MVVM best practice: Inputs - Outputs

When it comes to iOS architecture, MVVM is one of the most favorable candidates. Not only does it provide higher testability than MVC but also this architecture is lightweight as compared to its counterparts such as VIPER. Despite that, proper approaches should be adopted to take advantage of MVVM. Otherwise, we could end up with an alike version of MVC with an additional component (ViewModel).

This post introduces an approach call Inputs - Outputs, currently used at Kickstarter. You can see a high fraction of this style in the Kickstarter iOS app.

Disclaimer: This approach is nothing but a convention. Don’t get confused it with an architecture.



protocol LoginViewModelInputsType {
	func viewDidLoad()
	func tapSubmit()
	func type(email: String)
	func type(password: String)

protocol LoginViewModelOutputsType {
	var validInput: Observable<Bool> { get }
	var isLoading: Observable<Bool> { get }
	var loginSuccess: Observable<Void> { get }
	var loginFailure: Observable<ErrorMessage> { get }

protocol LoginViewModelType {
	var inputs: LoginViewModelInputsType { get }
	var ouputs: LoginViewModelOutputsType { get }

This is what LoginViewModel looks like:

final class LoginViewModel: LoginViewModelType, LoginViewModelInputsType, LoginViewModelOutputsType {
	var inputs: LoginViewModelInputsType { return self }
	var ouputs: LoginViewModelOutputsType { return self }

	// MARK: - Inputs
	private let _tapSubmit = Variable<Void>(())
	func tapSubmit() { 
		_tapSubmit.value = ()

	private let _email = Variable<String>("")
	func type(email: String) {
		_email.value = email

	// MARK: - Ouputs
	private let _loginSuccess = Variable<Void>(())
	var loginSuccess: Observable<Void> { return _loginSuccess.skip(1) }

	init() {
		let loginObservable = _tapSubmit.asObservable().skip(1)

			.bind(to: _loginSuccess)
			.diposed(by: disposeBag)

		// Binding for `_loginFailure` and `isLoading` goes here

Why Inputs - Outputs?

First of all, by using protocols like this, we achieve higher level of abstraction. Therefore, our code is more behavior-oriented and easier to test.

Another advantage of this protocol-based convention is readability in unit tests. Let’s take a look at the two simple tests below:

func test_When_PasswordIsEmpty_Then_InputIsInvalid() {
	viewModel.inputs.type(email: "[email protected]")

	// `grabLatestValue` is just an utility function we can write to retrieve
	// the latest value in the stream (during a specific period of time).
	// `RxBlocking` comes for the rescue.
	let validInput = grabLatestValue(viewModel.outputs.validInput, duration: 1)

func test_When_Submitting_Then_ShouldShowLoadingAndThenHideWhenCompleted() {
	viewModel.inputs.type(email: "[email protected]")
	viewModel.inputs.type(password: "Password0")

	let loadingStates = grabLatestValue(viewModel.outputs.isLoading, duration: 1)
	expect(loadingStates).to(beEqual([true, false]))

By looking at the codes related to inputs calls, we quickly have a sense of the scenarios we are trying to simulate. Similarly, what we expect to see are reflected upon outputs.