@Test
    public void test_execute_success() {
        String result = updateLabelJob.execute();
        assertNotNull(result);
        assertTrue(result.contains("3 documents")); // 3 documents processed
        assertFalse(result.contains("exception"));
    }

    // Test execute() method with query builder
    @Test
    public void test_execute_withQueryBuilder() {

 * manage collections of search results and crawled documents.
 *
 */
public class DocList extends ArrayList<Map<String, Object>> {

    /** Serial version UID for serialization */
    private static final long serialVersionUID = 1L;

    /** Total content size of all documents in this list */
    private long contentSize = 0;

    /** Total processing time for all documents in this list */
    private long processingTime = 0;

    }

    /**
     * Extracts a subset of documents from the full result list based on pagination parameters.
     * Applies proper bounds checking to ensure the extracted range is within the document list size.
     *
     * @param docs the full list of search result documents
     * @param pageSize the number of documents to include in the page
     * @param startPosition the starting position for pagination

            processor.init();

            // Should handle null documents gracefully
            final List<Map<String, Object>> results = processor.search("*", new TestSearchRequestParams(0, 10, 0), OptionalThing.empty());
            assertNotNull(results);
        }
    }

    /**
     * Test handling of documents with missing ID field.
     */
    @Test

     *
     * @param userMessage the user's message
     * @param documents the documents with content
     * @param history the conversation history
     * @return the chat response
     * @throws LlmException if LLM is not available
     */
    public LlmChatResponse generateAnswer(final String userMessage, final List<Map<String, Object>> documents,
            final List<LlmMessage> history) {

    /**
     * Creates a result with no relevant documents found.
     *
     * @return evaluation result with no relevant documents
     */
    public static RelevanceEvaluationResult noRelevantResults() {
        return new RelevanceEvaluationResult(Collections.emptyList(), Collections.emptyList(), false);
    }

    /**
     * Creates a fallback result that includes all documents as relevant.

 * transforms them into indexed documents, and updates the OpenSearch index.
 *
 * <p>The updater performs the following key operations:
 * <ul>
 * <li>Retrieves crawled documents from the data service</li>
 * <li>Transforms document data using appropriate transformers</li>
 * <li>Applies document boosting rules and click/favorite count enhancements</li>
 * <li>Sends processed documents to the search engine for indexing</li>

        });
        this.keyMatchQueryMap = keyMatchQueryMap;
        return keyMatchQueryMap.size();
    }

    /**
     * Retrieves a list of documents based on the KeyMatch query.
     *
     * @param keyMatch The KeyMatch instance.
     * @return A list of documents.
     */
    protected List<Map<String, Object>> getDocumentList(final KeyMatch keyMatch) {

import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

/**
 * Job for purging expired documents from the search index.
 * This job removes documents that have passed their expiration time based on the expires field.
 * It helps maintain the search index by cleaning up outdated content automatically.
 */
public class PurgeDocJob {

 * Strategy interface for different types of upgrade operations.
 * Each strategy handles a specific aspect of the Maven upgrade process.
 *
 * <p>Strategies work with domtrip Documents for perfect formatting preservation.
 * Individual strategies can create domtrip Editors from Documents as needed:
 * <pre>
 * Editor editor = new Editor(document);
 * // ... perform domtrip operations ...
 * // Document is automatically updated
 * </pre>
 */