import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**

     *
     * @return the ingest factory instance
     */
    protected IngestFactory getIngestFactory() {
        return ComponentUtil.getIngestFactory();
    }

    /**
     * Processes a result data object for web/file crawling.
     * Default implementation returns the target unchanged.
     *
     * @param target the result data to process
     * @param responseData the response data from crawling

### Múltiples Procesos - Un Ejemplo { #multiple-processes-an-example }

En este ejemplo, hay un **Proceso Administrador** que inicia y controla dos **Worker Processes**.

Este Proceso Administrador probablemente sería el que escuche en el **puerto** en la IP. Y transmitirá toda la comunicación a los worker processes.

            fail("Should throw JobProcessingException");
        } catch (JobProcessingException e) {
            assertTrue(e.getMessage().contains("10 crawler processes are running"));
            assertTrue(e.getMessage().contains("Max processes are 5"));
        }
    }

    // Test execute method with no max process limit
    @Test
    public void test_execute_noMaxProcessLimit() {
        // Setup test

 * referenced in HTML documents. This generator extracts images from HTML content
 * and processes them to create thumbnail images based on configured dimensions
 * and format settings.
 *
 * <p>The generator validates image MIME types, processes image data through
 * ImageIO operations, and applies scaling and cropping to generate thumbnails
 * that meet the specified size requirements.</p>
 *

Como viste en el capítulo anterior sobre [Conceptos de Despliegue](concepts.md), hay múltiples estrategias que puedes usar.

Aquí te mostraré cómo usar **Uvicorn** con **worker processes** usando el comando `fastapi` o el comando `uvicorn` directamente.

/// info | Información

import org.codelibs.fess.util.DocumentUtil;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.script.Script;

/**
 * Job class for updating label information in the search index.
 * This job processes documents and updates their label fields based on URL pattern matching.
 */
public class UpdateLabelJob {

    private static final Logger logger = LogManager.getLogger(UpdateLabelJob.class);

    /**

     */
    public PermissionHelper() {
        // Default constructor
    }

    /**
     * Encodes a permission string into a search role format.
     * Processes user, group, and role prefixes along with allow/deny prefixes.
     *
     * @param value the permission string to encode
     * @return the encoded permission string, or null if the input is blank or invalid
     */

            }
        }
        writeJsonResponse(HttpServletResponse.SC_METHOD_NOT_ALLOWED, escapeJsonKeyValue(MESSAGE_FIELD, method + " is not allowed."));
        return false;
    }

    /**
     * Processes a scroll search request.
     * @param request The HTTP request.
     * @param response The HTTP response.
     * @param chain The filter chain.
     */

        }

        if (request != null) {
            request.setAttribute(USER_ROLES, roleSet);
        }
        return roleSet;
    }

    /**
     * Processes the access token.
     * @param request The HTTP request.
     * @param roleSet The set of roles.
     * @param isApiRequest Whether the request is an API request.