/// info | Informação

Observe que o `TestClient` recebe dados que podem ser convertidos para JSON, não para modelos Pydantic.

Dat betekent dat **elke waarde** die in Python uit een omgevingsvariabele wordt gelezen **een `str` zal zijn** en dat elke conversie naar een ander type of elke validatie in de code moet worden uitgevoerd.

    /**
     * Creates an EditBody from a StemmerOverrideItem entity for API responses.
     *
     * @param entity the StemmerOverrideItem entity to convert
     * @param dictId the dictionary ID
     * @return the converted EditBody object
     */
    protected EditBody createEditBody(final StemmerOverrideItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();

    }

    /**
     * Registers a data store instance with the factory using the specified name.
     * The data store will be accessible by both the provided name and its class simple name,
     * both converted to lowercase for case-insensitive lookup.
     *
     * @param name the name to register the data store under, must not be null
     * @param dataStore the data store instance to register, must not be null

/// info

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

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[19:36,39:40] *}

Nesse exemplo, nós não declaramos nenhum modelo do Pydantic. Na verdade, o corpo da requisição não está nem mesmo <abbr title="convertido de um formato plano, como bytes, para objetos Python">analisado</abbr> como JSON, ele é lido diretamente como `bytes` e a função `magic_data_reader()` seria a responsável por analisar ele de alguma forma.

    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of output data: converting from Python data and types to network data (as JSON):
    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.

Vous pouvez aussi retourner des models **Pydantic** (qui seront détaillés plus tard).

Il y a de nombreux autres objets et modèles qui seront automatiquement convertis en JSON. Essayez d'utiliser vos favoris, il est fort probable qu'ils soient déjà supportés.

## Récapitulatif

* Importez `FastAPI`.
* Créez une instance d'`app`.

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[19:36, 39:40] *}

En este ejemplo, no declaramos ningún modelo Pydantic. De hecho, el cuerpo del request ni siquiera se <abbr title="converted from some plain format, like bytes, into Python objects">parse</abbr> como JSON, se lee directamente como `bytes`, y la función `magic_data_reader()` sería la encargada de parsearlo de alguna manera.

    }

    /**
     * Creates an EditBody from a ScheduledJob entity.
     *
     * @param entity the scheduled job entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final ScheduledJob entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));