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async-task-queue-runner

v1.3.3

Published

This module allows you to run the queue of the asymynchronous tasks in the form of a queue (so far parallel).

Downloads

50

Readme

task-queue

This module allows you to run the queue of the asynchronous tasks in the form of a queue (so far parallel).

Install

npm i async-task-queue-runner

Usage

Queue constructor


function runTasks() {
	return new Promise((resolve, reject) => {
		let queue = new TaskQueue();
		let tasks = [ taskFactory(500), taskFactory(300), taskFactory(100) ];

		let completeTask = 0;

		tasks.forEach((task, index) => {
			let runTask = () => {
				return task.then(result => {
					console.log("task result", result);

					++completeTask;

					if (completeTask == tasks.length) {
						console.log("all tasks complete");

						resolve();
					};
				}).catch(err => {
					console.log("task end with error");

					reject(err);
				})
			};

			queue.addTask(runTask);
		});
	};
};

function taskFactory(duration=1000, isSuccess=true) {
	return new Promise((resolve, reject) => {
		setTimeout(() => {
			if (isSuccess) resolve("success");
			else reject("error");
		}, duration);
	});
};

Task runner


function runTasks() {
	let tasks = [ taskFactory.bind(null, 500), taskFactory.bind(null, 300), taskFactory.bind(null, 100) ];

	let success = (result, inx) => {
		console.log("task index - ", inx, ".Task result - ", result);
	};

	return runner(tasks)(success);
};

function taskFactory(duration=1000, isSuccess=true) {
	return new Promise((resolve, reject) => {
		setTimeout(() => {
			if (isSuccess) resolve("success");
			else reject("error");
		}, duration);
	});
};

API

parallel

The module allows you to run asynchronous tasks in parallel

parallel.Queue(limit)

it's a task queue class.

limit - number of tasks that run simultaneously in parallel. Default 0 (running all tasks in parallel).

Instance methods

queue.addTask(task)

It's method push task into queue.

queue.next()

Call the next task. In the existing queue, it is called automatically.

parallel.runner(tasks, limit, retryCount)(success, error, context)

The function that creates the queue and allows you to add the necessary handlers to each task in a given context.

tasks - array of asynchronous tasks.

limit - number of tasks that run simultaneously in parallel. Default 0 (running all tasks in parallel). Optional.

retryCount - number of attempts to complete the task, if it was completed with an error. Default 0 (without attempting to perform task again). Optional.

success - success function like a promise success function. Optional.

error - error function like a promise success function. Optional.

context - context for success and error function. Optional.

License

MIT © nlapshin