from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


@app.post("/images/multiple/")
async def create_multiple_images(images: list[Image]):

Verwenden Sie diese, um eine Funktion zu dekorieren, die ein einziges `yield` hat.

Das ist es auch, was **FastAPI** intern für Abhängigkeiten mit `yield` verwendet.

Aber Sie müssen die Dekoratoren nicht für FastAPI-Abhängigkeiten verwenden (und das sollten Sie auch nicht).

FastAPI erledigt das intern für Sie.

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: str = Query(min_length=3)):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

# Plantillas { #templates }

Puedes usar cualquier motor de plantillas que desees con **FastAPI**.

Una elección común es Jinja2, el mismo que usa Flask y otras herramientas.

Hay utilidades para configurarlo fácilmente que puedes usar directamente en tu aplicación de **FastAPI** (proporcionadas por Starlette).

## Instala dependencias { #install-dependencies }

from contextlib import asynccontextmanager

from fastapi import FastAPI
from fastapi.testclient import TestClient

items = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}
    yield
    # clean up items
    items.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/items/{item_id}")
async def read_items(item_id: str):

from fastapi import FastAPI
from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/a/{id}")
async def a(id):
    pass  # pragma: no cover


client = TestClient(app)


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Model(BaseModel):
    pass


class Model2(BaseModel):
    a: Model


class Model3(BaseModel):
    c: Model
    d: Model2


@app.get("/", response_model=Model3)
def f():
    return {"c": {}, "d": {"a": {}}}


client = TestClient(app)


def test_get_api_route():

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: str = Query(default="fixedquery", min_length=3)):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="app",
    params=[
        "tutorial002_py39",
        "tutorial002_an_py39",
    ],
)
def get_app(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.request_files.{request.param}")

    return mod.app


@pytest.fixture(name="client")
def get_client(app: FastAPI):