Reactive implementation of Presentation Model pattern in Android.
RxPM allows to use the RxJava all the way from the view to the model.
The main advantage of that is the ability to write UI logic declaratively.
We focus on practice, so the library solves most of the typical presentation layer problems.
Also, see a multiplatform implementation of the Presentation Model.
Actually the only difference between these two is that PM does'n have automated binding.
So PM name is just more correct for us. However many call it MVVM, so let it be.
Add the dependency to your build.gradle:
dependencies {
implementation 'me.dmdev.rxpm:rxpm:$latest_version'
// RxBinding (optional)
implementation 'com.jakewharton.rxbinding3:rxbinding:$latest_version'
}
class CounterPm : PresentationModel() {
companion object {
const val MAX_COUNT = 10
}
val count = state(initialValue = 0)
val minusButtonEnabled = state {
count.observable.map { it > 0 }
}
val plusButtonEnabled = state {
count.observable.map { it < MAX_COUNT }
}
val minusButtonClicks = action<Unit> {
this.filter { count.value > 0 }
.map { count.value - 1 }
.doOnNext(count.consumer)
}
val plusButtonClicks = action<Unit> {
this.filter { count.value < MAX_COUNT }
.map { count.value + 1 }
.doOnNext(count.consumer)
}
}
In this sample the initialisation of states and actions is done in their own blocks, but it's also possible to do it in onCreate()
or other callbacks. Don't forget to use untilDestroy()
or other similar extension.
class CounterActivity : PmActivity<CounterPm>() {
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_counter)
}
override fun providePresentationModel() = CounterPm()
override fun onBindPresentationModel(pm: CounterPm) {
pm.count bindTo { counterText.text = it.toString() }
pm.minusButtonEnabled bindTo minusButton::setEnabled
pm.plusButtonEnabled bindTo plusButton::setEnabled
minusButton.clicks() bindTo pm.minusButtonClicks
plusButton.clicks() bindTo pm.plusButtonClicks
}
}
The PresentationModel stores the state of the View and holds the UI logic.
PresentationModel instance is automatically retained during configuration changes. This behavior is provided by the delegate which controls the lifecycle.
Lifecycle callbacks:
onCreate()
— Called when the PresentationModel is created. Initialize your Rx chains in this method.onBind()
— Called when the View binds to the PresentationModel.onResume
- Called when the View resumes and begins to receive updates from states and commands.onPause
- Called when the View pauses. At this point, states and commands stop emitting to the View and turn on internal buffer until the View resumes again.onUnbind()
— Called when the View unbinds from the PresentationModel.onDestroy()
— Called when the PresentationModel is being destroyed. Dispose all subscriptions in this method.
What's more, you can observe lifecycle changes via lifecycleObservable
.
Also the useful extensions of the Disposable are available to make lifecycle handling easier: untilPause
,untilUnbind
and untilDestroy
.
The library has several predefined PmView implementations: PmActivity
, PmFragment
, PmDialogFragment
and PmController
(for Conductor's users).
You have to implement only two methods:
providePresentationModel()
— Create the instance of the PresentationModel.onBindPresentationModel()
— Bind to the PresentationModel properties in this method. Use thebindTo
,passTo
extensions and RxBinding to do this.
State is a reactive property which represents a View state.
It holds the latest value and emits it on binding. For example, State can be used to represent a progress of the http-request or some data that can change in time.
In the PresentationModel:
val inProgress = state(false)
Change the value:
inProgress.accept(true)
Observe changes in the View:
pm.inProgress bindTo progressBar.visibility()
Usually there is a data source already or the state is derived from other states. In this case, it’s convenient to describe this using lambda as shown below:
// Disable the button during the request
val buttonEnabled = state(false) {
inProgress.observable.map { progress -> !progress }
}
In order to optimize the state update and to avoid unnecessary rendering on the view you can add a DiffStrategy
in the State
. By default, the DiffByEquals
strategy is used. It's suitable for primitives and simple date classes, whereas DiffByReference
is better to use for collections(like List).
Action is the reactive property which represents the user actions.
It's mostly used for receiving events from the View, such as clicks.
