@rxtk/streams
v0.0.0
Published
🐠 RxJS operators and utilities for worth with streams (node.js ReadableStream, pipes, etc.)
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@rxtk/streams
🐠 RxJS operators and utilities for worth with streams (node.js ReadableStream, pipes, etc.)
Installation
This is a private package. It requires setting up access in your npm config.
yarn add @rxtk/streams
API
fromReadableStream
Creates an RxJS observable from a node.js ReadableStream.
import {createReadStream} from 'fs';
import {fromReadableStream} from '@rxtk/streams';
const readStream = createReadStream('/path/to/my/file.json');
const buffer$ = fromReadableStream(readStream);
buffer$.subscribe(console.log);
// First Buffer content...
// Second Buffer content...
// etc.
streamFromObservable
Creates a node.js ReadableStream from an RxJS observable:
import {streamFromObservable} from '@rxtk/streams';
const string$ = from(["hello", "wo", "rld", "!"]);
const readStream = streamFromObservable(string$)
.on('data', console.log)
.on('error', console.error)
.on('end', () => console.log('DONE'));
// hello
// wo
// rld
// !
// DONE
toNodePipes
This RxJS operator allows you to use node.js pipes within an RxJS observable.
import {from} from 'rxjs';
import csvParser from 'csv-parse';
import {toNodePipes} from '@rxtk/streams';
const csvString$ = from([
'"name","systolicBp","dialostilicBp","message"\n',
'"Blackbeard",140,91,"Yarr"\n"Crunch",120,',
',180,"Arr"\n"Sparrow",110,70,"Savvy"\n',
]);
const row$ = from(rows);
const pipes = [csvParser()];
const csvStr$ = string$.pipe(
toNodePipes(...pipes)
);
csvStr$.subscribe(console.log);
// "message"\n
// "Hello"\n
// "My dear sir\n"
// "Arrr"\n
Under the hood, this operator does three things:
- Transform the input observable into a ReadableStream
- Pipe that ReadableStream into the provided pipe(s) (in the same order in which they were passed in)
- Pass the stream's output back to an RxJS output Observable
⭐️ This operator is meant to be used as syntactic sugar for simple cases. In some cases, you may need to fine-tune things to your own liking, in which case it might be better to compose your own pipelines from the other helper functions in this module.