virgo777/buddyme/project-guidelines-example

┌─────────────────────────────────────────────────────────────┐
│                         前端（Frontend）                    │
│  Next.js 15 + TypeScript + TailwindCSS                     │
│  部署于（Deployed）: Vercel / Cloud Run                    │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│                         后端（Backend）                     │
│  FastAPI + Python 3.11 + Pydantic                          │
│  部署于（Deployed）: Cloud Run                             │
└─────────────────────────────────────────────────────────────┘
                              │
              ┌───────────────┼───────────────┐
              ▼               ▼               ▼
        ┌──────────┐   ┌──────────┐   ┌──────────┐
        │ Supabase │   │  Claude  │   │  Redis   │
        │ 数据库   │   │   API    │   │  缓存    │
        └──────────┘   └──────────┘   └──────────┘

project/
├── frontend/
│   └── src/
│       ├── app/              # Next.js App Router 页面
│       │   ├── api/          # API 路由
│       │   ├── (auth)/       # 身份验证保护的路由
│       │   └── workspace/    # 主应用程序工作区
│       ├── 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 Hooks
│       ├── lib/              # 实用工具
│       ├── types/            # TypeScript 定义
│       └── config/           # 配置
│
├── backend/
│   ├── routers/              # FastAPI 路由处理器
│   ├── models.py             # Pydantic 模型
│   ├── main.py               # FastAPI 应用程序入口
│   ├── auth_system.py        # 身份验证
│   ├── database.py           # 数据库操作
│   ├── services/             # 业务逻辑
│   └── tests/                # pytest 测试
│
├── deploy/                   # 部署配置
├── docs/                     # 文档
└── scripts/                  # 实用脚本

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)

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) }
  }
}

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"}
    )
    # 提取工具使用（tool_use）结果
    tool_use = next(
        block for block in response.content
        if block.type == "tool_use"
    )
    return AnalysisResult(**tool_use.input)

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 }
}

# 运行所有测试
poetry run pytest tests/
 
# 运行并生成覆盖率报告
poetry run pytest tests/ --cov=. --cov-report=html
 
# 运行特定测试文件
poetry run pytest tests/test_auth.py -v

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"

# 运行测试
npm run test
 
# 运行并生成覆盖率报告
npm run test -- --coverage
 
# 运行 E2E 测试
npm run test:e2e

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()
  })
})

# 构建并部署前端
cd frontend && npm run build
gcloud run deploy frontend --source .
 
# 构建并部署后端
cd backend
gcloud run deploy backend --source .

# 前端 (.env.local)
NEXT_PUBLIC_API_URL=https://api.example.com
NEXT_PUBLIC_SUPABASE_URL=https://xxx.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJ...
 
# 后端 (.env)
DATABASE_URL=postgresql://...
ANTHROPIC_API_KEY=sk-ant-...
SUPABASE_URL=https://xxx.supabase.co
SUPABASE_KEY=eyJ...