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---
name: project-guidelines-example
description: "基于真实生产应用的示例项目特定技能模板。"
origin: ECC
---
# 项目指南技能(示例)
这是一个项目特定技能的示例。将其用作您自己项目的模板。
基于一个真实的生产应用程序:[Zenith](https://zenith.chat) - 由 AI 驱动的客户发现平台。
## 何时使用
在为其设计的特定项目上工作时,请参考此技能。项目技能包含:
* 架构概述
* 文件结构
* 代码模式
* 测试要求
* 部署工作流
***
## 架构概述
**技术栈:**
* **前端**: Next.js 15 (App Router), TypeScript, React
* **后端**: FastAPI (Python), Pydantic 模型
* **数据库**: Supabase (PostgreSQL)
* **AI**: Claude API支持工具调用和结构化输出
* **部署**: Google Cloud Run
* **测试**: Playwright (E2E), pytest (后端), React Testing Library
**服务:**
```
┌─────────────────────────────────────────────────────────────┐
│ 前端 │
│ Next.js 15 + TypeScript + TailwindCSS │
│ 部署平台Vercel / Cloud Run │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 后端 │
│ FastAPI + Python 3.11 + Pydantic │
│ 部署平台Cloud Run │
└─────────────────────────────────────────────────────────────┘
┌───────────────┼───────────────┐
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Supabase │ │ Claude │ │ Redis │
│ 数据库 │ │ API │ │ 缓存 │
└──────────┘ └──────────┘ └──────────┘
```
***
## 文件结构
```
project/
├── frontend/
│ └── src/
│ ├── app/ # Next.js 应用路由页面
│ │ ├── api/ # API 路由
│ │ ├── (auth)/ # 受身份验证保护的路由
│ │ └── workspace/ # 主应用工作区
│ ├── components/ # React 组件
│ │ ├── ui/ # 基础 UI 组件
│ │ ├── forms/ # 表单组件
│ │ └── layouts/ # 布局组件
│ ├── hooks/ # 自定义 React 钩子
│ ├── lib/ # 工具库
│ ├── types/ # TypeScript 类型定义
│ └── config/ # 配置文件
├── backend/
│ ├── routers/ # FastAPI 路由处理器
│ ├── models.py # Pydantic 模型
│ ├── main.py # FastAPI 应用入口
│ ├── auth_system.py # 身份验证模块
│ ├── database.py # 数据库操作
│ ├── services/ # 业务逻辑层
│ └── tests/ # pytest 测试
├── deploy/ # 部署配置
├── docs/ # 文档
└── scripts/ # 工具脚本
```
***
## 代码模式
### API 响应格式 (FastAPI)
```python
from pydantic import BaseModel
from typing import Generic, TypeVar, Optional
T = TypeVar('T')
class ApiResponse(BaseModel, Generic[T]):
success: bool
data: Optional[T] = None
error: Optional[str] = None
@classmethod
def ok(cls, data: T) -> "ApiResponse[T]":
return cls(success=True, data=data)
@classmethod
def fail(cls, error: str) -> "ApiResponse[T]":
return cls(success=False, error=error)
```
### 前端 API 调用 (TypeScript)
```typescript
interface ApiResponse<T> {
success: boolean
data?: T
error?: string
}
async function fetchApi<T>(
endpoint: string,
options?: RequestInit
): Promise<ApiResponse<T>> {
try {
const response = await fetch(`/api${endpoint}`, {
...options,
headers: {
'Content-Type': 'application/json',
...options?.headers,
},
})
if (!response.ok) {
return { success: false, error: `HTTP ${response.status}` }
}
return await response.json()
} catch (error) {
return { success: false, error: String(error) }
}
}
```
### Claude AI 集成 (结构化输出)
```python
from anthropic import Anthropic
from pydantic import BaseModel
class AnalysisResult(BaseModel):
summary: str
key_points: list[str]
confidence: float
async def analyze_with_claude(content: str) -> AnalysisResult:
client = Anthropic()
response = client.messages.create(
model="claude-sonnet-4-5-20250514",
max_tokens=1024,
messages=[{"role": "user", "content": content}],
tools=[{
"name": "provide_analysis",
"description": "Provide structured analysis",
"input_schema": AnalysisResult.model_json_schema()
