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346 lines
9.8 KiB
Markdown
346 lines
9.8 KiB
Markdown
# 项目指南技能（Project Guidelines Skill，示例）
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这是一个特定项目的技能（Skill）示例。请将其用作你自定义项目的模板。
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基于真实的生产应用：[Zenith](https://zenith.chat) - AI 驱动的客户发现平台。
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---
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## 何时使用 (When to Use)
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在处理该特定项目时参考此技能。项目技能包含：
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- 架构概览 (Architecture overview)
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- 文件结构 (File structure)
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- 代码模式 (Code patterns)
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- 测试要求 (Testing requirements)
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- 部署工作流 (Deployment workflow)
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---
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## 架构概览 (Architecture Overview)
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**技术栈 (Tech Stack)：**
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- **前端 (Frontend)**：Next.js 15 (App Router), TypeScript, React
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- **后端 (Backend)**：FastAPI (Python), Pydantic 模型
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- **数据库 (Database)**：Supabase (PostgreSQL)
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- **AI**：Claude API（支持工具调用与结构化输出）
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- **部署 (Deployment)**：Google Cloud Run
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- **测试 (Testing)**：Playwright (E2E), pytest (后端), React Testing Library
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**服务 (Services)：**
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```
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┌─────────────────────────────────────────────────────────────┐
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│ Frontend │
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│ Next.js 15 + TypeScript + TailwindCSS │
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│ Deployed: Vercel / Cloud Run │
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└─────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────┐
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│ Backend │
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│ FastAPI + Python 3.11 + Pydantic │
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│ Deployed: Cloud Run │
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└─────────────────────────────────────────────────────────────┘
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│
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┌───────────────┼───────────────┐
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▼ ▼ ▼
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┌──────────┐ ┌──────────┐ ┌──────────┐
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│ Supabase │ │ Claude │ │ Redis │
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│ Database │ │ API │ │ Cache │
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└──────────┘ └──────────┘ └──────────┘
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```
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---
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## 文件结构 (File Structure)
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```
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project/
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├── frontend/
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│ └── src/
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│ ├── app/ # Next.js App Router 页面
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│ │ ├── api/ # API 路由
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│ │ ├── (auth)/ # 身份验证保护的路由
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│ │ └── workspace/ # 主应用工作区
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│ ├── components/ # React 组件
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│ │ ├── ui/ # 基础 UI 组件
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│ │ ├── forms/ # 表单组件
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│ │ └── layouts/ # 布局组件
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│ ├── hooks/ # 自定义 React 钩子 (Hooks)
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│ ├── lib/ # 工具库
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│ ├── types/ # TypeScript 类型定义
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│ └── config/ # 配置
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│
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├── backend/
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│ ├── routers/ # FastAPI 路由处理器
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│ ├── models.py # Pydantic 模型
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│ ├── main.py # FastAPI 应用入口
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│ ├── auth_system.py # 身份验证系统
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│ ├── database.py # 数据库操作
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│ ├── services/ # 业务逻辑
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│ └── tests/ # pytest 测试
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│
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├── deploy/ # 部署配置
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├── docs/ # 文档
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└── scripts/ # 工具脚本
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```
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---
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## 代码模式 (Code Patterns)
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### API 响应格式 (FastAPI)
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```python
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from pydantic import BaseModel
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from typing import Generic, TypeVar, Optional
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T = TypeVar('T')
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class ApiResponse(BaseModel, Generic[T]):
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success: bool
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data: Optional[T] = None
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error: Optional[str] = None
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@classmethod
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def ok(cls, data: T) -> "ApiResponse[T]":
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return cls(success=True, data=data)
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@classmethod
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def fail(cls, error: str) -> "ApiResponse[T]":
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return cls(success=False, error=error)
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```
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### 前端 API 调用 (TypeScript)
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```typescript
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interface ApiResponse<T> {
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success: boolean
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data?: T
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error?: string
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}
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async function fetchApi<T>(
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endpoint: string,
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options?: RequestInit
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): Promise<ApiResponse<T>> {
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try {
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const response = await fetch(`/api${endpoint}`, {
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...options,
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headers: {
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'Content-Type': 'application/json',
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...options?.headers,
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},
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})
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if (!response.ok) {
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return { success: false, error: `HTTP ${response.status}` }
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}
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return await response.json()
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} catch (error) {
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return { success: false, error: String(error) }
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}
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}
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```
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### Claude AI 集成 (结构化输出)
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```python
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from anthropic import Anthropic
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from pydantic import BaseModel
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class AnalysisResult(BaseModel):
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summary: str
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key_points: list[str]
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confidence: float
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async def analyze_with_claude(content: str) -> AnalysisResult:
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client = Anthropic()
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response = client.messages.create(
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model="claude-sonnet-4-5-20250514",
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max_tokens=1024,
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messages=[{"role": "user", "content": content}],
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tools=[{
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"name": "provide_analysis",
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"description": "Provide structured analysis",
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"input_schema": AnalysisResult.model_json_schema()
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}],
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tool_choice={"type": "tool", "name": "provide_analysis"}
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)
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# 提取工具调用结果
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tool_use = next(
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block for block in response.content
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if block.type == "tool_use"
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)
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return AnalysisResult(**tool_use.input)
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```
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### 自定义钩子 (React Hooks)
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```typescript
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import { useState, useCallback } from 'react'
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interface UseApiState<T> {
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data: T | null
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loading: boolean
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error: string | null
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}
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export function useApi<T>(
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fetchFn: () => Promise<ApiResponse<T>>
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) {
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const [state, setState] = useState<UseApiState<T>>({
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data: null,
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loading: false,
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error: null,
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})
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const execute = useCallback(async () => {
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setState(prev => ({ ...prev, loading: true, error: null }))
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const result = await fetchFn()
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if (result.success) {
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setState({ data: result.data!, loading: false, error: null })
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} else {
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setState({ data: null, loading: false, error: result.error! })
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}
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}, [fetchFn])
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return { ...state, execute }
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}
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```
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---
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## 测试要求 (Testing Requirements)
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### 后端 (pytest)
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```bash
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# 运行所有测试
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poetry run pytest tests/
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# 运行并生成覆盖率报告
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poetry run pytest tests/ --cov=. --cov-report=html
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# 运行特定测试文件
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poetry run pytest tests/test_auth.py -v
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```
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**测试结构：**
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```python
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import pytest
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from httpx import AsyncClient
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from main import app
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@pytest.fixture
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async def client():
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async with AsyncClient(app=app, base_url="http://test") as ac:
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yield ac
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@pytest.mark.asyncio
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async def test_health_check(client: AsyncClient):
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response = await client.get("/health")
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assert response.status_code == 200
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assert response.json()["status"] == "healthy"
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```
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### 前端 (React Testing Library)
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```bash
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# 运行测试
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npm run test
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# 运行并生成覆盖率报告
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npm run test -- --coverage
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# 运行 E2E 测试
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npm run test:e2e
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```
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**测试结构：**
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```typescript
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import { render, screen, fireEvent } from '@testing-library/react'
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import { WorkspacePanel } from './WorkspacePanel'
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describe('WorkspacePanel', () => {
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it('renders workspace correctly', () => {
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render(<WorkspacePanel />)
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expect(screen.getByRole('main')).toBeInTheDocument()
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})
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it('handles session creation', async () => {
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render(<WorkspacePanel />)
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fireEvent.click(screen.getByText('New Session'))
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expect(await screen.findByText('Session created')).toBeInTheDocument()
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})
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})
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```
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---
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## 部署工作流 (Deployment Workflow)
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### 部署前自查清单 (Pre-Deployment Checklist)
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- [ ] 所有测试在本地通过
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- [ ] `npm run build` 成功 (前端)
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- [ ] `poetry run pytest` 通过 (后端)
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- [ ] 无硬编码的秘钥 (Secrets)
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- [ ] 环境变量已记录文档
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- [ ] 数据库迁移就绪
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### 部署命令 (Deployment Commands)
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```bash
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# 构建并部署前端
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cd frontend && npm run build
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gcloud run deploy frontend --source .
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# 构建并部署后端
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cd backend
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gcloud run deploy backend --source .
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```
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### 环境变量 (Environment Variables)
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```bash
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# 前端 (.env.local)
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NEXT_PUBLIC_API_URL=https://api.example.com
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NEXT_PUBLIC_SUPABASE_URL=https://xxx.supabase.co
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NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJ...
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# 后端 (.env)
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DATABASE_URL=postgresql://...
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ANTHROPIC_API_KEY=sk-ant-...
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SUPABASE_URL=https://xxx.supabase.co
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SUPABASE_KEY=eyJ...
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```
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---
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## 核心规则 (Critical Rules)
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1. 代码、注释或文档中**严禁使用 Emoji**
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2. **不可变性 (Immutability)** - 永远不要直接改变对象或数组
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3. **测试驱动开发 (TDD)** - 在实现之前编写测试
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4. 最小 **80% 测试覆盖率**
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5. **大量小文件** - 通常为 200-400 行，最多 800 行
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6. 生产代码中**严禁使用 console.log**
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7. 使用 try/catch 进行**妥善的错误处理**
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8. 使用 Pydantic/Zod 进行**输入验证**
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---
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## 相关技能 (Related Skills)
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- `coding-standards.md` - 通用代码最佳实践
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- `backend-patterns.md` - API 与数据库模式
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- `frontend-patterns.md` - React 与 Next.js 模式
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- `tdd-workflow/` - 测试驱动开发 (TDD) 方法论
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