/**
     * Performs a search operation using the specified query and parameters.
     *
     * @param query the search query string
     * @param params the search request parameters
     * @param userBean the optional user bean for access control
     * @return the search result containing documents and metadata
     */
    @Override

func parsePreSignV4(query url.Values, region string, stype serviceType) (psv preSignValues, aec APIErrorCode) {
	// verify whether the required query params exist.
	aec = doesV4PresignParamsExist(query)
	if aec != ErrNone {
		return psv, aec
	}

	// Verify if the query algorithm is supported or not.
	if query.Get(xhttp.AmzAlgorithm) != signV4Algorithm {

{* ../../docs_src/path_params_numeric_validations/tutorial006_an_py39.py hl[13] *}

## Pour résumer

Avec `Query`, `Path` (et d'autres que vous verrez plus tard) vous pouvez déclarer des métadonnées et des validations de chaînes de la même manière qu'avec les [Paramètres de requête et validations de chaînes](query-params-str-validations.md){.internal-link target=_blank}.

Et vous pouvez également déclarer des validations numériques :

import org.codelibs.fess.opensearch.client.SearchEngineClient;

import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.RangeQueryBuilder;

public class PurgeDocJobTest extends UnitFessTestCase {

    private PurgeDocJob purgeDocJob;
    private SearchEngineClient searchEngineClient;

</p>
<p align="center">
    Framework FastAPI, alta performance, fácil de aprender, fácil de codar, pronto para produção
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>

* Both _paths_ take `GET` operations (also known as HTTP _methods_).
* The _path_ `/items/{item_id}` has a _path parameter_ `item_id` that should be an `int`.
* The _path_ `/items/{item_id}` has an optional `str` _query parameter_ `q`.

### Interactive API docs { #interactive-api-docs }

Now go to <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.query;

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.WildcardQuery;
import org.codelibs.fess.Constants;

///

## Declarar atributos del modelo

Después puedes utilizar `Field` con los atributos del modelo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` funciona de la misma manera que `Query`, `Path` y `Body`, tiene todos los mismos parámetros, etc.

/// note | Detalles técnicos

                "Unknown q: " + query.getClass() + " => " + query);
    }

    /**
     * Converts a wildcard query to an appropriate OpenSearch QueryBuilder.
     *
     * @param context The query context containing field and search information
     * @param wildcardQuery The Lucene wildcard query to convert
     * @param boost The boost factor to apply to the query
     * @return The converted OpenSearch QueryBuilder

        return df.format(target) + unit;
    }

    /**
     * Generates URL query parameters for pagination, excluding the specified query parameter.
     *
     * @param query the query parameter to exclude from paging
     * @return URL-encoded query string for pagination
     */
    public static String pagingQuery(final String query) {
        return LaRequestUtil.getOptionalRequest().map(req -> {