X-Git-Url: https://git.piment-noir.org/?a=blobdiff_plain;f=tests%2Futils.test.js;h=0fc6dc8ac968ba885eb44186f91377b2126d7964;hb=4be58f3c4495ba79ee81aa32064bebea185a24b5;hp=f220927edc9cc180ba9740d4e191508194dd40b6;hpb=78ac1a90f8ebbe32f3b94c10f37cefe39090e9a3;p=poolifier.git diff --git a/tests/utils.test.js b/tests/utils.test.js index f220927e..0fc6dc8a 100644 --- a/tests/utils.test.js +++ b/tests/utils.test.js @@ -1,17 +1,73 @@ +const { randomInt } = require('crypto') +const { Worker } = require('worker_threads') +const cluster = require('cluster') const { expect } = require('expect') +const { + CircularArray, + DEFAULT_CIRCULAR_ARRAY_SIZE +} = require('../lib/circular-array') const { availableParallelism, + average, + exponentialDelay, + getWorkerType, + getWorkerId, isAsyncFunction, isKillBehavior, isPlainObject, median, - round + round, + secureRandom, + sleep, + updateMeasurementStatistics } = require('../lib/utils') -const { KillBehaviors } = require('../lib/worker/worker-options') +const { KillBehaviors, WorkerTypes } = require('../lib') describe('Utils test suite', () => { it('Verify availableParallelism() behavior', () => { - expect(typeof availableParallelism() === 'number').toBe(true) + const parallelism = availableParallelism() + expect(typeof parallelism === 'number').toBe(true) + expect(parallelism).toBeGreaterThan(0) + expect(Number.isSafeInteger(parallelism)).toBe(true) + }) + + it('Verify getWorkerType() behavior', () => { + expect( + getWorkerType(new Worker('./tests/worker-files/thread/testWorker.js')) + ).toBe(WorkerTypes.thread) + expect(getWorkerType(cluster.fork())).toBe(WorkerTypes.cluster) + }) + + it('Verify getWorkerId() behavior', () => { + const threadWorker = new Worker('./tests/worker-files/thread/testWorker.js') + const clusterWorker = cluster.fork() + expect(getWorkerId(threadWorker)).toBe(threadWorker.threadId) + expect(getWorkerId(clusterWorker)).toBe(clusterWorker.id) + }) + + it('Verify sleep() behavior', async () => { + const start = performance.now() + await sleep(1000) + const elapsed = performance.now() - start + expect(elapsed).toBeGreaterThanOrEqual(999) + }) + + it('Verify exponentialDelay() behavior', () => { + const delay = exponentialDelay(randomInt(1000)) + expect(typeof delay === 'number').toBe(true) + expect(delay).toBeGreaterThanOrEqual(Number.MIN_VALUE) + expect(delay).toBeLessThanOrEqual(Number.MAX_VALUE) + }) + + it('Verify average() computation', () => { + expect(average([])).toBe(0) + expect(average([0.08])).toBe(0.08) + expect(average([0.25, 4.75, 3.05, 6.04, 1.01, 2.02, 5.03])).toBe( + 3.1642857142857146 + ) + expect(average([0.25, 4.75, 3.05, 6.04, 1.01, 2.02])).toBe( + 2.8533333333333335 + ) }) it('Verify median() computation', () => { @@ -125,4 +181,98 @@ describe('Utils test suite', () => { expect(isAsyncFunction(async function () {})).toBe(true) expect(isAsyncFunction(async function named () {})).toBe(true) }) + + it('Verify updateMeasurementStatistics() behavior', () => { + const measurementStatistics = { + history: new CircularArray() + } + updateMeasurementStatistics( + measurementStatistics, + { aggregate: true, average: false, median: false }, + 0.01 + ) + expect(measurementStatistics).toStrictEqual({ + aggregate: 0.01, + maximum: 0.01, + minimum: 0.01, + history: new CircularArray() + }) + updateMeasurementStatistics( + measurementStatistics, + { aggregate: true, average: false, median: false }, + 0.02 + ) + expect(measurementStatistics).toStrictEqual({ + aggregate: 0.03, + maximum: 0.02, + minimum: 0.01, + history: new CircularArray() + }) + updateMeasurementStatistics( + measurementStatistics, + { aggregate: true, average: true, median: false }, + 0.001 + ) + expect(measurementStatistics).toStrictEqual({ + aggregate: 0.031, + maximum: 0.02, + minimum: 0.001, + average: 0.001, + history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001) + }) + updateMeasurementStatistics( + measurementStatistics, + { aggregate: true, average: true, median: false }, + 0.003 + ) + expect(measurementStatistics).toStrictEqual({ + aggregate: 0.034, + maximum: 0.02, + minimum: 0.001, + average: 0.002, + history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001, 0.003) + }) + updateMeasurementStatistics( + measurementStatistics, + { aggregate: true, average: false, median: true }, + 0.006 + ) + expect(measurementStatistics).toStrictEqual({ + aggregate: 0.04, + maximum: 0.02, + minimum: 0.001, + median: 0.003, + history: new CircularArray( + DEFAULT_CIRCULAR_ARRAY_SIZE, + 0.001, + 0.003, + 0.006 + ) + }) + updateMeasurementStatistics( + measurementStatistics, + { aggregate: true, average: true, median: false }, + 0.01 + ) + expect(measurementStatistics).toStrictEqual({ + aggregate: 0.05, + maximum: 0.02, + minimum: 0.001, + average: 0.005, + history: new CircularArray( + DEFAULT_CIRCULAR_ARRAY_SIZE, + 0.001, + 0.003, + 0.006, + 0.01 + ) + }) + }) + + it('Verify secureRandom() behavior', () => { + const randomNumber = secureRandom() + expect(typeof randomNumber === 'number').toBe(true) + expect(randomNumber).toBeGreaterThanOrEqual(0) + expect(randomNumber).toBeLessThan(1) + }) })