/**
     * 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.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;

    /** 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. */

    /**
     * Default constructor.
     */
    public AggregateLogJob() {
        // Default constructor
    }

    /**
     * Executes the search log aggregation job.
     * Stores search logs using the SearchLogHelper and returns execution results.
     *
     * @return execution result message, empty if successful or error message if failed
     */
    public String execute() {

        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;

/**

 * 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>
 *

- All [operators](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-operators.html) are supported.
- All aggregation, conditional, type-conversion and string functions are supported.
- JSON path expressions such as `FROM S3Object[*].path` are not yet evaluated.
- Large numbers (outside of the signed 64-bit range) are not yet supported.

        to the v1 version of the estimator:
        `tf.compat.v1.estimator.DNN/Linear/DNNLinearCombined*`.
    *   Default aggregation for canned Estimators is now `SUM_OVER_BATCH_SIZE`.
        To maintain previous default behavior, please pass `SUM` as the loss
        aggregation method.
    *   Canned Estimators don’t support `input_layer_partitioner` arg in the

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