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channel-ts

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Channels implemented in Typescript using async/await

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# channel-ts >Minimal Async/Await Channels in Typescript [![Node.js CI](https://img.shields.io/github/workflow/status/arjsin/channels/Node.js%20CI?style=flat-square)](https://github.com/arjsin/channels/actions?query=workflow%3A%22Node.js+CI%22) [![License](https://img.shields.io/:license-mit-blue.svg?style=flat-square)](/LICENSE) [![NPM](https://img.shields.io/npm/v/channel-ts?style=flat-square)](https://www.npmjs.com/package/channel-ts) ## Features - Simple API with JavaScript's async iterators for receivers - Broadcast on MultiReceiverChannel - Observe on object and notify manually - Mutex ## Examples ### Multi producer and single consumer This channel allows multiple sender to send data to a single receiver. The messages starts buffering as soon as the channel is created. No messages are lost. ```typescript import { SimpleChannel } from "channel-ts"; const delay = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); // printer waits for the messages on the channel until it closes async function printer(chan: SimpleChannel<string>) { for await(const data of chan) { // use async iterator to receive data console.log(`Received: ${data}`); } console.log("Closed"); } // sender sends some messages to the channel async function sender(id: number, chan: SimpleChannel<string>) { await delay(id*2000); chan.send(`hello from ${id}`); // sends data, boundless channels don't block await delay(2800); chan.send(`bye from ${id}`); // sends some data again } async function main() { const chan = new SimpleChannel<string>(); // creates a new simple channel const p1 = printer(chan); // uses the channel to print the received data const p2 = [0, 1, 2, 3, 4].map(async i => sender(i, chan)); // creates and spawns senders await Promise.all(p2); // waits for the sender chan.close(); // closes the channel on the server end await p1; // waits for the channel to close on the receiver end too } main(); ``` ### Output [![Simple Output](../assets/simple_output.svg?raw=true&sanitize=true)](#) ## Multi producer and multi consumer This channel allows multiple senders to send data to a multiple receivers. This channel needs explicit creation of receiver. All the messages are broadcast and buffered for receivers to receive. So messages are lost for the duration when the receiver was not created. Creation of receiver is similar to subscription in publisher-subscriber pattern. ```typescript import { MultiReceiverChannel, SimpleReceiver } from "channel-ts"; const delay = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); // printer waits for the messages on the channel until it closes async function printer(id: string, chan: SimpleReceiver<string>) { for await(const data of chan) { // use async iterator to receive data console.log(`Printer ${id} received: ${data}`); } console.log(`Printer ${id} closed`); } // sender sends some messages to the channel async function sender(id: number, chan: MultiReceiverChannel<string>) { await delay(id*2000); chan.send(`hello from ${id}`); // sends data, boundless channels don't block await delay(2800); chan.send(`bye from ${id}`); // sends some data again } async function main() { const chan = new MultiReceiverChannel<string>(); // creates a new simple channel const r1 = chan.receiver(); const p1 = printer("A", r1); // uses the channel to print the received data const r2 = chan.receiver(); const p2 = printer("B", r2); // uses the channel to print the received data const p3 = [0, 1, 2, 3, 4].map(async i => sender(i, chan)); // create and spawn senders await Promise.all(p3); // wait for sender chan.removeReceiver(r1); // close channel chan.removeReceiver(r2); // close channel chan.close(); await Promise.all([p1, p2]); // wait for channel to close on receiver end } main(); ``` ### Output [![Simple Output](../assets/multi_output.svg?raw=true&sanitize=true)](#) ## Observe Observe is a function which creates Observable type of JavaScript objects. The object is mutated and `notify()` is called to send data to receiver. This technique is similar to observer pattern. Please note that the object is shared between the sender and the receiver, so the receiver while reading the received message might run into a risk of observing further changes made by the sender. To guarantee that a received message is not modified, please make sure that each receiver is not pre-empted for the entire duration of reading the message and the message is not mutated by the receivers. ```typescript import { observe, SimpleReceiver, Observable } from "channel-ts"; const delay = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); // printer waits for the messages on the channel until it closes async function printer(id: string, chan: SimpleReceiver<number[]>) { for await(const data of chan) { // use async iterator to receive data console.log(`Printer ${id} received: ${JSON.stringify(data)}`); } console.log(`Printer ${id} closed`); } // sender sends some messages to the channel async function sender(id: number, array: Observable<number[]>) { await delay(id*1500); array.fill(1); // does some manipulation array.notify(); // notifies all the receivers with the value await delay(2200); array[0] = id * 111; // does some manipulation array[1] = 0; array[2] = (9-id) * 111; array.notify(); // notifies all the receivers with the value } async function main() { const chan = observe([0, 0, 0]); // creates a new observable, works with objects const r1 = chan.receiver(); const p1 = printer("A", r1); // uses the channel to print received data const r2 = chan.receiver(); const p2 = printer("B", r2); // uses the channel to print received data const p3 = [0, 1, 2, 3, 4].map(async i => sender(i, chan)); // create and spawn senders await Promise.all(p3); // wait for sender chan.removeReceiver(r1); // close channel chan.removeReceiver(r2); // close channel await Promise.all([p1, p2]); // wait for channel to close on receiver end } main(); ``` ### Output [![Simple Output](../assets/observe_output.svg?raw=true&sanitize=true)](#) ## Mutex Mutex allows asynchronous program to have synchronization by the application of locking. This is useful when a shared resource is accessed concurrently. ```typescript import { Mutex } from "channel-ts"; const delay = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); const main = async () => { const task1 = async (): Promise<void> => { console.log("task 1: going to start"); const guard = await mutex.acquire(); console.log("task 1: mutex acquired"); await delay(2000); // assume shared access done by task 1 console.log("task 1: finished"); guard.release(); console.log("task 1: mutex released"); }; const task2 = async (): Promise<void> => { await delay(200); console.log("task 2: going to start"); const guard = await mutex.acquire(); console.log("task 2: mutex acquired"); await delay(1500); // assume shared access done by task 2 console.log("task 2: finished"); guard.release(); console.log("task 2: mutex released"); }; const task3 = async (): Promise<void> => { await delay(400); console.log("task 3: going to start"); const guard = await mutex.acquire(); console.log("task 3: mutex acquired"); await delay(1800); // assume shared access done by task 3 console.log("task 3: finished"); guard.release(); console.log("task 3: mutex released"); }; // wait for all our tasks await Promise.all([task1(), task2(), task3()]); }; main(); ``` ### Output [![Simple Output](../assets/mutex_output.svg?raw=true&sanitize=true)](#) ## License **[MIT license](/LICENSE)**