Sie können Beispiele für die Daten deklarieren, die Ihre App empfangen kann.

Hier sind mehrere Möglichkeiten, das zu tun.

## Zusätzliche JSON-Schemadaten in Pydantic-Modellen { #extra-json-schema-data-in-pydantic-models }

Sie können `examples` („Beispiele“) für ein Pydantic-Modell deklarieren, welche dem generierten JSON-Schema hinzugefügt werden.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

    hashed_password = user_dict["hashed_password"],
)
```

/// info | Дополнительная информация
Более полное объяснение `**user_dict` можно найти в [документации к **Дополнительным моделям**](../extra-models.md#about-user-in-dict){.internal-link target=_blank}.
///

## Возврат токена { #return-the-token }

Ответ операции пути `/token` должен быть объектом JSON.

├── request/
│   ├── suggest/               # Suggestion queries
│   └── popularwords/          # Popular word queries
├── settings/                   # Configuration management
├── entity/                     # Domain models (SuggestItem, etc.)
├── normalizer/                 # Text normalizers
├── converter/                  # Reading converters (katakana, romaji)
├── concurrent/                 # Async patterns (Deferred/Promise)

/// info

Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}.

        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

...but, you can have separated models using Pydantic v1 and v2 in the same app.

```mermaid
graph TB
    subgraph "✅ Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V2Field["Pydantic v2 Model"]
        end

        assertTrue(exception.getMessage().contains("DISK_FULL"));
        assertTrue(exception.getMessage().contains("Disk full"));
    }

    @Test
    @DisplayName("Should have correct retryable flags for error codes")
    void testErrorCodeRetryableFlags() {
        // Retryable errors
        assertTrue(SmbOperationException.ErrorCode.CONNECTION_FAILED.isRetryable());

    }

    /**
     * Gets the artifacts that make up the plugin's class realm, excluding artifacts shadowed by the Maven core realm
     * like {@code maven-project}.
     *
     * @return The plugin artifacts, never {@code null}.
     */
    public List<Artifact> getArtifacts() {
        return artifacts;
    }

    public void setArtifacts(List<Artifact> artifacts) {

Le `@app.get("/")` dit à **FastAPI** que la fonction en dessous est chargée de gérer les requêtes qui vont sur :

* le chemin `/`
* en utilisant une <abbr title="une méthode GET HTTP">opération <code>get</code></abbr>

/// info | `@décorateur` Info

Cette syntaxe `@something` en Python est appelée un "décorateur".

Você já pode experimentar na documentação interativa:

<img src="/img/tutorial/security/image03.png">

Ainda não estamos verificando a validade do token, mas isso já é um começo.

## Recapitulando { #recap }

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):