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patrones-fastapi

Prácticas recomendadas de FastAPI que cubren estructura de proyectos, esquemas Pydantic v2, inyección de dependencias, manejadores asíncronos, autenticación, autorización, capas de servicio transaccionales y pruebas con httpx y pytest. Úsalo al construir o revisar aplicaciones FastAPI: esquemas Pydantic, dependencias, manejadores asíncronos, autenticación o pruebas.

¿Qué es patrones-fastapi?

Este skill proporciona un conjunto completo de patrones y mejores prácticas para el desarrollo de aplicaciones FastAPI modernas y listas para producción. Cubre la estructura del proyecto, el uso de Pydantic v2 para esquemas de solicitud y respuesta, la inyección de dependencias con `Depends` y `Annotated`, manejadores de rutas asíncronos con validación y autorización, y una capa de servicio transaccional que separa la lógica de negocio de los manejadores. También incluye un sistema de autenticación basado en JWT con OAuth2, autorización basada en roles de usuario y un enfoque de pruebas integral con httpx y pytest, incluyendo una base de datos en memoria para pruebas. Es ideal para desarrolladores que construyen nuevas aplicaciones FastAPI o revisan código existente, ya que ofrece ejemplos concretos y evita antipatrones comunes.

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Documentación

Patrones FastAPI

Desarrollo moderno y listo para producción con FastAPI: estructura de proyectos, esquemas Pydantic v2, inyección de dependencias, patrones asíncronos, autenticación, métodos de servicio transaccionales y pruebas.

Estructura del Proyecto

my_app/
|-- app/
|   |-- main.py               # Fábrica de la app, ciclo de vida, middleware
|   |-- config.py             # Configuración mediante pydantic-settings
|   |-- dependencies.py       # Dependencias compartidas de FastAPI
|   |-- database.py           # Motor SQLAlchemy + sesión
|   |-- routers/
|   |   `-- users.py
|   |-- models/               # Modelos ORM de SQLAlchemy
|   |   `-- user.py
|   |-- schemas/              # Esquemas Pydantic de solicitud/respuesta
|   |   `-- user.py
|   `-- services/             # Capa de lógica de negocio
|       `-- user_service.py
|-- tests/
|   |-- conftest.py
|   `-- test_users.py
|-- pyproject.toml
`-- .env

Fábrica de la Aplicación y Ciclo de Vida

# 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):
    # Crea automáticamente tablas al inicio para facilitar el uso en entornos de desarrollo/demo.
    # Para aplicaciones de producción estrictas, gestiona los esquemas mediante migraciones de Alembic.
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)
    yield
    # Apagado: cierra recursos agrupados.
    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()

Configuración con pydantic-settings

# 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 v2 evalúa de forma segura los literales de lista mutables directamente
    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()

Esquemas Pydantic (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("Las contraseñas no coinciden")
        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]

Inyección de Dependencias

# 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="No se pudieron validar las credenciales",
        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="Usuario inactivo")
    return current_user


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

Diseño de Rutas y Endpoints

# 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="El correo electrónico ya está registrado")


@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="No autorizado")
    service = UserService(db)
    try:
        user = await service.update(user_id, payload)
    except DuplicateUserError:
        raise HTTPException(status_code=400, detail="El correo electrónico ya está registrado")
    if user is None:
        raise HTTPException(status_code=404, detail="Usuario no encontrado")
    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="Nombre de usuario o contraseña incorrectos",
            headers={"WWW-Authenticate": "Bearer"},
        )
    return {"access_token": token, "token_type": "bearer"}

Capa de Servicio

# 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):
    """Se lanza cuando un campo único de usuario entra en conflicto con una fila existente."""


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:
            # Confiar en restricciones atómicas de la base de datos en lugar de verificaciones previas propensas a condiciones de carrera
            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()
        # Aplicar un orden determinista explícito para garantizar una paginación confiable
        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,
        )

Nota sobre el diseño de la base de datos: El manejo de unicidad a nivel de aplicación requiere un índice único subyacente en la base de datos (por ejemplo, unique=True en los atributos de mapeo de SQLAlchemy). Sin restricciones subyacentes, la captura de errores a nivel de aplicación no puede prevenir de forma segura condiciones de carrera concurrentes.


Pruebas con httpx y pytest

# 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

Antipatrones

# Malo: lógica de negocio dentro de los manejadores de ruta.
@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

# Bueno: ruta ligera, manejo de servicio transaccional.
@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="El correo electrónico ya está registrado")


# Malo: verificación de unicidad propensa a condiciones de carrera antes de la inserción.
if await UserService(db).get_by_email(payload.email):
    raise HTTPException(status_code=400, detail="El correo electrónico ya existe")

# Bueno: confiar en restricciones únicas de la base de datos y manejar la excepción IntegrityError.
# UserService.create utiliza commit y captura IntegrityError de forma atómica.

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/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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.

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