tree_state_machine #

tree_state_machine is a Dart package for defining and executing hierarchical state machines.

Features #

• Hierarchical state trees
• Asynchronous message processing
• Stream based event notifications
• Declarative state definitions with automated generation of state diagrams in DOT format
• Nested state machines

Overview #

The tree_state_machine package provides APIs for defining a hierarchical tree of states, and creating state machines that can manage an instance of a state tree. The state machine can be used to dispatch messages to the current state for processing, and receive notifications as state transitions occur.

Refer to UML state machines for further conceptual background on hierarchical state machines.

Getting Started #

The primary API for the working with a tree state machine is provided by the tree_state_machine library. A relatively simple API for defining state trees is provided by the delegate_builders library, though extension points are provided in the build library for creating more sophisticated ones.

A typical usage looks like the following:

import 'package:tree_state_machine/delegate_builders.dart';
import 'package:tree_state_machine/tree_state_machine.dart';


// Define state keys that identify the states in the state tree
sealed class States {
   static const state1 = StateKey('state1');
   static const state1 = StateKey('state2');
}

// Define the state tree
var stateTree = StateTree(
   InitialChild(States.state1), 
   childStates: [
      State(
         States.state1, 
         onMessage: (MessageContext ctx) => ctx.message == 'go'
            ? ctx.goTo(States.state2) 
            : ctx.unhandled(),
      ),
      State(States.state2),
   ],
);

// Create and start a state machine for the state tree
var machine = TreeStateMachine(stateTree);
var currentState = await machine.start();

// Send a message to be processed by the current state, which may potentially
// cause a transition to a different state
await currentState.post('go');

The following sections describe these steps in more detail.

State Trees #

Naming States #

Each state in a state tree is uniquely identified by a StateKey. These keys are used when defining states, and naming the destination state when a state transition occurs. For convenience, they are often grouped together into a containing class. For example:

sealed class States {
  static const unauthenticated = StateKey('unauthenticated');
  static const authenticated = StateKey('authenticated');
  // Use DataStateKey to identify a data state with an associated state data type
  static const login = DataStateKey<LoginData>('login');
  // ... 
}

The StateTree class represents a template for a state tree, defining the states in the tree and their hierarchical relationship. There are several factories available to create a StateTree, but the simplest lists the available child states (which themselves may have children), and names the state that will initially be active when the state machine starts.

StateTree(
   InitialChild(States.unauthenticated), 
   childStates: [
      // States go here
   ],
);

Defining States #

States are declared using the State or DataState classes. These are created with a StateKey that identifies the state, and callbacks that will be used to define how the state behaves. For example, an onMessage callback can be provided to specify the message handling behavior of the state.

State(
   States.unauthenticated, 
   onMessage: (MessageContext ctx) {
      // Add message handling logic here
      return ctx.unhandled();
   },
);

See Message Handlers for more details on writing message handlers.

Child States

A state can be created with a collection of child states using the State.composite factory, so that the state becomes the parent of the the child states. If a child state is active, but does not handle a message, the parent state will have an opportunity to handle it.

If a state has children, it must specify which of its child states to be enter when the parent is entered using InitialChild.

State.composite(
   States.unauthenticated,
   InitialChild(States.splash),
   children: [
      State(States.splash),
   ] 
);

Data States

States often require additional data to model their behavior. For example, a 'counting' state might need an integer value to store the number of times an event occured. The data value(s) needed by a state are collectively referred to as state data (or more formally, extended state variables).

A data state can be defined using the DataState class, providing the type of state data as a type parameter. An InitialData must be provided, indicating how to create the initial value of the state data when the state is entered. Also note that a DataStateKey, not a StateKey, must be used to identify a data state.

class LoginData {
   String username = '';
   String password = '';
   String errorMessage = '';
}
sealed class States {
  // Data states are identified by DataStateKeys 
  static const login = DataStateKey<LoginData>('login');
}

DataState(
   States.login,
   InitialData(() => LoginData()),
   onMessage: (MessageContext ctx) {
      // Usde the MessageContext.data method to retrieve the current state 
      // data for a data state.   
      var loginData = ctx.data(States.login).value;
      return ctx.unhandled();
   }
)

See Reading and writing state data to learn how to read and write state data when handling a message with a data state.

Final States

States may be delared as final states. Once a final state has been entered, no further message processing or state transitions will occur, and the state tree is considered ended, or complete. Note that a final state is always considered a child of the root state, and may not have any child states.

StateTree(
   finalStates: [
      FinalState(
         States.lockedOut,
         // An optional onEnter callback may be provided. onMessage and onExit are not
         // available for final states.
         onEnter: (TransitionContext ctx) {
            // Add onEnter logic here
         }
      ),
   ],
);

Machine States

Existing state trees or state machines can be composed with a state tree using a machine state. A machine state is a leaf state, and when it is entered an inner state machine will be started. The machine state will forward any messages from the outer state machine to the inner, and will remain the current state of the outer state machine until the inner reaches a final state. When it does so, the machine state will invoke a callback to determine the next state for the outer state machine to transition to.

