This is a small serie about using CSP concepts in Javascript
An interesting usage of CSP
concepts and libraries that I saw multiple times missing is about using it as a building block for more complex control flow mechanisms.
Even if I will definitely give some examples about dropping CSP directly into my code I do still still that it’s useful to see some internal usage which might be missing at first glance.
The fist and most basic thing that I can show you is to replicate the async.parallel
I am quite sure you’re already familiar with this function, as it literally saved our asses for years in javascript. Anyway, for those who’re not familiar with (???), here is the signature and the documentation
function parallel(tasks, callback) {
/* code */
}
Run the tasks collection of functions in parallel, without waiting until the previous function has completed. If any of the functions pass an error to its callback, the main callback is immediately called with the value of the error. Once the tasks have completed, the results are passed to the final callback as an array.
Given that, let’s try to reimplement the same thing using CSP concepts and js-csp library
const csp = require('js-csp');
const parallel = (functions = [], cb) => {
const ch = csp.chan();
functions.forEach((fun) => {
fun((err, data) => {
if (err) {
csp.putAsync(err);
ch.close();
}
csp.putAsync(ch, data);
})
});
csp.go(function*() {
const data = [];
for (let i = 0; i < functions.length; i++) {
const val = yield csp.take(ch);
if (val === csp.CLOSED) {
return cb('Something went wrong.')
}
data.push(val);
}
ch.close();
cb(null, data);
})
}
module.exports = parallel;
This code is just a simple implementation and it’s probably missing a lot of edge cases as well some facilities the original library is offering you. The interesting thing, anyway, is how this code is actually not that terrible compared to the original one in the async library and it’s definitely more easy to reason about.