projectId = "Gradle_Check",
            branch = VersionedSettingsBranch("master"),
            buildScanTags = listOf("Check"),
            subprojects = JsonBasedGradleSubprojectProvider(File("../.teamcity/subprojects.json")),
        )

    @Test
    fun `create correct PerformanceTest build type for Linux`() {
        val performanceTest =
            PerformanceTest(
                buildModel,
                Stage(

4. Wait for 5 mins (as alert is configured to be firing after 5 mins), and verify that you see an entry in webhook for the alert as well as in Prometheus console as shown below

```json
{
  "receiver": "web\\.hook",
  "status": "firing",
  "alerts": [
    {
      "status": "firing",
      "labels": {
        "alertname": "MinIOClusterTolerance",
        "instance": "localhost:9000",

		return madmin.HealDeepScan
	}

	return madmin.HealNormalScan
}

type backgroundHealInfo struct {
	BitrotStartTime  time.Time           `json:"bitrotStartTime"`
	BitrotStartCycle uint64              `json:"bitrotStartCycle"`
	CurrentScanMode  madmin.HealScanMode `json:"currentScanMode"`
}

func readBackgroundHealInfo(ctx context.Context, objAPI ObjectLayer) backgroundHealInfo {
	if globalIsErasureSD {

        final String mimeType;
        if (response instanceof HtmlResponse) {
            mimeType = "text/html";
        } else if (response instanceof JsonResponse) {
            mimeType = "application/json";
        } else if (response instanceof XmlResponse) {
            mimeType = "text/xml";
        } else if (response instanceof StreamResponse) {
            mimeType = "application/octet-stream";
        } else {

6. Здесь мы возвращаем словарь, содержащий `items`, который является списком dataclass.

    FastAPI по-прежнему способен <dfn title="преобразование данных в формат, который можно передавать">сериализовать</dfn> данные в JSON.

7. Здесь `response_model` использует аннотацию типа — список dataclass `Author`.

    Снова, вы можете комбинировать `dataclasses` со стандартными аннотациями типов.

{* ../../docs_src/additional_status_codes/tutorial001_an_py310.py hl[4,25] *}

/// warning

上の例のように `Response` を直接返すと、それはそのまま返されます。

モデルなどによってシリアライズされません。

必要なデータが含まれていること、そして（`JSONResponse` を使用している場合）値が有効な JSON であることを確認してください。

///

/// note | 技術詳細

`from starlette.responses import JSONResponse` を使うこともできます。

/// danger | Uyarı

Bu "ileri seviye" bir özelliktir.

**FastAPI**'ye yeni başlıyorsanız bu bölümü atlamak isteyebilirsiniz.

///

## Kullanım senaryoları { #use-cases }

Bazı kullanım senaryoları:

* JSON olmayan request body'leri JSON'a dönüştürmek (örn. [`msgpack`](https://msgpack.org/index.html)).
* gzip ile sıkıştırılmış request body'leri açmak (decompress).
* Tüm request body'lerini otomatik olarak loglamak.

    /**
     * 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 <dfn title="Konvertieren der Daten in ein übertragbares Format">Serialisieren</dfn>.

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 <dfn title="converting the data to a format that can be transmitted">serializing</dfn> 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.