Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles avec JSON.

Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse :

 * </ul>
 *
 * <p>This interface is designed to be extended by specific request types that handle
 * different Maven operations. All implementations must be immutable to ensure thread safety
 * and predictable behavior in concurrent environments.
 *
 * @param <S> the type of ProtoSession associated with this request, allowing for
 *           type-safe session handling in specific request implementations
 *
 * @see ProtoSession

```console
$ mkdocs serve --dev-addr 127.0.0.1:8008
```

///

#### Typer CLI (optional)

The instructions here show you how to use the script at `./scripts/docs.py` with the `python` program directly.

But you can also use <a href="https://typer.tiangolo.com/typer-cli/" class="external-link" target="_blank">Typer CLI</a>, and you will get autocompletion in your terminal for the commands after installing completion.

When defining a <a href="https://docs.pydantic.dev/latest/concepts/types/#unions" class="external-link" target="_blank">`Union`</a>, include the most specific type first, followed by the less specific type. In the example below, the more specific `PlaneItem` comes before `CarItem` in `Union[PlaneItem, CarItem]`.

///

{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}

### `Union` in Python 3.10 { #union-in-python-3-10 }

    protected final BeanDesc beanDesc;

    /** Constructor */
    protected final Constructor<?> constructor;

    /** Array of constructor parameter types */
    protected final Class<?>[] parameterTypes;

    /** Information about parameterized argument types */
    protected final ParameterizedClassDesc[] parameterizedClassDescs;

    /**
     * Constructs an instance.
     *
     * @param beanDesc

      }
    }
  }

  private Type getOnlyParameterType() {
    assertThat(method.getGenericParameterTypes()).hasLength(1);
    return method.getGenericParameterTypes()[0];
  }

  @SuppressWarnings({"rawtypes", "unchecked"})
  private static Type getSupertype(Type type, Class<?> superclass) {
    Class rawType = superclass;
    return TypeToken.of(type).getSupertype(rawType).getType();
  }

///

## Использовать `Annotated` в типе для параметра `q` { #use-annotated-in-the-type-for-the-q-parameter }

Помните, я уже говорил, что `Annotated` можно использовать для добавления метаданных к параметрам в разделе [Введение в типы Python](../python-types.md#type-hints-with-metadata-annotations){.internal-link target=_blank}?

Пришло время использовать его с FastAPI. 🚀

import jakarta.validation.ConstraintValidator;
import jakarta.validation.ConstraintValidatorContext;

/**
 * Validator implementation for URI type constraints.
 * This validator checks URI strings against specified protocol types.
 */
public class UriTypeValidator implements ConstraintValidator<UriType, String> {

    /**
     * Default constructor for UriTypeValidator.
     */

     *
     * @param type
     *            the type
     * @param map
     *            a {@link Map} with type variables as keys and type arguments as values for the parameterized type
     * @return a {@link ParameterizedClassDesc} representing the type
     */
    protected static ParameterizedClassDesc createParameterizedClassDesc(final Type type, final Map<TypeVariable<?>, Type> map) {

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Ihr Datenmodell erstellen { #create-your-data-model }

Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.

Verwenden Sie Standard-Python-Typen für alle Attribute:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}