ENG | RUS
VisualFSM
is a Kotlin Multiplatform library for implements an FSM-based (Finite-state machine
)[2] MVI pattern
(Model-View-Intent
)[1] and a set of tools for visualization and analysis of FSM's diagram of states.
The graph is being built from source code of FSM's implementation. There is no need of custom written configurations for FSM, you can just create new State and Action classes, they would be automatically added to the graph of States and Transitions.
Source code analysis and the graph built are being performed with reflection and declared as a separate module that would allow it to be connected to testing environment.
Base classes for Android, JVM and KMM projects (Feature and AsyncWorker coroutines edition)
implementation("ru.kontur.mobile.visualfsm:visualfsm-core:$visualfsmVersion")
Support of RxJava 3 (FeatureRx, AsyncWorkerRx and dependent classes)
implementation("ru.kontur.mobile.visualfsm:visualfsm-rxjava3:$visualfsmVersion")
Code generation
ksp("ru.kontur.mobile.visualfsm:visualfsm-compiler:$visualfsmVersion")
Classes for easy getting generated code
implementation("ru.kontur.mobile.visualfsm:visualfsm-providers:$visualfsmVersion")
Graph creation and analysis
testImplementation("ru.kontur.mobile.visualfsm:visualfsm-tools:$visualfsmVersion")
See in Quickstart
See in External state source (optional)
Visualization lets you spend less time on understanding complex business process and makes it easier for debugging, adding new features, and refactoring old ones.
A simplified FSM graph sample of user authorization and registration.
To increase the readability of the graph, you can control the rendering rules using the 'DotAttributes' object when generating the graph. You can use 'DotAttributesDefaultPreset' class or create own preset for your project.
Validation on reachability for all states, on set of terminal states and lack of unexpected dead-end states, custom graph checks in unit tests.
Every async work can be represented by separate states, because of this we can have a common set of states that are lining up to a directed graph.
An AsyncWorker allows you to simplify the processing of states with asynchronous work.
The main entities are State
, Action
, Transition
, Feature
, AsyncWorker
, TransitionCallbacks
.
State
is an interface to mark State classes.
Action
is a base class for action, used as an input object for FSM and describes the transition
rules to other states by Transition
classes. A state is being selected depending of the current
FSM's State
and provided predicate (the predicate
function). There are two scenarios that would
say the transition rules were set wrong:
- If there are several
Transition
s that would fit the specified conditions: aState
the FSM was in is inside aTransition
and apredicate
returnstrue
— there would be an error passed to aTransitionCallbacks
,onMultipleTransitionError
would be called, and the first suitableTransition
would be executed. - In case no
Transtion
will do, an error would be passed to aTransitionCallbacks
,onNoTransitionError
would be called, and aState
won't be changed.
Transition
is a base transition class and is declared as an inner class in an Action
. There must
be two generic State
s for every Transition
: a State
, the one the transition is going from, and
a State
that is going to be current for FSM after a transofrm
execution.
For the inherited classes of Transition
you need to override a transform
method and
a predicate
method, but predicate
must be overridden only if you have more than one Transition
with similar start State
s.
predicate
describes the conditions of aTransition
's choice depending on input data that was passed to anAction
's constructor. It is a one of conditions for the choice ofTransition
. The first condition is that the currentState
has to be the same as theTransition
's startState
which was specified in generic. You might not to overridepredicate
if you don't have more than oneTransition
with matching startState
s.transform
creates a newState
for aTransition
.
Transition
is a basic type of Transition
. It can accept the following generic parameters: State
or a set of State
as a sealed class
Transitions forming for `Transition`
Let's take a look at the examplesealed class FSMState : State {
data object Initial : FSMState()
sealed class AsyncWorkerState : FSMState() {
data object LoadingRemote : AsyncWorkerState()
data object LoadingCache : AsyncWorkerState()
}
data object Loaded : FSMState()
}
If data object Initial
and data object Loaded
are passed to the generic parameter
inner class Transition : Transition<Initial, Loaded>() {
override fun transform(state: Initial): Loaded {
// ...
