"age": "70",
            "tags": ["plumbus", "citadel"],
            "with": "something",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "Rick",
        "lastname": "Sanchez",
        "age": 70,
        "tags": ["plumbus", "citadel"],
        "with": "something",
    }


def test_defaults():

    app.post("/endpoint2")(passthrough(passthrough(forwardref_method)))
    with client:
        response = client.post("/endpoint", json={"input": {"x": 0}})
        response2 = client.post("/endpoint2", json={"input": {"x": 0}})

И вы можете сделать это, даже если тип данных в запросе — не JSON.

Например, в этом приложении мы не используем встроенную функциональность FastAPI для извлечения JSON Schema из моделей Pydantic, равно как и автоматическую валидацию JSON. Мы объявляем тип содержимого запроса как YAML, а не JSON:

//// tab | Pydantic v2

    response = client.get(f"/items/{item_id}")
    assert response.status_code == 200, response.text
    assert response.json() == expected_response


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"},
        "paths": {

///

## Über „Formularfelder“ { #about-form-fields }

HTML-Formulare (`<form></form>`) senden die Daten in einer „speziellen“ Kodierung zum Server, die sich von JSON unterscheidet.

**FastAPI** stellt sicher, dass diese Daten korrekt ausgelesen werden, statt JSON zu erwarten.

/// note | Technische Details

Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc.

#### OpenAPI et JSON Schema

**OpenAPI** définit un schéma d'API pour votre API. Il inclut des définitions (ou "schémas") de la donnée envoyée et reçue par votre API en utilisant **JSON Schema**, le standard des schémas de données JSON.

#### Allez voir `openapi.json`

        "/items/123",
        json={
            "name": "Foo",
            "description": "A very nice Item",
            "price": 35.4,
            "tax": 3.2,
            "tags": ["foo", "bar", "foo"],
            "image": {"url": "http://example.com/image.png", "name": "example image"},
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "item_id": 123,

        assert response.json() == [{"name": "Foo"}]
    with open("log.txt") as log:
        assert "Application shutdown" in log.read()


def test_openapi_schema(app: FastAPI):
    with TestClient(app) as client:
        response = client.get("/openapi.json")
        assert response.status_code == 200, response.text
        assert response.json() == {
            "openapi": "3.1.0",

    response = client.post("/form/", data={"username": "Rick"})
    assert response.status_code == 200, response.text
    assert response.json() == "Rick"


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"},
        "paths": {
            "/form/": {

        assert response.status_code == 200, response.text
        assert response.json() == {"result": 84.0}
    assert not ml_models, "ml_models should be empty"


def test_openapi_schema():
    with TestClient(app) as client:
        response = client.get("/openapi.json")
        assert response.status_code == 200, response.text
        assert response.json() == {
            "openapi": "3.1.0",