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/* * Copyright (C) 2018 - present Instructure, Inc. * * This file is part of Canvas. * * Canvas is free software: you can redistribute it and/or modify it under * the terms of the GNU Affero General Public License as published by the Free * Software Foundation, version 3 of the License. * * Canvas is distributed in the hope that it will be useful, but WITHOUT ANY * WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR * A PARTICULAR PURPOSE. See the GNU Affero General Public License for more * details. * * You should have received a copy of the GNU Affero General Public License along * with this program. If not, see <http://www.gnu.org/licenses/>. */ /** * Create a pool that executes a promise-returning function for each item in an array, limiting the * number of concurrent promises to the pool size. Essentially combines a bunch of promise operations * into a single promise and limits the number of concurrent promises. * * Useful for when you need to execute a large number of promises in a single operation, but you want * to limit the number of promises running at the same time. * * For example, if you need to make 100 API calls to update 100 different items, but don't want to * overload the application by doing them all at once, you can use a promise pool of size 5 to only * run a maximum of 5 API calls at the same time. * * @param {array} dataList list of items for which we need to run a promise task for * @param {function} makePromise function that takes in an item from dataList and returns a promise * @param {poolSize, intervalTime} opts optional options for the promise pool * poolSize: maximum number of promises to run at the same time * intervalTime: how often to check on the progress of the promises * * @returns Promise that resolves when all tasks are done. Promise result contains successes and * failures properties representing which tasks succeeded and failed * * @example * const dataList = ['1', '2', '3', '4', '5'] * * function deleteItem (id) { * return axios.delete('/api/v1/items/' + id) * } * * const opts = { poolSize: 2 } * * // in this example we have to delete a bunch of items, but we don't wanna overload the backend * // with a bunch of simultaneous requests so we use makePromisePool to execute a max of 2 at a time * makePromisePool(dataList, deleteItem, opts) * .then(results => { * console.log(results.successes.length, 'items successfully deleted') * console.log(results.failures.length, 'failed to delete') * }) */ export default function makePromisePool(dataList, makePromise, opts = {}) { const poolSize = opts.poolSize || 5 const intervalTime = opts.intervalTime || 300 return new Promise(resolve => { const successes = [] const failures = [] let activeWorkers = 0 let dataIndex = 0 function queueNextPromise() { const data = dataList[dataIndex++] activeWorkers++ makePromise(data) .then(res => { successes.push({data, res}) activeWorkers-- }) .catch(err => { failures.push({data, err}) activeWorkers-- }) } function evaluateProgress() { // if there are still items to process if (dataIndex < dataList.length) { // while there are items to process and we have room in our pool.. while (dataIndex < dataList.length && activeWorkers < poolSize) { queueNextPromise() } // check on the progress again after an interval timeout setTimeout(evaluateProgress, intervalTime) // check that all workers are actually done } else if (activeWorkers === 0) { // looks like all our promises finished executing, so lets return results resolve({successes, failures}) } else { // check on the progress again after an interval timeout setTimeout(evaluateProgress, intervalTime) } } // startup the promise pool evaluateProgress() }) }