}
}
A possibility of the following transitions appears in the FSM:
Initial
->Loaded
Ifdata object Initial
and sealed class AsyncWorkerState
are passed to the generic parameter
inner class Transition : Transition<Initial, AsyncWorkerState>() {
override fun transform(state: Initial): AsyncWorkerState {
// ...
}
}
A possibility of the following transitions appears in the FSM:
Initial
->AsyncWorkerState.LoadingRemote
Initial
->AsyncWorkerState.LoadingCache
If sealed class AsyncWorkerState
and sealed class AsyncWorkerState
are passed to the generic parameter
inner class Transition : Transition<AsyncWorkerState, AsyncWorkerState>() {
override fun transform(state: AsyncWorkerState): AsyncWorkerState {
// ...
}
}
A possibility of the following transitions appears in the FSM:
AsyncWorkerState.LoadingRemote
->AsyncWorkerState.LoadingRemote
AsyncWorkerState.LoadingRemote
->AsyncWorkerState.LoadingCache
AsyncWorkerState.LoadingCache
->AsyncWorkerState.LoadingCache
AsyncWorkerState.LoadingCache
->AsyncWorkerState.LoadingRemote
If sealed class AsyncWorkerState
and data object Loaded
are passed to the generic parameter
inner class Transition : Transition<AsyncWorkerState, Loaded>() {
override fun transform(state: AsyncWorkerState): Loaded {
// ...
}
}
A possibility of the following transitions appears in the FSM:
AsyncWorkerState.LoadingRemote
->Loaded
AsyncWorkerState.LoadingCache
->Loaded
SelfTransition
is a type of Transition
that implements a transition from State
to State
with the same type. It can accept the following generic parameters: State
or a set of State
as a sealed class
Transitions forming for `SelfTransition`
Let's take a look at the examplesealed class FSMState : State {
data object Initial : FSMState()
sealed class AsyncWorkerState : FSMState() {
data object LoadingRemote : AsyncWorkerState()
data object LoadingCache : AsyncWorkerState()
}
data object Loaded : FSMState()
}
If data object Initial
is passed to the generic parameter
inner class Transition : SelfTransition<Initial>() {
override fun transform(state: Initial): Initial {
// ...
}
}
A possibility of the following transitions appears in the FSM:
Initial
->Initial
If sealed class AsyncWorkerState
is passed to the generic parameter
inner class Transition : SelfTransition<AsyncWorkerState>() {
override fun transform(state: AsyncWorkerState): AsyncWorkerState {
// ...
}
}
A possibility of the following transitions appears in the FSM:
AsyncWorkerState.LoadingRemote
->AsyncWorkerState.LoadingRemote
AsyncWorkerState.LoadingCache
->AsyncWorkerState.LoadingCache
AsyncWorker
controls the start and stop of async tasks. AsyncWorker
starts async requests or
stops them it it gets specified State
via a subscription. As long as the request completes with
either success or error, the Action
will be called and the FSM will be set with a new State
. For
convenience those states that are responsible for async tasks launch, it is recommended to join them
in AsyncWorkState
.
To subscribe to State
, you need to override the onNextState
method, and for each state to construct
AsyncWorkerTask for processing in the AsyncWorker.
For each operation result (success and error) you must call the proceed method and pass Action
to handle the result.
Don't forget to handle each task's errors in onNextState
method, if an unhandled exception occurs,
then fsm may stuck in the current state and the onStateSubscriptionError method will be called.
There might be a case when we can get a State
via a subscription that is fully equivalent to
current running async request, so for this case there are two type of AsyncWorkTask:
- AsyncWorkerTask.ExecuteIfNotExist - launch only if operation with equals state is not currently running (priority is given to a running operation with equals state object)
- AsyncWorkerTask.ExecuteIfNotExistWithSameClass - launch only if operation with same state class is not currently running (priority is given to a running operation with same state class, used for tasks that deliver the result in several stages)
- AsyncWorkerTask.ExecuteAndCancelExist - relaunch async work (priority is for the new on).
