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fastapi-patterns

FastAPI 베스트 프랙티스: 프로젝트 구조, Pydantic v2 스키마, 의존성 주입, 비동기 핸들러, 인증, 권한 부여, 트랜잭션 서비스 레이어, httpx와 pytest를 사용한 테스트를 다룹니다. FastAPI 앱을 구축하거나 리뷰할 때 사용하세요.

fastapi-patterns란 무엇인가요?

이 FastAPI 패턴 스킬은 FastAPI 애플리케이션 개발을 위한 모범 사례를 종합적으로 제공합니다. 프로젝트 구조는 명확하게 분리된 레이어(라우터, 스키마, 서비스, 모델)로 구성되어 있어 유지보수성과 확장성이 뛰어납니다. Pydantic v2 스키마를 사용하여 데이터 검증을 강화하고, 의존성 주입을 통해 비즈니스 로직과 프레젠테이션 로직을 효과적으로 분리합니다. SQLAlchemy 비동기 세션을 활용한 트랜잭션 서비스 레이어는 데이터 일관성을 보장하며, JWT 기반 인증 및 권한 부여 패턴을 포함합니다. 또한 httpx와 pytest를 사용한 테스트 전략을 제공하여 안정적인 애플리케이션 개발을 지원합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/fastapi-patterns

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

FastAPI 패턴

현대적이고 프로덕션 수준의 FastAPI 개발: 프로젝트 레이아웃, Pydantic v2 스키마, 의존성 주입, 비동기 패턴, 인증, 트랜잭션 서비스 메서드, 테스트.

프로젝트 구조

my_app/
|-- app/
|   |-- main.py               # 앱 팩토리, 라이프사이클, 미들웨어
|   |-- config.py             # pydantic-settings를 통한 설정
|   |-- dependencies.py       # 공유 FastAPI 의존성
|   |-- database.py           # SQLAlchemy 엔진 + 세션
|   |-- routers/
|   |   `-- users.py
|   |-- models/               # SQLAlchemy ORM 모델
|   |   `-- user.py
|   |-- schemas/              # Pydantic 요청/응답 스키마
|   |   `-- user.py
|   `-- services/             # 비즈니스 로직 레이어
|       `-- user_service.py
|-- tests/
|   |-- conftest.py
|   `-- test_users.py
|-- pyproject.toml
`-- .env

앱 팩토리 및 라이프사이클

# app/main.py
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware

from app.config import settings
from app.database import engine, Base
from app.routers import users


@asynccontextmanager
async def lifespan(app: FastAPI):
    # 개발/데모 환경에서의 편의를 위해 시작 시 자동으로 테이블을 생성합니다.
    # 엄격한 프로덕션 애플리케이션에서는 Alembic 마이그레이션을 통해 스키마를 관리하세요.
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)
    yield
    # 종료: 풀링된 리소스를 정리합니다.
    await engine.dispose()


def create_app() -> FastAPI:
    app = FastAPI(
        title=settings.app_name,
        version=settings.app_version,
        lifespan=lifespan,
    )

    app.add_middleware(
        CORSMiddleware,
        allow_origins=settings.allowed_origins,
        allow_credentials=settings.allow_credentials,
        allow_methods=settings.allowed_methods,
        allow_headers=settings.allowed_headers,
    )

    app.include_router(users.router, prefix="/users", tags=["users"])

    return app


app = create_app()

pydantic-settings를 사용한 설정

# app/config.py
from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")

    app_name: str = "My App"
    app_version: str = "0.1.0"
    debug: bool = False

    database_url: str
    secret_key: str
    algorithm: str = "HS256"
    access_token_expire_minutes: int = 30

    # pydantic-settings v2는 변경 가능한 리스트 리터럴을 직접 안전하게 평가합니다.
    allowed_origins: list[str] = ["http://localhost:3000"]
    allowed_methods: list[str] = ["GET", "POST", "PATCH", "DELETE", "OPTIONS"]
    allowed_headers: list[str] = ["Authorization", "Content-Type"]
    allow_credentials: bool = True


settings = Settings()

Pydantic 스키마 (v2)

# app/schemas/user.py
from datetime import datetime
from pydantic import BaseModel, EmailStr, Field, model_validator


class UserBase(BaseModel):
    email: EmailStr
    username: str = Field(min_length=3, max_length=50)


class UserCreate(UserBase):
    password: str = Field(min_length=8)
    password_confirm: str

    @model_validator(mode="after")
    def passwords_match(self) -> "UserCreate":
        if self.password != self.password_confirm:
            raise ValueError("비밀번호가 일치하지 않습니다")
        return self


class UserUpdate(BaseModel):
    username: str | None = Field(default=None, min_length=3, max_length=50)
    email: EmailStr | None = None


class UserResponse(UserBase):
    id: int
    is_active: bool
    created_at: datetime

    model_config = {"from_attributes": True}


class UserListResponse(BaseModel):
    total: int
    items: list[UserResponse]

의존성 주입

# app/dependencies.py
from typing import Annotated, AsyncGenerator
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from sqlalchemy.ext.asyncio import AsyncSession

from app.config import settings
from app.database import AsyncSessionLocal
from app.models.user import User

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/users/token")


async def get_db() -> AsyncGenerator[AsyncSession, None]:
    async with AsyncSessionLocal() as session:
        try:
            yield session
        except Exception:
            await session.rollback()
            raise


async def get_current_user(
    token: Annotated[str, Depends(oauth2_scheme)],
    db: Annotated[AsyncSession, Depends(get_db)],
) -> User:
    credentials_exception = HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
        detail="자격 증명을 확인할 수 없습니다",
        headers={"WWW-Authenticate": "Bearer"},
    )
    try:
        payload = jwt.decode(token, settings.secret_key, algorithms=[settings.algorithm])
        subject = payload.get("sub")
        if subject is None:
            raise credentials_exception
        user_id = int(subject)
    except (JWTError, TypeError, ValueError):
        raise credentials_exception

    user = await db.get(User, user_id)
    if user is None:
        raise credentials_exception
    return user


async def get_current_active_user(
    current_user: Annotated[User, Depends(get_current_user)],
) -> User:
    if not current_user.is_active:
        raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="비활성 사용자")
    return current_user


DbDep = Annotated[AsyncSession, Depends(get_db)]
CurrentUserDep = Annotated[User, Depends(get_current_user)]
ActiveUserDep = Annotated[User, Depends(get_current_active_user)]

라우터 및 엔드포인트 디자인

# app/routers/users.py
from typing import Annotated
from fastapi import APIRouter, HTTPException, Query, status
from fastapi.security import OAuth2PasswordRequestForm

from app.dependencies import ActiveUserDep, DbDep
from app.schemas.user import UserCreate, UserResponse, UserUpdate, UserListResponse
from app.services.user_service import DuplicateUserError, UserService

router = APIRouter()


@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def create_user(payload: UserCreate, db: DbDep) -> UserResponse:
    service = UserService(db)
    try:
        return await service.create(payload)
    except DuplicateUserError:
        raise HTTPException(status_code=400, detail="이미 등록된 이메일입니다")


@router.get("/me", response_model=UserResponse)
async def get_me(current_user: ActiveUserDep) -> UserResponse:
    return current_user


@router.get("/", response_model=UserListResponse)
async def list_users(
    db: DbDep,
    current_user: ActiveUserDep,
    skip: Annotated[int, Query(ge=0)] = 0,
    limit: Annotated[int, Query(ge=1, le=100)] = 20,
) -> UserListResponse:
    service = UserService(db)
    users, total = await service.list(skip=skip, limit=limit)
    return UserListResponse(total=total, items=users)


@router.patch("/{user_id}", response_model=UserResponse)
async def update_user(
    user_id: int,
    payload: UserUpdate,
    db: DbDep,
    current_user: ActiveUserDep,
) -> UserResponse:
    if current_user.id != user_id:
        raise HTTPException(status_code=403, detail="권한이 없습니다")
    service = UserService(db)
    try:
        user = await service.update(user_id, payload)
    except DuplicateUserError:
        raise HTTPException(status_code=400, detail="이미 등록된 이메일입니다")
    if user is None:
        raise HTTPException(status_code=404, detail="사용자를 찾을 수 없습니다")
    return user


@router.post("/token")
async def login(
    form_data: Annotated[OAuth2PasswordRequestForm, Depends()],
    db: DbDep,
) -> dict[str, str]:
    service = UserService(db)
    token = await service.authenticate(form_data.username, form_data.password)
    if token is None:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="잘못된 사용자 이름 또는 비밀번호입니다",
            headers={"WWW-Authenticate": "Bearer"},
        )
    return {"access_token": token, "token_type": "bearer"}

서비스 레이어

# app/services/user_service.py
from datetime import datetime, timedelta, timezone

from jose import jwt
from passlib.context import CryptContext
from sqlalchemy import func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession

from app.config import settings
from app.models.user import User
from app.schemas.user import UserCreate, UserUpdate

pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")


class DuplicateUserError(Exception):
    """고유 사용자 필드가 기존 행과 충돌할 때 발생합니다."""


class UserService:
    def __init__(self, db: AsyncSession) -> None:
        self.db = db

    async def get_by_email(self, email: str) -> User | None:
        result = await self.db.execute(select(User).where(User.email == email))
        return result.scalar_one_or_none()

    async def create(self, payload: UserCreate) -> User:
        user = User(
            email=payload.email,
            username=payload.username,
            hashed_password=pwd_context.hash(payload.password),
        )
        self.db.add(user)
        try:
            # 경쟁 조건에 취약한 애플리케이션 레벨 사전 검사보다는 원자적 DB 제약 조건에 의존합니다.
            await self.db.commit()
        except IntegrityError as exc:
            await self.db.rollback()
            raise DuplicateUserError from exc
        await self.db.refresh(user)
        return user

