I'm using Redux and somewhere in application I need to check if returning data is not null, then run a function.
as you know in redux we should initialize the states like this:
data class ApplicationState(
val movieByGenre : List<DomainMovieModel> = emptyList()
)
the problem is when I check the data ,at the very beginning level, data has been set to empty list, and it satisfies the IF statement
by the way here is the implementation inside view model
fun getMovieByGenre(genreId: Int){
viewModelScope.launch {
val response=repository.getMovieByGenre(genreId)
store.update { currentState->
return#update currentState.copy(movieByGenre = response)
}
}
}
and here is the implementation in fragment:
viewModel.store.stateFlow.map { it.movieByGenre }.distinctUntilChanged().asLiveData().observe(viewLifecycleOwner){
if (it.isEmpty() ){
....
}else{
.....
}
}
(Disclaimer: There are a ton of questions which arise from people asking about data being null/incorrect when using asynchronous operations through requests such as facebook,firebase, etc. My intention for this question was to provide a simple answer for that problem to everyone starting out with asynchronous operations in android)
I'm trying to get data from one of my operations, when I debug it using breakpoints or logs, the values are there, but when I run it they are always null, how can I solve this ?
Firebase
firebaseFirestore.collection("some collection").get()
.addOnSuccessListener(new OnSuccessListener<QuerySnapshot>() {
#Override
public void onSuccess(QuerySnapshot documentSnapshots) {
//I want to return these values I receive here...
});
//...and use the returned value here.
Facebook
GraphRequest request = GraphRequest.newGraphPathRequest(
accessToken,
"some path",
new GraphRequest.Callback() {
#Override
public void onCompleted(GraphResponse response) {
//I want to return these values I receive here...
}
});
request.executeAsync();
//...and use the returned value here.
Kotlin coroutine
var result: SomeResultType? = null
someScope.launch {
result = someSuspendFunctionToRetrieveSomething()
//I want to return the value I received here...
}
Log.d("result", result.toString()) //...but it is still null here.
Etc.
What is a Synchronous/Asynchronous operation ?
Well, Synchronous waits until the task has completed. Your code executes "top-down" in this situation.
Asynchronous completes a task in the background and can notify you when it is complete.
If you want to return the values from an async operation through a method/function, you can define your own callbacks in your method/function to use these values as they are returned from these operations.
Here's how for Java
Start off by defining an interface :
interface Callback {
void myResponseCallback(YourReturnType result);//whatever your return type is: string, integer, etc.
}
next, change your method signature to be like this :
public void foo(final Callback callback) { // make your method, which was previously returning something, return void, and add in the new callback interface.
next up, wherever you previously wanted to use those values, add this line :
callback.myResponseCallback(yourResponseObject);
as an example :
#Override
public void onSuccess(QuerySnapshot documentSnapshots) {
// create your object you want to return here
String bar = document.get("something").toString();
callback.myResponseCallback(bar);
})
now, where you were previously calling your method called foo:
foo(new Callback() {
#Override
public void myResponseCallback(YourReturnType result) {
//here, this result parameter that comes through is your api call result to use, so use this result right here to do any operation you previously wanted to do.
}
});
}
How do you do this for Kotlin ?
(as a basic example where you only care for a single result)
start off by changing your method signature to something like this:
fun foo(callback:(YourReturnType) -> Unit) {
.....
then, inside your asynchronous operation's result :
firestore.collection("something")
.document("document").get()
.addOnSuccessListener {
val bar = it.get("something").toString()
callback(bar)
}
then, where you would have previously called your method called foo, you now do this :
foo() { result->
// here, this result parameter that comes through is
// whatever you passed to the callback in the code aboce,
// so use this result right here to do any operation
// you previously wanted to do.
}
// Be aware that code outside the callback here will run
// BEFORE the code above, and cannot rely on any data that may
// be set inside the callback.
if your foo method previously took in parameters :
fun foo(value:SomeType, callback:(YourType) -> Unit)
you simply change it to :
foo(yourValueHere) { result ->
// here, this result parameter that comes through is
// whatever you passed to the callback in the code aboce,
// so use this result right here to do any operation
// you previously wanted to do.
}
these solutions show how you can create a method/function to return values from async operations you've performed through the use of callbacks.
