Этого можно добиться, используя <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">`AfterValidator` Pydantic</a> внутри `Annotated`.

/// tip | Совет

В Pydantic также есть <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> и другие. 🤓

E essas duas coisas, `scope` e `receive`, são o que é necessário para criar uma nova instância de `Request`.

Para aprender mais sobre o `Request` confira a <a href="https://www.starlette.dev/requests/" class="external-link" target="_blank">documentação do Starlette sobre Requests</a>.

///

//       tags:
//         - key: "name"
//           value: "value*"
//       metadata:
//         - key: "content-type"
//           value: "image/*"
//     notify:
//       endpoint: "https://splunk-hec.dev.com"
//       token: "Splunk ..." # e.g. "Bearer token"
//
//   # target where the objects must be replicated
//   target:
//     type: "minio"
//     bucket: "testbucket1"
//     endpoint: "https://play.min.io"

# Testing { #testing }

Thanks to <a href="https://www.starlette.dev/testclient/" class="external-link" target="_blank">Starlette</a>, testing **FastAPI** applications is easy and enjoyable.

It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive.

# Тестування

Тестування **FastAPI**  додатків є простим та ефективним завдяки бібліотеці <a href="https://www.starlette.dev/testclient/" class="external-link" target="_blank">Starlette</a>, яка базується на <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>.
Оскільки HTTPX розроблений на основі Requests, його API є інтуїтивно зрозумілим для тих, хто вже знайомий з Requests.

## Guia oficial { #official-guide }

O Pydantic tem um <a href="https://docs.pydantic.dev/latest/migration/" class="external-link" target="_blank">Guia de Migração</a> oficial do v1 para o v2.

Ele também inclui o que mudou, como as validações agora são mais corretas e rigorosas, possíveis ressalvas, etc.

package event

import (
	"encoding/json"
	"encoding/xml"
)

// Name - event type enum.
// Refer http://docs.aws.amazon.com/AmazonS3/latest/dev/NotificationHowTo.html#notification-how-to-event-types-and-destinations
// for most basic values we have since extend this and its not really much applicable other than a reference point.

Pydantic 버전 2에서 <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic 공식 문서: Model Config</a>에 나와 있는 것처럼 `dict`를 받는 `model_config` 어트리뷰트를 사용할 것입니다.

`"json_schema_extra"`를 생성된 JSON 스키마에서 보여주고 싶은 별도의 데이터와 `examples`를 포함하는 `dict`으로 설정할 수 있습니다.

////

//// tab | Pydantic v1

## Официальное руководство { #official-guide }

У Pydantic есть официальное <a href="https://docs.pydantic.dev/latest/migration/" class="external-link" target="_blank">руководство по миграции</a> с v1 на v2.

Там также описано, что изменилось, как валидации стали более корректными и строгими, возможные нюансы и т.д.

	// Lifecycle configuration file.
	bucketLifecycleConfig = "lifecycle.xml"
)

// PutBucketLifecycleHandler - This HTTP handler stores given bucket lifecycle configuration as per
// https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html
func (api objectAPIHandlers) PutBucketLifecycleHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "PutBucketLifecycle")