Package com.neurosys.events

Interface Summary

Interface	Description
Behavior<I>
Behaviors	Represents any Event, Action, Change etc.
ChangeGenerator<T>	For every ChangeListener there has to be an event generate.
ChangeListener<T>	A listener that listens for changes in a component.
ChangeListenerTransfomer<T>	A ChangeListener that does not need to refer to the ChangeGenerator and hence the model object can also be passed as Transformer.transform(Object)
FlowStatusChange	A change Event that has a FlowStatus
SynchronousChange<F>	A change event that ensures it is accompanied with a #feedback that returns synchronously. For example useful for Admin style extensions services; that may perform some task and communicate that back.

Class Summary

Class	Description
AbstractChainChangeListener<T>	Execute a Chain of ChangeListeners
AsynchronousChangeListener<T>	A wrapper ChangeListener and Transformer that in turn executes other ChangeListeners, listening to it.
ChangeListenerWrapperTransformer<T>	A ChangeListener that can wrap any Transformer
Feedback<E,S extends FlowStatus>	A Feedback object for event with callback. Useful in synchronous situations where we may want more structure to feedback or callbacks. A feedback is something that can be sent to a callback for a change event.
FlowStatusChangeListenerWrapperTransformer<T>	A convenience extension of ChangeListenerWrapperTransformer that accepts only SynchronousOperationChange type events and if the ChangeListenerWrapperTransformer.getTransformer() transformation is successful then adds a Status INFO level or ERROR level to the feedback.
FlowStatusPredicate	A Predicate that if the input matches the #operation as is or if the input object is of type FlowStatusChange then the predicate will FlowStatusPredicate.evaluate(Object) to true; meaning allow / pass the Filter.
SynchronousChangeListener<T>	A wrapper ChangeListener and Transformer that in turn executes other ChangeListeners, listening to it.
SynchronousFlowStatusChange<E,F>	A SynchronousChange event implementation that wraps a change event and is capable of also communicating the FlowStatus For example Admin UI's where an event Listener processes an event and sends feedback.