QueryBuilder result = fuzzyQueryCommand.convertFuzzyQuery(context, fuzzyQuery, 1.0f);
            assertNotNull(result);
            assertTrue(result.toString().contains(text));

        }
    }

    // Test with empty term text
    @Test
    public void test_convertFuzzyQuery_withEmptyTerm() {
        QueryContext context = new QueryContext("test", false);
        Term term = new Term("title", "");

                return queries;
            }
        }
        return StringUtil.EMPTY_STRINGS;
    }

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

    }

    @Test
    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.
     *

        /**
         * 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) {

    /** 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;

    /**

	</dd>
	<dt>Boost</dt>
	<dd>
		To boost a term use the "^" symbol with a boost factor (a number) at
		the end of the term you are searching.
		<pre>Fess^100</pre>
	</dd>
	<dt>Fuzzy</dt>
	<dd>
		To do a fuzzy search use the "~" symbol at the end of a single word
		term. For example to search for a term similar in spelling to "Fess"
		use the fuzzy search:
		<pre>Fess~0.5</pre>
	</dd>

        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();

    /**
     * Gets the set of highlighted query terms.
     * @return The set of highlighted query terms, or empty set if not initialized.
     */
    public Set<String> getHighlightedQuerySet() {
        return highlightedQuerySet != null ? highlightedQuerySet : new HashSet<>();
    }

    /**
     * Gets the field log map containing field names and their associated query terms.

     * 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)) {