/**
     * Converts a TermQuery to a QueryBuilder with the given boost value.
     *
     * @param context the query context
     * @param termQuery the term query to convert
     * @param boost the boost value to apply
     * @return the converted QueryBuilder
     */
    protected QueryBuilder convertTermQuery(final QueryContext context, final TermQuery termQuery, final float boost) {

        }
        refresh();
    }

    /**
     * Adds a bad word to the suggest index.
     *
     * @param badWord The bad word to add.
     * @param apply   true to apply the changes immediately.
     */
    public void addBadWord(final String badWord, final boolean apply) {
        suggester.indexer().addBadWord(badWord, apply);
        refresh();
    }

    /**

            final DefaultQueryBuilderFunction builder) {
        final DefaultQueryBuilder defaultQuery = createDefaultQueryBuilder();
        defaultQuery.add(builder.apply(fessConfig.getIndexFieldTitle(), fessConfig.getQueryBoostTitleAsDecimal().floatValue()));
        defaultQuery.add(builder.apply(fessConfig.getIndexFieldContent(), fessConfig.getQueryBoostContentAsDecimal().floatValue()));

     * The method checks each rule to see if it applies to the current time and day.
     *
     * @return the delay in milliseconds, or 0 if no rules apply
     */
    protected long getDelay() {
        if (ruleList.isEmpty()) {
            return 0;
        }
        final Calendar cal = getCurrentCal();
        final int h = cal.get(Calendar.HOUR_OF_DAY);

     * @param apply Whether to apply the change immediately.
     * @return The SuggestDeleteResponse.
     */
    public SuggestDeleteResponse addBadWord(final String badWord, final boolean apply) {
        final String normalized = normalizer.normalize(badWord, "");
        settings.badword().add(normalized);
        badWords = settings.badword().get(true);
        if (apply) {

        words.add("apple");
        words.add("application");
        words.add("apply");

        SuggestResponse response = new SuggestResponse("test-index", 100, words, 10, new ArrayList<>());

        assertNotNull(response.getWords());
        assertEquals(3, response.getWords().size());
        assertTrue(response.getWords().contains("apple"));

     *
     * @param context the query context containing search parameters and state
     * @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) {

     *
     * @param context the query context containing search configuration
     * @param query the Lucene query to convert (must be a FuzzyQuery)
     * @param boost the boost factor to apply to the query
     * @return OpenSearch QueryBuilder for fuzzy matching
     * @throws InvalidQueryException if the query is not a FuzzyQuery
     */
    @Override

     *
     * @param context The query context containing field and search information
     * @param wildcardQuery The Lucene wildcard query to convert
     * @param boost The boost factor to apply to the query
     * @return The converted OpenSearch QueryBuilder
     */
    protected QueryBuilder convertWildcardQuery(final QueryContext context, final WildcardQuery wildcardQuery, final float boost) {

            reload(updater);
        }
    }

    /**
     * Reloads the stopwords dictionary from its source file.
     *
     * @param updater An optional updater to apply changes during reload.
     * @throws DictionaryException if the dictionary file cannot be read.
     */
    protected void reload(final StopwordsUpdater updater) {