import jakarta.annotation.PostConstruct;

/**
 * Response processor implementation for the Fess search engine.
 * This processor extends DefaultResponseProcessor to provide additional
 * processing capabilities through the ingest framework, allowing for
 * custom data transformation and enrichment during the crawling process.
 *
 * <p>It supports pluggable ingesters that can modify the result data

    }

    /**
     * Processes a document map for datastore operations.
     * Default implementation delegates to the basic process method.
     *
     * @param target the document data to process
     * @param params the data store parameters
     * @return the processed document data
     */
    public Map<String, Object> process(final Map<String, Object> target, final DataStoreParams params) {

        return url;
    }

    /**
     * Extracts and processes the site path from a URL with proper encoding handling.
     * Removes protocol, query parameters, and applies URL decoding based on encoding settings.
     *
     * @param u the URL string to process
     * @param encoding the character encoding to use for URL decoding
     * @return the processed site path, abbreviated if necessary
     */

     * @param query the Lucene query to be processed
     * @param boost the boost factor to apply to the query
     * @return the processed OpenSearch QueryBuilder
     */
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        return filterChain.execute(context, query, boost);
    }

    /**
     * Adds a query command to the processor.
     *

        Process mockProcess = createMockProcess("test");
        JobProcess jobProcess = new JobProcess(mockProcess);

        assertNotNull(jobProcess.getInputStreamThread());
    }

    public void test_multipleJobProcesses() throws IOException {
        Process mockProcess1 = createMockProcess("process1 output");
        Process mockProcess2 = createMockProcess("process2 output");

        try {
            // Start multiple processes
            processHelper.startProcess(sessionId1, cmdList, pbCall);
            processHelper.startProcess(sessionId2, cmdList, pbCall);

            assertTrue(processHelper.isProcessRunning());

            // Wait a bit for the processes to start
            Thread.sleep(50);

            // Destroy all processes
            processHelper.destroy();

        }

    }

    /**
     * Processes a document through the ingest pipeline.
     * Applies all available ingesters to transform the document data.
     *
     * @param paramMap the data store parameters
     * @param dataMap the document data to process
     * @return the processed document data
     */

* mount (verb): montar
* statement (as in code statement): statement (do not translate to "declaración" or "sentencia")
* worker process: worker process (do not translate to "proceso trabajador" or "proceso de trabajo")
* worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo")
* worker: worker (do not translate to "trabajador")
* load balancer: load balancer (do not translate to "balanceador de carga")

     * 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>

         *
         * @param query the query string to process
         * @param chain the next filter chain to invoke
         * @return the processed Query object
         */
        Query parse(final String query, final FilterChain chain);
    }

    /**
     * Interface for the filter chain that processes queries.
     * Each filter in the chain can invoke the next filter or terminate the chain.