import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

/**
 * Helper class for managing data crawling operations in Fess.
 * This class coordinates the execution of data store crawling processes,
 * managing multiple concurrent crawling threads and handling the indexing
 * of crawled documents into the search engine.
 *
 * <p>The DataIndexHelper supports:</p>
 * <ul>

            processDefault(objs);
            break;
        }
    }

    /**
     * Processes default log events (no specific handling).
     *
     * @param objs the log objects
     */
    protected void processDefault(final Object... objs) {
    }

    /**
     * Processes system error log events.
     *
     * @param objs the log objects (should contain a Throwable)
     */

import org.codelibs.fess.util.JobProcess;

import jakarta.annotation.PreDestroy;

/**
 * Helper class for managing system processes in Fess.
 * This class provides functionality to start, stop, and manage external processes
 * such as crawler processes, with proper resource cleanup and lifecycle management.
 */
public class ProcessHelper {
    /** Logger instance for this class */

     * Continuously processes crawled documents from the data service, transforms them,
     * and updates the search index until crawling is finished and all documents are processed.
     *
     * <p>The method performs the following operations in a loop:
     * <ul>
     * <li>Retrieves access results from the data service</li>
     * <li>Processes each document through transformers</li>

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 {
    /**

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

### 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.

 * 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>
 *

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);

    /**

            }
        }
        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.
     */