.put(OptionalInt.class, OptionalInt.empty())
          .put(OptionalLong.class, OptionalLong.empty())
          .put(OptionalDouble.class, OptionalDouble.empty())
          .put(UUID.class, UUID.randomUUID())
          // common.base
          .put(CharMatcher.class, CharMatcher.none())
          .put(Joiner.class, Joiner.on(','))
          .put(Splitter.class, Splitter.on(','))

Por ejemplo, no puedes poner un modelo de Pydantic en un `JSONResponse` sin primero convertirlo a un `dict` con todos los tipos de datos (como `datetime`, `UUID`, etc.) convertidos a tipos compatibles con JSON.

Para esos casos, puedes usar el `jsonable_encoder` para convertir tus datos antes de pasarlos a un response:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

Sie können beispielsweise kein Pydantic-Modell in eine `JSONResponse` einfügen, ohne es zuvor in ein `dict` zu konvertieren, bei dem alle Datentypen (wie `datetime`, `UUID`, usw.) in JSON-kompatible Typen konvertiert wurden.

In diesen Fällen können Sie den `jsonable_encoder` verwenden, um Ihre Daten zu konvertieren, bevor Sie sie an eine Response übergeben:

								Inline []byte `json:"x-minio-internal-inline-data"`
							}
						}
					}
					var ei erasureInfo
					if err := json.Unmarshal(buf.Bytes(), &ei); err == nil && ei.V2Obj != nil {
						verID := uuid.UUID(header.VersionID).String()
						if verID == "00000000-0000-0000-0000-000000000000" {
							// If the version ID is all zeros, use the signature as version ID.
							verID = fmt.Sprintf("null/%08x", header.Signature)

			uploadIDPath := pathJoin(shaDir, uploadIDDir)
			var modTime time.Time
			// Upload IDs are of the form base64_url(<UUID>x<UnixNano>), we can extract the time from the UUID.
			if b64, err := base64.RawURLEncoding.DecodeString(uploadIDDir); err == nil {
				if split := strings.Split(string(b64), "x"); len(split) == 2 {
					t, err := strconv.ParseInt(split[1], 10, 64)

import (
	"context"
	"encoding/binary"
	"errors"
	"fmt"
	"hash/crc32"
	"math/rand"
	"net/http"
	"reflect"
	"strings"
	"sync"
	"time"

	"github.com/dchest/siphash"
	"github.com/google/uuid"
	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio-go/v7/pkg/set"
	"github.com/minio/minio-go/v7/pkg/tags"
	"github.com/minio/minio/internal/dsync"
	"github.com/minio/minio/internal/logger"

For example, you cannot put a Pydantic model in a `JSONResponse` without first converting it to a `dict` with all the data types (like `datetime`, `UUID`, etc) converted to JSON-compatible types.

For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

}

// rebalanceAdminStatus holds rebalance status related information exported to mc, console, etc.
type rebalanceAdminStatus struct {
	ID        string                // identifies the ongoing rebalance operation by a uuid
	Pools     []rebalancePoolStatus `json:"pools"` // contains all pools, including inactive
	StoppedAt time.Time             `json:"stoppedAt"`
}

그리고 지금까지와 같은 기능들을 여전히 사용할 수 있습니다.

* 훌륭한 편집기 지원.
* 들어오는 요청의 데이터 변환.
* 응답 데이터의 데이터 변환.
* 데이터 검증.
* 자동 어노테이션과 문서화.

## 다른 데이터 자료형

아래의 추가적인 데이터 자료형을 사용할 수 있습니다:

* `UUID`:
    * 표준 "범용 고유 식별자"로, 많은 데이터베이스와 시스템에서 ID로 사용됩니다.
    * 요청과 응답에서 `str`로 표현됩니다.
* `datetime.datetime`:
    * 파이썬의 `datetime.datetime`.
    * 요청과 응답에서 `2008-09-15T15:53:00+05:00`와 같은 ISO 8601 형식의 `str`로 표현됩니다.

Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles avec JSON.

Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse :