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, may be null
     */
    public FacetResponse(final Aggregations aggregations) {
        if (aggregations != null) {
            aggregations.forEach(aggregation -> {

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. */

                }

                builder.addDocument(docMap);
            }

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

        });
        return builder.build();
    }

    /**

import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.stream.StreamUtil;
import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.aggregations.BucketOrder;

import jakarta.annotation.PostConstruct;

/**
 * Entity class representing facet configuration information for search results.

## Changes by Kind

### API Change

- Fixes a 1.33 regression that can cause a nil panic in kube-scheduler when aggregating resource requests across container's spec and status. ([#133285](https://github.com/kubernetes/kubernetes/pull/133285), [@yue9944882](https://github.com/yue9944882)) [SIG Node and Scheduling]

### Feature

 * exceptions during retries.</p>
 *
 * <p>Key features:</p>
 * <ul>
 *   <li>Configurable maximum retry attempts</li>
 *   <li>Adjustable interval between retries</li>
 *   <li>Exception tracking and aggregation</li>
 *   <li>Request lifecycle monitoring through listener</li>
 * </ul>
 *
 * <p>By default, it will:</p>
 * <ul>
 *   <li>Retry up to 5 times</li>
 *   <li>Wait 500ms between retries</li>
 * </ul>
 *