Map.of("_default", List.of("QUERY1", "QUERY2")), //

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final TermQuery termQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("TermQuery: query={}, boost={}", query, boost);
            }
            return convertTermQuery(context, termQuery, boost);
        }

        QueryBuilder result = queryCommand.convertWithFieldCheck(fessConfig, context, Constants.DEFAULT_FIELD, "test text", 1.0f,
                (field, boost) -> QueryBuilders.matchQuery(field, "test text").boost(boost),
                (field, text, boost) -> QueryBuilders.matchQuery(field, text).boost(boost));

        // Should build default query
        assertNotNull(result);
        assertTrue(result instanceof DefaultQueryBuilder);
    }

        float boost = -1.0f;

        try {
            matchAllQueryCommand.execute(context, query, boost);
            fail("Should throw IllegalArgumentException for negative boost");
        } catch (IllegalArgumentException e) {
            // Expected exception
            assertTrue(e.getMessage().contains("negative [boost] are not allowed"));
        }
    }

    @Test

    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final PrefixQuery prefixQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("PrefixQuery: query={}, boost={}", query, boost);
            }
            return convertPrefixQuery(context, prefixQuery, boost);
        }

import org.codelibs.fess.util.ComponentUtil;

/**
 * A matcher class for applying document boost values based on configurable expressions.
 * This class evaluates match and boost expressions against document data to determine
 * if a document should receive a boost and what boost value to apply. It supports
 * script-based expressions for flexible document scoring.
 *
 */
public class DocBoostMatcher {

                "aaa");
        assertQueryBuilder(MatchPhraseQueryBuilder.class,
                "{\"match_phrase\":{\"title\":{\"query\":\"aaa\",\"slop\":0,\"zero_terms_query\":\"NONE\",\"boost\":1.0}}}", //
                "title:aaa");

    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final WildcardQuery wildcardQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("WildcardQuery: query={}, boost={}", query, boost);
            }
            return convertWildcardQuery(context, wildcardQuery, boost);
        }

# will work properly. These are usually run Nightly or upon Release.
# CPU WHEEL
test:linux_cpu_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313
test:linux_cpu_wheel_test_filters --build_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313

     * @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) {
        return filterChain.execute(context, query, boost);
    }

    /**
     * Adds a query command to the processor.
     *