To handle a state change to state without async work, you must use a task:
- AsyncWorkerTask.Cancel - stop asynchronous work, if running
Feature
is the facade for FSM, provides subscription on current State
, and
proceeds incoming Action
s.
TransitionCallbacks
gives access to method callbacks for third party logic. They are great for
logging, debugging, metrics, etc. on five available events: when Action
is launched,
when Transition
is selected, a new State
had been reduced, and two error events —
no Transition
s or multiple Transition
s available.
-
VisualFSM.generateDigraph(...): String
- generate a FSM DOT graph for visualization in Graphviz (graphviz cli on CI or http://www.webgraphviz.com/ in browser).Transition
class name used as the edge name, you can use the@Edge("name")
annotation on theTransition
class to set a custom edge name. For customization entire graph, colors and shapes of nodes or edges you can use theattributes
argument to graph rendering customization. -
VisualFSM.getUnreachableStates(...): List<KClass<out STATE>>
- get all unreachable states from initial state -
VisualFSM.getFinalStates(...): List<KClass<out STATE>>
- get all final states -
VisualFSM.getEdgeListGraph(...): List<Triple<KClass<out STATE>, KClass<out STATE>, String>>
- builds an Edge List -
VisualFSM.getAdjacencyMap(...): Map<KClass<out STATE>, List<KClass<out STATE>>>
- builds an Adjacency Map of states
To analyze FSM using third-party tools, it is possible to generate a csv file with all transitions.
To generate a file, you need to pass the generateAllTransitionsCsvFiles
parameter with the value true
to the ksp parameters.
ksp {
arg("generateAllTransitionsCsvFiles", "true")
}
In the package that contains the Feature
, a file called [Base State Name]AllTransitions.csv
will be generated with lines in the manner:
[Name of the transition],[Name of the State from which the transition executes],[Name of the State to which the transition executes]
A tests sample for FSM of user authorization and registration: AuthFSMTests.kt
The DOT visualization graph for graphviz is being generated using the VisualFSM.generateDigraph(...)
method.
For CI visualization use graphviz, for the local visualization (on your PC) use edotor, webgraphviz, or other DOT graph visualization tool.
// Use Feature with Kotlin Coroutines or FeatureRx with RxJava
@GenerateTransitionsFactory // Use this annotation for generation TransitionsFactory
class AuthFeature(initialState: AuthFSMState) : Feature<AuthFSMState, AuthFSMAction>(
initialState = initialState,
asyncWorker = AuthFSMAsyncWorker(AuthInteractor()),
transitionCallbacks = TransitionCallbacksImpl(), // Tip - use DI
transitionsFactory = provideTransitionsFactory(), // Get an instance of the generated TransitionsFactory
// Getting an instance of a generated TransitionsFactory for KMM projects:
// Name generated by mask Generated[FeatureName]TransitionsFactory()
// transitionsFactory = GeneratedAuthFeatureTransitionsFactory(), // Until the first start of code generation, the class will not be visible in the IDE.
)
val authFeature = AuthFeature(
initialState = AuthFSMState.Login("", "")
)
// Observe states on Feature
authFeature.observeState().collect { state -> }
// Observe states on FeatureRx
authFeature.observeState().subscribe { state -> }
// Proceed Action
authFeature.proceed(Authenticate("", ""))
All State
s are listed in a sealed class. For the convenience State
s that call async work is
recommended to group inside inner AsyncWorkState
sealed class.
sealed class AuthFSMState : State {
data class Login(
val mail: String,
val password: String,
val errorMessage: String? = null
) : AuthFSMState()
data class Registration(
val mail: String,
val password: String,
val repeatedPassword: String,
val errorMessage: String? = null
) : AuthFSMState()
data class ConfirmationRequested(
val mail: String,
val password: String
) : AuthFSMState()
sealed class AsyncWorkState : AuthFSMState() {
data class Authenticating(
val mail: String,
val password: String
) : AsyncWorkState()
data class Registering(
val mail: String,
val password: String
) : AsyncWorkState()
}
data class UserAuthorized(val mail: String) : AuthFSMState()
}
AsyncWorker subscribes on state changes, starts async tasks for those in AsyncWorkState
group, and
calls Action
to process the result after the async work is done.
