Incorporating D3's library functions into Rxjs for seamless integration with Observables

I'm really struggling with this concept and could use some guidance. My goal is to monitor when data is fetched, but I seem to have confused the process. Here's what I've tried so far: Using d3.tsv for an ajax request.

var test = Rx.Observable.just(
    d3.tsv("https://gist.githubusercontent.com/mbostock/3885304/raw/37bd91278846c053188a130a01770cddff023590/data.tsv", 
        function(d) {
          return {
            letter: d.letter,
            frequency: +d.frequency
          };
        }, 
        function(error, rows) {
          console.log('mytest2',rows);
        }
    )
);

var observer = Rx.Observer.create(
  function (x) { console.log('onNext: %s', x); },
  function (e) { console.log('onError: %s', e); },
  function () { console.log('onCompleted'); });

var subscription = test.subscribe(observer);

Although the ajax request technically works, all of the Observable functions occur before the data actually arrives. How can I set it up so that my 'onNext' log displays the data, rather than only receiving it inside the d3.tsv function?

Answer №1

When dealing with two callbacks for success and result, the standard RxJS operators like .fromCallback and .fromNodeCallback may not be suitable. In such cases, a custom helper function can be used instead. Here's an example:

function d3fn (url, success_handler, error_handler) {
  success_handler ({
    letter : 'letter',
    frequency : 9
  });
}

var d3 = {tsv : d3fn};

function fromD3Callback (d3fn, ctx) {
return function () {
  var args = Array.prototype.slice.call(arguments);
  var subject = new Rx.AsyncSubject();

  function success_handler () {
    subject.onNext.apply(subject, Array.prototype.slice.call(arguments));
    subject.onCompleted();
  }

  function error_handler () {
    subject.onError(Array.prototype.slice.call(arguments));
  }

  args.push(success_handler);
  args.push(error_handler);

  d3fn.apply(ctx, args);
  return subject.asObservable();
}
}

var test = fromD3Callback(d3.tsv)("https://gist.githubusercontent.com/mbostock/3885304/raw/37bd91278846c053188a130a01770cddff023590/data.tsv")
  .map(function(d) {
          return {
            letter: d.letter,
            frequency: +d.frequency
          };
        })
  .catch(function(error, rows) {
          console.log('mytest2',rows);
          return Rx.Observable.throw({error: error, rows: rows});
        });

var observer = Rx.Observer.create(
  function (x) { console.log('onNext: %o', x); },
  function (e) { console.log('onError: %s', e); },
  function () { console.log('onCompleted'); });

var subscription = test.subscribe(observer);

Answer №2

After some research, I managed to find a solution to my issue. However, I believe there might be a more efficient way to approach it. Here's what I've come up with so far:

var url = "https://gist.githubusercontent.com/mbostock/3885304/raw/37bd91278846c053188a130a01770cddff023590/data.tsv"

var fetch = Rx.Observable.fromNodeCallback(d3.tsv);

var source = fetch(url, function(d) {
  return {
    letter: d.letter,
    frequency: +d.frequency
  };
})

var observer = Rx.Observer.create(
  function (o) {
        console.log('Next: success!', o);
    },
    function (err) {
        console.log('Error: ' + err);
    },
    function () {
        console.log('Completed');
    });

var subscription = source.subscribe(observer);

One challenge I'm facing is implementing filtering based on this code snippet. Any suggestions for an improved approach would be greatly appreciated.

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