@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;

            }
            throw new SuggestIndexException("Failed to index from documents: index=" + index + ", documentCount=" + documents.length, e);
        }
    }

    /**
     * Indexes documents from an array of maps.
     *
     * @param index The index name
     * @param documents The documents to index
     * @param supportedFields The supported fields
     * @param tagFieldNames The tag field names

    }

    /**
     * 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) {

        int andRecordCount = JsonPath.from(andResponse).getInt("record_count");

        Map<String, String> params = new HashMap<>();
        params.put("q", query);
        params.put("num", "100");
        String response = checkMethodBase(new HashMap<>()).params(params).get("/api/v1/documents").asString();

		":" and then the term you are looking for. If you want to find
		documents which has "Fess" as the document title, you can enter:
		<pre>title:Fess</pre>
		The available fields are "url", "host", "site", "title", "content",
		"content_length", "last_modified" and "mimetype", and they are
		customizable.
	</dd>
	<dt>Sort</dt>
	<dd>
		sort field sorts documents by a specified field name. The format is

    /**
     * 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>