# createPolicy($name, $filename) createPolicy () { NAME=$1 FILENAME=$2 # Create the name if it does not exist echo "Checking policy: $NAME (in /config/$FILENAME.json)" if ! checkPolicyExists $NAME ; then echo "Creating policy '$NAME'" else echo "Policy '$NAME' already exists." fi ${MC} admin policy add myminio $NAME /config/$FILENAME.json } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.policies...

    /**
     * Default constructor.
     */
    public ApiAdminBackupAction() {
        super();
    }

    /**
     * Retrieves a list of available backup files.
     *
     * @return JSON response with backup file list
     */
    // GET /api/admin/backup/files
    @Execute
    public JsonResponse<ApiResult> files() {
        final List<Map<String, String>> list = getBackupItems();

    FastAPI ist weiterhin in der Lage, die Daten nach JSON zu <abbr title="Konvertieren der Daten in ein übertragbares Format">serialisieren</abbr>.

7. Hier verwendet das `response_model` als Typannotation eine Liste von `Author`-Datenklassen.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

{* ../../docs_src/header_params/tutorial003.py hl[9] *}

다음과 같은 두 개의 HTTP 헤더를 전송하여 해당 *경로* 와 통신할 경우:

```
X-Token: foo
X-Token: bar
```

응답은 다음과 같습니다:

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

## 요약

`Header`는 `Query`, `Path`, `Cookie`와 동일한 패턴을 사용하여 선언합니다.

			contentType:  "text/plain",
			expectStatus: 206,
		},
		{
			name:         "Success 200 OK",
			statusCode:   200,
			body:         "full-object-data",
			contentType:  "application/json",
			expectStatus: 200,
		},
		{
			name:         "Client Error 400",
			statusCode:   400,
			body:         "bad-request",
			contentType:  "application/xml",
			expectStatus: 400,
		},
	}

		// as the peer might be coming up and trying to read format.json
		// or create format.json
		return true
	}

	storedDiskID, err := s.getStorage().GetDiskID()
	if err != nil {
		s.writeErrorResponse(w, err)
		return false
	}

	if diskID != storedDiskID {
		s.writeErrorResponse(w, errDiskStale)
		return false
	}

	// If format.json is available and request sent the right disk-id, we allow the request

**FastAPI** 直接提供了相同的 `WebSocket`，只是为了方便开发人员。但它直接来自 Starlette。

///

## 等待消息并发送消息

在您的 WebSocket 路由中，您可以使用 `await` 等待消息并发送消息。

{* ../../docs_src/websockets/tutorial001.py hl[48:52] *}

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下

如果您的文件名为 `main.py`，请使用以下命令运行应用程序：

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

                        .header("Authorization", "Bearer " + user.getAuthenticationResult().accessToken())
                        .header("Accept", "application/json")
                        .header("Content-type", "application/json")
                        .body("{\"securityEnabledOnly\":false}")
                        .execute()) {

	return formattedName
}

var (
	// https://github.com/golang/lint/blob/master/lint.go#L770
	commonInitialisms         = []string{"API", "ASCII", "CPU", "CSS", "DNS", "EOF", "GUID", "HTML", "HTTP", "HTTPS", "ID", "IP", "JSON", "LHS", "QPS", "RAM", "RHS", "RPC", "SLA", "SMTP", "SSH", "TLS", "TTL", "UID", "UI", "UUID", "URI", "URL", "UTF8", "VM", "XML", "XSRF", "XSS"}
	commonInitialismsReplacer *strings.Replacer
)

func init() {