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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.bucket.range.date;
import org.elasticsearch.common.collect.Tuple;
import org.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.bucket.range.InternalRangeTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;
import org.junit.Before;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
public class InternalDateRangeTests extends InternalRangeTestCase<InternalDateRange> {
private DocValueFormat format;
private List<Tuple<Double, Double>> dateRanges;
@Override
@Before
public void setUp() throws Exception {
super.setUp();
format = randomNumericDocValueFormat();
Function<DateTime, DateTime> interval = randomFrom(dateTime -> dateTime.plusSeconds(1), dateTime -> dateTime.plusMinutes(1),
dateTime -> dateTime.plusHours(1), dateTime -> dateTime.plusDays(1), dateTime -> dateTime.plusMonths(1), dateTime ->
dateTime.plusYears(1));
final int numRanges = randomIntBetween(1, 10);
final List<Tuple<Double, Double>> listOfRanges = new ArrayList<>(numRanges);
DateTime date = new DateTime(DateTimeZone.UTC);
double start = date.getMillis();
double end = 0;
for (int i = 0; i < numRanges; i++) {
double from = date.getMillis();
date = interval.apply(date);
double to = date.getMillis();
listOfRanges.add(Tuple.tuple(from, to));
if (to > end) {
end = to;
}
}
if (randomBoolean()) {
final int randomOverlaps = randomIntBetween(1, 5);
for (int i = 0; i < randomOverlaps; i++) {
listOfRanges.add(Tuple.tuple(start, randomDoubleBetween(start, end, false)));
}
}
dateRanges = Collections.unmodifiableList(listOfRanges);
}
@Override
protected InternalDateRange createTestInstance(String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData,
boolean keyed) {
final List<InternalDateRange.Bucket> buckets = new ArrayList<>();
for (int i = 0; i < dateRanges.size(); ++i) {
Tuple<Double, Double> range = dateRanges.get(i);
int docCount = randomIntBetween(0, 1000);
double from = range.v1();
double to = range.v2();
buckets.add( new InternalDateRange.Bucket("range_" + i, from, to, docCount, InternalAggregations.EMPTY, keyed, format));
}
return new InternalDateRange(name, buckets, format, keyed, pipelineAggregators, metaData);
}
@Override
protected Writeable.Reader<InternalDateRange> instanceReader() {
return InternalDateRange::new;
}
}
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