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/*
* Copyright 2017, OpenCensus Authors
*
* 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.opencensus.implcore.stats;
import static com.google.common.truth.Truth.assertThat;
import com.google.common.collect.ImmutableMap;
import io.opencensus.common.Timestamp;
import io.opencensus.implcore.stats.MutableAggregation.MutableCount;
import io.opencensus.implcore.stats.MutableAggregation.MutableDistribution;
import io.opencensus.implcore.stats.MutableAggregation.MutableLastValue;
import io.opencensus.implcore.stats.MutableAggregation.MutableMean;
import io.opencensus.implcore.stats.MutableAggregation.MutableSum;
import io.opencensus.stats.Aggregation.Count;
import io.opencensus.stats.Aggregation.Distribution;
import io.opencensus.stats.Aggregation.LastValue;
import io.opencensus.stats.Aggregation.Mean;
import io.opencensus.stats.Aggregation.Sum;
import io.opencensus.stats.AggregationData;
import io.opencensus.stats.AggregationData.CountData;
import io.opencensus.stats.AggregationData.DistributionData;
import io.opencensus.stats.AggregationData.LastValueDataDouble;
import io.opencensus.stats.AggregationData.LastValueDataLong;
import io.opencensus.stats.AggregationData.MeanData;
import io.opencensus.stats.AggregationData.SumDataDouble;
import io.opencensus.stats.AggregationData.SumDataLong;
import io.opencensus.stats.BucketBoundaries;
import io.opencensus.stats.Measure.MeasureDouble;
import io.opencensus.stats.Measure.MeasureLong;
import io.opencensus.tags.TagKey;
import io.opencensus.tags.TagValue;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
/** Tests for {@link MutableViewData}. */
@RunWith(JUnit4.class)
public class MutableViewDataTest {
private static final double EPSILON = 1e-7;
private static final TagKey ORIGINATOR = TagKey.create("originator");
private static final TagKey CALLER = TagKey.create("caller");
private static final TagKey METHOD = TagKey.create("method");
private static final TagValue CALLER_V = TagValue.create("some caller");
private static final TagValue METHOD_V = TagValue.create("some method");
private static final MeasureDouble MEASURE_DOUBLE =
MeasureDouble.create("measure1", "description", "1");
private static final MeasureLong MEASURE_LONG =
MeasureLong.create("measure2", "description", "1");
@Test
public void testConstants() {
assertThat(MutableViewData.UNKNOWN_TAG_VALUE).isNull();
assertThat(MutableViewData.ZERO_TIMESTAMP).isEqualTo(Timestamp.create(0, 0));
}
@Test
public void testGetTagValues() {
List<TagKey> columns = Arrays.asList(CALLER, METHOD, ORIGINATOR);
Map<TagKey, TagValue> tags = ImmutableMap.of(CALLER, CALLER_V, METHOD, METHOD_V);
assertThat(MutableViewData.getTagValues(tags, columns))
.containsExactly(CALLER_V, METHOD_V, MutableViewData.UNKNOWN_TAG_VALUE)
.inOrder();
}
@Test
public void createMutableAggregation() {
BucketBoundaries bucketBoundaries = BucketBoundaries.create(Arrays.asList(-1.0, 0.0, 1.0));
assertThat(((MutableSum) MutableViewData.createMutableAggregation(Sum.create())).getSum())
.isWithin(EPSILON)
.of(0.0);
assertThat(((MutableCount) MutableViewData.createMutableAggregation(Count.create())).getCount())
.isEqualTo(0L);
assertThat(((MutableMean) MutableViewData.createMutableAggregation(Mean.create())).getMean())
.isWithin(EPSILON)
.of(0D);
assertThat(
((MutableLastValue) MutableViewData.createMutableAggregation(LastValue.create()))
.getLastValue())
.isNaN();
MutableDistribution mutableDistribution =
(MutableDistribution)
MutableViewData.createMutableAggregation(Distribution.create(bucketBoundaries));
assertThat(mutableDistribution.getMin()).isPositiveInfinity();
assertThat(mutableDistribution.getMax()).isNegativeInfinity();
assertThat(mutableDistribution.getSumOfSquaredDeviations()).isWithin(EPSILON).of(0);
assertThat(mutableDistribution.getBucketCounts()).isEqualTo(new long[4]);
}
@Test
public void createAggregationData() {
BucketBoundaries bucketBoundaries = BucketBoundaries.create(Arrays.asList(-1.0, 0.0, 1.0));
List<AggregationData> aggregates = new ArrayList<AggregationData>();
aggregates.add(MutableViewData.createAggregationData(MutableSum.create(), MEASURE_DOUBLE));
aggregates.add(MutableViewData.createAggregationData(MutableSum.create(), MEASURE_LONG));
aggregates.add(
MutableViewData.createAggregationData(MutableLastValue.create(), MEASURE_DOUBLE));
aggregates.add(MutableViewData.createAggregationData(MutableLastValue.create(), MEASURE_LONG));
List<MutableAggregation> mutableAggregations =
Arrays.asList(
MutableCount.create(),
MutableMean.create(),
MutableDistribution.create(bucketBoundaries));
for (MutableAggregation mutableAggregation : mutableAggregations) {
aggregates.add(MutableViewData.createAggregationData(mutableAggregation, MEASURE_DOUBLE));
}
assertThat(aggregates)
.containsExactly(
SumDataDouble.create(0),
SumDataLong.create(0),
LastValueDataDouble.create(Double.NaN),
LastValueDataLong.create(0),
CountData.create(0),
MeanData.create(0, 0),
DistributionData.create(
0,
0,
Double.POSITIVE_INFINITY,
Double.NEGATIVE_INFINITY,
0,
Arrays.asList(new Long[] {0L, 0L, 0L, 0L})))
.inOrder();
}
}
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