State management through Functional Reactive Programming

Many believe that FRP involves managing event streams without the need to explicitly handle state. An example of this can be found here:

Others argue in favor of FRP by highlighting the challenges associated with programming solely through side-effects, as is often required with asynchronous callbacks.

Despite experimenting with FRP (specifically flapjax), a recurring issue arises: difficulty in managing state except through explicit side-effects.

For instance, consider an animation queue where changes are received on an event stream. Upon receiving the first change, there is a need to schedule a draw operation for future execution (e.g., using window.requestAnimationFrame) and accumulate changes until the scheduled draw occurs. When the draw event takes place, the accumulated changes must then be rendered.

In an imperative style using the observer pattern, this task can be achieved in about six lines of code. However, translating this into FRP proves challenging. The closest solution often involves encapsulating related event streams around a shared state, ultimately necessitating explicit state management and rendering events through side-effects. This approach doesn't seem like a significant improvement over traditional imperative callbacks.

The question remains: how should such scenarios be addressed within the realm of FRP?

Here's a utility function from flapjax that showcases closure over state:

function worldE(init, handlers) {
    var r = fj.receiverE();
    fj.forEach(function(h) {
        h[0].mapE(function (ev) {
            r.sendEvent(init = h[1](init, ev));
        });
    }, handlers);
    return r;
}

Now, let's see how it can be utilized within an animation loop:

function initialize(opts) {
    var blitE = fj.receiverE();

    function accumulate(state, data) {
        if (!state.queued) {
            window.requestAnimationFrame(blitE.sendEvent);
        }
        return {queued: true, changes: _.extend({}, state.changes, data)};
    }

    function dodraw(state, _) {
        draw(state.changes);
        return {queued: false, changes: {}};
    }

    worldE({queued: false, changes: {}},
            [[opts.data_source, accumulate], [blitE, dodraw]]);
}

It's evident that this implementation is bulkier, less readable, and harder to maintain compared to equivalent callback-based code. It still heavily relies on explicit state management and operates through side effects.

This begs the question: is there a more efficient way to tackle such scenarios in FRP? Perhaps utilizing a different pattern or exploring alternative libraries could offer a better solution.

Answer №1

Although I haven't had much experience with Flapjax, after reviewing the documentation, it appears that you can utilize the collectE function to generate a stream that accumulates state information. Next, establish a separate stream for animationFrame events by employing both receiverE and sendEvent.

To complete the process, you can mimic bacon.js's sampledBy method (https://github.com/baconjs/bacon.js/wiki/Diagrams#sampledby) in order to produce a third stream containing [animationFrame, state] pairs.

Answer №2

How about a sprinkling of flapjax sugar? Try swapping out sampledBy for snapshotE, which captures the changes array at each frame event. For more details, take a look at the discussion on Google Groups where I've shared some example code.

Answer №3

FRP revolves around state management, but it does so without involving time. The key is to contain the state within the tree or graph structure, preventing unexpected mutations by old code at arbitrary moments.

In FRP, state updates only occur when a parent node triggers an update. Upon this trigger, the new value of the node is calculated using the values of the event that caused the update as well as any other parent values.

blandw's response above is accurate, as collectE function is the preferred method for this purpose.

Within collectE, the previous value of the node is passed on when its parent node triggers an event. This feature allows for the storage of desired states, such as a collection of changes, ensuring that updates happen only in response to parent events.

By confining state mutations to instances where parents trigger updates, significant complications can be avoided. While less evident in simple scenarios, this approach becomes invaluable in larger projects.

It is worth noting, however, that receiverE should ideally be used solely for extracting events from non-FRP systems and not within the core FRP graph structure. Any other use would undermine the fundamental principles of FRP.

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