# Déclarer des exemples de données de requête { #declare-request-example-data }

Vous pouvez déclarer des exemples des données que votre application peut recevoir.

Voici plusieurs façons de le faire.

## Ajouter des données JSON Schema supplémentaires dans les modèles Pydantic { #extra-json-schema-data-in-pydantic-models }

Vous pouvez déclarer `examples` pour un modèle Pydantic qui seront ajoutés au JSON Schema généré.

# Declarar Datos de Ejemplo de Request { #declare-request-example-data }

Puedes declarar ejemplos de los datos que tu aplicación puede recibir.

Aquí tienes varias formas de hacerlo.

## Datos extra de JSON Schema en modelos de Pydantic { #extra-json-schema-data-in-pydantic-models }

Puedes declarar `examples` para un modelo de Pydantic que se añadirá al JSON Schema generado.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

# Declare dados de exemplo da requisição { #declare-request-example-data }

Você pode declarar exemplos dos dados que sua aplicação pode receber.

Aqui estão várias maneiras de fazer isso.

## Dados extras de JSON Schema em modelos Pydantic { #extra-json-schema-data-in-pydantic-models }

Você pode declarar `examples` para um modelo Pydantic que serão adicionados ao JSON Schema gerado.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

/**
 * A wrapper implementation of Map<String, Object> that provides special handling
 * for document data. This class wraps an existing map and provides custom behavior
 * for the entrySet method to ensure language fields appear first in iteration order.
 * Used throughout the Fess search system for document data manipulation.
 *
 */
public class DocMap implements Map<String, Object> {

            SearchEngineUtil.scroll(index, hit -> {
                final String data = "{\"index\":{\"_index\":\"" + index + "\",\"_id\":\"" + StringEscapeUtils.escapeJson(hit.getId())
                        + "\"}}\n" + hit.getSourceAsString() + "\n";
                try {
                    zos.write(data.getBytes(Constants.CHARSET_UTF_8));
                } catch (final IOException e) {

## Verify the `username` and data shape { #verify-the-username-and-data-shape }

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

                    </div>
                </div>
            </div>
        </div>
        <section class="content">
            <la:form action="/admin/elevateword/upload/" enctype="multipart/form-data">
            <div class="row">
                <div class="col-md-12">
                    <div class="card card-outline card-success">
                        <div class="card-header">

                    .filter(t -> Objects.equals(id, t.id()))
                    .findFirst()
                    .orElse(null);
            if (type == null) {
                // Copy data as the ArtifactHandler is not immutable, but Type should be.
                ArtifactHandler handler = manager.getArtifactHandler(id);
                type = new DefaultType(
                        id,

}

// DatabaseTypeName returns the database system name of the column type. If an empty
// string is returned, then the driver type name is not supported.
// Consult your driver documentation for a list of driver data types. Length specifiers
// are not included.
// Common type names include "VARCHAR", "TEXT", "NVARCHAR", "DECIMAL", "BOOL",
// "INT", and "BIGINT".
func (ct ColumnType) DatabaseTypeName() string {
	if ct.DataTypeValue.Valid {

import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.junit.jupiter.MockitoExtension;

@ExtendWith(MockitoExtension.class)
@DisplayName("UUID Tests")
class UUIDTest {

    // Test data for a valid UUID string
    private static final String VALID_UUID_STRING = "00112233-4455-6677-8899-AABBCCDDEEFF";
    private static final String VALID_UUID_STRING_LOWERCASE = "00112233-4455-6677-8899-aabbccddeeff";