match     func(*DB) bool
	handler   func(*DB)
	processor *processor
}

func (cs *callbacks) Create() *processor {
	return cs.processors["create"]
}

func (cs *callbacks) Query() *processor {
	return cs.processors["query"]
}

func (cs *callbacks) Update() *processor {
	return cs.processors["update"]
}

func (cs *callbacks) Delete() *processor {
	return cs.processors["delete"]
}

import org.codelibs.fess.crawler.extractor.Extractor;
import org.codelibs.fess.crawler.extractor.impl.TikaExtractor;
import org.codelibs.fess.crawler.processor.ResponseProcessor;
import org.codelibs.fess.crawler.processor.impl.DefaultResponseProcessor;
import org.codelibs.fess.crawler.rule.Rule;
import org.codelibs.fess.crawler.rule.RuleManager;
import org.codelibs.fess.crawler.serializer.DataSerializer;

import org.codelibs.fess.crawler.exception.ChildUrlsException;
import org.codelibs.fess.crawler.exception.CrawlerSystemException;
import org.codelibs.fess.crawler.processor.ResponseProcessor;
import org.codelibs.fess.crawler.processor.impl.DefaultResponseProcessor;
import org.codelibs.fess.crawler.rule.Rule;
import org.codelibs.fess.crawler.rule.RuleManager;
import org.codelibs.fess.crawler.serializer.DataSerializer;

                    java.util.function.BiFunction<org.opensearch.action.update.UpdateRequestBuilder, org.opensearch.search.SearchHit, org.opensearch.action.update.UpdateRequestBuilder> processor) {
                // Return 0 to simulate no documents processed due to error
                return 0L;
            }
        };
        ComponentUtil.register(errorClient, "searchEngineClient");

 * 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>
 *

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

     * 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>

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

    /**
     * Processes response data based on HTTP status code and configured transformer.
     *
     * @param responseData the response data to process
     */
    @Override
    public void process(final ResponseData responseData) {
        if (isNotModified(responseData)) {

        // Initial state
        assertNull(testRule.getResponseProcessor());

        // Set response processor
        TestResponseProcessor processor = new TestResponseProcessor();
        testRule.setResponseProcessor(processor);
        assertSame(processor, testRule.getResponseProcessor());

        // Change response processor
        TestResponseProcessor newProcessor = new TestResponseProcessor();

            ComponentUtil.register(newQueryProcessor, "queryProcessor");

            // Register the command with the new processor
            PrefixQueryCommand newCommand = new PrefixQueryCommand();
            newCommand.register();

            // Verify that the command can process PrefixQuery by executing it
            PrefixQuery query = new PrefixQuery(new Term("field", "test"));