Source code for statemachine.state

# coding: utf-8
import warnings
from copy import deepcopy
from typing import Any
from typing import Optional
from typing import Text

from .callbacks import Callbacks
from .exceptions import StateMachineError
from .transition import Transition
from .transition_list import TransitionList
from .utils import ugettext as _


[docs]class State(object): """ A State in a state machine describes a particular behaviour of the machine. When we say that a machine is “in” a state, it means that the machine behaves in the way that state describes. Args: name: An human readable representation of the state. value: A specific value to the storage and retrieval of states. If specified, you can use It to map a more friendly representation to a low-level value. initial: Set `' True`` if the ``State`` is the initial one. There must be one and only one initial state in a statemachine. Defaults to ``False``. final: Set ``True`` if represents a final state. A machine can have optionally many final states. Final states have no :ref:`transition` starting from It. Defaults to ``False``. enter: One or more callbacks assigned to be executed when the state is entered. See :ref:`actions`. exit: One or more callbacks assigned to be executed when the state is exited. See :ref:`actions`. State is a core component on how this library implements an expressive API to declare StateMachines. >>> from statemachine import State Given a few states... >>> draft = State("Draft", initial=True) >>> producing = State("Producing") >>> closed = State('Closed', final=True) Transitions are declared using the :func:`State.to` or :func:`State.from_` (reversed) methods. >>> draft.to(producing) TransitionList([Transition(State('Draft', ... The result is a `TransitionList`. Don't worry about this internal class. But the good thing is that it implements the ``OR`` operator to combine transitions, so you can use the ``|`` syntax to compound a list of transitions and assign to the same event. >>> transitions = draft.to(draft) | draft.to(producing) >>> [(t.source.name, t.target.name) for t in transitions] [('Draft', 'Draft'), ('Draft', 'Producing')] There are handy shortcuts that you can use to express this same set of transitions. The first one, ``draft.to(draft)``, is also called a :ref:`self-transition`, and can be expressed using an alternative syntax: >>> draft.to.itself() TransitionList([Transition(State('Draft', ... You can even pass a list of target states to declare at once all transitions starting from the same state. >>> transitions = draft.to(draft, producing, closed) >>> [(t.source.name, t.target.name) for t in transitions] [('Draft', 'Draft'), ('Draft', 'Producing'), ('Draft', 'Closed')] """ def __init__( self, name, value=None, initial=False, final=False, enter=None, exit=None ): # type: (Text, Optional[Any], bool, bool, Optional[Any], Optional[Any]) -> None self.name = name self.value = value self._id = None # type: Optional[Text] self._storage = "" self._initial = initial self.transitions = TransitionList() self._final = final self.enter = Callbacks().add(enter) self.exit = Callbacks().add(exit) def __eq__(self, other): return ( isinstance(other, State) and self.name == other.name and self.id == other.id ) def __hash__(self): return hash(repr(self)) def _setup(self, machine, resolver): self.machine = machine self.enter.setup(resolver) self.exit.setup(resolver) machine.__dict__[self._storage] = self def _add_observer(self, *resolvers): for r in resolvers: self.enter.add( "on_enter_state", resolver=r, prepend=True, suppress_errors=True ) self.enter.add( "on_enter_{}".format(self.id), resolver=r, suppress_errors=True ) self.exit.add( "on_exit_state", resolver=r, prepend=True, suppress_errors=True ) self.exit.add( "on_exit_{}".format(self.id), resolver=r, suppress_errors=True ) def __repr__(self): return "{}({!r}, id={!r}, value={!r}, initial={!r}, final={!r})".format( type(self).__name__, self.name, self.id, self.value, self.initial, self.final, ) def __get__(self, machine, owner): if machine and self._storage in machine.__dict__: return machine.__dict__[self._storage] return self def __set__(self, instance, value): raise StateMachineError( _("State overriding is not allowed. Trying to add '{}' to {}").format( value, self.id ) ) def clone(self): return deepcopy(self) @property def id(self): return self._id @property def identifier(self): warnings.warn( "`State.identifier` is deprecated. Use `State.id` instead.", DeprecationWarning, ) return self.id def _set_id(self, id): self._id = id self._storage = "_{}".format(id) if self.value is None: self.value = id def _to_(self, *states, **kwargs): transitions = TransitionList( Transition(self, state, **kwargs) for state in states ) self.transitions.add_transitions(transitions) return transitions def _from_(self, *states, **kwargs): transitions = TransitionList() for origin in states: transition = Transition(origin, self, **kwargs) origin.transitions.add_transitions(transition) transitions.add_transitions(transition) return transitions def _get_proxy_method_to_itself(self, method): def proxy(*states, **kwargs): return method(*states, **kwargs) def proxy_to_itself(**kwargs): return proxy(self, **kwargs) proxy.itself = proxy_to_itself return proxy @property def to(self): """Create transitions to the given target states.""" return self._get_proxy_method_to_itself(self._to_) @property def from_(self): """Create transitions from the given target states (reversed).""" return self._get_proxy_method_to_itself(self._from_) @property def initial(self): return self._initial @property def final(self): return self._final @property def is_active(self): return self.machine.current_state == self