However, it is important to understand that, should you not be interested in creating a method/function for these:
#Override
public void onSuccess(SomeApiObjectType someApiResult) {
// here, this `onSuccess` callback provided by the api
// already has the data you're looking for (in this example,
// that data would be `someApiResult`).
// you can simply add all your relevant code which would
// be using this result inside this block here, this will
// include any manipulation of data, populating adapters, etc.
// this is the only place where you will have access to the
// data returned by the api call, assuming your api follows
// this pattern
})
There's a particular pattern of this nature I've seen repeatedly, and I think an explanation of what's happening would help. The pattern is a function/method that calls an API, assigning the result to a variable in the callback, and returns that variable.
The following function/method always returns null, even if the result from the API is not null.
Kotlin
fun foo(): String? {
var myReturnValue: String? = null
someApi.addOnSuccessListener { result ->
myReturnValue = result.value
}.execute()
return myReturnValue
}
Kotlin coroutine
fun foo(): String? {
var myReturnValue: String? = null
lifecycleScope.launch {
myReturnValue = someApiSuspendFunction()
}
return myReturnValue
}
Java 8
private String fooValue = null;
private String foo() {
someApi.addOnSuccessListener(result -> fooValue = result.getValue())
.execute();
return fooValue;
}
Java 7
private String fooValue = null;
private String foo() {
someApi.addOnSuccessListener(new OnSuccessListener<String>() {
public void onSuccess(Result<String> result) {
fooValue = result.getValue();
}
}).execute();
return fooValue;
}
The reason is that when you pass a callback or listener to an API function, that callback code will only be run some time in the future, when the API is done with its work. By passing the callback to the API function, you are queuing up work, but the current function (foo() in this case) returns immediately before that work begins and before that callback code is run.
Or in the case of the coroutine example above, the launched coroutine is very unlikely to complete before the function that started it.
Your function that calls the API cannot return the result that is returned in the callback (unless it's a Kotlin coroutine suspend function). The solution, explained in the other answer, is to make your own function take a callback parameter and not return anything.
Alternatively, if you're working with coroutines, you can make your function suspend instead of launching a separate coroutine. When you have suspend functions, somewhere in your code you must launch a coroutine and handle the results within the coroutine. Typically, you would launch a coroutine in a lifecycle function like onCreate(), or in a UI callback like in an OnClickListener.
Other answer explains how to consume APIs based on callbacks by exposing a similar callbacks-based API in the outer function. However, recently Kotlin coroutines become more and more popular, especially on Android and while using them, callbacks are generally discouraged for such purposes. Kotlin approach is to use suspend functions instead. Therefore, if our application uses coroutines already, I suggest not propagating callbacks APIs from 3rd party libraries to the rest of our code, but converting them to suspend functions.
Converting callbacks to suspend
Let's assume we have this callback API:
interface Service {
fun getData(callback: Callback<String>)
}
interface Callback<in T> {
fun onSuccess(value: T)
fun onFailure(throwable: Throwable)
}
We can convert it to suspend function using suspendCoroutine():
private val service: Service
suspend fun getData(): String {
return suspendCoroutine { cont ->
service.getData(object : Callback<String> {
override fun onSuccess(value: String) {
cont.resume(value)
}
override fun onFailure(throwable: Throwable) {
cont.resumeWithException(throwable)
}
})
}
}
This way getData() can return the data directly and synchronously, so other suspend functions can use it very easily:
suspend fun otherFunction() {
val data = getData()
println(data)
}
Note that we don't have to use withContext(Dispatchers.IO) { ... } here. We can even invoke getData() from the main thread as long as we are inside the coroutine context (e.g. inside Dispatchers.Main) - main thread won't be blocked.
Cancellations
If the callback service supports cancelling of background tasks then it is best to cancel when the calling coroutine is itself cancelled. Let's add a cancelling feature to our callback API:
interface Service {
fun getData(callback: Callback<String>): Task
}
interface Task {
fun cancel();
}
Now, Service.getData() returns Task that we can use to cancel the operation. We can consume it almost the same as previously, but with small changes:
suspend fun getData(): String {
return suspendCancellableCoroutine { cont ->
val task = service.getData(object : Callback<String> {
...
})
cont.invokeOnCancellation {
task.cancel()
}
}
}
We only need to switch from suspendCoroutine() to suspendCancellableCoroutine() and add invokeOnCancellation() block.
