/** CRUD operation mode (CREATE, EDIT, etc.) */
    @ValidateTypeFailure
    public Integer crudMode;

    /** Input terms (comma-separated) that will be mapped to the output term */
    @Required
    @Size(max = 1000)
    public String inputs;

    /** Output term that input terms will be mapped to */
    @Size(min = 1, max = 1000)
    public String output;

    /**

        final Term[] terms = phraseQuery.getTerms();
        if (terms.length == 0) {
            throw new InvalidQueryException(messages -> messages.addErrorsInvalidQueryUnknown(UserMessages.GLOBAL_PROPERTY_KEY),
                    "Unknown phrase query: " + phraseQuery);
        }
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String field = terms[0].field();

          Exceptions and Limitations apply to Your use, this Public
          License does not apply, and You do not need to comply with
          its terms and conditions.

       3. Term. The term of this Public License is specified in Section
          6(a).

       4. Media and formats; technical modifications allowed. The
          Licensor authorizes You to exercise the Licensed Rights in

 *   <li>Optionally removing duplicate terms based on a flag.</li>
 *   <li>Limiting the maximum size of alphanumeric and symbol terms.</li>
 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text
 * normalization process, including setting initial buffer capacity, maximum term sizes,
 * duplicate term removal, and custom space characters.
 *
 * <p>Example usage:

of that license document, provided that the further restriction does
not survive such relicensing or conveying.

  If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
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        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */
        public Field(final Terms termFacet) {

    }

    public void test_convertPhraseQuery_multipleTerms_defaultField() {
        // Test with multiple terms in default field
        PhraseQuery.Builder builder = new PhraseQuery.Builder();
        builder.add(new Term(Constants.DEFAULT_FIELD, "hello"));
        builder.add(new Term(Constants.DEFAULT_FIELD, "world"));
        PhraseQuery phraseQuery = builder.build();

    }

    private String toLowerCase(final String term) {
        return term != null ? term.toLowerCase(Locale.ROOT) : term;
    }

    /**
     * Sets the prefix used to identify regex patterns in related content terms.
     * When a term starts with this prefix, it is treated as a regular expression
     * pattern rather than an exact match term.
     *

    }

    /**
     * Converts a string to lowercase.
     *
     * @param term The string to convert.
     * @return The lowercase string.
     */
    private String toLowerCase(final String term) {
        return term != null ? term.toLowerCase(Locale.ROOT) : term;
    }

     * This method configures wildcard searches for term and queries fields, and sets up ordering.
     *
     * @param cb the condition bean for building the query
     * @param relatedQueryPager the pager containing search parameters
     */
    protected void setupListCondition(final RelatedQueryCB cb, final RelatedQueryPager relatedQueryPager) {
        if (StringUtil.isNotBlank(relatedQueryPager.term)) {