Robust statechart for configurable automation rules.
Project description
Superstate
Robust statechart for configurable automation rules.
How to use
A very simple example taken from specs.
>>> from superstate import StateChart
>>> class SimpleMachine(StateChart):
... state = {
... 'initial': 'created',
... 'states': [
... {
... 'name': 'created',
... 'transitions': [
... {'event': 'queue', 'target': 'waiting'},
... {'event': 'cancel', 'target': 'canceled'},
... ],
... },
... {
... 'name': 'waiting',
... 'transitions': [
... {'event': 'process', 'target': 'processed'},
... {'event': 'cancel', 'target': 'canceled'},
... ]
... },
... {'name': 'processed'},
... {'name': 'canceled'},
... ]
... }
>>> machine = SimpleMachine()
>>> machine.current_state
'AtomicState(created)'
>>> machine.trigger('queue')
>>> machine.current_state
'AtomicState(waiting)'
>>> machine.trigger('process')
>>> machine.current_state
'AtomicState(processed)'
>>> cancel_machine = SimpleMachine()
>>> cancel_machine.current_state
'AtomicState(created)'
>>> cancel_machine.trigger('cancel')
>>> cancel_machine.current_state
'AtomicState(canceled)'
States
A Superstate state machine must have one initial state and at least one other additional state.
A state may have pre and post callbacks, for running some code on state on_entry
and on_exit
, respectively. These params can be method names (as strings),
callables, or lists of method names or callables.
Transitions
Transitions lead the machine from a state to another. Transitions must have
both event
, and target
parameters. The event
is the method that have to be
called to launch the transition. The target
is the state to which the
transition will move the machine. This method is automatically created
by the Superstate engine.
A transition can have optional action
and cond
parameters. action
is a
method (or callable) that will be called when transition is launched. If
parameters are passed to the event method, they are passed to the action
method, if it accepts these parameters. cond
is a method (or callable) that
is called to allow or deny the transition, depending on the result of its
execution. Both action
and cond
can be lists.
The same event can be in multiple transitions, going to different states, having
their respective needs as selectors. For the transitions having the same event,
only one cond
should return a true value at a time.
Install
pip install superstate
Test
tox
Attribution
Superstate is forked from https://github.com/nsi-iff/fluidity created by Rodrigo Manhães.
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