Example using Retrofit
interface GitHubService {
#GET("users/{user}/repos")
fun listRepos(#Path("user") user: String): Call<List<Repo>>
}
suspend fun listRepos(user: String): List<Repo> {
val retrofit = Retrofit.Builder()
.baseUrl("https://api.github.com/")
.build()
val service = retrofit.create<GitHubService>()
return suspendCancellableCoroutine { cont ->
val call = service.listRepos(user)
call.enqueue(object : Callback<List<Repo>> {
override fun onResponse(call: Call<List<Repo>>, response: Response<List<Repo>>) {
if (response.isSuccessful) {
cont.resume(response.body()!!)
} else {
// just an example
cont.resumeWithException(Exception("Received error response: ${response.message()}"))
}
}
override fun onFailure(call: Call<List<Repo>>, t: Throwable) {
cont.resumeWithException(t)
}
})
cont.invokeOnCancellation {
call.cancel()
}
}
}
Native support
Before we start converting callbacks to suspend functions, it is worth checking whether the library that we use does support suspend functions already: natively or with some extension. Many popular libraries like Retrofit or Firebase support coroutines and suspend functions. Usually, they either provide/handle suspend functions directly or they provide suspendable waiting on top of their asynchronous task/call/etc. object. Such waiting is very often named await().
For example, Retrofit supports suspend functions directly since 2.6.0:
interface GitHubService {
#GET("users/{user}/repos")
suspend fun listRepos(#Path("user") user: String): List<Repo>
}
Note that we not only added suspend, but also we no longer return Call, but the result directly. Now, we can use it without all this enqueue() boilerplate:
val repos = service.listRepos(user)
TL;DR The code you pass to these APIs (e.g. in the onSuccessListener) is a callback, and it runs asynchronously (not in the order it is written in your file). It runs at some point later in the future to "call back" into your code. Without using a coroutine to suspend the program, you cannot "return" data retrieved in a callback from a function.
What is a callback?
A callback is a piece of code you pass to some third party library that it will run later when some event happens (e.g. when it gets data from a server). It is important to remember that the callback is not run in the order you wrote it - it may be run much later in the future, could run multiple times, or may never run at all. The example callback below will run Point A, start the server fetching process, run Point C, exit the function, then some time in the distant future may run Point B when the data is retrieved. The printout at Point C will always be empty.
fun getResult() {
// Point A
var r = ""
doc.get().addOnSuccessListener { result ->
// The code inside the {} here is the "callback"
// Point B - handle result
r = result // don't do this!
}
// Point C - r="" still here, point B hasn't run yet
println(r)
}
How do I get the data from the callback then?
Make your own interface/callback
Making your own custom interface/callback can sometimes make things cleaner looking but it doesn't really help with the core question of how to use the data outside the callback - it just moves the aysnc call to another location. It can help if the primary API call is somewhere else (e.g. in another class).
// you made your own callback to use in the
// async API
fun getResultImpl(callback: (String)->Unit) {
doc.get().addOnSuccessListener { result ->
callback(result)
}
}
// but if you use it like this, you still have
// the EXACT same problem as before - the printout
// will always be empty
fun getResult() {
var r = ""
getResultImpl { result ->
// this part is STILL an async callback,
// and runs later in the future
r = result
}
println(r) // always empty here
}
// you still have to do things INSIDE the callback,
// you could move getResultImpl to another class now,
// but still have the same potential pitfalls as before
fun getResult() {
getResultImpl { result ->
println(result)
}
}
Some examples of how to properly use a custom callback: example 1, example 2, example 3
Make the callback a suspend function
Another option is to turn the async method into a suspend function using coroutines so it can wait for the callback to complete. This lets you write linear-looking functions again.
suspend fun getResult() {
val result = suspendCoroutine { cont ->
doc.get().addOnSuccessListener { result ->
cont.resume(result)
}
}
// the first line will suspend the coroutine and wait
// until the async method returns a result. If the
// callback could be called multiple times this may not
// be the best pattern to use
println(result)
}
Re-arrange your program into smaller functions
Instead of writing monolithic linear functions, break the work up into several functions and call them from within the callbacks. You should not try to modify local variables within the callback and return or use them after the callback (e.g. Point C). You have to move away from the idea of returning data from a function when it comes from an async API - without a coroutine this generally isn't possible.
