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

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import com.google.gson.Gson
import com.google.gson.Strictness
import com.google.gson.reflect.TypeToken
import com.google.gson.stream.JsonReader
import gradlebuild.basics.bundleGroovyMajor
import gradlebuild.basics.repoRoot
import gradlebuild.modules.extension.ExternalModulesExtension

    assert response.status_code == 200, response.text
    assert response.json() == {"scheme": "Other", "credentials": "foobar"}


def test_security_http_base_no_credentials():
    response = client.get("/users/me")
    assert response.status_code == 401, response.text
    assert response.json() == {"detail": "Not authenticated"}
    assert response.headers["WWW-Authenticate"] == "Other"

)

// 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 {

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

У цьому прикладі вона конвертує Pydantic model у `dict`, а `datetime` у `str`.

Результат виклику цієї функції - це щось, що можна кодувати з використанням стандарту Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

	if !ok {
		other = &Record{}
	}
	other.object = r.object
	return other
}

// CloneTo clones the record to a json Record.
// Values are only unmashaled on object level.
func (r *Record) CloneTo(dst *json.Record) (sql.Record, error) {
	if dst == nil {
		dst = &json.Record{SelectFormat: sql.SelectFmtJSON}
	}
	dst.Reset()
	elems, err := r.object.Parse(nil)
	if err != nil {
		return nil, err
	}

        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",

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] *}

    response = client.post("/pet/assignment", json={"pet_type": "cat", "meows": 5})
    assert response.status_code == 200, response.text
    assert response.json() == {"pet_type": "cat", "meows": 5}


def test_union_body_discriminator_annotated(client: TestClient) -> None:
    response = client.post("/pet/annotated", json={"pet_type": "dog", "barks": 3.5})
    assert response.status_code == 200, response.text