    async def list(self, skip: int = 0, limit: int = 20) -> tuple[list[User], int]:
        total_result = await self.db.execute(select(func.count(User.id)))
        total = total_result.scalar_one()
        # 안정적인 페이지네이션을 위해 명시적인 결정론적 정렬을 적용합니다.
        result = await self.db.execute(
            select(User).order_by(User.id).offset(skip).limit(limit)
        )
        return list(result.scalars()), total

    async def update(self, user_id: int, payload: UserUpdate) -> User | None:
        user = await self.db.get(User, user_id)
        if user is None:
            return None
        for field, value in payload.model_dump(exclude_unset=True).items():
            setattr(user, field, value)
        try:
            await self.db.commit()
        except IntegrityError as exc:
            await self.db.rollback()
            raise DuplicateUserError from exc
        await self.db.refresh(user)
        return user

    async def authenticate(self, email: str, password: str) -> str | None:
        user = await self.get_by_email(email)
        if user is None or not pwd_context.verify(password, user.hashed_password):
            return None
        expire = datetime.now(timezone.utc) + timedelta(
            minutes=settings.access_token_expire_minutes
        )
        return jwt.encode(
            {"sub": str(user.id), "exp": expire},
            settings.secret_key,
            algorithm=settings.algorithm,
        )

데이터베이스 설계 참고: 애플리케이션 레벨의 고유성 처리는 기본 데이터베이스에 고유 인덱스가 있어야 합니다 (예: SQLAlchemy 매핑 속성에 unique=True). 기본 제약 조건이 없으면 애플리케이션 레이어의 오류 처리가 동시성 경쟁 조건을 안전하게 방지할 수 없습니다.


httpx와 pytest를 사용한 테스트

# tests/conftest.py
import pytest_asyncio
from httpx import ASGITransport, AsyncClient
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine

from app.database import Base
from app.dependencies import get_db
from app.main import create_app

TEST_DATABASE_URL = "sqlite+aiosqlite:///:memory:"

engine = create_async_engine(TEST_DATABASE_URL)
TestingSessionLocal = async_sessionmaker(engine, expire_on_commit=False)


@pytest_asyncio.fixture(autouse=True)
async def setup_db():
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)
    yield
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.drop_all)


@pytest_asyncio.fixture
async def db_session():
    async with TestingSessionLocal() as session:
        yield session
        await session.rollback()


@pytest_asyncio.fixture
async def client(db_session: AsyncSession):
    app = create_app()

    async def override_get_db():
        yield db_session

    app.dependency_overrides[get_db] = override_get_db

    async with AsyncClient(
        transport=ASGITransport(app=app), base_url="http://test"
    ) as ac:
        yield ac


@pytest_asyncio.fixture
async def registered_user(client: AsyncClient) -> dict:
    resp = await client.post("/users/", json={
        "email": "[email protected]",
        "username": "testuser",
        "password": "securepass1",
        "password_confirm": "securepass1",
    })
    assert resp.status_code == 201
    return resp.json()


@pytest_asyncio.fixture
async def auth_token(client: AsyncClient, registered_user: dict) -> str:
    resp = await client.post("/users/token", data={
        "username": "[email protected]",
        "password": "securepass1",
    })
    assert resp.status_code == 200
    return resp.json()["access_token"]


@pytest_asyncio.fixture
async def auth_client(client: AsyncClient, auth_token: str) -> AsyncClient:
    client.headers.update({"Authorization": f"Bearer {auth_token}"})
    return client

안티 패턴

# Bad: 라우트 핸들러 내에 비즈니스 로직이 포함됨.
@router.post("/users/")
async def create_user(payload: UserCreate, db: DbDep):
    hashed = bcrypt.hash(payload.password)
    user = User(email=payload.email, hashed_password=hashed)
    db.add(user)
    await db.commit()
    return user

# Good: 얇은 라우트, 트랜잭션 서비스 처리.
@router.post("/users/", response_model=UserResponse, status_code=201)
async def create_user(payload: UserCreate, db: DbDep):
    try:
        return await UserService(db).create(payload)
    except DuplicateUserError:
        raise HTTPException(status_code=400, detail="이미 등록된 이메일입니다")
# Bad: 트랜잭션에서 try/except 없이 단일 작업 실행.
async def update(self, user_id, data):
    user = await self.db.get(User, user_id)
    user.username = data.get("username")
    await self.db.commit()

# Good: 명시적인 롤백.
async def update(self, user_id, data):
    user = await self.db.get(User, user_id)
    if user is None:
        return None
    user.username = data.get("username")
    try:
        await self.db.commit()
    except IntegrityError:
        await self.db.rollback()
        raise
    return user

Alembic 마이그레이션

# 초기화:
# alembic init alembic

# env.py에 async SQLAlchemy URL 설정:
# config.set_main_option("sqlalchemy.url", settings.database_url)

# 자동 마이그레이션 생성:
# alembic revision --autogenerate -m "create users table"

# 마이그레이션 적용:
# alembic upgrade head

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

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