package target

import (
	"context"
	"crypto/tls"
	"crypto/x509"
	"encoding/json"
	"errors"
	"fmt"
	"net/url"
	"os"
	"path/filepath"

	"github.com/google/uuid"
	"github.com/minio/minio/internal/event"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/minio/internal/once"
	"github.com/minio/minio/internal/store"
	xnet "github.com/minio/pkg/v3/net"

    private val buckets: Map<TestCoverage, List<BuildTypeBucket>> by lazy {
        val uuidToTestCoverage = model.stages.flatMap { it.functionalTests }.associateBy { it.uuid }
        val testCoverageAndBuckets: List<Map<String, Any>> = objectMapper.readValue(testBucketsJson.readText())
        testCoverageAndBuckets.associate { testCoverageAndBucket ->

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:

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:

import java.security.interfaces.ECPublicKey
import java.security.interfaces.RSAPrivateKey
import java.security.interfaces.RSAPublicKey
import java.security.spec.PKCS8EncodedKeySpec
import java.util.UUID
import java.util.concurrent.TimeUnit
import okhttp3.internal.canParseAsIpAddress
import okhttp3.tls.internal.der.AlgorithmIdentifier
import okhttp3.tls.internal.der.AttributeTypeAndValue

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package lifecycle

import (
	"encoding/xml"
	"fmt"
	"io"
	"net/http"
	"slices"
	"strings"
	"time"

	"github.com/google/uuid"
	"github.com/minio/minio/internal/bucket/object/lock"
	"github.com/minio/minio/internal/bucket/replication"
	xhttp "github.com/minio/minio/internal/http"
)

var (

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 :

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.

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_py310.py hl[5:6,20:21] *}

}

// 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"`
}