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;

     * Turnkey Deployments (Deployment API (Beta) in the Extensions API group)
automate deployment and rolling updates of applications, specified
declaratively. It handles versioning, multiple simultaneous rollouts,
aggregating status across all pods, maintaining application availability, and
rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a

    /**
     * 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)) {

import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ExtendedStatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.MaxAggregationBuilder;

import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ExtendedStatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.MaxAggregationBuilder;

        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.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ExtendedStatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.MaxAggregationBuilder;

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]