X-Git-Url: https://git.piment-noir.org/?a=blobdiff_plain;f=src%2Futils.ts;h=d7ce5a210f2dea09290fd90a5f4eb64fcb2162d5;hb=9d96ba4ea0e2e4b06216657cb1641551b59f58ee;hp=c92edc91de4f68100baefe6c5fd14ded17492363;hpb=8990357d855c45cd0063f24092bb58b4163ddb0a;p=poolifier.git diff --git a/src/utils.ts b/src/utils.ts index c92edc91..d7ce5a21 100644 --- a/src/utils.ts +++ b/src/utils.ts @@ -1,10 +1,13 @@ import * as os from 'node:os' +import { webcrypto } from 'node:crypto' +import { Worker as ClusterWorker } from 'node:cluster' +import { Worker as ThreadWorker } from 'node:worker_threads' import type { MeasurementStatisticsRequirements, WorkerChoiceStrategyOptions } from './pools/selection-strategies/selection-strategies-types' import type { KillBehavior } from './worker/worker-options' -import type { MeasurementStatistics } from './pools/worker' +import { type IWorker, type WorkerType, WorkerTypes } from './pools/worker' /** * Default task name. @@ -23,7 +26,7 @@ export const EMPTY_FUNCTION: () => void = Object.freeze(() => { */ export const DEFAULT_WORKER_CHOICE_STRATEGY_OPTIONS: WorkerChoiceStrategyOptions = { - choiceRetries: 6, + retries: 6, runTime: { median: false }, waitTime: { median: false }, elu: { median: false } @@ -50,35 +53,100 @@ export const availableParallelism = (): number => { try { availableParallelism = os.availableParallelism() } catch { - const numberOfCpus = os.cpus() - if (Array.isArray(numberOfCpus) && numberOfCpus.length > 0) { - availableParallelism = numberOfCpus.length + const cpus = os.cpus() + if (Array.isArray(cpus) && cpus.length > 0) { + availableParallelism = cpus.length } } return availableParallelism } +/** + * Returns the worker type of the given worker. + * + * @param worker - The worker to get the type of. + * @returns The worker type of the given worker. + * @internal + */ +export const getWorkerType = (worker: IWorker): WorkerType | undefined => { + if (worker instanceof ThreadWorker) { + return WorkerTypes.thread + } else if (worker instanceof ClusterWorker) { + return WorkerTypes.cluster + } +} + +/** + * Returns the worker id of the given worker. + * + * @param worker - The worker to get the id of. + * @returns The worker id of the given worker. + * @internal + */ +export const getWorkerId = (worker: IWorker): number | undefined => { + if (worker instanceof ThreadWorker) { + return worker.threadId + } else if (worker instanceof ClusterWorker) { + return worker.id + } +} + +/** + * Sleeps for the given amount of milliseconds. + * + * @param ms - The amount of milliseconds to sleep. + * @returns A promise that resolves after the given amount of milliseconds. + * @internal + */ +export const sleep = async (ms: number): Promise => { + await new Promise(resolve => { + setTimeout(resolve, ms) + }) +} + /** * Computes the retry delay in milliseconds using an exponential back off algorithm. * * @param retryNumber - The number of retries that have already been attempted - * @param maxDelayRatio - The maximum ratio of the delay that can be randomized + * @param delayFactor - The base delay factor in milliseconds * @returns Delay in milliseconds + * @internal */ export const exponentialDelay = ( retryNumber = 0, - maxDelayRatio = 0.2 + delayFactor = 100 ): number => { - const delay = Math.pow(2, retryNumber) * 100 - const randomSum = delay * maxDelayRatio * Math.random() // 0-(maxDelayRatio*100)% of the delay + const delay = Math.pow(2, retryNumber) * delayFactor + const randomSum = delay * 0.2 * secureRandom() // 0-20% of the delay return delay + randomSum } +/** + * Computes the average of the given data set. + * + * @param dataSet - Data set. + * @returns The average of the given data set. + * @internal + */ +export const average = (dataSet: number[]): number => { + if (Array.isArray(dataSet) && dataSet.length === 0) { + return 0 + } + if (Array.isArray(dataSet) && dataSet.length === 1) { + return dataSet[0] + } + return ( + dataSet.reduce((accumulator, number) => accumulator + number, 0) / + dataSet.length + ) +} + /** * Computes the median of the given data set. * * @param dataSet - Data set. * @returns The median of the given data set. + * @internal */ export const median = (dataSet: number[]): number => { if (Array.isArray(dataSet) && dataSet.length === 0) { @@ -102,6 +170,7 @@ export const median = (dataSet: number[]): number => { * @param num - The number to round. * @param scale - The scale to round to. * @returns The rounded number. + * @internal */ export const round = (num: number, scale = 2): number => { const rounder = Math.pow(10, scale) @@ -113,6 +182,7 @@ export const round = (num: number, scale = 2): number => { * * @param obj - The object to check. * @returns `true` if the given object is a plain object, `false` otherwise. + * @internal */ export const isPlainObject = (obj: unknown): boolean => typeof obj === 'object' && @@ -127,6 +197,7 @@ export const isPlainObject = (obj: unknown): boolean => * @param killBehavior - Which kind of kill behavior to detect. * @param value - Any value. * @returns `true` if `value` was strictly equals to `killBehavior`, otherwise `false`. + * @internal */ export const isKillBehavior = ( killBehavior: KB, @@ -140,6 +211,7 @@ export const isKillBehavior = ( * * @param fn - Any value. * @returns `true` if `fn` was an asynchronous function, otherwise `false`. + * @internal */ export const isAsyncFunction = ( fn: unknown @@ -148,37 +220,33 @@ export const isAsyncFunction = ( } /** - * Updates the given measurement statistics. + * Generates a cryptographically secure random number in the [0,1[ range * - * @param measurementStatistics - The measurement statistics to update. - * @param measurementRequirements - The measurement statistics requirements. - * @param measurementValue - The measurement value. - * @param numberOfMeasurements - The number of measurements. - */ -export const updateMeasurementStatistics = ( - measurementStatistics: MeasurementStatistics, - measurementRequirements: MeasurementStatisticsRequirements, - measurementValue: number, - numberOfMeasurements: number -): void => { - if (measurementRequirements.aggregate) { - measurementStatistics.aggregate = - (measurementStatistics.aggregate ?? 0) + measurementValue - measurementStatistics.minimum = Math.min( - measurementValue, - measurementStatistics.minimum ?? Infinity - ) - measurementStatistics.maximum = Math.max( - measurementValue, - measurementStatistics.maximum ?? -Infinity - ) - if (measurementRequirements.average && numberOfMeasurements !== 0) { - measurementStatistics.average = - measurementStatistics.aggregate / numberOfMeasurements - } - if (measurementRequirements.median && measurementValue != null) { - measurementStatistics.history.push(measurementValue) - measurementStatistics.median = median(measurementStatistics.history) - } - } + * @returns A number in the [0,1[ range + * @internal + */ +export const secureRandom = (): number => { + return webcrypto.getRandomValues(new Uint32Array(1))[0] / 0x100000000 } + +/** + * Returns the minimum of the given numbers. + * If no numbers are given, `Infinity` is returned. + * + * @param args - The numbers to get the minimum of. + * @returns The minimum of the given numbers. + * @internal + */ +export const min = (...args: number[]): number => + args.reduce((minimum, num) => (minimum < num ? minimum : num), Infinity) + +/** + * Returns the maximum of the given numbers. + * If no numbers are given, `-Infinity` is returned. + * + * @param args - The numbers to get the maximum of. + * @returns The maximum of the given numbers. + * @internal + */ +export const max = (...args: number[]): number => + args.reduce((maximum, num) => (maximum > num ? maximum : num), -Infinity)