Fluxxan is an Android implementation of the Flux Architecture that combines concepts from both Fluxxor and Redux with minimal dependencies and support for Android SDK 8.
Originally DroidFlux, it started as a direct Android port of the popular Fluxxor library seeking to implement the Flux Architecture as popularised by Facebook for Android. The library has evolved into a hybrid of the original Flux and Redux, borrowing some of the great ideas from Redux while trying to be as close to the original dictates of Flux as much as possible. I ended up with something that looks like Flux, but works a lot like Redux.
Apps using Fluxxan in production
Fluxxan follows Semantic Versioning.
If you are looking for a pure java implementation, you can check out Fluxxan4j which strips out the android dependencies and supports Java 6.
Fluxxan is available on jcenter.
compile 'com.umaplay.oss:fluxxan:1.0.0'
Download the aar artifact from the artifacts directory and copy it into the libs directory of your app module.
Specify libs
as a repository in your root gradle file.
allprojects {
repositories {
...
flatDir { dirs 'libs' }
}
}
Specify Fluxxan as dependency in your app's gradle file.
dependencies {
compile fileTree(dir: 'libs', include: ['*.jar'])
compile(name: 'fluxxan-1.0.0', ext: 'aar')
...
}
I won't attempt to teach you the concepts of Flux. There are enough articles on the internet for that. Facebook has a great introduction to flux to get you started. I will instead focus on showing you how to achieve Flux using Fluxxan. In this introduction tutorial, I will walk you through building the sample Todo app included in the source.
Fluxxan is composed of the
- State
- Dispatcher
- Actions
- Action Creators
- Reducers (called stores in traditional Flux)
- StateListeners
- Middlewares
You hold your application state in a single State
object tree. In order to update the State
, you tell an ActionCreator
, which creates and dispatches an Action
object describing what happened.
The Dispatcher
calls all registered middlewares in the same registered order to intercept the actions been dispatched and perform async operations. Following the Dispatcher
calls all registered Reducer
s with the State
and Action
and each Reducer
specifies how the Action
transforms the state tree.
StateListeners
are passed the returned State
and update the UI accordingly.
The State
is the Single Source of Truth of your application. It a single object tree containing the entire app state.
Unlike Redux, Fluxxan does not force you to use an immutable state even though the default implementation assumes you do. It is greatly encouraged you do as it will both improve your code, debugging and increase the overall performance of your application. There is a reason most of the new Flux implementations are going immutable. If you choose not to go Immutable, you will need to override couple of methods to help you short circuit the dispatch process.
I've found Immutables to be a really great way to achieve Immutability. It's quick to setup and understand.
It’s a good idea to think of its shape before writing any code. For our Todo app will hold a list of Todo items and a Filter to define which Todos to show.
@Value.Immutable
public abstract class AppState {
@Value.Parameter
public abstract Map<String, Todo> getTodos();
@Value.Default
public Filter getFilter() {
return Filter.ALL;
}
public enum Filter {
ALL,
OPEN,
CLOSED
}
}
We also define our Todo
object as an Immutable.
@Value.Immutable
public abstract class Todo {
@Value
public abstract String getUid();
@Value
public abstract String getTitle();
@Value
public abstract Status getStatus();
public enum Status {
OPEN,
CLOSED
}
}
When we build our project, Immutables
will generate concrete immutable versions of our AppState
and Todo
models prefixed with "Immutable" to give ImmutableAppState
and ImmutableTodo
.
Actions are objects that define a Type
and a data Payload
.
The action Type
is a unique string to identify the given action and the Payload
is any object that you wish to pass to the Reducer
.
Action
s are created by ActionCreator
s and passed to the Dispatcher
which in turn passes it to each reducer.
As the name implies, Action Creators
are methods that create and dispatch Actions
.
Fluxxan does not dictate how you create your
Action Creators
. You have full freedom in this regard. They can be static methods or instance methods.
We have some guidelines which you can follow.
- Create a class to group related action creators. e.g. in our app we will create a
TodoActionCreator
class. - Use instances of each creator rather than static methods.
- Each creator should have a nested
Creator
class that handles the actual creation of theAction
s using static methods. This gives ourAction Creator
s two roles and allows to dispatch multiple actions or async tasks while still ensuring we can test ourAction
s easily. - Nested creator classes should be composed of pure static methods. They should return the same
Action
each time when given the same arguments. They should cause no side effects. - Don't limit your creators to only dispatch
Actions
. They are an opportunity to centralize all actions that are taken from the ui. e.g. In a music player app, you can have aPlayerActionCreator
class that has aplay()
method that tells the media player to start playing and does not dispatch an action. Technically, this is not anAction Creator
but it's nice that we can have all interactions with the player in one single place.
Let's see what we have in our Todo
app (simplified for brevity).
public class TodoActionCreator extends BaseActionCreator {
public static final String ADD_TODO = "ADD_TODO";
public void addTodo(String todo) {
//get and dispatch the action from our creator
dispatch(Creator.addTodo(todo));
}
public static class Creator {
public static Action<String> addTodo(String todo) {
return new Action<>(ADD_TODO, todo);
}
}
}
We extend BaseActionCreator which gives us dispatch(Action)
. Remember to set the dispatcher on your Action Creator after instantiation using setDispatcher(Dispatcher)
or Fluxxan.inject(ActionCreator)
As we can see, when we call addTodo
, our creator gets the relevant action from the nested creator and dispatches it. We can do neat things in addTodo
if we wanted like post to a web service.
In pseudo code it would look something like this:
public void addTodo(String todo) {
//save on the server
postToWebservice(todo)
.onStarted(c => dispatch(Creator.addTodoStarted(todo)))
.onSuccess(c => dispatch(Creator.addTodoSuccess(todo)))
.onFailure(c => dispatch(Creator.addTodoFailed(todo)));
}
Since we are using a dedicated Creator, this allows us to test the actions without having to mock the dispatcher or the web service. We can simply do anywhere in our code:
dispatch(TodoActionCreator.Creator.addTodoStarted(todo));
dispatch(TodoActionCreator.Creator.addTodoSuccess(todo));
dispatch(TodoActionCreator.Creator.addTodoFailed(todo));
###Reducers
Reducer
s describe how our State
changes in response to an Action
. Like ActionCreator Creators, Reducers need to be pure. That means, no side effects, no calling of an API etc. They should rely solely on the Action to transform the state.
Given the same arguments, Reducers should return the same result each time.
To register a Reducer
, you need to call Dispatcher.registerReducer(Reducer)
and Dispatcher.unregisterReducer(Reducer)
if you wish to remove it.
Reducer
s implement the Reducer interface.
We provide two abstract implementations: BaseReducer
and BaseAnnotatedReducer
both coupled to the default Dispatcher
implementation.
BaseReducer
requires you to implement reduce(State, Action)
in which you can check if you want to handle that action Type
.
@Override
public DispatchResult<State> reduce(State state, Action action) throws Exception {
if(action.Type.equals(TodoActionCreator.ADD_TODO)) {
//do your thing here
//return the new state and indicate that we handled this action
return new DispatchResult<>(newState, true);
}
return new DispatchResult<>(state, false);
}
BaseAnnotatedReducer
uses reflection to determine handlers for each action and calls them for you. This keeps your code cleaner and more concise.
You annotate the method with @BindAction(String)
and ensure the method has the signature State methodName(State state, PayloadType payload)
.
This is what our reducer looks like.
public class TodoReducer extends BaseAnnotatedReducer<AppState> {
@BindAction(TodoActionCreator.ADD_TODO)
public AppState addTodo(AppState state, String todo) {
Todo iTodo = ImmutableTodo.builder()
.uid(UUID.randomUUID().toString())
.title(todo)
.status(Todo.Status.OPEN)
.build();
return ImmutableAppState.builder()
.from(state)
.putTodos(iTodo.getUid(), iTodo)
.build();
}
}
You can call Dispathcer.waitFor
or the convenience method provided by BaseReducer
and by extension BaseAnnotatedReducer
.
