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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.elasticsearch.search.aggregations;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.bucket.InternalSingleBucketAggregation;
import org.elasticsearch.search.aggregations.metrics.max.InternalMax;
import org.elasticsearch.search.aggregations.metrics.min.InternalMin;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.test.InternalAggregationTestCase;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import static java.util.Collections.emptyList;
import static java.util.Collections.emptyMap;
public abstract class InternalSingleBucketAggregationTestCase<T extends InternalSingleBucketAggregation>
extends InternalAggregationTestCase<T> {
private final boolean hasInternalMax = randomBoolean();
private final boolean hasInternalMin = randomBoolean();
protected abstract T createTestInstance(String name, long docCount, InternalAggregations aggregations,
List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData);
protected abstract void extraAssertReduced(T reduced, List<T> inputs);
@Override
protected final T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
List<InternalAggregation> internal = new ArrayList<>();
if (hasInternalMax) {
internal.add(new InternalMax("max", randomDouble(), randomNumericDocValueFormat(), emptyList(), emptyMap()));
}
if (hasInternalMin) {
internal.add(new InternalMin("min", randomDouble(), randomNumericDocValueFormat(), emptyList(), emptyMap()));
}
// we shouldn't use the full long range here since we sum doc count on reduce, and don't want to overflow the long range there
long docCount = between(0, Integer.MAX_VALUE);
return createTestInstance(name, docCount, new InternalAggregations(internal), pipelineAggregators, metaData);
}
@Override
protected final void assertReduced(T reduced, List<T> inputs) {
assertEquals(inputs.stream().mapToLong(InternalSingleBucketAggregation::getDocCount).sum(), reduced.getDocCount());
if (hasInternalMax) {
double expected = inputs.stream().mapToDouble(i -> {
InternalMax max = i.getAggregations().get("max");
return max.getValue();
}).max().getAsDouble();
InternalMax reducedMax = reduced.getAggregations().get("max");
assertEquals(expected, reducedMax.getValue(), 0);
}
if (hasInternalMin) {
double expected = inputs.stream().mapToDouble(i -> {
InternalMin min = i.getAggregations().get("min");
return min.getValue();
}).min().getAsDouble();
InternalMin reducedMin = reduced.getAggregations().get("min");
assertEquals(expected, reducedMin.getValue(), 0);
}
extraAssertReduced(reduced, inputs);
}
}