Source code for statemachine.state

from enum import Enum
from typing import TYPE_CHECKING
from typing import Any
from typing import Dict
from typing import Generator
from typing import List
from typing import cast
from weakref import ref

from .callbacks import CallbackGroup
from .callbacks import CallbackPriority
from .callbacks import CallbackSpecList
from .event import _expand_event_id
from .exceptions import InvalidDefinition
from .exceptions import StateMachineError
from .i18n import _
from .invoke import normalize_invoke_callbacks
from .transition import Transition
from .transition_list import TransitionList

if TYPE_CHECKING:
    from .statemachine import StateChart


class _TransitionBuilder:
    def __init__(self, state: "State"):
        self._state = state

    def itself(self, **kwargs):
        return self.__call__(self._state, **kwargs)

    def __call__(self, *states: "State", **kwargs):
        raise NotImplementedError


class _ToState(_TransitionBuilder):
    def __call__(self, *states: "State | NestedStateFactory | None", **kwargs):
        transitions = TransitionList(
            Transition(self._state, cast("State | None", state), **kwargs) for state in states
        )
        self._state.transitions.add_transitions(transitions)
        return transitions


class _FromState(_TransitionBuilder):
    def any(self, **kwargs):
        """Create transitions from all non-final states (reversed)."""
        return self.__call__(AnyState(), **kwargs)

    def __call__(self, *states: "State | NestedStateFactory", **kwargs):
        transitions = TransitionList()
        for origin in states:
            state = cast(State, origin)
            transition = Transition(state, self._state, **kwargs)
            state.transitions.add_transitions(transition)
            transitions.add_transitions(transition)
        return transitions


class NestedStateFactory(type):
    def __new__(  # type: ignore [misc]
        cls, classname, bases, attrs, name="", **kwargs
    ) -> "State":
        if not bases:
            new_cls = super().__new__(cls, classname, bases, attrs)  # type: ignore [return-value]
            new_cls._factory_kwargs = kwargs  # type: ignore [attr-defined]
            return new_cls  # type: ignore [return-value]

        # Inherit factory kwargs from base classes (e.g., parallel=True from State.Parallel)
        inherited_kwargs: dict = {}
        for base in bases:
            inherited_kwargs.update(getattr(base, "_factory_kwargs", {}))
        inherited_kwargs.update(kwargs)

        states = []
        history = []
        callbacks = {}
        for key, value in attrs.items():
            if isinstance(value, HistoryState):
                value._set_id(key)
                history.append(value)
            elif isinstance(value, State):
                value._set_id(key)
                states.append(value)
            elif isinstance(value, TransitionList):
                value.add_event(_expand_event_id(key))
            elif callable(value):
                callbacks[key] = value

        return State(
            name=name, states=states, history=history, _callbacks=callbacks, **inherited_kwargs
        )

    @classmethod
    def to(cls, *args: "State | NestedStateFactory", **kwargs) -> "_ToState":  # pragma: no cover
        """Create transitions to the given target states.
        .. note: This method is only a type hint for mypy.
            The actual implementation belongs to the :ref:`State` class.
        """
        return _ToState(State())

    @classmethod
    def from_(  # pragma: no cover
        cls, *args: "State | NestedStateFactory", **kwargs
    ) -> "_FromState":
        """Create transitions from the given target states (reversed).
        .. note: This method is only a type hint for mypy.
            The actual implementation belongs to the :ref:`State` class.
        """
        return _FromState(State())


