import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.helper.SearchLogHelper;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Job for aggregating and storing search logs.
 * This job processes search logs and stores them in the search log repository.
 */
public class AggregateLogJob {

import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;

    /**
     * Constructs a FacetResponse from OpenSearch aggregations.
     * Processes both field facets and query facets from the aggregation results.
     *
     * @param aggregations the OpenSearch aggregations containing facet data
     */
    public FacetResponse(final Aggregations aggregations) {
        aggregations.forEach(aggregation -> {
            if (aggregation.getName().startsWith(Constants.FACET_FIELD_PREFIX)) {

        assertNull(searchRenderData.getFacetResponse());

        // Test with FacetResponse object created from empty Aggregations
        List<Aggregation> aggregationList = new ArrayList<>();
        Aggregations aggregations = new Aggregations(aggregationList);
        FacetResponse facetResponse = new FacetResponse(aggregations);
        searchRenderData.setFacetResponse(facetResponse);

import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

/**

- Fixed a 1.33 regression that causes a nil panic in kube-scheduler when aggregating resource requested across container's spec and status. ([#132895](https://github.com/kubernetes/kubernetes/pull/132895), [@yue9944882](https://github.com/yue9944882)) [SIG Node and Scheduling]

    /** Log type constant for hourly search count aggregation. */
    public static final String LOG_TYPE_SEARCH_COUNT_HOUR = "search_count_hour_agg";

    /** Log type constant for daily search count aggregation. */
    public static final String LOG_TYPE_SEARCH_COUNT_DAY = "search_count_day_agg";

    /** Log type constant for hourly unique user aggregation. */

import java.util.Map;

import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.FacetResponse;
import org.opensearch.search.aggregations.Aggregations;
import org.opensearch.search.aggregations.InternalAggregations;

public class SearchResultTest extends UnitFessTestCase {

    public void test_constructor() {
        // Test with normal values

                }

                builder.addDocument(docMap);
            }

            // facet
            final Aggregations aggregations = searchResponse.getAggregations();
            if (aggregations != null) {
                builder.facetResponse(new FacetResponse(aggregations));
            }

        });
        return builder.build();
    }

    /**

import org.codelibs.fess.mylasta.action.FessUserBean;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.FacetResponse;
import org.opensearch.search.aggregations.Aggregations;
import org.opensearch.search.aggregations.InternalAggregations;
import org.dbflute.optional.OptionalThing;

public class RankFusionSearcherTest extends UnitFessTestCase {