["/required-str", "/model-required-str"],
)
def test_required_str_missing(path: str):
    client = TestClient(app)
    response = client.get(path)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["query", "p"],
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }

І ви можете зробити це, навіть якщо тип даних у запиті - не JSON.

Наприклад, у цьому застосунку ми не використовуємо вбудовану функціональність FastAPI для отримання Схеми JSON з моделей Pydantic і не використовуємо автоматичну валідацію для JSON. Насправді ми оголошуємо тип вмісту запиту як YAML, а не JSON:

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

    response = client_default.post("/items/", json={"key": "value"})
    assert response.status_code == 200
    assert response.json() == {"key": "value"}


def test_lax_accepts_no_content_type():
    response = client_lax.post("/items/", content='{"key": "value"}')
    assert response.status_code == 200
    assert response.json() == {"key": "value"}


def test_lax_accepts_json_content_type():

def test_post_body_valid(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "importance": 2,
            "item": {"name": "Foo", "price": 50.5},
            "user": {"username": "Dave"},
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 5,
        "importance": 2,
        "item": {
            "name": "Foo",

def test_call_invalid():
    response = client.post("/", json={"foo": {"bar": "baz"}})
    assert response.status_code == 422


def test_call_valid():
    response = client.post("/", json={})
    assert response.status_code == 200
    assert response.json() == {}


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

    assert response.status_code == 200, response.text
    assert response.json() == {"cls": "A"}

    response = client.get("/b")
    assert response.status_code == 200, response.text
    assert response.json() == {"cls": "B"}


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == snapshot(
        {

Örneğin, yukarıdaki model şu şekilde bir JSON "`object`" (veya Python `dict`) tanımlar:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...`description` ve `tax` opsiyonel olduğu için (default değerleri `None`), şu JSON "`object`" da geçerli olur:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

**FastAPI** prendra le modèle Pydantic à partir de là, générera le `JSON Schema` et le placera au bon endroit.

Le bon endroit est :

* Dans la clé `content`, qui a pour valeur un autre objet JSON (`dict`) qui contient :
    * Une clé avec le type de support, par ex. `application/json`, qui contient comme valeur un autre objet JSON, qui contient :
        * Une clé `schema`, qui a pour valeur le schéma JSON du modèle, voici le bon endroit.

    assert response.json() == {"file_size": None}


@pytest.mark.parametrize(
    "path",
    [
        "/optional-bytes",
        "/optional-uploadfile",
    ],
)
def test_optional(path: str):
    client = TestClient(app)
    response = client.post(path, files=[("p", b"hello")])
    assert response.status_code == 200
    assert response.json() == {"file_size": 5}

    ["/required-str", "/model-required-str"],
)
def test_required_str_missing(path: str):
    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "p"],
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }