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streamly

v1.1.1

Published

Imagine a world where:

Readme

Streamly

Imagine a world where:

  • Functions through streams
  • Generators are source streams

Streamly is that world.

Method

Streamly doesn't touch native global prototypes, it's safe. It extends an individual function or generator instance with a stream instance, leaving native stuff intact and untouched.

Compatibility

Streamly detects generator support, if the environment doesn't support generators, then you still get function-stream support.

Example

var streamly = require('streamly');
streamly(upper, asyncLower, src);

function * src(s) {
  yield s;
  yield 'SHOULD BE LOWER'
  yield s;
  yield '\n';
}

function upper(s) { return (s+'').toUpperCase(); }

function asyncLower(s, cb) {
  setTimeout(function () {
    s += '';
    cb(null, s === 'SHOULD BE UPPER' ? s : s.toLowerCase())  
  }, 500);
}

src('should be upper')
  .pipe(upper)
  .pipe(asyncLower)
  .pipe(process.stdout)

API

streamly(...) => Array

streamly(myFunc, myGen, myGen2(), myAsyncFunc)

Pass in both Generators and Functions as arguments, the streamly function will delegate to src or thru accordingly.

Returns an array of the now-decorated inputs.

streamly.src(Generator) => Generator

streamly
  .src(function * () { yield 'inline is fine'; })()
  .pipe(process.stdout)

Decorates a GeneratorFunction, or the iterable object which a generator returns, with Readable stream capabilities.

Returns the input, after decoration has occurred.

The result of streamly.src must be called before a stream is instantiated, unless the argument is an iterable object.

streamly.thru(Function) => Function

streamly.src(count)
function * count() { yield '1'; yield '2'; yield '3'; }

streamly.thru(wait)
function wait(n, cb) { 
  setTimeout(function () { 
    cb(null, 'waited ' + n + '\n')
  }, n)
}

count()
  .pipe(streamly.thru(function (n) { return n*100+''; }))
  .pipe(wait)
  .pipe(process.stdout) 

Decorates a Function with Transform stream capabilities.

If the function accepts a single parameter, then the through stream is considered synchronous. Which means, the return value of the function is piped into the next stream.

If the function accepts two parameters, the through stream is considered to be asynchonous. That is, the values are passed onto the next stream via the second parameter of the function, by calling it with the signature cb(err, value).

Returns the input, after decoration has occurred.

Sponsorship

  • Sponsored by nearForm