class AuthFSMAsyncWorker(private val authInteractor: AuthInteractor) : AsyncWorker<AuthFSMState, AuthFSMAction>() {
override fun onNextState(state: AuthFSMState): AsyncWorkerTask<AuthFSMState> {
return when (state) {
is AsyncWorkState.Authenticating -> {
AsyncWorkerTask.ExecuteAndCancelExist(state) {
val result = authInteractor.check(state.mail, state.password)
proceed(HandleAuthResult(result))
}
}
is AsyncWorkState.Registering -> {
AsyncWorkerTask.ExecuteIfNotExist(state) {
val result = authInteractor.register(state.mail, state.password)
proceed(HandleRegistrationResult(result))
}
}
else -> AsyncWorkerTask.Cancel()
}
}
}
HandleRegistrationResult
is one of Action
s of the sample authorization and registration FSM that
is called from AsyncWorker
after the result of registration is received. It consists of
two Transition
s, the necessary Transition
is chosen after predicate
function result.
class HandleRegistrationResult(val result: RegistrationResult) : AuthFSMAction() {
inner class Success : Transition<AsyncWorkState.Registering, Login>() {
override fun predicate(state: AsyncWorkState.Registering) =
result == RegistrationResult.SUCCESS
override fun transform(state: AsyncWorkState.Registering): Login {
return Login(state.mail, state.password)
}
}
inner class BadCredential : Transition<AsyncWorkState.Registering, Registration>() {
override fun predicate(state: AsyncWorkState.Registering) =
result == RegistrationResult.BAD_CREDENTIAL
override fun transform(state: AsyncWorkState.Registering): Registration {
return Registration(state.mail, state.password, "Bad credential")
}
}
inner class ConnectionFailed : Transition<AsyncWorkState.Registering, Registration>() {
override fun predicate(state: AsyncWorkState.Registering) =
result == RegistrationResult.NO_INTERNET
override fun transform(state: AsyncWorkState.Registering): Registration {
return Registration(state.mail, state.password, state.password, "No internet")
}
}
}
class AuthFSMTests {
@Test
fun generateDigraph() {
println(
VisualFSM.generateDigraph(
baseAction = AuthFSMAction::class,
baseState = AuthFSMState::class,
initialState = AuthFSMState.Login::class,
)
)
Assertions.assertTrue(true)
}
@Test
fun allStatesReachableTest() {
val notReachableStates = VisualFSM.getUnreachableStates(
baseAction = AuthFSMAction::class,
baseState = AuthFSMState::class,
initialState = AuthFSMState.Login::class,
)
Assertions.assertTrue(
notReachableStates.isEmpty(),
"FSM have unreachable states: ${notReachableStates.joinToString(", ")}"
)
}
@Test
fun oneFinalStateTest() {
val finalStates = VisualFSM.getFinalStates(
baseAction = AuthFSMAction::class,
baseState = AuthFSMState::class,
)
Assertions.assertTrue(
finalStates.size == 1 && finalStates.contains(AuthFSMState.UserAuthorized::class),
"FSM have not correct final states: ${finalStates.joinToString(", ")}"
)
}
}
Success,AsyncWorkState.Registering,Login
BadCredential,AsyncWorkState.Registering,Registration
ConnectionFailed,AsyncWorkState.Registering,Registration
MVI
stands for Model-View-Intent. It is an architectural pattern that utilizes unidirectional
data flow. The data circulates between Model
and View
only in one direction - from Model
to View
and from View
to Model
.
A finite-state machine
(FSM) is an abstract machine that can be in exactly one of a finite number
of states at any given time. The FSM
can change from one state to another in response to some
inputs.