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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF 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.apache.solr.ltr;
import org.apache.solr.client.solrj.SolrQuery;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
public class TestLTRQParserPlugin extends TestRerankBase {
@BeforeClass
public static void before() throws Exception {
setuptest(true);
loadFeatures("features-linear.json");
loadModels("linear-model.json");
loadFeatures("features-slow.json");
loadModels("linear-slow-model.json"); // just a linear model with one feature
}
@AfterClass
public static void after() throws Exception {
aftertest();
}
@Test
public void ltrModelIdMissingTest() throws Exception {
final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.add("fl", "*, score");
query.add("rows", "4");
query.add("fv", "true");
query.add("rq", "{!ltr reRankDocs=100}");
final String res = restTestHarness.query("/query" + query.toQueryString());
assertTrue(res.contains("Must provide one or two models in the request"));
}
@Test
public void ltrModelIdDoesNotExistTest() throws Exception {
final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.add("fl", "*, score");
query.add("rows", "4");
query.add("fv", "true");
query.add("rq", "{!ltr model=-1 reRankDocs=100}");
final String res = restTestHarness.query("/query" + query.toQueryString());
assertTrue(res.contains("cannot find model"));
}
@Test
public void ltrModelIsEmptyTest() throws Exception {
final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.add("fl", "*, score");
query.add("rows", "4");
query.add("fv", "true");
query.add("rq", "{!ltr model=\"\" reRankDocs=100}");
final String res = restTestHarness.query("/query" + query.toQueryString());
assertTrue(res.contains("the model 0 is empty"));
}
@Test
public void ltrBadRerankDocsTest() throws Exception {
final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.add("fl", "*, score");
query.add("rows", "4");
query.add("fv", "true");
query.add("rq", "{!ltr model=6029760550880411648 reRankDocs=-1}");
final String res = restTestHarness.query("/query" + query.toQueryString());
assertTrue(res.contains("Must rerank at least 1 document"));
}
@Test
public void ltrMoreResultsThanReRankedTest() throws Exception {
final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.add("fl", "*, score");
query.add("rows", "4");
query.add("fv", "true");
// FIXME: design better way to test this, we cannot check an absolute score
// String nonRerankedScore = "0.09271725";
// Normal solr order
assertJQ(
"/query" + query.toQueryString(),
"/response/docs/[0]/id=='9'",
"/response/docs/[1]/id=='8'",
"/response/docs/[2]/id=='7'",
"/response/docs/[3]/id=='6'"
// "/response/docs/[3]/score=="+nonRerankedScore
);
query.add("rq", "{!ltr model=6029760550880411648 reRankDocs=3}");
// Different order for top 3 reranked, but last one is the same top nonreranked doc
assertJQ(
"/query" + query.toQueryString(),
"/response/docs/[0]/id=='7'",
"/response/docs/[1]/id=='8'",
"/response/docs/[2]/id=='9'",
"/response/docs/[3]/id=='6'"
// "/response/docs/[3]/score=="+nonRerankedScore
);
}
@Test
public void ltrNoResultsTest() throws Exception {
final SolrQuery query = new SolrQuery();
query.setQuery("title:bloomberg23");
query.add("fl", "*,[fv]");
query.add("rows", "3");
query.add("debugQuery", "on");
query.add("rq", "{!ltr reRankDocs=3 model=6029760550880411648}");
assertJQ("/query" + query.toQueryString(), "/response/numFound/==0");
}
@Test
public void ltr_expensiveFeatureRescoring_shouldTimeOutAndReturnPartialResults()
throws Exception {
/* One SolrFeature is defined: {!func}sleep(1000,999)
* It simulates a slow feature extraction, sleeping for 1000ms and returning 999 as a score when finished
* */
final String solrQuery = "_query_:{!edismax qf='id' v='8^=10 9^=5 7^=3 6^=1'}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.setFields("id", "score");
query.setRows(4);
query.setTimeAllowed(300);
query.add("fv", "true");
query.add("rq", "{!ltr model=slowModel reRankDocs=3}");
assertJQ(
"/query" + query.toQueryString(),
"/response/numFound/==4",
"/responseHeader/partialResults/==true",
"/responseHeader/partialResultsDetails/=='Limits exceeded! (Learning To Rank rescoring - "
+ "The full reranking didn\\'t complete. "
+ "If partial results are tolerated the reranking got reverted and "
+ "all documents preserved their original score and ranking.)"
+ ": Query limits: [TimeAllowedLimit:LIMIT EXCEEDED]'",
"/response/docs/[0]/id=='8'",
"/response/docs/[0]/score==10.0",
"/response/docs/[1]/id=='9'",
"/response/docs/[1]/score==5.0",
"/response/docs/[2]/id=='7'",
"/response/docs/[2]/score==3.0",
"/response/docs/[3]/id=='6'",
"/response/docs/[3]/score==1.0");
}
@Test
public void ltr_expensiveFeatureRescoringAndPartialResultsNotTolerated_shouldRaiseException()
throws Exception {
/* One SolrFeature is defined: {!func}sleep(1000,999)
* It simulates a slow feature extraction, sleeping for 1000ms and returning 999 as a score when finished
* */
final String solrQuery = "_query_:{!edismax qf='id' v='8^=10 9^=5 7^=3 6^=1'}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.setFields("id", "score");
query.setRows(4);
query.setTimeAllowed(300);
query.add("partialResults", "false");
query.add("fv", "true");
query.add("rq", "{!ltr model=slowModel reRankDocs=3}");
assertJQ(
"/query" + query.toQueryString(),
"/error/msg=='org.apache.solr.search.QueryLimitsExceededException: Limits exceeded! (Learning To Rank rescoring - "
+ "The full reranking didn\\'t complete. "
+ "If partial results are tolerated the reranking got reverted and all documents preserved their original score and ranking.)"
+ ": Query limits: [TimeAllowedLimit:LIMIT EXCEEDED]'");
}
@Test
public void ltr_expensiveFeatureRescoringWithinTimeAllowed_shouldReturnRerankedResults()
throws Exception {
/* One SolrFeature is defined: {!func}sleep(1000,999)
* It simulates a slow feature extraction, sleeping for 1000ms and returning 999 as a score when finished
* */
final String solrQuery = "_query_:{!edismax qf='id' v='8^=10 9^=5 7^=3 6^=1'}";
final SolrQuery query = new SolrQuery();
query.setQuery(solrQuery);
query.setFields("id", "score");
query.setRows(4);
query.setTimeAllowed(5000);
query.add("fv", "true");
query.add("rq", "{!ltr model=slowModel reRankDocs=3}");
assertJQ(
"/query" + query.toQueryString(),
"/response/numFound/==4",
"/response/docs/[0]/id=='7'",
"/response/docs/[0]/score==999.0",
"/response/docs/[1]/id=='8'",
"/response/docs/[1]/score==999.0",
"/response/docs/[2]/id=='9'",
"/response/docs/[2]/score==999.0",
"/response/docs/[3]/id=='6'",
// original score for the 4th document due to reRankDocs=3 limit
"/response/docs/[3]/score==1.0");
}
}