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One approach we could take is to leverage Interface-Oriented Design. To do this, we coud could introduce the following interface:
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Then our Client, Online and Offline classes could be modified to implement that interface, e.g.:
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class Client implements State { |
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class Online implements State { |
You might ask: Haven't we just introduced additional boilerplate code? Can't we rely on duck-typing for this? The answer is 'yes' and 'no'. We can get away with duck-typing but one of the key intentions of the state pattern is to partition complexity. If we know that the client class and each state class all satisfy one interface, then we have placed some key boundaries around the complexity. We can look at any state class in isolation and know the bounds of behaviour possible for that state.
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abstract class InstanceProvider {
static def registry = GroovySystem.metaClassRegistry
static def create(objectClass, param) {
registry.getMetaClass(objectClass).invokeConstructor([param] as Object[])
}
}
abstract class Context {
private context
protected setContext(context) {
this.context = context
}
def invokeMethod(String name, Object arg) {
context.invokeMethod(name, arg)
}
def startFrom(initialState) {
setContext(InstanceProvider.create(initialState, this))
}
}
abstract class State {
private client
State(client) { this.client = client }
def transitionTo(nextState) {
client.setContext(InstanceProvider.create(nextState, client))
}
}
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class Grammar {
def fsm
def event
def fromState
def toState
Grammar(a_fsm) {
fsm = a_fsm
}
def on(a_event) {
event = a_event
this
}
def on(a_event, a_transitioner) {
on(a_event)
a_transitioner.delegate = this
a_transitioner.call()
this
}
def from(a_fromState) {
fromState = a_fromState
this
}
def to(a_toState) {
assert a_toState, "Invalid toState: $a_toState"
toState = a_toState
fsm.registerTransition(this)
this
}
def isValid() {
event && fromState && toState
}
public String toString() {
"$event: $fromState=>$toState"
}
}
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class FiniteStateMachine {
def transitions = [:]
def initialState
def currentState
FiniteStateMachine(a_initialState) {
assert a_initialState, "You need to provide an initial state"
initialState = a_initialState
currentState = a_initialState
}
def record() {
Grammar.newInstance(this)
}
def reset() {
currentState = initialState
}
def isState(a_state) {
currentState == a_state
}
def registerTransition(a_grammar) {
assert a_grammar.isValid(), "Invalid transition ($a_grammar)"
def transition
def event = a_grammar.event
def fromState = a_grammar.fromState
def toState = a_grammar.toState
if (!transitions[event]) {
transitions[event] = [:]
}
transition = transitions[event]
assert !transition[fromState], "Duplicate fromState $fromState for transition $a_grammar"
transition[fromState] = toState
}
def fire(a_event) {
assert currentState, "Invalid current state '$currentState': passed into constructor"
assert transitions.containsKey(a_event), "Invalid event '$a_event', should be one of ${transitions.keySet()}"
def transition = transitions[a_event]
def nextState = transition[currentState]
assert nextState, "There is no transition from '$currentState' to any other state"
currentState = nextState
currentState
}
}
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class StatePatternDslTest extends GroovyTestCase {
private fsm
protected void setUp() {
fsm = FiniteStateMachine.newInstance('offline')
def recorder = fsm.record()
recorder.on('connect').from('offline').to('online')
recorder.on('disconnect').from('online').to('offline')
recorder.on('send_message').from('online').to('online')
recorder.on('receive_message').from('online').to('online')
}
void testInitialState() {
assert fsm.isState('offline')
}
void testOfflineState() {
shouldFail{
fsm.fire('send_message')
}
shouldFail{
fsm.fire('receive_message')
}
shouldFail{
fsm.fire('disconnect')
}
assert 'online' == fsm.fire('connect')
}
void testOnlineState() {
fsm.fire('connect')
fsm.fire('send_message')
fsm.fire('receive_message')
shouldFail{
fsm.fire('connect')
}
assert 'offline' == fsm.fire('disconnect')
}
}
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This example isn't an exact equivalent of the others. It doesn't use predefined Online and Offline classes. Instead it defines the entire state machine on the fly as needed. See the previous reference for more elaborate examples of this style.