Examples with BucketOptions io.opencensus.metrics.export.Distribution.BucketOptions used on opensource projects

Example 6 with BucketOptions

use of io.opencensus.metrics.export.Distribution.BucketOptions in project instrumentation-java by census-instrumentation.

the class DistributionTest method createDistribution_NullBucket.

@Test
public void createDistribution_NullBucket() {
    List<Double> bucketBounds = Arrays.asList(1.0, 2.0, 5.0);
    BucketOptions bucketOptions = BucketOptions.explicitOptions(bucketBounds);
    List<Bucket> buckets = Arrays.asList(Bucket.create(3), Bucket.create(1), null, Bucket.create(4));
    thrown.expect(NullPointerException.class);
    thrown.expectMessage("bucket");
    Distribution.create(10, 6.6, 678.54, bucketOptions, buckets);
}

Example 7 with BucketOptions

use of io.opencensus.metrics.export.Distribution.BucketOptions in project instrumentation-java by census-instrumentation.

the class DistributionTest method createDistribution_ZeroCountAndSumOfSquaredDeviations.

@Test
public void createDistribution_ZeroCountAndSumOfSquaredDeviations() {
    List<Double> bucketBounds = Arrays.asList(1.0, 2.0, 5.0);
    BucketOptions bucketOptions = BucketOptions.explicitOptions(bucketBounds);
    List<Bucket> buckets = Arrays.asList(Bucket.create(0), Bucket.create(0), Bucket.create(0), Bucket.create(0));
    thrown.expect(IllegalArgumentException.class);
    thrown.expectMessage("sum of squared deviations should be 0 if count is 0.");
    Distribution.create(0, 0, 678.54, bucketOptions, buckets);
}

Example 8 with BucketOptions

use of io.opencensus.metrics.export.Distribution.BucketOptions in project instrumentation-java by census-instrumentation.

the class DistributionTest method createDistribution_NegativeSumOfSquaredDeviations.

@Test
public void createDistribution_NegativeSumOfSquaredDeviations() {
    List<Double> bucketBounds = Arrays.asList(1.0, 2.0, 5.0);
    BucketOptions bucketOptions = BucketOptions.explicitOptions(bucketBounds);
    List<Bucket> buckets = Arrays.asList(Bucket.create(0), Bucket.create(0), Bucket.create(0), Bucket.create(0));
    thrown.expect(IllegalArgumentException.class);
    thrown.expectMessage("sum of squared deviations should be non-negative.");
    Distribution.create(0, 6.6, -678.54, bucketOptions, buckets);
}

Example 9 with BucketOptions

use of io.opencensus.metrics.export.Distribution.BucketOptions in project instrumentation-java by census-instrumentation.

the class DistributionTest method createAndGet_ExplicitBucketsEmptyBounds.

@Test
public void createAndGet_ExplicitBucketsEmptyBounds() {
    List<Double> bucketBounds = new ArrayList<Double>();
    BucketOptions bucketOptions = BucketOptions.explicitOptions(bucketBounds);
    final List<Double> actual = new ArrayList<Double>();
    bucketOptions.match(new Function<ExplicitOptions, Object>() {

        @Override
        public Object apply(ExplicitOptions arg) {
            actual.addAll(arg.getBucketBoundaries());
            return null;
        }
    }, Functions.throwAssertionError());
    assertThat(actual).isEmpty();
}

Example 10 with BucketOptions

use of io.opencensus.metrics.export.Distribution.BucketOptions in project instrumentation-java by census-instrumentation.

the class PrometheusExportUtils method getSamples.

// Converts a point value in Metric to a list of Prometheus Samples.
@VisibleForTesting
static List<Sample> getSamples(final String name, final List<String> labelNames, List<LabelValue> labelValuesList, Value value) {
    Preconditions.checkArgument(labelNames.size() == labelValuesList.size(), "Keys and Values don't have same size.");
    final List<Sample> samples = Lists.newArrayList();
    final List<String> labelValues = new ArrayList<String>(labelValuesList.size());
    for (LabelValue labelValue : labelValuesList) {
        String val = labelValue == null ? "" : labelValue.getValue();
        labelValues.add(val == null ? "" : val);
    }
    return value.match(new Function<Double, List<Sample>>() {

        @Override
        public List<Sample> apply(Double arg) {
            samples.add(new Sample(name, labelNames, labelValues, arg));
            return samples;
        }
    }, new Function<Long, List<Sample>>() {

        @Override
        public List<Sample> apply(Long arg) {
            samples.add(new Sample(name, labelNames, labelValues, arg));
            return samples;
        }
    }, new Function<Distribution, List<Sample>>() {

        @Override
        public List<Sample> apply(final Distribution arg) {
            BucketOptions bucketOptions = arg.getBucketOptions();
            List<Double> boundaries = new ArrayList<>();
            if (bucketOptions != null) {
                boundaries = bucketOptions.match(new Function<ExplicitOptions, List<Double>>() {

                    @Override
                    public List<Double> apply(ExplicitOptions arg) {
                        return arg.getBucketBoundaries();
                    }
                }, Functions.<List<Double>>throwIllegalArgumentException());
            }
            List<String> labelNamesWithLe = new ArrayList<String>(labelNames);
            labelNamesWithLe.add(LABEL_NAME_BUCKET_BOUND);
            long cumulativeCount = 0;
            for (int i = 0; i < arg.getBuckets().size(); i++) {
                List<String> labelValuesWithLe = new ArrayList<String>(labelValues);
                // The label value of "le" is the upper inclusive bound.
                // For the last bucket, it should be "+Inf".
                String bucketBoundary = doubleToGoString(i < boundaries.size() ? boundaries.get(i) : Double.POSITIVE_INFINITY);
                labelValuesWithLe.add(bucketBoundary);
                cumulativeCount += arg.getBuckets().get(i).getCount();
                samples.add(new MetricFamilySamples.Sample(name + SAMPLE_SUFFIX_BUCKET, labelNamesWithLe, labelValuesWithLe, cumulativeCount));
            }
            samples.add(new MetricFamilySamples.Sample(name + SAMPLE_SUFFIX_COUNT, labelNames, labelValues, arg.getCount()));
            samples.add(new MetricFamilySamples.Sample(name + SAMPLE_SUFFIX_SUM, labelNames, labelValues, arg.getSum()));
            return samples;
        }
    }, new Function<Summary, List<Sample>>() {

        @Override
        public List<Sample> apply(Summary arg) {
            Long count = arg.getCount();
            if (count != null) {
                samples.add(new MetricFamilySamples.Sample(name + SAMPLE_SUFFIX_COUNT, labelNames, labelValues, count));
            }
            Double sum = arg.getSum();
            if (sum != null) {
                samples.add(new MetricFamilySamples.Sample(name + SAMPLE_SUFFIX_SUM, labelNames, labelValues, sum));
            }
            List<ValueAtPercentile> valueAtPercentiles = arg.getSnapshot().getValueAtPercentiles();
            List<String> labelNamesWithQuantile = new ArrayList<String>(labelNames);
            labelNamesWithQuantile.add(LABEL_NAME_QUANTILE);
            for (ValueAtPercentile valueAtPercentile : valueAtPercentiles) {
                List<String> labelValuesWithQuantile = new ArrayList<String>(labelValues);
                labelValuesWithQuantile.add(doubleToGoString(valueAtPercentile.getPercentile() / 100));
                samples.add(new MetricFamilySamples.Sample(name, labelNamesWithQuantile, labelValuesWithQuantile, valueAtPercentile.getValue()));
            }
            return samples;
        }
    }, Functions.<List<Sample>>throwIllegalArgumentException());
}