Néanmoins, nous pouvons déclarer le schéma attendu pour le corps de la requête.

### Type de contenu OpenAPI personnalisé { #custom-openapi-content-type }

En utilisant cette même astuce, vous pourriez utiliser un modèle Pydantic pour définir le JSON Schema qui est ensuite inclus dans la section de schéma OpenAPI personnalisée pour le chemin d’accès.

Et vous pourriez le faire même si le type de données dans la requête n’est pas du JSON.

 *   <li>Access to the session context used during processing</li>
 *   <li>Correlation of results with their initiating parameters</li>
 * </ul>
 *
 * @param <REQ> the type of Request that produced this result, ensuring type-safe
 *              access to the original request parameters
 *
 * @see Request
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface Result<REQ extends Request<?>> {

// Ideally we will never have a situation where we will have to change the
// fields of this struct and deal with related migration.
type formatMetaV1 struct {
	// Version of the format config.
	Version string `json:"version"`
	// Format indicates the backend format type, supports two values 'xl' and 'fs'.
	Format string `json:"format"`
	// ID is the identifier for the minio deployment
	ID string `json:"id"`

	storageRESTOrigVolume       = "ovol"
	storageRESTInclFreeVersions = "incl-fv"
	storageRESTRange            = "rng"
)

type nsScannerOptions struct {
	DiskID   string          `msg:"id"`
	ScanMode int             `msg:"m"`
	Cache    *dataUsageCache `msg:"c"`
}

type nsScannerResp struct {
	Update *dataUsageEntry `msg:"u"`
	Final  *dataUsageCache `msg:"f"`

name: Reusable Build
on:
  workflow_call:
    inputs:
      runner:
        description: 'Which runner should the workflow run on?'
        required: true
        type: string
      tfci:
        description: 'TFCI environment variable'
        required: true
        type: string

permissions:
  contents: read

jobs:
  build-and-test:
    runs-on: ${{ inputs.runner }}
    env:
      PIP_NO_CACHE_DIR: 1
    defaults:

	if err != nil {
		t.Errorf("No error should happen, got %v", err)
	}

	type NestedEmbeddedStruct struct {
		NestedEmbeddedIntField            int
		NestedEmbeddedIntFieldWithDefault int `gorm:"default:2"`
	}

	type EmbeddedStruct struct {
		EmbeddedIntField     int
		NestedEmbeddedStruct `gorm:"embedded"`
	}

	type EmbeddedPtrStruct struct {
		EmbeddedPtrIntField   int

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

    /** The ID of the dictionary. */
    public String id;
    /** The type of the dictionary. */
    public String type;
    /** The path of the dictionary. */
    public String path;
    /** The timestamp of the dictionary. */
    public Date timestamp;

import static java.lang.annotation.ElementType.TYPE;

import java.lang.annotation.Target;

/**
 * Disables Animal Sniffer's checking of compatibility with older versions of Java/Android.
 *
 * <p>Each package's copy of this annotation needs to be listed in our {@code pom.xml}.
 */
@Target({METHOD, CONSTRUCTOR, TYPE, FIELD})

import static java.lang.annotation.ElementType.TYPE;

import java.lang.annotation.Target;

/**
 * Disables Animal Sniffer's checking of compatibility with older versions of Java/Android.
 *
 * <p>Each package's copy of this annotation needs to be listed in our {@code pom.xml}.
 */
@Target({METHOD, CONSTRUCTOR, TYPE, FIELD})

/**
 * Search request body for label type administration API.
 */
public class SearchBody extends BaseSearchBody {

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

    /** Name of the label type */
    public String name;

    /** Value of the label type */
    public String value;