Metadata-Version: 1.1
Name: python-statemachine
Version: 0.3.1
Summary: Python Finite State Machines made easy.
Home-page: https://github.com/fgmacedo/python-statemachine
Author: Fernando Macedo
Author-email: fgmacedo@gmail.com
License: MIT license
Description: ===============================
        Python State Machine
        ===============================
        
        
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        Python `finite-state machines <https://en.wikipedia.org/wiki/Finite-state_machine>`_ made easy.
        
        
        * Free software: MIT license
        * Documentation: https://python-statemachine.readthedocs.io.
        
        
        Getting started
        ===============
        
        To install Python State Machine, run this command in your terminal:
        
        .. code-block:: console
        
            $ pip install python-statemachine
        
        
        Define your state machine::
        
            from statemachine import StateMachine, State
        
            class TrafficLightMachine(StateMachine):
                green = State('Green', initial=True)
                yellow = State('Yellow')
                red = State('Red')
        
                slowdown = green.to(yellow)
                stop = yellow.to(green)
                go = red.to(green)
        
        
        You can now create an instance:
        
        >>> traffic_light = TrafficLightMachine()
        
        And inspect about the current state:
        
        >>> traffic_light.current_state
        State('Green', identifier='green', value='green', initial=True)
        >>> traffic_light.current_state == TrafficLightMachine.green == traffic_light.green
        True
        
        For each state, there's a dinamically created property in the form ``is_<state.identifier>``, that
        returns ``True`` if the current status matches the query:
        
        >>> traffic_light.is_green
        True
        >>> traffic_light.is_yellow
        False
        >>> traffic_light.is_red
        False
        
        Query about metadata:
        
        >>> [s.identifier for s in m.states]
        ['green', 'red', 'yellow']
        >>> [t.identifier for t in m.transitions]
        ['go', 'slowdown', 'stop']
        
        Call a transition:
        
        >>> traffic_light.slowdown()
        
        And check for the current status:
        
        >>> traffic_light.current_state
        State('Yellow', identifier='yellow', value='yellow', initial=False)
        >>> traffic_light.is_yellow
        True
        
        You can't run a transition from an invalid state:
        
        >>> traffic_light.is_yellow
        True
        >>> traffic_light.slowdown()
        Traceback (most recent call last):
        ...
        LookupError: Can't slowdown when in Yellow.
        
        You can also trigger events in an alternative way, calling the ``run(<transition.identificer>)`` method:
        
        >>> traffic_light.is_yellow
        True
        >>> traffic_light.run('stop')
        >>> traffic_light.is_red
        True
        
        A state machine can be instantiated with an initial value:
        
        >>> machine = TrafficLightMachine(start_value='red')
        >>> traffic_light.is_red
        True
        
        
        Models
        ------
        
        If you need to persist the current state on another object, or you're using the
        state machine to control the flow of another object, you can pass this object
        to the ``StateMachine`` constructor:
        
        >>> class MyModel(object):
        ...     def __init__(self, state):
        ...         self.state = state
        ...
        >>> obj = MyModel(state='red')
        >>> traffic_light = TrafficLightMachine(obj)
        >>> traffic_light.is_red
        True
        >>> obj.state
        'red'
        >>> obj.state = 'green'
        >>> traffic_light.is_green
        True
        >>> traffic_light.slowdown()
        >>> obj.state
        'yellow'
        >>> traffic_light.is_yellow
        True
        
        
        Events
        ------
        
        Docs needed.
        
        
        Mixins
        ------
        
        Docs needed.
        
        
        =======
        History
        =======
        
        0.3.0 (2017-03-22)
        ------------------
        
        * README getting started section.
        * Tests to state machine without model.
        
        
        0.2.0 (2017-03-22)
        ------------------
        
        * ``State`` can hold a value that will be assigned to the model as the state value.
        * Travis-CI integration.
        * RTD integration.
        
        
        0.1.0 (2017-03-21)
        ------------------
        
        * First release on PyPI.
        
Keywords: statemachine
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
