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token-bucket-queue

v1.0.2

Published

A lightweight and configurable rate-limiting queue for handling asynchronous operations.

Downloads

128

Readme

token-bucket-queue

A lightweight and configurable rate-limiting queue for handling asynchronous operations.

Features

  • Token bucket algorithm implementation
  • Operation timeout management
  • Automatic retry mechanism
  • Event-driven architecture
  • Comprehensive error handling
  • Queue status monitoring
  • TypeScript support
  • Promise-based API
  • Pause/Resume capability

Token Bucket Algorithm

The queue uses the token bucket algorithm for rate limiting. Think of it like a bucket that:

  • Has a maximum capacity (bucketSize)
  • Receives new tokens at a fixed rate (tokensPerInterval tokens every interval milliseconds)
  • Each operation consumes one token
  • If the bucket is full, new tokens are discarded
  • If the bucket is empty, operations wait for new tokens

This algorithm allows for:

  • Burst capacity handling (up to bucketSize)
  • Smooth rate limiting over time (controlled by tokensPerInterval)
  • Efficient resource usage
  • Predictable operation scheduling

Installation

npm i ratelimit-queue

Quick Start

import { ThrottledQueue } from "ratelimit-queue";

// Create a queue with:
// - Maximum of 20 tokens (burst capacity)
// - Refills 10 tokens per second
// - Can handle temporary bursts of up to 20 operations
// - After burst, settles to 10 operations per second on average
const queue = new ThrottledQueue({
	bucketSize: 20, // Maximum tokens available at any time
	tokensPerInterval: 10, // Tokens added per interval
	interval: 1000, // Interval in milliseconds
	maxQueueSize: 100, // Optional: limit queue size
	operationTimeout: 5000, // Optional: operation timeout in ms
	maxExecutionTime: 10000, // Optional: max execution time per operation
	retryAttempts: 3, // Optional: number of retry attempts
	retryDelay: 1000, // Optional: delay between retries in ms
});

// Listen to queue events
queue.on("operation.success", ({ result }) => {
	console.log("Operation completed:", result);
});

queue.on("operation.error", ({ error }) => {
	console.error("Operation failed:", error);
});

// Enqueue operations
async function example() {
	try {
		const results = await queue.enqueue([
			() => fetch("https://api.example.com/1"),
			() => fetch("https://api.example.com/2"),
		]);
		console.log("Results:", results);
	} catch (error) {
		console.error("Queue error:", error);
	}
}

API Reference

ThrottledQueue

Constructor Options

interface QueueOptions {
	bucketSize: number; // Maximum number of tokens
	tokensPerInterval: number; // Tokens added per interval
	interval: number; // Interval in milliseconds
	maxQueueSize?: number; // Maximum queue size
	autoStart?: boolean; // Start processing immediately
	operationTimeout?: number; // Operation timeout in ms
	maxExecutionTime?: number; // Max execution time per operation
	retryAttempts?: number; // Number of retry attempts
	retryDelay?: number; // Delay between retries in ms
}

Methods

enqueue<T>(operations: QueueableOperation<T>[] | QueueableOperation<T>): Promise<T[]>

Adds operations to the queue. Returns a promise that resolves when all operations complete.

const results = await queue.enqueue([() => Promise.resolve(1), () => Promise.resolve(2)]);
start(): void

Starts the queue processing and token refill timer.

stop(): void

Stops the queue processing and token refill timer.

pause(): void

Temporarily pauses queue processing.

resume(): void

Resumes queue processing.

clear(): void

Clears all pending operations from the queue.

getStatus(): QueueStatus

Returns the current status of the queue.

interface QueueStatus {
	queueLength: number;
	availableTokens: number;
	isProcessing: boolean;
	isRunning: boolean;
	timestamp: number;
}

Events

The queue emits the following events:

  • tokens.refill: When tokens are refilled
  • processing.start: When queue processing starts
  • processing.end: When queue processing ends
  • operation.start: When an operation starts
  • operation.success: When an operation completes successfully
  • operation.error: When an operation fails
  • operation.retry: When an operation is retried
  • operation.timeout: When an operation times out
  • operation.queued: When an operation is added to the queue
  • queue.empty: When the queue becomes empty
  • queue.start: When the queue is started
  • queue.stop: When the queue is stopped
  • queue.pause: When the queue is paused
  • queue.resume: When the queue is resumed
  • queue.clear: When the queue is cleared

Error Handling

The queue handles various error scenarios:

  • Queue size limit exceeded
  • Operation timeout
  • Operation execution timeout
  • Operation failures with retry mechanism
  • Queue cleared while operation is pending
queue.on("operation.error", ({ error }) => {
	console.error("Operation failed:", error);
});

queue.on("operation.retry", ({ error, attempts, maxAttempts }) => {
	console.log(`Retrying operation: ${attempts}/${maxAttempts}`);
});

Example: Rate Limited API Calls

const apiQueue = new ThrottledQueue({
	bucketSize: 60,
	tokensPerInterval: 30,
	interval: 60000, // 30 requests per minute, burst of 60
	retryAttempts: 3,
});

async function fetchUsers() {
	const userIds = [1, 2, 3, 4, 5];
	const operations = userIds.map(id => () => fetch(`https://api.example.com/users/${id}`));

	try {
		const responses = await apiQueue.enqueue(operations);
		return Promise.all(responses.map(r => r.json()));
	} catch (error) {
		console.error("Failed to fetch users:", error);
		throw error;
	}
}

License

SIC

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.