python
This Claude Code skill provides structured patterns for building Python backend services using FastAPI, including project organization, async endpoint implementation, Pydantic schema validation, SQLAlchemy ORM models, database configuration, dependency injection, and pytest testing frameworks. Use it when developing REST APIs, setting up database layers with async support, implementing authentication flows, or establishing production-ready Python backend architectures.
git clone --depth 1 https://github.com/MadAppGang/claude-code /tmp/python && cp -r /tmp/python/plugins/dev/skills/backend/python ~/.claude/skills/pythonSKILL.md
# Python Backend Patterns
## Overview
Python patterns for building backend services with FastAPI.
## Project Structure
```
project/
├── app/
│ ├── __init__.py
│ ├── main.py # FastAPI app
│ ├── config.py # Configuration
│ ├── dependencies.py # Dependency injection
│ ├── routers/ # API routes
│ │ ├── __init__.py
│ │ └── users.py
│ ├── services/ # Business logic
│ ├── repositories/ # Data access
│ ├── models/ # SQLAlchemy models
│ ├── schemas/ # Pydantic schemas
│ └── utils/ # Utilities
├── tests/ # Test files
├── migrations/ # Alembic migrations
├── pyproject.toml
└── requirements.txt
```
## FastAPI Application
### Main Application
```python
# app/main.py
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from app.config import settings
from app.routers import users, auth
from app.database import engine, Base
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
yield
# Shutdown
await engine.dispose()
app = FastAPI(
title="My API",
version="1.0.0",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.cors_origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(auth.router, prefix="/api/auth", tags=["auth"])
app.include_router(users.router, prefix="/api/users", tags=["users"])
@app.get("/health")
async def health():
return {"status": "ok"}
```
### Configuration
```python
# app/config.py
from pydantic_settings import BaseSettings
from functools import lru_cache
class Settings(BaseSettings):
database_url: str = "postgresql+asyncpg://localhost/app"
redis_url: str = "redis://localhost:6379"
secret_key: str = "your-secret-key"
access_token_expire_minutes: int = 30
cors_origins: list[str] = ["http://localhost:3000"]
class Config:
env_file = ".env"
@lru_cache
def get_settings() -> Settings:
return Settings()
settings = get_settings()
```
## Pydantic Schemas
```python
# app/schemas/user.py
from pydantic import BaseModel, EmailStr, Field
from datetime import datetime
from typing import Optional
class UserBase(BaseModel):
name: str = Field(..., min_length=2, max_length=100)
email: EmailStr
class UserCreate(UserBase):
password: str = Field(..., min_length=8)
class UserUpdate(BaseModel):
name: Optional[str] = Field(None, min_length=2, max_length=100)
email: Optional[EmailStr] = None
class UserResponse(UserBase):
id: str
created_at: datetime
class Config:
from_attributes = True
class PaginatedResponse(BaseModel):
items: list[UserResponse]
total: int
page: int
page_size: int
```
## SQLAlchemy Models
```python
# app/models/user.py
from sqlalchemy import Column, String, DateTime, Boolean
from sqlalchemy.sql import func
from app.database import Base
import uuid
class User(Base):
__tablename__ = "users"
id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
name = Column(String(100), nullable=False)
email = Column(String(255), unique=True, nullable=False, index=True)
password_hash = Column(String(255), nullable=False)
is_active = Column(Boolean, default=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
```
## Async Database
```python
# app/database.py
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker, declarative_base
from app.config import settings
engine = create_async_engine(settings.database_url, echo=True)
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
Base = declarative_base()
async def get_db():
async with async_session() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
finally:
await session.close()
```
## Repository Pattern
```python
# app/repositories/user.py
from sqlalchemy import select, func
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.user import User
from app.schemas.user import UserCreate, UserUpdate
class UserRepository:
def __init__(self, session: AsyncSession):
self.session = session
async def find_by_id(self, id: str) -> User | None:
result = await self.session.execute(
select(User).where(User.id == id)
)
return result.scalar_one_or_none()
async def find_by_email(self, email: str) -> User | None:
result = await self.session.execute(
select(User).where(User.email == email)
)
return result.scalar_one_or_none()
async def find_all(self, page: int = 1, page_size: int = 20) -> tuple[list[User], int]:
offset = (page - 1) * page_size
# Get items
result = await self.session.execute(
select(User)
.order_by(User.created_at.desc())
.offset(offset)
.limit(page_size)
)
items = result.scalars().all()
# Get total count
count_result = await self.session.execute(
select(func.count()).select_from(User)
)
total = count_result.scalar()
return list(items), total
async def create(self, data: UserCreate, password_hash: str) -> User:
user = User(
name=data.name,
email=data.email,
password_hash=password_hash,
)
self.session.add(user)
await self.session.flush()
return user
async def update(self, user: User, data: UserUpdArchitecture Decision Records (ADR) documentation practice. Use when documenting architectural decisions, recording technical trade-offs, creating decision logs, or establishing architectural patterns. Trigger keywords - "ADR", "architecture decision", "decision record", "trade-offs", "architectural decision", "decision log".
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Use when implementing authentication (JWT, sessions, OAuth), authorization (RBAC, ABAC), password hashing, MFA, or security best practices for backend services.