io.seldon.recommendation.VariationTestingClientStrategyTest.java Source code

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Here is the source code for io.seldon.recommendation.VariationTestingClientStrategyTest.java

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/*
 * 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;

import io.seldon.recommendation.VariationTestingClientStrategy.Variation;
import io.seldon.recommendation.combiner.AlgorithmResultsCombiner;

import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Random;

import junit.framework.Assert;

import org.apache.commons.lang.math.NumberRange;
import org.junit.Test;

public class VariationTestingClientStrategyTest {

    public static class TestStrategy implements ClientStrategy {

        String name;

        public TestStrategy(String name) {
            super();
            this.name = name;
        }

        @Override
        public Double getDiversityLevel(String userId, String recTag) {
            // TODO Auto-generated method stub
            return null;
        }

        @Override
        public List<AlgorithmStrategy> getAlgorithms(String userId, String recTag) {
            // TODO Auto-generated method stub
            return null;
        }

        @Override
        public AlgorithmResultsCombiner getAlgorithmResultsCombiner(String userId, String recTag) {
            // TODO Auto-generated method stub
            return null;
        }

        @Override
        public String getName(String userId, String recTag) {
            return name;
        }

        @Override
        public Map<Integer, Double> getActionsWeights(String userId, String recTag) {
            // TODO Auto-generated method stub
            return null;
        }

    }

    @Test
    public void testSampling() {
        List<Variation> variations = new ArrayList<Variation>();
        int max = 4;
        double ratio = 1 / (max * 1.0);
        for (int i = 1; i <= max; i++) {
            ClientStrategy s = new TestStrategy("" + i);
            Variation v = new Variation(s, new BigDecimal(ratio));
            variations.add(v);
        }
        VariationTestingClientStrategy v = VariationTestingClientStrategy.build(variations);
        Random r = new Random();
        int[] sTot = new int[max];
        int sampleSize = 10000000;
        for (int i = 0; i < sampleSize; i++) {
            String userId = "u" + r.nextLong();
            ClientStrategy s = v.sample(userId);
            Assert.assertNotNull(s);
            int index = Integer.parseInt(s.getName(null, null)) - 1;
            sTot[index] += 1;
        }
        Assert.assertEquals(1 / (max * 1.0), sTot[0] / (sampleSize * 1.0), 0.001);
    }

    @Test
    public void rangeTest() {
        BigDecimal ratioTotal = new BigDecimal(1.0);
        BigDecimal currentMax = new BigDecimal(0.0);
        BigDecimal r1 = new BigDecimal(0.9);
        BigDecimal r2 = new BigDecimal(0.1);
        NumberRange range1 = new NumberRange(currentMax,
                currentMax.add(r1.divide(ratioTotal, 5, BigDecimal.ROUND_UP)));
        currentMax = currentMax.add(r1);
        NumberRange range2 = new NumberRange(currentMax.add(new BigDecimal(0.0001)),
                currentMax.add(r2.divide(ratioTotal, 5, BigDecimal.ROUND_UP)));
        BigDecimal t = new BigDecimal(0.900001);
        Assert.assertTrue(range1.containsNumber(t));
        Assert.assertFalse(range2.containsNumber(t));
        BigDecimal t2 = new BigDecimal(0.901);
        Assert.assertFalse(range1.containsNumber(t2));
        Assert.assertTrue(range2.containsNumber(t2));

    }

}