python-backend

Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash.

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Install skill "python-backend" with this command: npx skills add jiatastic/open-python-skills/jiatastic-open-python-skills-python-backend

python-backend

Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash.

When to Use This Skill

  • Building REST APIs with FastAPI

  • Implementing JWT/OAuth2 authentication

  • Setting up SQLAlchemy async databases

  • Integrating Redis/Upstash caching and rate limiting

  • Refactoring AI-generated Python code

  • Designing API patterns and project structure

Core Principles

  • Async-first - Use async/await for I/O operations

  • Type everything - Pydantic models for validation

  • Dependency injection - Use FastAPI's Depends()

  • Fail fast - Validate early, use HTTPException

  • Security by default - Never trust user input

Quick Patterns

Project Structure

src/ ├── auth/ │ ├── router.py # endpoints │ ├── schemas.py # pydantic models │ ├── models.py # db models │ ├── service.py # business logic │ └── dependencies.py ├── posts/ │ └── ... ├── config.py ├── database.py └── main.py

Async Routes

BAD - blocks event loop

@router.get("/") async def bad(): time.sleep(10) # Blocking!

GOOD - runs in threadpool

@router.get("/") def good(): time.sleep(10) # OK in sync function

BEST - non-blocking

@router.get("/") async def best(): await asyncio.sleep(10) # Non-blocking

Pydantic Validation

from pydantic import BaseModel, EmailStr, Field

class UserCreate(BaseModel): email: EmailStr username: str = Field(min_length=3, max_length=50, pattern="^[a-zA-Z0-9_]+$") age: int = Field(ge=18)

Dependency Injection

async def get_current_user(token: str = Depends(oauth2_scheme)) -> User: payload = decode_token(token) user = await get_user(payload["sub"]) if not user: raise HTTPException(401, "User not found") return user

@router.get("/me") async def get_me(user: User = Depends(get_current_user)): return user

SQLAlchemy Async

from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine

engine = create_async_engine(DATABASE_URL, pool_pre_ping=True) SessionLocal = async_sessionmaker(engine, expire_on_commit=False)

async def get_session() -> AsyncGenerator[AsyncSession, None]: async with SessionLocal() as session: yield session

Redis Caching

from upstash_redis import Redis

redis = Redis.from_env()

@app.get("/data/{id}") def get_data(id: str): cached = redis.get(f"data:{id}") if cached: return cached data = fetch_from_db(id) redis.setex(f"data:{id}", 600, data) return data

Rate Limiting

from upstash_ratelimit import Ratelimit, SlidingWindow

ratelimit = Ratelimit( redis=Redis.from_env(), limiter=SlidingWindow(max_requests=10, window=60), )

@app.get("/api/resource") def protected(request: Request): result = ratelimit.limit(request.client.host) if not result.allowed: raise HTTPException(429, "Rate limit exceeded") return {"data": "..."}

Reference Documents

For detailed patterns, see:

Document Content

references/fastapi_patterns.md

Project structure, async, Pydantic, dependencies, testing

references/security_patterns.md

JWT, OAuth2, password hashing, CORS, API keys

references/database_patterns.md

SQLAlchemy async, transactions, eager loading, migrations

references/upstash_patterns.md

Redis, rate limiting, QStash background jobs

Resources

  • FastAPI Documentation

  • SQLAlchemy 2.0 Documentation

  • Upstash Documentation

  • Pydantic Documentation

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