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                        Composable unidirectional data flow with ReactiveSwift.

Unidirectional Reactive Architecture. This is a ReactiveSwift counterpart of RxFeedback.
Documentation

Motivation
Requirements for iOS apps have become huge. Our code has to manage a lot of state e.g. server responses, cached data, UI state, routing etc. Some may say that Reactive Programming can help us a lot but, in the wrong hands, it can do even more harm to your code base.
The goal of this library is to provide a simple and intuitive approach to designing reactive state machines.
Core Concepts
State
State is the single source of truth. It represents a state of your system and is usually a plain Swift type (which doesn't contain any ReactiveSwift primitives). Your state is immutable. The only way to transition from one State to another is to emit an Event.
struct Results<T: JSONSerializable> {
    let page: Int
    let totalResults: Int
    let totalPages: Int
    let results: [T]
    static func empty() -> Results<T> {
        return Results<T>(page: 0, totalResults: 0, totalPages: 0, results: [])
    }
}
struct Context {
    var batch: Results<Movie>
    var movies: [Movie]
    static var empty: Context {
        return Context(batch: Results.empty(), movies: [])
    }
}
enum State {
    case initial
    case paging(context: Context)
    case loadedPage(context: Context)
    case refreshing(context: Context)
    case refreshed(context: Context)
    case error(error: NSError, context: Context)
    case retry(context: Context)
}
Event
Represents all possible events that can happen in your system which can cause a transition to a new State.
enum Event {
    case startLoadingNextPage
    case response(Results<Movie>)
    case failed(NSError)
    case retry
}
Reducer
A Reducer is a pure function with a signature of (State, Event) -> State. While Event represents an action that results in a State change, it's actually not what causes the change. An Event is just that, a representation of the intention to transition from one state to another. What actually causes the State to change, the embodiment of the corresponding Event, is a Reducer. A Reducer is the only place where a State can be changed.
static func reduce(state: State, event: Event) -> State {
    switch event {
    case .startLoadingNextPage:
        return .paging(context: state.context)
    case .response(let batch):
        var copy = state.context
        copy.batch = batch
        copy.movies += batch.results
        return .loadedPage(context: copy)
    case .failed(let error):
        return .error(error: error, context: state.context)
    case .retry:
        return .retry(context: state.context)
    }
}
Feedback
While State represents where the system is at a given time, Event represents a trigger for state change, and a Reducer is the pure function that changes the state depending on current state and type of event received, there is not as of yet any type to emit events given a particular current state. That's the job of the Feedback. It's essentially a "processing engine", listening to changes in the current State and emitting the corresponding next events to take place. It's represented by a pure function with a signature of Signal<State, NoError> -> Signal<Event, NoError>. Feedbacks don't directly mutate states. Instead, they only emit events which then cause states to change in reducers.
public struct Feedback<State, Event> {
    public let events: (Scheduler, Signal<State, NoError>) -> Signal<Event, NoError>
}
func loadNextFeedback(for nearBottomSignal: Signal<Void, NoError>) -> Feedback<State, Event> {
    return Feedback(predicate: { !$0.paging }) { _ in
        return nearBottomSignal
            .map { Event.startLoadingNextPage }
        }
}
func pagingFeedback() -> Feedback<State, Event> {
    return Feedback<State, Event>(skippingRepeated: { $0.nextPage }) { (nextPage) -> SignalProducer<Event, NoError> in
        return URLSession.shared.fetchMovies(page: nextPage)
            .map(Event.response)
            .flatMapError { (error) -> SignalProducer<Event, NoError> in
                return SignalProducer(value: Event.failed(error))
            }
        }
}
func retryFeedback(for retrySignal: Signal<Void, NoError>) -> Feedback<State, Event> {
    return Feedback<State, Event>(skippingRepeated: { $0.lastError }) { _ -> Signal<Event, NoError> in
        return retrySignal.map { Event.retry }
    }
}
func retryPagingFeedback() -> Feedback<State, Event> {
    return Feedback<State, Event>(skippingRepeated: { $0.retryPage }) { (nextPage) -> SignalProducer<Event, NoError> in
        return URLSession.shared.fetchMovies(page: nextPage)
            .map(Event.response)
            .flatMapError { (error) -> SignalProducer<Event, NoError> in
                return SignalProducer(value: Event.failed(error))
            }
        }
}
The Flow
- As you can see from the diagram above we always start with an initial state.
 - Every change to the 
Statewill be then delivered to allFeedbackloops that were added to the system. Feedbackthen decides whether any action should be performed with a subset of theState(e.g calling API, observe UI events) by dispatching anEvent, or ignoring it by returningSignalProducer.empty.- Dispatched 
Eventthen goes to theReducerwhich applies it and returns a new value of theState. - And then cycle starts all over (see 2).
 
Example
let increment = Feedback<Int, Event> { _ in
    return self.plusButton.reactive
        .controlEvents(.touchUpInside)
        .map { _ in Event.increment }
}
let decrement = Feedback<Int, Event> { _ in
    return self.minusButton.reactive
        .controlEvents(.touchUpInside)
        .map { _ in Event.decrement }
}
let system = SignalProducer<Int, NoError>.system(initial: 0,
    reduce: { (count, event) -> Int in
        switch event {
        case .increment:
            return count + 1
        case .decrement:
            return count - 1
        }
    },
    feedbacks: [increment, decrement])
label.reactive.text <~ system.map(String.init)

Advantages
TODO
Acknowledgements
This is a community fork of the ReactiveFeedback project (with the MIT license) from Babylon Health.