*
     * @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

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 {
    /**

### 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.

Como viste en el capítulo anterior sobre [Conceptos de Despliegue](concepts.md){.internal-link target=_blank}, 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

    }

    @get:Nested
    abstract val identity: ModuleIdentity

    fun identity(action: ModuleIdentity.() -> Unit) {
        action(identity)
    }

    /**
     * Describes the target processes that the code in this module may run on.
     */
    @get:Nested
    abstract val targetRuntimes: ModuleTargetRuntimes

    fun targetRuntimes(action: ModuleTargetRuntimes.() -> Unit) {
        action(targetRuntimes)

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);

    /**

 * 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>
 *

     */
    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
     */

        }

        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.

import org.codelibs.fess.crawler.util.CrawlingParameterUtil;

import jakarta.annotation.Resource;

/**
 * <p>
 * {@link DefaultResponseProcessor} is a default implementation of {@link ResponseProcessor}.
 * It processes the response data based on the HTTP status code and configured transformer.
 * </p>
 *
 * <p>
 * It handles successful responses by transforming the data using a {@link Transformer}