaml 核心服务
services:
  # 前端服务
  frontend:
    image: langgenius/dify-web:latest
    ports:
      - "3000:3000"

  # 后端 API 服务
  api:
    image: langgenius/dify-api:latest
    environment:
      - SECRET_KEY=your-secret-key
      - INIT_PASSWORD=your-init-password
    ports:
      - "5001:5001"

  # Worker 服务（处理异步任务）
  worker:
    image: langgenius/dify-api:latest

  # 向量数据库（Weaviate）
  weaviate:
    image: semitechnologies/weaviate:latest

  # 知识库数据库（PostgreSQL + pgvector）
  db:
    image: postgres:15-alpine

  # Redis 缓存
  redis:
    image: redis:7-alpine

# .env 配置文件示例
SECRET_KEY=your-secret-key-here
INIT_PASSWORD=admin123456

# OpenAI 配置
OPENAI_API_KEY=sk-xxxxx

# 数据库配置
DB_USERNAME=postgres
DB_PASSWORD=postgres
DB_HOST=localhost
DB_PORT=5432
DB_DATABASE=dify

# Redis 配置
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=

# 向量数据库
WEAVIATE_ENDPOINT=http://localhost:8080
WEAVIATE_API_KEY=

server {
    listen 443 ssl;
    server_name dify.yourdomain.com;

    ssl_certificate /path/to/cert.pem;
    ssl_certificate_key /path/to/key.pem;

    location / {
        proxy_pass http://localhost:3000;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }

    location /api {
        proxy_pass http://localhost:5001;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }
}

# Role
你是一个专业的技术写作助手。

# Instructions
- 用简洁清晰的语言解释技术概念
- 使用适当的例子来帮助理解
- 保持回答结构化，使用列表和小标题

# Tone
专业、友好、易懂

# 上传文档到知识库
# 支持格式：PDF、TXT、Markdown、DOCX、HTML

你是一个客服助手。当用户询问产品问题时，
请从知识库中检索相关信息来回答。

# Context
{{context}}

{
  "name": "my_tool",
  "description": "我的自定义工具",
  "url": "https://api.example.com/tool",
  "method": "POST",
  "parameters": {
    "type": "object",
    "properties": {
      "query": {"type": "string"}
    }
  }
}

[接收输入] → [提取关键信息] → [生成摘要] → [返回结果]

nodes:
  - id: start
    type: custom
    next: llm_node

  - id: llm_node
    type: llm
    model: gpt-4
    prompt: "请总结以下内容：{{input}}"
    next: end

  - id: end
    type: finish

curl -X POST http://localhost:5001/v1/chat-messages \
  -H "Authorization: Bearer YOUR-API-KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": {},
    "query": "What is Dify?",
    "response_mode": "blocking",
    "conversation_id": ""
  }'

from dify_client import Dify

client = Dify(api_key="your-api-key")

response = client.chat_message(
    query="What is Dify?",
    user="user-123"
)

print(response.content)

# 查看日志
docker compose logs -f

# 检查端口占用
netstat -tulpn | grep -E "3000|5001|5432|6379|8080"

# 重置数据库
docker compose down -v
docker compose up -d

server {
    listen 443 ssl http2;
    server_name dify.yourdomain.com;

    ssl_certificate /etc/ssl/certs/yourdomain.crt;
    ssl_certificate_key /etc/ssl/private/yourdomain.key;

    client_max_body_size 100M;

    location / {
        proxy_pass http://localhost:3000;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }

    location /api {
        proxy_pass http://localhost:5001;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }
}

upstream dify_backend {
    server 127.0.0.1:5001;
    server 127.0.0.1:5002;
    keepalive 32;
}

server {
    location /api {
        proxy_pass http://dify_backend;
        proxy_http_version 1.1;
        proxy_set_header Connection "";
    }
}

# 备份 PostgreSQL
pg_dump -U postgres -d dify > backup_$(date +%Y%m%d).sql

# 备份知识库文件
tar -czf knowledge_base_$(date +%Y%m%d).tar.gz ./knowledge