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/*
* 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.search.aggregations.metrics.percentiles;
import com.carrotsearch.randomizedtesting.annotations.Repeat;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregationTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.junit.Before;
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
public abstract class AbstractPercentilesTestCase<T extends InternalAggregation & Iterable<Percentile>>
extends InternalAggregationTestCase<T> {
private double[] percents;
private boolean keyed;
private DocValueFormat docValueFormat;
@Before
public void init() {
percents = randomPercents();
keyed = randomBoolean();
docValueFormat = randomNumericDocValueFormat();
}
@Override
protected T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
int numValues = randomInt(100);
double[] values = new double[numValues];
for (int i = 0; i < numValues; ++i) {
values[i] = randomDouble();
}
return createTestInstance(name, pipelineAggregators, metaData, keyed, docValueFormat, percents, values);
}
protected abstract T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData,
boolean keyed, DocValueFormat format, double[] percents, double[] values);
protected abstract Class<? extends ParsedPercentiles> implementationClass();
@Repeat(iterations = 1000)
public void testPercentilesIterators() throws IOException {
final T aggregation = createTestInstance();
final Iterable<Percentile> parsedAggregation = parse(aggregation, randomFrom(XContentType.values()), randomBoolean(), false);
Iterator<Percentile> it = aggregation.iterator();
Iterator<Percentile> parsedIt = parsedAggregation.iterator();
while (it.hasNext()) {
assertEquals(it.next(), parsedIt.next());
}
}
private static double[] randomPercents() {
List<Double> randomCdfValues = randomSubsetOf(randomIntBetween(1, 7), 0.01d, 0.05d, 0.25d, 0.50d, 0.75d, 0.95d, 0.99d);
double[] percents = new double[randomCdfValues.size()];
for (int i = 0; i < randomCdfValues.size(); i++) {
percents[i] = randomCdfValues.get(i);
}
return percents;
}
}
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