"github.com/minio/pkg/v3/env"
)

// Config represents the compression settings.
type Config struct {
	Enabled        bool     `json:"enabled"`
	AllowEncrypted bool     `json:"allow_encryption"`
	Extensions     []string `json:"extensions"`
	MimeTypes      []string `json:"mime-types"`
}

// Compression environment variables
const (
	Extensions     = "extensions"
	AllowEncrypted = "allow_encryption"

	localCh := make(chan event.Event, globalAPIConfig.getRequestsPoolCapacity())

	// Convert local messages to JSON and send to mergeCh
	go func() {
		buf := bytes.NewBuffer(grid.GetByteBuffer()[:0])
		enc := json.NewEncoder(buf)
		tmpEvt := struct{ Records []event.Event }{[]event.Event{{}}}
		for {
			select {
			case ev := <-localCh:
				buf.Reset()

    /**
     * Returns list of job logs.
     * Supports filtering and pagination for job execution history.
     *
     * @param body search parameters for filtering and pagination
     * @return JSON response containing job logs list with pagination info
     */
    @Execute
    public JsonResponse<ApiResult> logs(final SearchBody body) {
        validateApi(body, messages -> {});

// using some colors
func FmtError(introMsg string, err error, jsonFlag bool) string {
	renderedTxt := ""
	uiErr := ErrorToErr(err)
	// JSON print
	if jsonFlag {
		// Message text in json should be simple
		if uiErr.detail != "" {
			return uiErr.msg + ": " + uiErr.detail
		}
		return uiErr.msg
	}
	// Pretty print error message
	introMsg += ": "

const (
	// SelectFmtUnknown - unknown format (default value)
	SelectFmtUnknown SelectObjectFormat = iota
	// SelectFmtCSV - CSV format
	SelectFmtCSV
	// SelectFmtJSON - JSON format
	SelectFmtJSON
	// SelectFmtSIMDJSON - SIMD JSON format
	SelectFmtSIMDJSON
	// SelectFmtParquet - Parquet format
	SelectFmtParquet
)

// WriteCSVOpts - encapsulates options for Select CSV output
type WriteCSVOpts struct {

## Attributes with lists of submodels { #attributes-with-lists-of-submodels }

You can also use Pydantic models as subtypes of `list`, `set`, etc.:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

This will expect (convert, validate, document, etc.) a JSON body like:

```JSON hl_lines="11"
{
    "name": "Foo",

Такая реализация будет ожидать (конвертировать, валидировать, документировать и т.д.) JSON-содержимое в следующем формате:

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": [
        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {

Also würde das Frontend (das im Browser läuft) versuchen, `/openapi.json` zu erreichen und wäre nicht in der Lage, das OpenAPI-Schema abzurufen.

Da wir für unsere Anwendung einen Proxy mit dem Pfadpräfix `/api/v1` haben, muss das Frontend das OpenAPI-Schema unter `/api/v1/openapi.json` abrufen.

```mermaid
graph LR

	// Last object scanned.
	Bucket string `json:"-"`
	Object string `json:"-"`

	// Numbers when current bucket started healing,
	// for resuming with correct numbers.
	ResumeItemsHealed  uint64 `json:"-"`
	ResumeItemsFailed  uint64 `json:"-"`
	ResumeItemsSkipped uint64 `json:"-"`
	ResumeBytesDone    uint64 `json:"-"`
	ResumeBytesFailed  uint64 `json:"-"`
	ResumeBytesSkipped uint64 `json:"-"`

	// Filled on startup/restarts.

* <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (OpenAPI 자체가 JSON Schema를 기반으로 하고 있습니다)를 사용한 자동 데이터 모델 문서화.
* 단순히 떠올려서 덧붙인 기능이 아닙니다. 세심한 검토를 거친 후, 이러한 표준을 기반으로 설계되었습니다.
* 이는 또한 다양한 언어로 자동적인 **클라이언트 코드 생성**을 사용할 수 있게 지원합니다.

### 문서 자동화