StateTree innerStateTree() {
   return StateTree(
      // ...define a state tree
   );
}

final aMachineState = StateKey('machineState');
final otherState = StateKey('otherState');

MachineState(
   aMachineState, 
   // A nested state machine will be created from the state tree
   InitialMachine.fromStateTree((TransactionContext ctx) => innerStateTree()),
   onMachineDone: (MessageContext ctx, CurrentState currentInnerState) =>
      // The inner state machine has completed, so determine the next state of the outer 
      // state machine. 
      ctx.goTo(otherState),
);

Message Handlers #

The way a state responds to a message is defined by the MessageHandler function for the state. A message handler is provided a MessageContext describing the message, and must return a MessageResult describing how the state responds to the message.

typedef MessageHandler = FutureOr<MessageResult> Function(MessageContext ctx);

Methods on the provided MessageContext can be used to create the desired message result. For example, goTo(), unhandled(), or stay()

Because a message handler returns a FutureOr, the handler implementation may be asynchronous if desired.

A message handler is provided with the onMessage callback when creating the state:

class GoToLogin { }
enum Messages { goToRegister }

State(
   States.unauthenticated,
   onMessage: (MessageContext ctx) {
      return switch(ctx.message) {
         // When this state receives a message of type GoToLogin, go to the login 
         // state
         GoToLogin() => ctx.goTo(States.login),
         // When this state receives a goToRegister message value, go to the 
         // registration state
         Messages.goToRegister => mhb.goTo(States.registration),
         // Otherwise, the message is unhandled. An ancestor state can handle it instead.
         _ => ctx.unhandled()
      }; 
   },
);

Reading and writing state data

A data state can access its associated state data. Additionally, any state can access the state data of an ancestor data state.

State data is stored in a DataValue<D> instance. A DataValue provides access to the current state data value with the value property. The DataValue for a data state can be requested using the MessageContext.data and TransitionContext.data methods.

A DataValue is also a Stream, and therefore can be used to observe changes to the state data over time. This is not typically used in a message handler, but DataValues are also accessible from a TreeStateMachine, and the change notifications can prove useful at the application level.

The DataValue.update method can be use to update the current value, which will cause the associated Stream to emit a new value.

State(
   States.credentialsRegistration, 
   onMessage: (ctx) {
      if (ctx.message case SubmitCredentials(email: var email, password: var password)) {
         // Update the RegisterData state data owned by an ancestor Register state. 
         ctx.data(States.register).update((RegisterData data) => data
            ..email = email
            ..password = password);
         return ctx.goTo(States.demographicsRegistration);
      } 
      return ctx.unhandled();
   },
);

Transition Handlers #

A state can receive notifications when it is entered or exited. These notifications are calls to TransitionHandler functions, and the handlers are passed a TransitionContext describing the transition that is occurring.

typedef TransitionHandler = FutureOr<void> Function(TransitionContext ctx);

The TransitionContext provides information about the transition, including the full state path of the transition (exiting states followed by entering states).

Because a transition handler returns a FutureOr, the handler implementation may be asynchronous if desired.

State(
   States.authenticating, 
   onEnter: (TransitionContext ctx) {    
      // When this state is entered, perform a login operation, and post 
      // the result of the login as a message for future processing.
      ctx.post(_doLogin(transCtx.payload as SubmitCredentials));
   },
);

State Machines #

Creating a state machine #

Once a state tree has been defined, a state machine can be created.

var stateTree = defineStateTree();
var stateMachine = TreeStateMachine(stateTree);

Starting a state machine #

Before messages can be sent to the state machine for processing, it has be started. The start method returns a future that yields a CurrentState that serves as a proxy to the current state after the machine has fully started.

var currentState = await stateMachine.start();

Sending messages #

Once a state machine has started, a message may be dispatched to the current leaf state using the post method of CurrentState. This returns a future that completes when the message has been processed and any resulting transition has completed.

var message = SubmitCredentials(username: 'foo', password: 'bar');
var messageResult = await currentState.post(message);

State machine streams #

In addition to inspecting the results of post to learn about how a message was processed, it is also possible to subscribe to several stream properties of TreeStateMachine:

• processedMessages yields an event for every message that is processed by the tree, whether or not the message was handled successfully, and whether or not a transition occurred as a result of the message.
• handledMessages is a convenience stream that yield an event when only when a message is successfully handled. Note that the HandledMessage event is also emitted on the processedMessages stream.
• transitions yields an event each time a transition between states occurs.

Ending a state machine #

A state machine can end in two ways.

• When processing a message, if the state machine transitions to a final state, then no other message processing or state transitions will occur, and the state machine has ended. This is called an 'internal stop'.
• Calling stop on the state machine will transition the machine to an implicit final state, identified by stoppedStateKey. This state will always be available, and does not need to be added when defining a state tree. This is called an 'external stop'.

  await stateMachine.stop();
  // done will be true after stopping.
  var done = stateMachine.isDone;
  

State machine logging #

The tree_state_machine packages logs diagnostic messages using the Dart SDK logging package. An application can enable logging output to view the messages. If hierarchical logging is enabled, all logging is peformed under a parent logger named tree_state_machine.

hierarchicalLoggingEnabled = true;
Logger('tree_state_machine').level = Level.ALL;
Logger.root.onRecord.listen((record) {
   print('${record.level.name}: ${record.time}: ${record.message}');
});