* 중첩 모델도 편집기 지원(자동완성 등)
* 데이터 변환
* 데이터 검증
* 자동 문서화

## 특별한 타입과 검증

`str`, `int`, `float` 등과 같은 단일 타입과는 별개로, `str`을 상속하는 더 복잡한 단일 타입을 사용할 수 있습니다.

모든 옵션을 보려면, <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic's exotic types</a> 문서를 확인하세요. 다음 장에서 몇가지 예제를 볼 수 있습니다.

예를 들어 `Image` 모델 안에 `url` 필드를 `str` 대신 Pydantic의 `HttpUrl`로 선언할 수 있습니다:

{* ../../docs_src/openapi_callbacks/tutorial001_py310.py hl[7:11,34:51] *}

/// tip | Dica

O parâmetro de consulta `callback_url` usa um tipo Pydantic <a href="https://docs.pydantic.dev/latest/api/networks/" class="external-link" target="_blank">Url</a>.

///

A única novidade é o `callbacks=invoices_callback_router.routes` como argumento do decorador da *operação de rota*. Veremos o que é isso a seguir.

		}
	}
	return extractedSignedHeaders, ErrNone
}

// Trim leading and trailing spaces and replace sequential spaces with one space, following Trimall()
// in http://docs.aws.amazon.com/general/latest/gr/sigv4-create-canonical-request.html
func signV4TrimAll(input string) string {
	// Compress adjacent spaces (a space is determined by
	// unicode.IsSpace() internally here) to one space and return

            ArtifactRepository localRepository)
            throws RepositoryMetadataStoreException {
        // TODO currently this is first wins, but really we should take the latest by comparing either the
        // snapshot timestamp, or some other timestamp later encoded into the metadata.
        // TODO this needs to be repeated here so the merging doesn't interfere with the written metadata

      <version>1.0.0+</version>
      <description>Versioning information for "groupId/artifactId" or "groupId/artifactId/version" SNAPSHOT</description>
      <fields>
        <field>
          <name>latest</name>
          <version>1.0.0+</version>
          <type>String</type>

//// tab | Pydantic v2

В Pydantic версии 2 вы будете использовать атрибут `model_config`, который принимает `dict`, как описано в <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Документации Pydantic: Конфигурация</a>.

* 对被嵌入的模型也适用的编辑器支持（自动补全等）
* 数据转换
* 数据校验
* 自动生成文档

## 特殊的类型和校验

除了普通的单一值类型（如 `str`、`int`、`float` 等）外，你还可以使用从 `str` 继承的更复杂的单一值类型。

要了解所有的可用选项，请查看关于 <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">来自 Pydantic 的外部类型</a> 的文档。你将在下一章节中看到一些示例。

例如，在 `Image` 模型中我们有一个 `url` 字段，我们可以把它声明为 Pydantic 的 `HttpUrl`，而不是 `str`：

type DecryptRequest struct {
	// Name is the name of the master key used decrypt
	// the ciphertext.
	Name string

	// Version is the version of the master used for
	// decryption. If empty, the latest key version
	// is used.
	Version int

	// Ciphertext is the encrypted data that gets
	// decrypted.
	Ciphertext []byte

	// AssociatedData is the crypto. associated data.

Ce qu'il faut retenir c'est qu'en utilisant les types standard de Python, à un seul endroit (plutôt que d'ajouter plus de classes, de décorateurs, etc.), **FastAPI** fera une grande partie du travail pour vous.

/// info

Если вы планируете использовать алгоритмы цифровой подписи, такие как RSA или ECDSA, вам следует установить зависимость библиотеки криптографии `pyjwt[crypto]`.

Подробнее об этом можно прочитать в <a href="https://pyjwt.readthedocs.io/en/latest/installation.html" class="external-link" target="_blank">документации по установке PyJWT</a>.
///

## Хеширование паролей { #password-hashing }