For example, you could handle the async data in a separate method (a "processing method") and do as little as possible in the callback itself other than call the processing method with the received result. This helps avoid a lot of the common errors with async APIs where you attempt to modify local variables declared outside the callback scope or try to return things modified from within the callback. When you call getResult it starts the process of getting the data. When that process is complete (some time in the future) the callback calls showResult to show it.
fun getResult() {
doc.get().addOnSuccessListener { result ->
showResult(result)
}
// don't try to show or return the result here!
}
fun showResult(result: String) {
println(result)
}
Example
As a concrete example here is a minimal ViewModel showing how one could include an async API into a program flow to fetch data, process it, and display it in an Activity or Fragment. This is written in Kotlin but is equally applicable to Java.
class MainViewModel : ViewModel() {
private val textLiveData = MutableLiveData<String>()
val text: LiveData<String>
get() = textLiveData
fun fetchData() {
// Use a coroutine here to make a dummy async call,
// this is where you could call Firestore or other API
// Note that this method does not _return_ the requested data!
viewModelScope.launch {
delay(3000)
// pretend this is a slow network call, this part
// won't run until 3000 ms later
val t = Calendar.getInstance().time
processData(t.toString())
}
// anything out here will run immediately, it will not
// wait for the "slow" code above to run first
}
private fun processData(d: String) {
// Once you get the data you may want to modify it before displaying it.
val p = "The time is $d"
textLiveData.postValue(p)
}
}
A real API call in fetchData() might look something more like this
fun fetchData() {
firestoreDB.collection("data")
.document("mydoc")
.get()
.addOnCompleteListener { task ->
if (task.isSuccessful) {
val data = task.result.data
processData(data["time"])
}
else {
textLiveData.postValue("ERROR")
}
}
}
The Activity or Fragment that goes along with this doesn't need to know anything about these calls, it just passes actions in by calling methods on the ViewModel and observes the LiveData to update its views when new data is available. It cannot assume that the data is available immediately after a call to fetchData(), but with this pattern it doesn't need to.
The view layer can also do things like show and hide a progress bar while the data is being loaded so the user knows it's working in the background.
class MainActivity : AppCompatActivity() {
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
val binding = ActivityMainBinding.inflate(layoutInflater)
setContentView(binding.root)
val model: MainViewModel by viewModels()
// Observe the LiveData and when it changes, update the
// state of the Views
model.text.observe(this) { processedData ->
binding.text.text = processedData
binding.progress.visibility = View.GONE
}
// When the user clicks the button, pass that action to the
// ViewModel by calling "fetchData()"
binding.getText.setOnClickListener {
binding.progress.visibility = View.VISIBLE
model.fetchData()
}
binding.progress.visibility = View.GONE
}
}
The ViewModel is not strictly necessary for this type of async workflow - here is an example of how to do the same thing in the activity
class MainActivity : AppCompatActivity() {
private lateinit var binding: ActivityMainBinding
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
binding = ActivityMainBinding.inflate(layoutInflater)
setContentView(binding.root)
// When the user clicks the button, trigger the async
// data call
binding.getText.setOnClickListener {
binding.progress.visibility = View.VISIBLE
fetchData()
}
binding.progress.visibility = View.GONE
}
private fun fetchData() {
lifecycleScope.launch {
delay(3000)
val t = Calendar.getInstance().time
processData(t.toString())
}
}
private fun processData(d: String) {
binding.progress.visibility = View.GONE
val p = "The time is $d"
binding.text.text = p
}
}
(and, for completeness, the activity XML)
<?xml version="1.0" encoding="utf-8"?>
<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".MainActivity">
<TextView
android:id="#+id/text"
android:layout_margin="16dp"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
app:layout_constraintLeft_toLeftOf="parent"
app:layout_constraintRight_toRightOf="parent"
app:layout_constraintTop_toTopOf="parent"/>
<Button
android:id="#+id/get_text"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_margin="16dp"
android:text="Get Text"
app:layout_constraintLeft_toLeftOf="parent"
app:layout_constraintRight_toRightOf="parent"
app:layout_constraintTop_toBottomOf="#+id/text"
/>
<ProgressBar
android:id="#+id/progress"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:padding="48dp"
app:layout_constraintLeft_toLeftOf="parent"
app:layout_constraintRight_toRightOf="parent"
app:layout_constraintTop_toBottomOf="#+id/get_text"
/>
</androidx.constraintlayout.widget.ConstraintLayout>
The following code is from the project.
