///

### JSON Schemas Feld `examples` { #json-schemas-examples-field }

Aber dann fügte JSON Schema ein <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a>-Feld zu einer neuen Version der Spezifikation hinzu.

        "/list-bytes",
        "/list-uploadfile",
    ],
)
def test_list_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": None,
            }
        ]

    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}})

        headers.put("CONTENT-LENGTH", Arrays.asList("100"));
        headers.put("accept-encoding", Arrays.asList("gzip"));
        response.setHeaders(headers);

        // All header access should be case-insensitive
        assertEquals("application/json", response.getHeaderValue("content-type"));
        assertEquals("application/json", response.getHeaderValue("CONTENT-TYPE"));

        return foo

    client = TestClient(app)

    response = client.post("/", json="bar")
    assert response.status_code == 200, response.text
    assert response.json() == "bar"

    response2 = client.post("/", json=[1, 2])
    assert response2.status_code == 200, response2.text
    assert response2.json() == [1, 2]


def test_propagates_pydantic2_model_config():
    app = FastAPI()

                    var result = [];
                    changeElements.each((idx, val) => result.push(JSON.parse(val.textContent)));
                    return result;
                }

                function appendErrorCorrections(reason) {
                    var result = JSON.parse('${currentApiChanges.replace('\n', '')}'); // JSON string from report uses double quotes, contain it within single quotes

)

// NSQArgs - NSQ target arguments.
type NSQArgs struct {
	Enable      bool      `json:"enable"`
	NSQDAddress xnet.Host `json:"nsqdAddress"`
	Topic       string    `json:"topic"`
	TLS         struct {
		Enable     bool `json:"enable"`
		SkipVerify bool `json:"skipVerify"`
	} `json:"tls"`
	QueueDir   string `json:"queueDir"`
	QueueLimit uint64 `json:"queueLimit"`
}

// Validate NSQArgs fields
func (n NSQArgs) Validate() error {

Mit demselben Trick könnten Sie ein Pydantic-Modell verwenden, um das JSON-Schema zu definieren, das dann im benutzerdefinierten Abschnitt des OpenAPI-Schemas für die *Pfadoperation* enthalten ist.

Und Sie könnten dies auch tun, wenn der Datentyp im Request nicht JSON ist.

Et vous pouvez le faire même si le type de données dans la requête n'est pas au format JSON.

Dans cet exemple, nous n'utilisons pas les fonctionnalités de FastAPI pour extraire le schéma JSON des modèles Pydantic ni la validation automatique pour JSON. En fait, nous déclarons le type de contenu de la requête en tant que YAML, et non JSON :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[17:22,24] *}

    assert response.json() == [{"name": "Foo"}]


def test_get_openapi_json_default_url():
    response = client.get("/openapi.json")
    assert response.status_code == 404, response.text


def test_openapi_schema():
    response = client.get("/api/v1/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {