Add a convenient method to DistributionMetricSubject

Currently to assert that a given Metric<Distribution> as a certain distribution for some labels, the caller needs to manually create an ImmutableDistribution and pass it to #hasValueForLabels method. With this change, an ImmutableSet of data points can be passed to #hasDataSetForLabels method.

Also switched to use expectThrow backport from JUnit 4.13.

-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=173544521
This commit is contained in:
jianglai 2017-10-26 09:01:26 -07:00
parent 4a9b8b918a
commit 4a5b9fc288
4 changed files with 135 additions and 38 deletions

View file

@ -16,12 +16,17 @@ package google.registry.monitoring.metrics.contrib;
import static com.google.common.truth.Truth.assertAbout;
import com.google.common.base.Joiner;
import com.google.common.collect.BoundType;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Range;
import com.google.common.truth.FailureMetadata;
import google.registry.monitoring.metrics.Distribution;
import google.registry.monitoring.metrics.ImmutableDistribution;
import google.registry.monitoring.metrics.Metric;
import google.registry.monitoring.metrics.MetricPoint;
import google.registry.monitoring.metrics.MutableDistribution;
import java.util.Map;
import javax.annotation.Nullable;
@ -36,6 +41,8 @@ import javax.annotation.Nullable;
* .hasNoOtherValues();
* assertThat(myDistributionMetric)
* .doesNotHaveAnyValueForLabels("label1", "label2");
* assertThat(myDistributionMetric)
* .hasDataSetForLabels(ImmutableSet.of(data1, data2, data3), "label1", "label2");
* </pre>
*
* <p>The assertions treat an empty distribution as no value at all. This is not how the data is
@ -94,4 +101,25 @@ public final class DistributionMetricSubject
sb.append('}');
return sb.toString();
}
/**
* Asserts that the distribution for the given label can be constructed from the given data set.
*
* <p>Note that this only tests that the distribution has the same binned histogram as it would if
* it had recorded the specified data points. It could have in fact collected different data
* points that resulted in the same histogram, but that information is lost to us and cannot be
* tested.
*/
public And<DistributionMetricSubject> hasDataSetForLabels(
ImmutableSet<? extends Number> dataSet, String... labels) {
ImmutableList<MetricPoint<Distribution>> metricPoints = actual().getTimestampedValues();
if (metricPoints.isEmpty()) {
failWithBadResults(
"has a distribution for labels", Joiner.on(':').join(labels), "has", "no values");
}
MutableDistribution targetDistribution =
new MutableDistribution(metricPoints.get(0).value().distributionFitter());
dataSet.forEach(data -> targetDistribution.add(data.doubleValue()));
return hasValueForLabels(ImmutableDistribution.copyOf(targetDistribution), labels);
}
}