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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
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4 changed files with 135 additions and 38 deletions
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@ -16,12 +16,17 @@ package google.registry.monitoring.metrics.contrib;
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import static com.google.common.truth.Truth.assertAbout;
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import com.google.common.base.Joiner;
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import com.google.common.collect.BoundType;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableSet;
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import com.google.common.collect.Range;
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import com.google.common.truth.FailureMetadata;
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import google.registry.monitoring.metrics.Distribution;
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import google.registry.monitoring.metrics.ImmutableDistribution;
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import google.registry.monitoring.metrics.Metric;
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import google.registry.monitoring.metrics.MetricPoint;
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import google.registry.monitoring.metrics.MutableDistribution;
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import java.util.Map;
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import javax.annotation.Nullable;
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@ -36,6 +41,8 @@ import javax.annotation.Nullable;
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* .hasNoOtherValues();
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* assertThat(myDistributionMetric)
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* .doesNotHaveAnyValueForLabels("label1", "label2");
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* assertThat(myDistributionMetric)
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* .hasDataSetForLabels(ImmutableSet.of(data1, data2, data3), "label1", "label2");
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* </pre>
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*
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* <p>The assertions treat an empty distribution as no value at all. This is not how the data is
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@ -94,4 +101,25 @@ public final class DistributionMetricSubject
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sb.append('}');
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return sb.toString();
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}
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/**
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* Asserts that the distribution for the given label can be constructed from the given data set.
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*
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* <p>Note that this only tests that the distribution has the same binned histogram as it would if
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* it had recorded the specified data points. It could have in fact collected different data
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* points that resulted in the same histogram, but that information is lost to us and cannot be
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* tested.
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*/
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public And<DistributionMetricSubject> hasDataSetForLabels(
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ImmutableSet<? extends Number> dataSet, String... labels) {
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ImmutableList<MetricPoint<Distribution>> metricPoints = actual().getTimestampedValues();
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if (metricPoints.isEmpty()) {
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failWithBadResults(
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"has a distribution for labels", Joiner.on(':').join(labels), "has", "no values");
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}
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MutableDistribution targetDistribution =
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new MutableDistribution(metricPoints.get(0).value().distributionFitter());
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dataSet.forEach(data -> targetDistribution.add(data.doubleValue()));
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return hasValueForLabels(ImmutableDistribution.copyOf(targetDistribution), labels);
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}
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}
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