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python-fastapi-patterns

python-fastapi-patterns

github.com/autohandaiDevelopment1148 installsUpdated 15w ago
Repository

About python-fastapi-patterns

A pattern guide for developers building Python FastAPI applications, covering project organization, validation, dependencies, async work, errors, settings, middleware, and tests.

Key features

  1. 01Organizing routes and services
  2. 02Validating data with Pydantic
  3. 03Injecting shared dependencies
  4. 04Handling asynchronous I/O
  5. 05Managing errors and settings
  6. 06Testing with pytest and AsyncClient

Use cases

  1. 01Structuring a FastAPI application
  2. 02Creating validated API endpoints
  3. 03Testing asynchronous HTTP routes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/autohandai/community-skills --skill python-fastapi-patterns

After installing, type/python-fastapi-patternsin Claude Code to confirm it loaded.

Details

From the project README

Python FastAPI Patterns

Project Structure

src/
├── main.py           # App entry point
├── config.py         # Settings management
├── dependencies.py   # Shared dependencies
├── models/           # Pydantic models
├── routes/           # API endpoints
├── services/         # Business logic
├── repositories/     # Data access
└── utils/            # Helpers

Basic Setup

# main.py
from fastapi import FastAPI
from contextlib import asynccontextmanager

@asynccontextmanager
async def lifespan(app: FastAPI):
    # Startup
    await init_db()
    yield
    # Shutdown
    await close_db()

app = FastAPI(
    title="My API",
    version="1.0.0",
    lifespan=lifespan,
)

Pydantic Models

from pydantic import BaseModel, Field, EmailStr
from datetime import datetime
from typing import Optional

class UserBase(BaseModel):
    email: EmailStr
    name: str = Field(min_length=2, 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}

class UserUpdate(BaseModel):
    email: Optional[EmailStr] = None
    name: Optional[str] = Field(None, min_length=2, max_length=100)

Route Organization

# routes/users.py
from fastapi import APIRouter, Depends, HTTPException, status
from typing import Annotated

router = APIRouter(prefix="/users", tags=["users"])

@router.get("/", response_model=list[UserResponse])
async def list_users(
    skip: int = 0,
    limit: int = Query(20, le=100),
    db: Session = Depends(get_db),
):
    return await user_service.get_all(db, skip=skip, limit=limit)

@router.get("/{user_id}", response_model=UserResponse)
async def get_user(
    user_id: int,
    db: Session = Depends(get_db),
):
    user = await user_service.get_by_id(db, user_id)
    if not user:
        raise HTTPException(status_code=404, detail="User not found")
    return user

@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def create_user(
    user_in: UserCreate,
    db: Session = Depends(get_db),
):
    return await user_service.create(db, user_in)

Dependency Injection

# dependencies.py
from fastapi import Depends, HTTPException, Security
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials

security = HTTPBearer()

async def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        await db.close()

async def get_current_user(
    credentials: HTTPAuthorizationCredentials = Security(security),
    db: Session = Depends(get_db),
) -> User:
    token = credentials.credentials
    payload = decode_token(token)
    if not payload:
        raise HTTPException(status_code=401, detail="Invalid token")

    user = await user_service.get_by_id(db, payload["sub"])
    if not user:
        raise HTTPException(status_code=401, detail="User not found")
    return user

# Type alias for cleaner signatures
CurrentUser = Annotated[User, Depends(get_current_user)]

Async Patterns

import asyncio
from httpx import AsyncClient

# Parallel requests
async def fetch_all_data(user_id: int):
    async with AsyncClient() as client:
        tasks = [
            client.get(f"/api/user/{user_id}"),
            client.get(f"/api/user/{user_id}/posts"),
            client.get(f"/api/user/{user_id}/stats"),
        ]
        results = await asyncio.gather(*tasks)
        return {
            "user": results[0].json(),
            "posts": results[1].json(),
            "stats": results[2].json(),
        }

# Background tasks
from fastapi import BackgroundTasks

@router.post("/notify")
async def send_notification(
    email: str,
    background_tasks: BackgroundTasks,
):
    background_tasks.add_task(send_email, email)
    return {"message": "Notification queued"}

Error Handling

from fastapi import Request
from fastapi.responses import JSONResponse

class AppException(Exception):
    def __init__(self, code: str, message: str, status_code: int = 400):
        self.code = code
        self.message = message
        self.status_code = status_code

@app.exception_handler(AppException)
async def app_exception_handler(request: Request, exc: AppException):
    return JSONResponse(
        status_code=exc.status_code,
        content={
            "success": False,
            "error": {"code": exc.code, "message": exc.message}
        },
    )

@app.exception_handler(Exception)
async def generic_exception_handler(request: Request, exc: Exception):
    return JSONResponse(
        status_code=500,
        content={
            "success": False,
            "error": {"code": "INTERNAL_ERROR", "message": "Something went wrong"}
        },
    )

Settings Management

# config.py
from pydantic_settings import BaseSettings
from functools import lru_cache

class Settings(BaseSettings):
    app_name: str = "My API"
    debug: bool = False
    database_url: str
    secret_key: str

    model_config = {"env_file": ".env"}

@lru_cache
def get_settings() -> Settings:
    return Settings()

Middleware

from fastapi import Request
from time import time
import logging

logger = logging.getLogger(__name__)

@app.middleware("http")
async def log_requests(request: Request, call_next):
    start = time()
    response = await call_next(request)
    duration = time() - start

    logger.info(
        f"{request.method} {request.url.path} "
        f"status={response.status_code} duration={duration:.3f}s"
    )
    return response

Testing

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_create_user(client: AsyncClient):
    response = await client.post(
        "/users/",
        json={"email": "[email protected]", "name": "Test", "password": "password123"}
    )
    assert response.status_code == 201
    assert response.json()["email"] == "[email protected]"

Best Practices

  1. Use type hints everywhere for auto-documentation
  2. Validate at boundaries with Pydantic models
  3. Inject dependencies for testability
  4. Handle errors consistently with custom exceptions
  5. Use async/await for I/O operations
  6. Keep routes thin - business logic in services
  7. Document with OpenAPI annotations

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