///

Die interaktive API-Dokumentation wird entsprechend aktualisiert und erlaubt jetzt mehrere Werte.

<img src="/img/tutorial/query-params-str-validations/image02.png">

### Query-Parameter-Liste / Mehrere Werte mit Defaults

Und Sie können auch eine Default-`list`e von Werten definieren, wenn keine übergeben werden:

//// tab | Python 3.9+

* Schedule even if extender is not available when using extender  ([#61445](https://github.com/kubernetes/kubernetes/pull/61445), [@resouer](https://github.com/resouer))
* Fix panic create/update CRD when mutating/validating webhook configured. ([#61404](https://github.com/kubernetes/kubernetes/pull/61404), [@hzxuzhonghu](https://github.com/hzxuzhonghu))

    - [Promoted CSI Ephemeral Volume to Stable](#promoted-csi-ephemeral-volume-to-stable)
    - [Promoted CRD Validation Expression Language to Beta](#promoted-crd-validation-expression-language-to-beta)
    - [Promoted Server Side Unknown Field Validation to Beta](#promoted-server-side-unknown-field-validation-to-beta)
    - [Introduced KMS v2](#introduced-kms-v2)

# Body - Fields

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field`

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

Mais, **tout fonctionne** par défaut.

### Validation

* Validation pour la plupart (ou tous?) les **types de données** Python incluant:
    * objets JSON (`dict`).
    * listes JSON (`list`) définissant des types d'éléments.
    * Champs String (`str`), définition de longueur minimum ou maximale.
    * Nombres (`int`, `float`) avec valeur minimale and maximale, etc.

* Validation pour des types plus exotiques, tel que:
    * URL.

        Doc(
            """
            'Whitelist' validation step. The parameter field will be the single one
            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the

*   Fixes a missing validation which causes `TensorSummaryV2` to crash ([CVE-2022-29193](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29193))
*   Fixes a missing validation which crashes `QuantizeAndDequantizeV4Grad` ([CVE-2022-29192](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29192))

                This affects the generated OpenAPI (e.g. visible at `/docs`).

                Read more about it in the
                [FastAPI docs for Query Parameters and String Validations](https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#exclude-from-openapi).
                """
            ),
        ] = True,
        generate_unique_id_function: Annotated[
            Callable[[APIRoute], str],

    }
}
```

Again, doing just that declaration, with **FastAPI** you get:

* Editor support (completion, etc.), even for nested models
* Data conversion
* Data validation
* Automatic documentation

## Special types and validation

Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.