The function of tasksRepository.refreshTasks() is to insert data from remote server to local DB, it's a time consuming operation.
In class TasksViewModel, asksRepository.refreshTasks() is wrapped with viewModelScope.launch{}, it means launch and careless.
1: How can I guarantee tasksRepository.observeTasks().distinctUntilChanged().switchMap { filterTasks(it) } to return the latest result?
2: I don't know how distinctUntilChanged() work, will it keep listening to return the latest result in whole Lifecycle ?
3: What's happened if I use tasksRepository.observeTasks().switchMap { filterTasks(it) } instead of tasksRepository.observeTasks().distinctUntilChanged().switchMap { filterTasks(it) }
Code
class TasksViewModel(..) : ViewModel() {
private val _items: LiveData<List<Task>> = _forceUpdate.switchMap { forceUpdate ->
if (forceUpdate) {
_dataLoading.value = true
viewModelScope.launch {
tasksRepository.refreshTasks()
_dataLoading.value = false
}
}
tasksRepository.observeTasks().distinctUntilChanged().switchMap { filterTasks(it) }
}
...
}
class DefaultTasksRepository(...) : TasksRepository {
override suspend fun refreshTask(taskId: String) {
updateTaskFromRemoteDataSource(taskId)
}
private suspend fun updateTasksFromRemoteDataSource() {
val remoteTasks = tasksRemoteDataSource.getTasks()
if (remoteTasks is Success) {
tasksLocalDataSource.deleteAllTasks()
remoteTasks.data.forEach { task ->
tasksLocalDataSource.saveTask(task)
}
} else if (remoteTasks is Result.Error) {
throw remoteTasks.exception
}
}
override fun observeTasks(): LiveData<Result<List<Task>>> {
return tasksLocalDataSource.observeTasks()
}
}
switchMap - The returned LiveData delegates to the most recent LiveData created by calling switchMapFunction with the most recent value set to source, without changing the reference. Doc
Yes, it'll keep listening to return the latest result in whole Lifecycle. distinctUntilChanged creates a new LiveData object that does not emit a value until the source LiveData value has been changed. The value is considered changed if equals() yields false.
Yes you can use that too but it'll keep emitting the values even the values are the same as the last emitted value.
e.g. first emitted value is ["aman","bansal"] and the second is the same ["aman","bansal"] which you don't want to emit since the values are same. So you use distinctUntilChanged to make sure it won't emit the same value until changed.
I hope this helped.
during the last two days I read a lot about the rxJava retryWhen operator.
Here, here, here and some more I forgot.
But unfortunately I'm not able to get it work.
What I'm trying to achive is, that I make an API call. If the call returns an error, I'm showing a SnackBar to the user with a reload button. If the user clicks this button, I would like to resubscribe to the chain.
Here is my code:
interface RetrofitApi {
#GET("/v1/loadMyData")
fun getMyData(): Single<Response<DataResponse>>
}
Where Response is from retrofit2. I need it to wrap the data class to check if response is successful.
The next fun is called in a repository from a ViewModel:
override fun loadMyData(): Observable<Resource<DataResponse>> {
return retrofitApi
.getMyData()
.compose(getRetryTransformer())
.toObservable()
.compose(getResponseTransformer())
}
Resource is another wrapper for the state of the call (SUCCESS, ERROR, LOADING).
And finally the Transformer:
private fun <Data> getRetryTransformer(): SingleTransformer<Response<Data>, Response<Data>> {
return SingleTransformer { singleResponse ->
singleResponse
.onErrorReturn {
singleResponse.blockingGet()
}
.retryWhen { errors ->
errors.zipWith(retrySubject.toFlowable(BackpressureStrategy.LATEST),
BiFunction<Throwable, Boolean, Flowable<Throwable>> { throwable: Throwable, isRetryEnabled: Boolean ->
if (isRetryEnabled) {
Flowable.just(null)
} else {
Flowable.error(throwable)
}
})
}
}
}
The retrySubject:
private val retrySubject = PublishSubject.create<Boolean>()
And when the user clicks the retry button, I call:
retrySubject.onNext(true)
The problem is now, that the error is not returned to the ViewModel and the SnackBar is never shown. I tried onErrorResumeNext() as well with no success. The whole retryWhen/zipWith part seem to work. Because in the repository there some more API calls with no retry behavior (yet) and there the SnackBar is displayed. That means, I do anther call where the SnackBar is shown -> button click and the retry transform works as expected.
