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@opencensus/core

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OpenCensus is a toolkit for collecting application performance and behavior data.

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"use strict"; /** * Copyright 2019, 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. */ Object.defineProperty(exports, "__esModule", { value: true }); exports.DerivedCumulative = void 0; const time_util_1 = require("../../common/time-util"); const validations_1 = require("../../common/validations"); const util = require("../utils"); /** * DerivedCumulative metric is used to record aggregated metrics that * represents a single numerical value accumulated over a time interval. */ class DerivedCumulative { /** * Constructs a new DerivedCumulative instance. * * @param name The name of the metric. * @param description The description of the metric. * @param unit The unit of the metric. * @param type The type of metric. * @param labelKeys The list of the label keys. * @param constantLabels The map of constant labels for the Metric. * @param startTime The time when the cumulative metric start measuring the * value. */ constructor(name, description, unit, type, labelKeys, constantLabels, startTime) { this.constantLabels = constantLabels; this.registeredPoints = new Map(); this.labelKeysLength = labelKeys.length; const keysAndConstantKeys = [...labelKeys, ...constantLabels.keys()]; this.constantLabelValues = [...constantLabels.values()]; this.metricDescriptor = { name, description, unit, type, labelKeys: keysAndConstantKeys, }; this.startTime = startTime; } /** * Creates a TimeSeries. The value of a single point in the TimeSeries is * observed from an object or function. The ValueExtractor is invoked whenever * metrics are collected, meaning the reported value is up-to-date. * * @param labelValues The list of the label values. * @param objOrFn obj The obj to get the size or length or value from. If * multiple options are available, the value (ToValueInterface) takes * precedence first, followed by length and size. e.g value -> length -> * size. * fn is the function that will be called to get the current value * of the cumulative. */ createTimeSeries(labelValues, objOrFn) { validations_1.validateArrayElementsNotNull(validations_1.validateNotNull(labelValues, 'labelValues'), 'labelValue'); validations_1.validateNotNull(objOrFn, 'obj'); const hash = util.hashLabelValues(labelValues); if (this.registeredPoints.has(hash)) { throw new Error('A different time series with the same labels already exists.'); } if (this.labelKeysLength !== labelValues.length) { throw new Error("Label Keys and Label Values don't have same size"); } if (objOrFn instanceof Function) { this.extractor = objOrFn; } else if (util.isToValueInterface(objOrFn)) { this.extractor = () => objOrFn.getValue(); } else if (util.isLengthAttributeInterface(objOrFn)) { this.extractor = () => objOrFn.length; } else if (util.isLengthMethodInterface(objOrFn)) { this.extractor = () => objOrFn.length(); } else if (util.isSizeAttributeInterface(objOrFn)) { this.extractor = () => objOrFn.size; } else if (util.isSizeMethodInterface(objOrFn)) { this.extractor = () => objOrFn.size(); } else { throw new Error('Unknown interface/object type'); } this.registeredPoints.set(hash, { labelValues, extractor: this.extractor, prevValue: 0, }); } /** * Removes the TimeSeries from the cumulative metric, if it is present. i.e. * references to previous Point objects are invalid (not part of the * metric). * * @param labelValues The list of label values. */ removeTimeSeries(labelValues) { validations_1.validateNotNull(labelValues, 'labelValues'); this.registeredPoints.delete(util.hashLabelValues(labelValues)); } /** * Removes all TimeSeries from the cumulative metric. i.e. references to all * previous Point objects are invalid (not part of the metric). */ clear() { this.registeredPoints.clear(); } /** * Provides a Metric with one or more TimeSeries. * * @returns The Metric, or null if TimeSeries is not present in Metric. */ getMetric() { if (this.registeredPoints.size === 0) { return null; } const timestamp = time_util_1.getTimestampWithProcessHRTime(); return { descriptor: this.metricDescriptor, timeseries: Array.from(this.registeredPoints, ([_, cumulativeEntry]) => { const newValue = cumulativeEntry.extractor(); const value = newValue > cumulativeEntry.prevValue ? newValue : cumulativeEntry.prevValue; cumulativeEntry.prevValue = value; return { labelValues: [ ...cumulativeEntry.labelValues, ...this.constantLabelValues, ], points: [{ value, timestamp }], startTimestamp: this.startTime, }; }), }; } } exports.DerivedCumulative = DerivedCumulative; //# sourceMappingURL=derived-cumulative.js.map