testData2.add(createRelatedQuery("term2", new String[] { "query2" }, ""));
        mockBhv.setTestData(testData2);

        relatedQueryHelper.load();

        // Old term should not be found
        results = relatedQueryHelper.getRelatedQueries("term1");
        assertEquals(0, results.length);

        // New term should be found

        testData.add(createRelatedContent("term1", "content1", ""));
        testData.add(createRelatedContent("term2", "content2", "host1"));
        mockBhv.setTestData(testData);

        List<RelatedContent> result = relatedContentHelper.getAvailableRelatedContentList();
        assertEquals(2, result.size());
        assertEquals("term1", result.get(0).getTerm());
        assertEquals("term2", result.get(1).getTerm());
    }

    @Test

            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>

    }

    /**
     * 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;
    }