public String handlerScript;

    /** Boost value for documents from this data source */
    @Required
    @ValidateTypeFailure
    public Float boost;

    /** Whether this configuration is enabled (true/false) */
    @Required
    @Size(max = 5)
    public String available;

    /** Access permissions for documents from this data source */
    @CustomSize(maxKey = "form.admin.max.input.size")

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

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

errors.target_file_does_not_exist = Il file {0} non esiste.
errors.failed_to_delete_file = Impossibile eliminare il file {0}.
errors.docid_not_found = ID documento non trovato. Causa: {0}
errors.document_not_found = URL ID documento non trovato. Causa: {0}
errors.not_load_from_server = Impossibile caricare da questo server. Causa: {0}
errors.failed_to_start_job = Impossibile avviare il lavoro {0}.

Directory for auto-generated documents

canonicalized, so a single accented code point is distinct from the
same character constructed from combining an accent and a letter;
those are treated as two code points.  For simplicity, this document
will use the unqualified term <i>character</i> to refer to a Unicode code point
in the source text.
</p>
<p>
Each code point is distinct; for instance, uppercase and lowercase letters
are different characters.
</p>

                .collect(Collectors.groupingBy(Pair::getFirst, Collectors.mapping(Pair::getSecond, Collectors.toList())));
        sourceMap.put("headers", headerMap);
        sourceMap.put("documents", documentList);
        return sourceMap;
    }

    @Override
    protected void addFieldToSource(final Map<String, Object> sourceMap, final String field, final Object value) {

    }

    /**
     * Scrolls through all documents in the specified index and applies the callback function to each hit.
     *
     * @param index the name of the index to scroll through
     * @param callback the function to apply to each search hit, returning true to continue or false to stop
     * @return the number of documents processed
     */

<?xml version="1.0" encoding="UTF-8"?>
<OpenSearchDescription xmlns="http://a9.com/-/spec/opensearch/1.1/">
  <ShortName>Fess</ShortName>
  <Description>Full Text Search for Your Documents.</Description>
  <Tags>Full Text Search</Tags>
  <Contact>******@****.***</Contact>
  <SearchForm>http://localhost:8080/fess/</SearchForm>
  <Url type="text/html" template="http://localhost:8080/fess/search?q={searchTerms}"/>
  <InputEncoding>UTF-8</InputEncoding>

            final CountDownLatch latch = new CountDownLatch(1);

            logger.info("Parsing words from indexed documents.");
            suggestHelper.indexFromDocuments(ret -> {
                logger.info("Success indexing from documents.");
                latch.countDown();
            }, t -> {
                logger.error("Failed to update suggest index.", t);

/**
 * Executable class for generating thumbnails for indexed documents.
 * This class provides a command-line interface for thumbnail generation tasks.
 */
public class ThumbnailGenerator {

    private static final Logger logger = LogManager.getLogger(ThumbnailGenerator.class);

    /**
     * OpenSearch client for accessing indexed documents.
     */
    @Resource
    public SearchEngineClient searchEngineClient;