100 lines
2.9 KiB
TypeScript
100 lines
2.9 KiB
TypeScript
/*
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* Copyright The OpenTelemetry Authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import * as assert from 'assert';
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import {
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AggregationTemporality,
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AggregationType,
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DataPoint,
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ExponentialHistogram,
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Histogram,
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MeterProvider,
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} from '../../src';
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import { TestMetricReader } from '../export/TestMetricReader';
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import { IMetricReader } from '../../src/export/MetricReader';
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describe('histogram-recording-nan', () => {
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it('exponential histogram should not count NaN', async () => {
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const reader = new TestMetricReader({
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aggregationTemporalitySelector() {
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return AggregationTemporality.CUMULATIVE;
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},
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aggregationSelector(type) {
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return { type: AggregationType.EXPONENTIAL_HISTOGRAM };
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},
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});
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const meterProvider = new MeterProvider({
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readers: [reader],
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});
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const meter = meterProvider.getMeter('my-meter');
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const hist = meter.createHistogram('testhist');
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hist.record(1);
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hist.record(2);
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hist.record(4);
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hist.record(NaN);
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const resourceMetrics1 = await collectNoErrors(reader);
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const dataPoint1 = resourceMetrics1.scopeMetrics[0].metrics[0]
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.dataPoints[0] as DataPoint<ExponentialHistogram>;
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assert.deepStrictEqual(
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dataPoint1.value.count,
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3,
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'Sum of bucket count values should match overall count'
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);
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});
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it('explicit bucket histogram should not count NaN', async () => {
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const reader = new TestMetricReader({
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aggregationTemporalitySelector() {
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return AggregationTemporality.CUMULATIVE;
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},
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aggregationSelector(type) {
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return { type: AggregationType.EXPLICIT_BUCKET_HISTOGRAM };
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},
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});
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const meterProvider = new MeterProvider({
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readers: [reader],
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});
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const meter = meterProvider.getMeter('my-meter');
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const hist = meter.createHistogram('testhist');
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hist.record(1);
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hist.record(2);
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hist.record(4);
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hist.record(NaN);
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const resourceMetrics1 = await collectNoErrors(reader);
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const dataPoint1 = resourceMetrics1.scopeMetrics[0].metrics[0]
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.dataPoints[0] as DataPoint<Histogram>;
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assert.deepStrictEqual(
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dataPoint1.value.count,
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3,
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'Sum of bucket count values should match overall count'
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);
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});
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const collectNoErrors = async (reader: IMetricReader) => {
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const { resourceMetrics, errors } = await reader.collect();
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assert.strictEqual(errors.length, 0);
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return resourceMetrics;
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};
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});
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