import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;

 */
package org.codelibs.fess.query;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.exception.InvalidQueryException;

import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.Constants;
import org.opensearch.search.aggregations.Aggregations;
import org.opensearch.search.aggregations.bucket.filter.Filter;
import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

public class FacetResponse {

                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "description": "Query string for the items to search in the database that have a good match",
                            "required": False,
                            "deprecated": True,
                            "schema": IsDict(
                                {

                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "description": "Query string for the items to search in the database that have a good match",
                            "required": False,
                            "deprecated": True,
                            "schema": IsDict(
                                {

                searchRequestBuilder -> SearchConditionBuilder
                        .builder(searchRequestBuilder.setPreference(Constants.SEARCH_PREFERENCE_LOCAL))
                        .searchRequestType(SearchRequestType.ADMIN_SEARCH).size(keyMatch.getMaxSize()).query(keyMatch.getQuery())
                        .responseFields(new String[] { fessConfig.getIndexFieldDocId() }).build());
    }

import org.opensearch.action.bulk.BulkResponse;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.action.update.UpdateRequestBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.script.Script;
import org.opensearch.script.ScriptType;
import org.opensearch.search.SearchHit;

public abstract class ScoreBooster {

#!/bin/bash

touch $(ls -d ./fess-*/logs)/fess-crawler.log
tail -f ./fess-*/logs/*.log &

mvn test -P integrationTests -Dtest.fess.url="http://localhost:8080" -Dtest.search_engine.url="http://localhost:9201"
ret=$?

if [ $ret != 0 ] ; then
  for f in `find ./target -type f | grep surefire-reports | grep -v /TEST-` ; do
    cat $f
  done
fi

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.query;

import java.util.concurrent.atomic.AtomicBoolean;

import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.query.QueryProcessor.FilterChain;
import org.codelibs.fess.unit.UnitFessTestCase;

            writeJsonResponse(HttpServletResponse.SC_BAD_REQUEST, escapeJsonKeyValue(MESSAGE_FIELD, "Scroll Search is not available."));
            return;
        }

        final StringBuilder buf = new StringBuilder(1000);
        request.setAttribute(Constants.SEARCH_LOG_ACCESS_TYPE, Constants.SEARCH_LOG_ACCESS_TYPE_JSON);
        final JsonRequestParams params = new JsonRequestParams(request, fessConfig);
        try {