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Elasticsearch subproject :modules:rank-eval
/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.elasticsearch.index.rankeval;
import org.elasticsearch.action.ActionListener;
import org.elasticsearch.action.search.MultiSearchRequest;
import org.elasticsearch.action.search.MultiSearchResponse;
import org.elasticsearch.action.search.MultiSearchResponse.Item;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.support.ActionFilters;
import org.elasticsearch.action.support.HandledTransportAction;
import org.elasticsearch.client.Client;
import org.elasticsearch.cluster.metadata.IndexNameExpressionResolver;
import org.elasticsearch.common.bytes.BytesArray;
import org.elasticsearch.common.inject.Inject;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.NamedXContentRegistry;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.script.Script;
import org.elasticsearch.script.ScriptService;
import org.elasticsearch.script.TemplateScript;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.threadpool.ThreadPool;
import org.elasticsearch.transport.TransportService;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.concurrent.ConcurrentHashMap;
import static org.elasticsearch.common.xcontent.XContentHelper.createParser;
/**
* Instances of this class execute a collection of search intents (read: user
* supplied query parameters) against a set of possible search requests (read:
* search specifications, expressed as query/search request templates) and
* compares the result against a set of annotated documents per search intent.
*
* If any documents are returned that haven't been annotated the document id of
* those is returned per search intent.
*
* The resulting search quality is computed in terms of precision at n and
* returned for each search specification for the full set of search intents as
* averaged precision at n.
*/
public class TransportRankEvalAction extends HandledTransportAction {
private Client client;
private ScriptService scriptService;
private NamedXContentRegistry namedXContentRegistry;
@Inject
public TransportRankEvalAction(Settings settings, ThreadPool threadPool, ActionFilters actionFilters,
IndexNameExpressionResolver indexNameExpressionResolver, Client client, TransportService transportService,
ScriptService scriptService, NamedXContentRegistry namedXContentRegistry) {
super(settings, RankEvalAction.NAME, threadPool, transportService, actionFilters, indexNameExpressionResolver,
RankEvalRequest::new);
this.scriptService = scriptService;
this.namedXContentRegistry = namedXContentRegistry;
this.client = client;
}
@Override
protected void doExecute(RankEvalRequest request, ActionListener listener) {
RankEvalSpec evaluationSpecification = request.getRankEvalSpec();
List indices = evaluationSpecification.getIndices();
EvaluationMetric metric = evaluationSpecification.getMetric();
List ratedRequests = evaluationSpecification.getRatedRequests();
Map errors = new ConcurrentHashMap<>(ratedRequests.size());
Map scriptsWithoutParams = new HashMap<>();
for (Entry entry : evaluationSpecification.getTemplates().entrySet()) {
scriptsWithoutParams.put(entry.getKey(), scriptService.compile(entry.getValue(), TemplateScript.CONTEXT));
}
MultiSearchRequest msearchRequest = new MultiSearchRequest();
msearchRequest.maxConcurrentSearchRequests(evaluationSpecification.getMaxConcurrentSearches());
List ratedRequestsInSearch = new ArrayList<>();
for (RatedRequest ratedRequest : ratedRequests) {
SearchSourceBuilder ratedSearchSource = ratedRequest.getTestRequest();
if (ratedSearchSource == null) {
Map params = ratedRequest.getParams();
String templateId = ratedRequest.getTemplateId();
TemplateScript.Factory templateScript = scriptsWithoutParams.get(templateId);
String resolvedRequest = templateScript.newInstance(params).execute();
try (XContentParser subParser = createParser(namedXContentRegistry, new BytesArray(resolvedRequest), XContentType.JSON)) {
ratedSearchSource = SearchSourceBuilder.fromXContent(subParser);
} catch (IOException e) {
// if we fail parsing, put the exception into the errors map and continue
errors.put(ratedRequest.getId(), e);
continue;
}
}
if (metric.forcedSearchSize().isPresent()) {
ratedSearchSource.size(metric.forcedSearchSize().get());
}
ratedRequestsInSearch.add(ratedRequest);
List summaryFields = ratedRequest.getSummaryFields();
if (summaryFields.isEmpty()) {
ratedSearchSource.fetchSource(false);
} else {
ratedSearchSource.fetchSource(summaryFields.toArray(new String[summaryFields.size()]), new String[0]);
}
SearchRequest searchRequest = new SearchRequest(indices.toArray(new String[indices.size()]), ratedSearchSource);
msearchRequest.add(searchRequest);
}
assert ratedRequestsInSearch.size() == msearchRequest.requests().size();
client.multiSearch(msearchRequest, new RankEvalActionListener(listener, metric,
ratedRequestsInSearch.toArray(new RatedRequest[ratedRequestsInSearch.size()]), errors));
}
class RankEvalActionListener implements ActionListener {
private final ActionListener listener;
private final RatedRequest[] specifications;
private final Map errors;
private final EvaluationMetric metric;
RankEvalActionListener(ActionListener listener, EvaluationMetric metric, RatedRequest[] specifications,
Map errors) {
this.listener = listener;
this.metric = metric;
this.errors = errors;
this.specifications = specifications;
}
@Override
public void onResponse(MultiSearchResponse multiSearchResponse) {
int responsePosition = 0;
Map responseDetails = new HashMap<>(specifications.length);
for (Item response : multiSearchResponse.getResponses()) {
RatedRequest specification = specifications[responsePosition];
if (response.isFailure() == false) {
SearchHit[] hits = response.getResponse().getHits().getHits();
EvalQueryQuality queryQuality = this.metric.evaluate(specification.getId(), hits, specification.getRatedDocs());
responseDetails.put(specification.getId(), queryQuality);
} else {
errors.put(specification.getId(), response.getFailure());
}
responsePosition++;
}
listener.onResponse(new RankEvalResponse(this.metric.combine(responseDetails.values()), responseDetails, this.errors));
}
@Override
public void onFailure(Exception exception) {
listener.onFailure(exception);
}
}
}
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