In the View:
button.clicks() bindTo pm.buttonClicks
In the PresentationModel:
val buttonClicks = action<Unit>()
// Subscribe in onCreate
buttonClicks.observable
.subscribe {
// handle click
}
.untilDestroy()
Typically, some Action triggers an asynchronous operation, such as a request to backend. In this case, the rx-chain may throw an exception and app will crash. It's possible to handle errors in the subscribe block, but this is not enough. After the first failure, the chain will be terminated and stop processing clicks. Therefore, the correct handling involves the use of the retry
operator and looks as follows:
val buttonClicks = action<Unit>()
// Subscribe in onCreate
buttonClicks.observable
.skipWhileInProgress(inProgress) // filter clicks during the request
.switchMapSingle {
requestInteractor()
.bindProgress(inProgress)
.doOnSuccess { /* handle result */ }
.doOnError { /* handel error */ }
}
.retry()
.subscribe()
.untilDestroy()
But often people forget about it. Therefore, we added the ability to describe the rx-chain of Action
in it's initialisation block. This improves readability and eliminates boilerplate code:
val buttonClicks = action<Unit> {
this.skipWhileInProgress(inProgress) // filter clicks during the request
.switchMapSingle {
requestInteractor()
.bindProgress(inProgress)
.doOnSuccess { /* handle result */ }
.doOnError { /* handel error */ }
}
}
Command is the reactive property which represents a command to the View.
It can be used to show a toast or snackbar.
Define it in the PresentationModel:
val errorMessage = Command<String>()
Show some message in the View:
pm.errorMessage bindTo { message ->
Toast.makeText(context, message, Toast.LENGTH_SHORT).show()
}
When the View is paused, Command collects all received values and emits them on resume:
For the cases of two-way data binding (eg. input field text changes) the library has predefined Сontrols.
In the PresentationModel:
val name = inputControl(
formatter = {
it.take(50).capitalize().replace("[^a-zA-Z- ]".toRegex(), "")
}
)
val checked = checkControl()
In the View:
pm.name bindTo editText
pm.checked bindTo checkBox
The DialogControl is a component make possible the interaction with the dialogs in reactive style.
It manages the lifecycle and the state of the dialog. Just bind your Dialog object (eg. AlertDialog) to the DialogControl. No need in DialogFragment anymore.
Here is an example of the dialog to confirm exit from the application:
enum class DialogResult { EXIT, CANCEL }
val dialogControl = dialogControl<String, DialogResult>()
val backButtonClicks = action<Unit> {
this.switchMapMaybe {
dialogControl.showForResult("Do you really want to exit?")
}
.filter { it == DialogResult.EXIT }
.doOnNext {
// close application
}
}
Bind the dialogControl
to AlertDialog in the View:
pm.dialogControl bindTo { message, dialogControl ->
AlertDialog.Builder(context)
.setMessage(message)
.setPositiveButton("Exit") { _, _ ->
dialogControl.sendResult(DialogResult.EXIT)
}
.setNegativeButton("Cancel") { _, _ ->
dialogControl.sendResult(DialogResult.CANCEL)
}
.create()
}
Validating forms is now easy. Create the FormValidator
using DSL to check InputControls
and CheckControls
:
val validateButtonClicks = action<Unit> {
doOnNext { formValidator.validate() }
}
private val formValidator = formValidator {
input(name) {
empty("Input Name")
}
input(email, required = false) {
pattern(ANDROID_EMAIL_PATTERN, "Invalid e-mail address")
}
input(phone, validateOnFocusLoss = true) {
valid(phoneUtil::isValidPhone, "Invalid phone number")
}
input(password) {
empty("Input Password")
minSymbols(6, "Minimum 6 symbols")
pattern(
regex = "^(?=.*[a-z])(?=.*[A-Z])(?=.*[\\d]).{6,}\$",
errorMessage = "The password must contain a large and small letters, numbers."
)
}
input(confirmPassword) {
empty("Confirm Password")
equalsTo(password, "Passwords do not match")
}
check(termsCheckBox) {
acceptTermsOfUse.accept("Please accept the terms of use")
}
}
In almost every application, there are pagination and data loading. What's more, we have to handle screen states correctly. We recommend using the library RxPagingLoading. The solution is based on the usage of Unidirectional Data Flow pattern and is perfectly compatible with RxPM.
The sample shows how to use RxPM in practice.
You can test PresentationModel in the same way as any other class with RxJava (using TestObserver, Mockito, other).
The only difference is that you have to change it's lifecycle state while testing. And PmTestHelper allows you to do that.
Note that Command passes events only when PM is in the RESUMED state.
Thanks for contributing: @Jeevuz @sdelaysam @vchernyshovnullgr @aasitnikov @mochalovv
The MIT License (MIT)
Copyright (c) 2017-2021 Dmitriy Gorbunov (dmitriy.goto@gmail.com)
and Vasili Chyrvon (vasili.chyrvon@gmail.com)
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