}],
tool_choice={"type": "tool", "name": "provide_analysis"}
)
# Extract tool use result
tool_use = next(
block for block in response.content
if block.type == "tool_use"
)
return AnalysisResult(**tool_use.input)
```
### 自定义 Hooks (React)
```typescript
import { useState, useCallback } from 'react'
interface UseApiState<T> {
data: T | null
loading: boolean
error: string | null
}
export function useApi<T>(
fetchFn: () => Promise<ApiResponse<T>>
) {
const [state, setState] = useState<UseApiState<T>>({
data: null,
loading: false,
error: null,
})
const execute = useCallback(async () => {
setState(prev => ({ ...prev, loading: true, error: null }))
const result = await fetchFn()
if (result.success) {
setState({ data: result.data!, loading: false, error: null })
} else {
setState({ data: null, loading: false, error: result.error! })
}
}, [fetchFn])
return { ...state, execute }
}
```
***
## 测试要求
### 后端 (pytest)
```bash
# Run all tests
poetry run pytest tests/
# Run with coverage
poetry run pytest tests/ --cov=. --cov-report=html
# Run specific test file
poetry run pytest tests/test_auth.py -v
```
**测试结构:**
```python
import pytest
from httpx import AsyncClient
from main import app
@pytest.fixture
async def client():
async with AsyncClient(app=app, base_url="http://test") as ac:
yield ac
@pytest.mark.asyncio
async def test_health_check(client: AsyncClient):
response = await client.get("/health")
assert response.status_code == 200
assert response.json()["status"] == "healthy"
```
### 前端 (React Testing Library)
```bash
# Run tests
npm run test
# Run with coverage
npm run test -- --coverage
# Run E2E tests
npm run test:e2e
```
**测试结构:**
```typescript
import { render, screen, fireEvent } from '@testing-library/react'
import { WorkspacePanel } from './WorkspacePanel'
describe('WorkspacePanel', () => {
it('renders workspace correctly', () => {
render(<WorkspacePanel />)
expect(screen.getByRole('main')).toBeInTheDocument()
})
it('handles session creation', async () => {
render(<WorkspacePanel />)
fireEvent.click(screen.getByText('New Session'))
expect(await screen.findByText('Session created')).toBeInTheDocument()
})
})
```
***
## 部署工作流
### 部署前检查清单
* \[ ] 所有测试在本地通过
* \[ ] `npm run build` 成功 (前端)
* \[ ] `poetry run pytest` 通过 (后端)
* \[ ] 没有硬编码的密钥
* \[ ] 环境变量已记录
* \[ ] 数据库迁移就绪
### 部署命令
```bash
# Build and deploy frontend
cd frontend && npm run build
gcloud run deploy frontend --source .
# Build and deploy backend
cd backend
gcloud run deploy backend --source .
```
### 环境变量
```bash
# Frontend (.env.local)
NEXT_PUBLIC_API_URL=https://api.example.com
NEXT_PUBLIC_SUPABASE_URL=https://xxx.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJ...
# Backend (.env)
DATABASE_URL=postgresql://...
ANTHROPIC_API_KEY=sk-ant-...
SUPABASE_URL=https://xxx.supabase.co
SUPABASE_KEY=eyJ...
```
***
## 关键规则
1. 在代码、注释或文档中**不使用表情符号**
2. **不可变性** - 永不改变对象或数组
3. **测试驱动开发 (TDD)** - 在实现之前编写测试
4. **最低 80% 覆盖率**
5. **许多小文件** - 典型 200-400 行,最多 800 行
6. 在生产代码中**不使用 console.log**
7. 使用 try/catch 进行**适当的错误处理**
8. 使用 Pydantic/Zod 进行**输入验证**
***
## 相关技能
* `coding-standards.md` - 通用编码最佳实践
* `backend-patterns.md` - API 和数据库模式
* `frontend-patterns.md` - React 和 Next.js 模式
* `tdd-workflow/` - 测试驱动开发方法论