关于 fastapi-coder
fastapi-coder 是一项面向 FastAPI 开发者的编码指导技能,聚焦异步优先、类型安全和清晰的分层结构。内容包含 Pydantic、依赖注入、数据库访问、认证与测试模式。
主要功能
- 01采用 async/await 异步模式
- 02用 Pydantic 定义请求与响应
- 03通过 Depends 注入共享依赖
- 04按路由、服务和仓库分层
- 05覆盖认证、数据库与测试模式
适用场景
- 01搭建结构清晰的 FastAPI 应用
- 02实现类型安全的 API 端点
- 03组织异步数据库访问
- 04编写认证与异步客户端测试
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ majesticlabs-dev/ majestic-marketplace --skill fastapi-coder安装后在 Claude Code 中输入/fastapi-coder确认已加载。
详细介绍
FastAPI 编码器
核心原则
| 原则 | 应用方式 |
|---|---|
| 异步优先 | 全面使用 async/await,仅在必要时使用同步代码 |
| 类型安全 | 所有请求/响应数据都使用 Pydantic 模型 |
| 依赖注入 | 使用 Depends() 处理共享逻辑,而非全局状态 |
| OpenAPI 驱动 | 自动生成 Schema;保持整洁 |
| 关注点分离 | 路由 → 服务 → 仓库 |
项目结构
app/
├── main.py # FastAPI app initialization
├── api/
│ ├── __init__.py
│ ├── deps.py # Shared dependencies
│ └── routes/ # Route handlers by domain
│ ├── users.py
│ └── items.py
├── core/
│ ├── config.py # Settings via pydantic-settings
│ ├── security.py # Auth utilities
│ └── exceptions.py # Custom exceptions
├── models/ # Pydantic schemas
│ ├── user.py
│ └── item.py
├── services/ # Business logic
│ └── user_service.py
├── repositories/ # Data access
│ └── user_repo.py
└── tests/
├── conftest.py # Shared fixtures
└── test_users.py
核心模式
路由处理程序
from fastapi import APIRouter, Depends, HTTPException, status
from app.models.user import UserCreate, UserResponse
from app.services.user_service import UserService
from app.api.deps import get_user_service
router = APIRouter(prefix="/users", tags=["users"])
@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def create_user(
user_in: UserCreate,
service: UserService = Depends(get_user_service),
) -> UserResponse:
"""Create a new user."""
return await service.create(user_in)
Pydantic 模型
from pydantic import BaseModel, EmailStr, Field
from datetime import datetime
class UserBase(BaseModel):
email: EmailStr
name: str = Field(..., min_length=1, max_length=100)
class UserCreate(UserBase):
password: str = Field(..., min_length=8)
class UserResponse(UserBase):
id: int
created_at: datetime
model_config = {"from_attributes": True}
依赖项
from typing import Annotated
from fastapi import Depends, Header, HTTPException
from app.core.security import verify_token
async def get_current_user(
authorization: Annotated[str, Header()],
) -> User:
token = authorization.removeprefix("Bearer ")
user = await verify_token(token)
if not user:
raise HTTPException(status_code=401, detail="Invalid token")
return user
CurrentUser = Annotated[User, Depends(get_current_user)]
服务层
from app.repositories.user_repo import UserRepository
from app.models.user import UserCreate, UserResponse
class UserService:
def __init__(self, repo: UserRepository):
self.repo = repo
async def create(self, user_in: UserCreate) -> UserResponse:
# Business logic here
existing = await self.repo.get_by_email(user_in.email)
if existing:
raise ValueError("Email already registered")
return await self.repo.create(user_in)
异常处理
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse
class AppException(Exception):
def __init__(self, status_code: int, detail: str):
self.status_code = status_code
self.detail = detail
@app.exception_handler(AppException)
async def app_exception_handler(request: Request, exc: AppException):
return JSONResponse(
status_code=exc.status_code,
content={"detail": exc.detail},
)
后台任务
from fastapi import BackgroundTasks
async def send_welcome_email(email: str):
# Async email sending
...
@router.post("/users/")
async def create_user(
user_in: UserCreate,
background_tasks: BackgroundTasks,
):
user = await create_user_in_db(user_in)
background_tasks.add_task(send_welcome_email, user.email)
return user
数据库集成
SQLAlchemy 2.0 异步
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker
engine = create_async_engine("postgresql+asyncpg://...", echo=True)
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
async def get_db() -> AsyncGenerator[AsyncSession, None]:
async with async_session() as session:
yield session
仓库模式
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
class UserRepository:
def __init__(self, db: AsyncSession):
self.db = db
async def get_by_id(self, user_id: int) -> User | None:
result = await self.db.execute(select(User).where(User.id == user_id))
return result.scalar_one_or_none()
身份验证模式
JWT 身份验证
from datetime import datetime, timedelta
from jose import jwt, JWTError
from app.core.config import settings
def create_access_token(data: dict) -> str:
expire = datetime.utcnow() + timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES)
return jwt.encode({**data, "exp": expire}, settings.SECRET_KEY, algorithm="HS256")
async def verify_token(token: str) -> dict | None:
try:
return jwt.decode(token, settings.SECRET_KEY, algorithms=["HS256"])
except JWTError:
return None
测试模式
import pytest
from httpx import AsyncClient, ASGITransport
from app.main import app
@pytest.fixture
async def client():
async with AsyncClient(
transport=ASGITransport(app=app),
base_url="http://test",
) as ac:
yield ac
@pytest.mark.asyncio
async def test_create_user(client: AsyncClient):
response = await client.post("/users/", json={
"email": "[email protected]",
"name": "Test User",
"password": "securepass123",
})
assert response.status_code == 201
assert response.json()["email"] == "[email protected]"
质量检查清单
- 所有路由都设置了 response_model 和 status_code
- 所有请求/响应数据都使用 Pydantic 模型
- 使用依赖项处理共享逻辑(身份验证、数据库、服务)
- 服务层将业务逻辑与路由分离
- 使用仓库模式进行数据访问
- 自定义异常并设置适当的处理程序
- 异步数据库操作
- 使用后台任务执行非阻塞操作
- 使用 httpx AsyncClient 编写全面的测试
- 全面添加类型提示
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