stream in to and out form crowdprocess
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Getting it

Install it

npm install --save crp-stream-client

Require and Instantiate

var Client = require('crp-stream-client');

var client = Client({
  token: 'e1ffe165-10ad-beef-b00b-115B0Ab0053d'

You can also instantiate it with an email and password. You can generate a token like the one above with crp-account-client.

Use it

This module exposes:

  • a writable Tasks stream;
  • a readable Results stream;
  • a readable Errors stream;
  • a duplex stream with all of the above.

And they work like you would expect: you write tasks to the Task stream, read results from the Result stream and errors from the Error stream.

The duplex stream is a convenience stream that you can write tasks to it, it emits data events when results arrive, and error events when errors arrive.

They are all Object streams, meaning you should write objects and expect objects as well.

Tasks Stream

Tasks stream accepts any javascript object that is JSON stringifyable. You write it to tasksStream parsed, and it will arrive also parsed at the Run function, just like you would expect.

Suppose the jobId value used in the examples corresponds to a valid job (created with crp-job-client) that returns whatever it gets (an echo job really, like function Run (d) { return d; }).

var tasks = client(jobId).Tasks();

var n = 1000;
while (n--) {
    name: 'something',
    n: n

Results Stream

The Results stream takes an options object, which can have a timeout and a stream.

timeout must be a string that has a number and a time unit, such as 100ms or 1s or 1m. The timeout means the result stream will end after timeout time has passed since the last result was received.

stream is a boolean that indicates whether you'd like to receive results as soon as they arrive from the browsers, or you want to fetch them from the database when it's done.

If the job above is an echo job, we'll get 1000 results:

var results = client(jobId).Results({
  timeout: '5s',
  stream: true
results.on('data', onData);
function onData (data) {
  console.log('result:', data);

Errors Stream

Sometimes, there are errors in running your tasks, and you can get them like this:

var errors = client(jobId).Errors({
  timeout: '5s',
  stream: true
errors.on('data', onError);
function onError (data) {

The Errors stream takes the same options object as described in the Results stream.