Suppose you need to do some operations that depend on some temp file. Since we\'re talking about Node here, those operations are obviously asynchronous. What is the idiomati
I'd like to offer another solution that utilizes the speed and efficiency of the programming paradigm at the very core of Node: events.
Everything you can do with Promises or modules designed to manage flow-control, like async, can be accomplished using events and a simple state-machine, which I believe offers a methodology that is, perhaps, easier to understand than other options.
For example assume you wish to sum the length of multiple files in parallel:
const EventEmitter = require('events').EventEmitter;
// simple event-driven state machine
const sm = new EventEmitter();
// running state
let context={
tasks: 0, // number of total tasks
active: 0, // number of active tasks
results: [] // task results
};
const next = (result) => { // must be called when each task chain completes
if(result) { // preserve result of task chain
context.results.push(result);
}
// decrement the number of running tasks
context.active -= 1;
// when all tasks complete, trigger done state
if(!context.active) {
sm.emit('done');
}
};
// operational states
// start state - initializes context
sm.on('start', (paths) => {
const len=paths.length;
console.log(`start: beginning processing of ${len} paths`);
context.tasks = len; // total number of tasks
context.active = len; // number of active tasks
sm.emit('forEachPath', paths); // go to next state
});
// start processing of each path
sm.on('forEachPath', (paths)=>{
console.log(`forEachPath: starting ${paths.length} process chains`);
paths.forEach((path) => sm.emit('readPath', path));
});
// read contents from path
sm.on('readPath', (path) => {
console.log(` readPath: ${path}`);
fs.readFile(path,(err,buf) => {
if(err) {
sm.emit('error',err);
return;
}
sm.emit('processContent', buf.toString(), path);
});
});
// compute length of path contents
sm.on('processContent', (str, path) => {
console.log(` processContent: ${path}`);
next(str.length);
});
// when processing is complete
sm.on('done', () => {
const total = context.results.reduce((sum,n) => sum + n);
console.log(`The total of ${context.tasks} files is ${total}`);
});
// error state
sm.on('error', (err) => { throw err; });
// ======================================================
// start processing - ok, let's go
// ======================================================
sm.emit('start', ['file1','file2','file3','file4']);
Which will output:
start: beginning processing of 4 paths forEachPath: starting 4 process chains readPath: file1 readPath: file2 processContent: file1 readPath: file3 processContent: file2 processContent: file3 readPath: file4 processContent: file4 The total of 4 files is 4021
Note that the ordering of the process chain tasks is dependent upon system load.
You can envision the program flow as:
start -> forEachPath -+-> readPath1 -> processContent1 -+-> done
+-> readFile2 -> processContent2 -+
+-> readFile3 -> processContent3 -+
+-> readFile4 -> processContent4 -+
For reuse, it would be trivial to create a module to support the various flow-control patterns, i.e. series, parallel, batch, while, until, etc.