/*
* Seldon -- open source prediction engine
* =======================================
*
* Copyright 2011-2015 Seldon Technologies Ltd and Rummble Ltd (http://www.seldon.io/)
*
* ********************************************************************************************
*
* Licensed 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 io.seldon.recommendation.combiner;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
import io.seldon.clustering.recommender.ItemRecommendationResultSet;
import io.seldon.recommendation.RecommendationPeer.RecResultContext;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
public class RankSumCombinerTest {
RecResultContext emptySet;
RecResultContext notEnoughInEachSet;
RecResultContext sufficientSet;
RecResultContext plentySet;
List<ItemRecommendationResultSet.ItemRecommendationResult> notEnoughInEachList;
List<ItemRecommendationResultSet.ItemRecommendationResult> sufficientList;
List<ItemRecommendationResultSet.ItemRecommendationResult> plentyList;
ItemRecommendationResultSet.ItemRecommendationResult result1
= new ItemRecommendationResultSet.ItemRecommendationResult(1L, 1.0f);
ItemRecommendationResultSet.ItemRecommendationResult result2
= new ItemRecommendationResultSet.ItemRecommendationResult(2L, 2.0f);
ItemRecommendationResultSet.ItemRecommendationResult result3
= new ItemRecommendationResultSet.ItemRecommendationResult(3L, 3.0f);
ItemRecommendationResultSet.ItemRecommendationResult result3Ranked
= new ItemRecommendationResultSet.ItemRecommendationResult(3L, 2.0f);
ItemRecommendationResultSet.ItemRecommendationResult result2Ranked
= new ItemRecommendationResultSet.ItemRecommendationResult(2L, 3.0f);
ItemRecommendationResultSet.ItemRecommendationResult result1Ranked
= new ItemRecommendationResultSet.ItemRecommendationResult(1L, 1.0f);
List<ItemRecommendationResultSet.ItemRecommendationResult> expectedRankSumList;
@Before
public void setup(){
notEnoughInEachList = Arrays.asList(result1);
sufficientList = Arrays.asList(result2, result1);
plentyList = Arrays.asList(result3, result2, result1);
emptySet = RecResultContext.EMPTY;
notEnoughInEachSet = new RecResultContext(new ItemRecommendationResultSet(notEnoughInEachList, "notEnoguth"),"notEnoguth");
sufficientSet = new RecResultContext(new ItemRecommendationResultSet(sufficientList, "sufficient"),"sufficient");
plentySet = new RecResultContext(new ItemRecommendationResultSet(plentyList, "plenty"),"plenty");
expectedRankSumList = Arrays.asList(result2, result3, result1);
}
@Test
public void isEnoughMethodShouldWorkCorrectly(){
RankSumCombiner combiner = new RankSumCombiner(2,true);
assertFalse(combiner.isEnoughResults(2, new ArrayList<RecResultContext>()));
assertFalse(combiner.isEnoughResults(2, Arrays.asList(notEnoughInEachSet, emptySet )));
assertFalse(combiner.isEnoughResults(2, Arrays.asList(notEnoughInEachSet, notEnoughInEachSet)));
assertFalse(combiner.isEnoughResults(2, Arrays.asList(sufficientSet)));
assertTrue(combiner.isEnoughResults(2,Arrays.asList(sufficientSet, sufficientSet)));
}
@Test
public void shouldCombineResultsForRankSum(){
RankSumCombiner combiner = new RankSumCombiner(2,false);
RecResultContext result = combiner.combine(2, Arrays.asList(sufficientSet));
assertEquals(sufficientSet.resultSet, result.resultSet);
result = combiner.combine(2, Arrays.asList(emptySet,sufficientSet));
assertEquals(sufficientSet.resultSet, result.resultSet);
result = combiner.combine(2, Arrays.asList(notEnoughInEachSet, sufficientSet)); // allows both into result
assertEquals(new ItemRecommendationResultSet(Arrays.asList(result1Ranked, result2Ranked), "plenty"), result.resultSet);
result = combiner.combine(2, Arrays.asList(sufficientSet, plentySet));
assertEquals(new ItemRecommendationResultSet(Arrays.asList(result2Ranked, result3Ranked, result1Ranked), "plenty"), result.resultSet);
}
@Test
public void testStrictMode(){
RankSumCombiner combiner = new RankSumCombiner(2,true);
RecResultContext result = combiner.combine(2, Arrays.asList(notEnoughInEachSet, sufficientSet));
assertEquals(sufficientSet.resultSet, result.resultSet);
}
}