If you need some more information please don't hesitate to ask! Any help is appreciated!
Strange, as soon you do it the right way, it works.
I over read somehow that I need in doOnError{...} to manage to show my Snackbar.
Here is my working retry transformer:
private fun <Data> getRetryTransformer(): SingleTransformer<Response<Data>, Response<Data>> {
return SingleTransformer { singleResponse ->
singleResponse
.doOnError {
errorEventSubject.onNext(it)
}
.retryWhen { errors ->
errors.zipWith(retrySubject.toFlowable(BackpressureStrategy.LATEST),
BiFunction<Throwable, Boolean, Flowable<Throwable>> { throwable: Throwable, isRetryEnabled: Boolean ->
if (isRetryEnabled) {
Flowable.just(throwable)
} else {
Flowable.error(throwable)
}
})
}
}
}
And the chain looks now like this (and I think it's beautiful):
override fun loadMyData(): Observable<Resource<DataResponse>> {
return retrofitApi
.getMyData()
.compose(getRetryTransformer())
.toObservable()
.compose(getResponseTransformer())
}
What else I needed to propagate the error to my ViewModel is a 2nd PublishSubject:
private val errorEventSubject = PublishSubject.create<Throwable>()
And in the ViewModel I observe the changes for it and show the Snackbar.
That's it.
I have a feature in my application which has some private state information and some public state to share. How can I get rid of the mutable private state variable? How do I get the private state into the chain?
I just recently learned about functional programming and wanted to transform this feature to a more fp-like approach.
This is my approach so far as a simple example.
sealed class PublicState {
data class Data(val a:Int, val b:Int):PublicState()
object Pending : PublicState()
}
data class PrivateState(val a:Int, val b:Int, val x:Int)
sealed class Action {
data class InputC(val c:Int):Action()
data class InputD(val d:Int):Action()
}
sealed class Update {
data class A(val a:Int):Update()
data class B(val b:Int):Update()
object Working : Update()
}
class Feature {
val actions = PublishSubject.create<Action>()
val state = BehaviorSubject.create<PublicState>()
private var privateState = PrivateState(0,0,1)
init {
val startState = privateState.toPublicState()
actions.flatMap {action ->
when (action) {
is Action.InputC -> handleC(action)
is Action.InputD -> handleD(action)
}
}.scan(startState, ::reduce)
.subscribe(state)
}
fun reduce(previousState:PublicState, update: Update):PublicState {
// can't use previousState because Pending has not all information
// I don't want to add the information to pending because state is undefined while pending
return when (update) {
is Update.A -> privateState.copy(a = update.a).toPublicState()
is Update.B -> privateState.copy(b = update.b).toPublicState()
Update.Working -> PublicState.Pending
}
}
fun doAction(action: Action) {
actions.onNext(action)
}
private fun handleC(action:Action.InputC):Observable<Update> {
return Observable.fromCallable {
// time consuming work which uses x
val result = privateState.x + privateState.a + action.c
Update.A(result) as Update
}.startWith(Update.Working)
}
private fun handleD(action:Action.InputD):Observable<Update> {
return Observable.fromCallable {
// time consuming work which uses x
val result = privateState.x + privateState.b + action.d
Update.B(result) as Update
}.startWith(Update.Working)
}
}
private fun PrivateState.toPublicState(): PublicState {
return PublicState.Data(a, b)
}
In reality there are a lot more state variables than a, b and x. But if I want them in the chain, I have a gigantic State variable and all of it gets exposed. It feels easier with the mutable variable.
Do you have any suggestion how to solve this? I am also open for other patterns, if you think this is a wrong approach.
My goal is to keep some private state and expose just the PublicState.
FP does not deal with private states. Why would you care about keeping something private? Because someone else, from an outer world, could intentionally or not mutate that one and bring entire object into disrepair, right? But there are no mutations in the FP. So you're safe.
Thus your quesiton reduces to the "how to handle state". Well, let me know if you want me to answer.