* Validate **các cấu trúc phức tạp**:
    * Sử dụng các models Pydantic phân tầng, `List` và `Dict` của Python `typing`,...
    * Và các validators cho phép các cấu trúc dữ liệu phức tạp trở nên rõ ràng và dễ dàng để định nghĩa, kiểm tra và tài liệu hóa thành JSON Schema.
    * Bạn có thể có các object **JSON lồng nhau** và tất cả chúng đã validate và annotated.

    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

- Vendor: updated system-validators to v1.9.0. ([#128149](https://github.com/kubernetes/kubernetes/pull/128149), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle and Node]
- Vendor: updated system-validators to v1.9.1. ([#128533](https://github.com/kubernetes/kubernetes/pull/128533), [@neolit123](https://github.com/neolit123))

La documentation le présentera comme il suit :

<img src="/img/tutorial/query-params-str-validations/image01.png">

## Pour résumer

Il est possible d'ajouter des validateurs et métadonnées pour vos paramètres.

Validateurs et métadonnées génériques:

* `alias`
* `title`
* `description`
* `deprecated`

Validateurs spécifiques aux chaînes de caractères :

* `min_length`
* `max_length`
* `regex`

## Recapitulando

Com `Query`, `Path` (e outras que você ainda não viu) você pode declarar metadados e validações de texto do mesmo modo que com [Parâmetros de consulta e validações de texto](query-params-str-validations.md){.internal-link target=_blank}.

E você também pode declarar validações numéricas:

* `gt`: maior que (`g`reater `t`han)
* `ge`: maior que ou igual (`g`reater than or `e`qual)

Na documentação aparecerá assim:

<img src="/img/tutorial/query-params-str-validations/image01.png">

## Recapitulando

Você pode adicionar validações e metadados adicionais aos seus parâmetros.

Validações genéricas e metadados:

* `alias`
* `title`
* `description`
* `deprecated`

Validações específicas para textos:

* `min_length`
* `max_length`
* `regex`

- Update the system-validators library to v1.8.0 ([#114060](https://github.com/kubernetes/kubernetes/pull/114060), [@pacoxu](https://github.com/pacoxu)) [SIG Cluster Lifecycle]

- Turn on CSIMigrationAzureDisk by default on 1.23 ([#104670](https://github.com/kubernetes/kubernetes/pull/104670), [@andyzhangx](https://github.com/andyzhangx))
- Update the system-validators library to v1.6.0 ([#106323](https://github.com/kubernetes/kubernetes/pull/106323), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle and Node]

- Update the setcap image to buster-v2.0.1. ([#102377](https://github.com/kubernetes/kubernetes/pull/102377), [@xmudrii](https://github.com/xmudrii))
- Update the system-validators library to v1.5.0. Includes validation for `seccomp` and fixes a stdout/stderr problem in the Docker validator. ([#103390](https://github.com/kubernetes/kubernetes/pull/103390), [@ironyman](https://github.com/ironyman))
- Updates the following images to pick up CVE fixes:

# Path Parameters and Numeric Validations { #path-parameters-and-numeric-validations }

In the same way that you can declare more validations and metadata for query parameters with `Query`, you can declare the same type of validations and metadata for path parameters with `Path`.

## Import Path { #import-path }

First, import `Path` from `fastapi`, and import `Annotated`:

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}