val body = response.body ?: return
    sleepNanos(response.bodyDelayNanos)
    val responseBodySink =
      sink.withThrottlingAndSocketPolicy(
        policy = response,
        disconnectHalfway = response.socketPolicy == DisconnectDuringResponseBody,
        expectedByteCount = body.contentLength,
        socket = socket,
      ).buffer()
    body.writeTo(responseBodySink)

					resCh = nil
					returned = true
				}
				continue
			}
			results.o = append(results.o, entry)
		}
		if resCh != nil {
			resErr = io.EOF
			select {
			case <-ctx.Done():
				// Nobody wants it.
			case resCh <- results:
			}
		}
	}()
	return func() (metaCacheEntriesSorted, error) {
		select {
		case <-ctx.Done():
			mu.Lock()
			done = true
			mu.Unlock()

			return err
		}
	}

	return nil
}

func validateConfig(ctx context.Context, s config.Config, subSys string) error {
	objAPI := newObjectLayerFn()

	// We must have a global lock for this so nobody else modifies env while we do.
	defer env.LockSetEnv()()

	// Disable merging env values with config for validation.
	env.SetEnvOff()

	// Enable env values to validate KMS.
	defer env.SetEnvOn()

			done = globalScannerMetrics.time(scannerMetricTierObjSweep)
			globalExpiryState.enqueueFreeVersion(oi)
			done()
		}

		// These are rather expensive. Skip if nobody listens.
		if globalTrace.NumSubscribers(madmin.TraceScanner) > 0 {
			if len(fivs.FreeVersions) > 0 {
				res["free-versions"] = strconv.Itoa(len(fivs.FreeVersions))
			}

			if sizeS.versions > 0 {

## Без Pydantic

<img src="/img/tutorial/body/image01.png">

そして、それらが使われる *パスオペレーション* のそれぞれのAPIドキュメントにも表示されます:

<img src="/img/tutorial/body/image02.png">

## エディターサポート

エディターによる型ヒントと補完が関数内で利用できます (Pydanticモデルではなく `dict` を受け取ると、同じサポートは受けられません):

<img src="/img/tutorial/body/image03.png">

型によるエラーチェックも可能です:

<img src="/img/tutorial/body/image04.png">

これは偶然ではなく、このデザインに基づいてフレームワークが作られています。

```Python hl_lines="4"
{!../../../docs_src/body/tutorial001.py!}
```

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

```Python hl_lines="7-11"
{!../../../docs_src/body/tutorial001.py!}
```

<img src="/img/tutorial/body/image01.png">

이를 필요로 하는 각각의 *경로 작동*내부의 API 문서에도 사용됩니다:

<img src="/img/tutorial/body/image02.png">

## 편집기 지원

편집기에서, 함수 내에서 타입 힌트와 완성을 어디서나 (만약 Pydantic model 대신에 `dict`을 받을 경우 나타나지 않을 수 있습니다) 받을 수 있습니다:

<img src="/img/tutorial/body/image03.png">

잘못된 타입 연산에 대한 에러 확인도 받을 수 있습니다:

<img src="/img/tutorial/body/image04.png">

# Request Body

When you need to send data from a client (let's say, a browser) to your API, you send it as a **request body**.

A **request** body is data sent by the client to your API. A **response** body is the data your API sends to the client.

Your API almost always has to send a **response** body. But clients don't necessarily need to send **request** bodies all the time.

## Ohne Pydantic