assertTrue(fuzzyQueryBuilder.toString().contains("\"fuzzy\""));
    }

    // Test convertFuzzyQuery with non-search field
    public void test_convertFuzzyQuery_withNonSearchField() {
        QueryContext context = new QueryContext("test", false);
        Term term = new Term("unknown_field", "fuzzy");
        FuzzyQuery fuzzyQuery = new FuzzyQuery(term, 2);
        float boost = 1.0f;

query.boost.fuzzy.title.transpositions=true
# Boost value for fuzzy content queries.
query.boost.fuzzy.content=0.005
# Fuzziness for fuzzy content queries.
query.boost.fuzzy.content.fuzziness=AUTO
# Number of expansions for fuzzy content queries.
query.boost.fuzzy.content.expansions=10
# Prefix length for fuzzy content queries.
query.boost.fuzzy.content.prefix_length=0

import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

/**
 * Query command implementation for handling fuzzy search queries.
 * This class converts Lucene FuzzyQuery objects into OpenSearch fuzzy query builders,
 * supporting configurable fuzzy matching parameters like edit distance and expansions.
 *
 */
public class FuzzyQueryCommand extends QueryCommand {

		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>

    /** The key of the configuration. e.g. AUTO */
    String QUERY_BOOST_FUZZY_CONTENT_FUZZINESS = "query.boost.fuzzy.content.fuzziness";

    /** The key of the configuration. e.g. 10 */
    String QUERY_BOOST_FUZZY_CONTENT_EXPANSIONS = "query.boost.fuzzy.content.expansions";

    /** The key of the configuration. e.g. 0 */

\"slop\":0,\"zero_terms_query\":\"NONE\",\"boost\":5.0}}},{\"match_phrase\":{\"content\":{\"query\":\"QUERY1\",\"slop\":0,\"zero_terms_query\":\"NONE\",\"boost\":0.5}}},{\"fuzzy\":{\"title\":{\"value\":\"QUERY1\",\"fuzziness\":\"AUTO\",\"prefix_length\":0,\"max_expansions\":10,\"transpositions\":true,\"boost\":0.01}}},{\"fuzzy\":{\"content\":{\"value\":\"QUERY1\",\"fuzziness\":\"AUTO\",\"prefix_length\":0,\"max_expansions\":10,\"transpositions\":true,\"boost\":0.005}}}],\"adjust_pure_negative\":...

        // The boost is applied internally
    }

    public void test_execute_withFuzzyQuery() {
        // Test executing BoostQuery with a FuzzyQuery inside
        Term term = new Term("field", "fuzzy");
        FuzzyQuery fuzzyQuery = new FuzzyQuery(term);
        BoostQuery boostQuery = new BoostQuery(fuzzyQuery, 1.8f);

        QueryContext context = new QueryContext("test", false);

lop\":0,\"zero_terms_query\":\"NONE\",\"boost\":0.5}}},{\"match_phrase\":{\"content\":{\"query\":\"xxx:aaa\",\"slop\":0,\"zero_terms_query\":\"NONE\",\"boost\":0.05}}},{\"fuzzy\":{\"title\":{\"value\":\"xxx:aaa\",\"fuzziness\":\"AUTO\",\"prefix_length\":0,\"max_expansions\":10,\"transpositions\":true,\"boost\":0.01}}},{\"fuzzy\":{\"content\":{\"value\":\"xxx:aaa\",\"fuzziness\":\"AUTO\",\"prefix_length\":0,\"max_expansions\":10,\"transpositions\":true,\"boost\":0.005}}}],\"adjust_pure_negative\"...

		<pre>content_length:[1000 TO 10000]</pre>
	</dd>
	<dt>부스트(Boost)검색</dt>
	<dd>
		부스트 검색은 검색어 뒤에 ^을 지정하여 사용할 수 있습니다.
		^ 다음에 가중치 값을 정수로 지정하여 그 검색어가 향상됩니다.
		<pre>Fess^100</pre>
	</dd>
	<dt>퍼지(Fuzzy)검색</dt>
	<dd>
		퍼지 검색은 검색어 후 ~을 지정하여 사용할 수 있습니다.
		예를 들어, Fess가 포함 된 문서에 퍼지 검색을 수행하려면 다음과 같이 입력합니다.
		<pre>Fess~0.5</pre>
		~ 다음에 값을 1 이하로 지정할 수 있습니다.
		기본값은 0.5입니다.
	</dd>

            }
            context.addSorts(createFieldSortBuilder(sortField, sortOrder));
        }));
        return null;
    }

    /**
     * Converts a term query for the default field with fuzzy matching support.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param termQuery the term query to convert
     * @param boost the boost value to apply