package org.codelibs.fess.score;

import java.util.Map;

import org.opensearch.search.rescore.RescorerBuilder;

/**
 * Interface for query rescoring implementations.
 */
public interface QueryRescorer {
    /**
     * Evaluates the rescorer with the given parameters.
     *
     * @param params the parameters for rescoring
     * @return the rescorer builder
     */
    RescorerBuilder<?> evaluate(final Map<String, Object> params);

    }

    /**
     * Adds a query rescorer for post-processing search results.
     * Query rescorers allow modification of search scores after the initial query execution.
     *
     * @param rescorer the query rescorer to add
     */
    public void addQueryRescorer(final QueryRescorer rescorer) {
        queryRescorerList.add(rescorer);
    }

import org.codelibs.fess.opensearch.query.StoredLtrQueryBuilder;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

/**
 * Learning to Rank query rescorer implementation.
 */
public class LtrQueryRescorer implements QueryRescorer {

    /**
     * Default constructor.
     */

 *   <li>Limiting the number of results (size).</li>
 *   <li>Filtering by tags, roles, fields, and languages.</li>
 *   <li>Excluding specific words from the results.</li>
 *   <li>Building the OpenSearch query and rescorer for the popular words search.</li>
 *   <li>Creating a {@link PopularWordsResponse} from the OpenSearch search response.</li>
 * </ul>
 *
 * @see Request
 * @see PopularWordsResponse
 */

    public void test_getRescorers_emptyList() {
        java.util.Map<String, Object> params = new java.util.HashMap<>();
        org.opensearch.search.rescore.RescorerBuilder<?>[] rescorers = queryHelper.getRescorers(params);

        assertNotNull(rescorers);
        assertEquals(0, rescorers.length);
    }

    public void test_addQueryRescorer() {

            params.put("query", query);
            params.put("responseFields", responseFields);
            params.put("offset", offset);
            params.put("size", size);
            // TODO support rescorer(convert to map)
            // params.put("geoInfo", geoInfo);
            // params.put("facetInfo", facetInfo);
            params.put("similarDocHash", similarDocHash);
            return params;
        }

        // Test with first implementation
        QueryRescorer rescorer1 = new QueryRescorer() {
            @Override
            public RescorerBuilder<?> evaluate(Map<String, Object> params) {
                return createMockRescorerBuilder();
            }
        };

        // Test with second implementation
        QueryRescorer rescorer2 = new QueryRescorer() {
            @Override

### Expiry or removal events

}

// Expiry returns expiry of restored object and true if restore-object has completed.
// Otherwise returns zero value of time.Time and false.
func (r restoreObjStatus) Expiry() (time.Time, bool) {
	if r.Ongoing() {
		return time.Time{}, false
	}
	return r.expiry, true
}

// Ongoing returns true if restore-object is ongoing.
func (r restoreObjStatus) Ongoing() bool {

//
//   - <KbBlockSize>
//     Veeam Block Size for backup and restore processing before compression is applied. The higher the block size, the more
//     backup space is needed for incremental backups. Larger block sizes also mean less performance for random read restore
//     methods like Instant Restore, File Level Recovery, and Database/Application restores. Veeam recommends that vendors