This allows the reducer to ensure that other reducers run before it.
A StateListener
register's itself with the Dispatcher
to be notified each time the State
changes. It must implement the StateListener
interface. It can be any object including an Activity, Fragment, View or Service (running in the same process) etc.
A listener is added using the Dispatcher.addListener(StateListener)
and Dispatcher .removeListener(StateListener)
to remove it.
hasStateChanged(State newState, State oldState)
is a convenience method to help short-circuit the dispatch process if we aren't using an immutable state. You can localize your checks to certain nodes of the state tree specific to this listener.
Since we assume your state is immutable, the default implementations use return newState != oldState
. If this returns false, onStateChanged
is not called.
onStateChanged(final State state)
is called when the state has changed. This is not called on the Main
or UI
thread but on a dedicated background thread. If you wish to make any changes to any UI element, you will need to post a runnable. We provide you a utility method for this using ThreadUtils.runOnMain(Runnable)
.
This design choice was made intentionally to allow you to be able to do any processing (like loops) you wish off the main thread before updating the UI. This allows the UI to remain responsive all the time.
We have base implementations like StateListenerActivity
, StateListenerFragment
and StateListenerView
that take care of handling the lifecycle and registering and unregistering of the listener.
###Middlewares
Middlewares
provides a third-party extension point between dispatching an action, and the moment it reaches the reducer.
The middlewares represents a good place for logging, crash reporting, talking to an asynchronous API, interact with databases, and more.
To register a Middleware
, you need to call Dispatcher.registerMiddleware(Middleware)
and Dispatcher.unregisterMiddleware(Middleware)
if you wish to remove it.
Middleware
s implement the Middleware interface.
We provide one abstract implementations: BaseMiddleware
coupled to the default Dispatcher
implementation.
BaseMiddleware
requires you to implement intercept(State, Action)
in which you can check if you want to handle that action Type
.
public class LoggerMiddleware extends BaseMiddleware {
@Override
public void intercept(State state, Action action) throws Exception {
Log.d("[LoggerMiddleware]", action.Type);
}
}
We saved the best for last.
The dispatcher is the engine of Fluxxan. It manages the state, reducers and listeners, handles the dispatching of actions and the subsequent notifying of listeners.
After we create our dispatcher, we need to keep a reference to it so we can register Reducer
s and StateListener
s as well as dispatch Action
s.
We need to call start
and stop
on the dispatcher to start or stop it.
Ideally, this would be done in a custom android Application so we can get a reference to it anywhere in our code.
The dispatcher checks if states have changed before notifying listeners, but since it assumes state is immutable, you will need to override it's hasStateChanged(State newState, State oldState)
method to provide your own functionality.
By default, it uses, return newState != oldState
.
The dispatcher allows us to provide the ability for a
Reducer
to wait for other reducers. This is an important feature in Flux not required in Redux.
We provide you a coordinator to help manage the dispatcher. It's called Fluxxan
.
Fluxxan is used in default implementations so instead of dealing with the Dispatcher
directly (you can if you choose to) we use Fluxxan
.
Fluxxan
provides proxy methods that call Dispatcher
. By default, it uses the DispatcherImpl
implementation.
In our app, let's see what this looks like.
AppState state = ImmutableAppState.builder().build();
Fluxxan = new Fluxxan<AppState>(state);
Fluxxan.registerReducer(new TodoReducer());
Fluxxan.start();
For proguard, you will need to add this.
-keepclasseswithmembers class * {
@com.umaplay.fluxxan.annotation.BindAction <methods>;
}
Thank you for taking the time to contribute. But before you do, please read our contribution guidelines. They are simple, we promise.
- Writing Tests
MIT