[docs] class State: """ A State in a :ref:`StateMachine` describes a particular behavior 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: A human-readable representation of the state. Default is derived from the name of the variable assigned to the state machine class. The name is derived from the id using this logic:: name = id.replace("_", " ").capitalize() 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``. If not specified, the default initial state is the first child state in document order. 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(name="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('Draft', 'Producing', event=[], internal=False, initial=False)]) The result is a :ref:`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. You can declare all transitions for a state in one single line ... >>> transitions = draft.to(draft) | producing.to(closed) ... and you can append additional transitions for a state to previous definitions. >>> transitions |= closed.to(draft) >>> [(t.source.name, t.target.name) for t in transitions] [('Draft', 'Draft'), ('Producing', 'Closed'), ('Closed', 'Draft')] 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('Draft', 'Draft', event=[], internal=False, initial=False)]) 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')] Sometimes it's easier to use the :func:`State.from_` method: >>> transitions = closed.from_(draft, producing, closed) >>> [(t.source.name, t.target.name) for t in transitions] [('Draft', 'Closed'), ('Producing', 'Closed'), ('Closed', 'Closed')] """
[docs] class Compound(metaclass=NestedStateFactory): "Uses the class namespace to build a :ref:`State` instance of a compound state"
[docs] class Parallel(metaclass=NestedStateFactory, parallel=True): "Uses the class namespace to build a :ref:`State` instance of a parallel state"
def __init__( self, name: str = "", value: Any = None, initial: bool = False, final: bool = False, parallel: bool = False, states: "List[State] | None" = None, history: "List[HistoryState] | None" = None, enter: Any = None, exit: Any = None, invoke: Any = None, donedata: Any = None, _callbacks: Any = None, ): self.name = name self.value = value self._parallel = parallel self.states = states or [] self.history = history or [] self.is_atomic = bool(not self.states) self._initial = initial self._final = final self.is_active = False self._id: str = "" self._callbacks = _callbacks self.parent: "State | None" = None self.transitions = TransitionList() self._specs = CallbackSpecList() self.enter = self._specs.grouper(CallbackGroup.ENTER).add( enter, priority=CallbackPriority.INLINE ) self.exit = self._specs.grouper(CallbackGroup.EXIT).add( exit, priority=CallbackPriority.INLINE ) self.invoke = self._specs.grouper(CallbackGroup.INVOKE).add( normalize_invoke_callbacks(invoke), priority=CallbackPriority.INLINE ) if donedata is not None: if not final: raise InvalidDefinition(_("'donedata' can only be specified on final states.")) self.enter.add(donedata, priority=CallbackPriority.INLINE) self.document_order = 0 self._init_states() def _init_states(self): for state in self.states: state.parent = self state._initial = state.initial or self.parallel setattr(self, state.id, state) for history in self.history: history.parent = self setattr(self, history.id, history) def __eq__(self, other): return ( isinstance(other, State) and self.name == other.name and self.id == other.id or (self.value == other) ) def __hash__(self): return hash(repr(self)) def _setup(self): self.enter.add("on_enter_state", priority=CallbackPriority.GENERIC, is_convention=True) self.enter.add(f"on_enter_{self.id}", priority=CallbackPriority.NAMING, is_convention=True) self.exit.add("on_exit_state", priority=CallbackPriority.GENERIC, is_convention=True) self.exit.add(f"on_exit_{self.id}", priority=CallbackPriority.NAMING, is_convention=True) self.invoke.add("on_invoke_state", priority=CallbackPriority.GENERIC, is_convention=True) self.invoke.add( f"on_invoke_{self.id}", priority=CallbackPriority.NAMING, is_convention=True ) def _on_event_defined(self, event: str, transition: Transition, states: List["State"]): """Called by statemachine factory when an event is defined having a transition starting from this state. """ pass def __repr__(self): return ( f"{type(self).__name__}({self.name!r}, id={self.id!r}, value={self.value!r}, " f"initial={self.initial!r}, final={self.final!r}, parallel={self.parallel!r})" ) def __str__(self): return self.name def __get__(self, machine, owner): if machine is None: return self return self.for_instance(machine=machine, cache=machine._states_for_instance) def __set__(self, instance, value): raise StateMachineError( _("State overriding is not allowed. Trying to add '{}' to {}").format(value, self.id) ) def for_instance(self, machine: "StateChart", cache: Dict["State", "State"]) -> "State": if self not in cache: cache[self] = InstanceState(self, machine) return cache[self] @property def id(self) -> str: return self._id def _set_id(self, id: str) -> "State": self._id = id if self.value is None: self.value = id if not self.name: self.name = self._id.replace("_", " ").capitalize() return self @property def to(self) -> _ToState: """Create transitions to the given target states.""" return _ToState(self) @property def from_(self) -> _FromState: """Create transitions from the given target states (reversed).""" return _FromState(self) @property def initial(self): return self._initial @property def final(self): return self._final @property def parallel(self): return self._parallel @property def is_compound(self): return bool(self.states) and not self.parallel @property def is_history(self): return isinstance(self, HistoryState) def ancestors(self, parent: "State | None" = None) -> Generator["State", None, None]: # noqa: UP043 selected = self.parent while selected: if parent and selected == parent: break yield selected selected = selected.parent def is_descendant(self, state: "State") -> bool: return state in self.ancestors()
class InstanceState(State): """ """ def __init__( self, state: State, machine: "StateChart", ): self._state = ref(state) self._machine = ref(machine) self._init_states() def _ref(self) -> State: """Dereference the weakref, raising if the referent has been collected.""" state = self._state() assert state is not None return state @property def name(self): return self._ref().name @property def value(self): return self._ref().value @property def transitions(self): return self._ref().transitions @property def enter(self): return self._ref().enter @property def exit(self): return self._ref().exit @property def invoke(self): return self._ref().invoke def __eq__(self, other): return self._ref() == other def __hash__(self): return hash(repr(self._ref())) def __repr__(self): return repr(self._ref()) @property def initial(self): return self._ref()._initial @property def final(self): return self._ref()._final @property def id(self) -> str: return (self._state() or self)._id # type: ignore[union-attr] @property def is_active(self): machine = self._machine() assert machine is not None return self.value in machine.configuration_values @property def is_atomic(self): return self._ref().is_atomic @property def parent(self): return self._ref().parent @property def states(self): return self._ref().states @property def history(self): return self._ref().history @property def parallel(self): return self._ref().parallel @property def is_compound(self): return self._ref().is_compound @property def document_order(self): return self._ref().document_order class AnyState(State): """A special state that works as a "ANY" placeholder. It is used as the "From" state of a transtion, until the state machine class is evaluated. """ def _on_event_defined(self, event: str, transition: Transition, states: List[State]): for state in states: if state.final: continue new_transition = transition._copy_with_args(source=state, event=event) state.transitions.add_transitions(new_transition) class HistoryType(str, Enum): """Type of history recorded by a :class:`HistoryState`.""" SHALLOW = "shallow" """Remembers only the direct children of the compound state. If the remembered child is itself a compound, it re-enters from its initial state.""" DEEP = "deep" """Remembers the exact leaf (atomic) state across the entire nested hierarchy. Re-entering restores the full ancestor chain down to that leaf.""" @property def is_deep(self) -> bool: return self == HistoryType.DEEP
[docs] class HistoryState(State): def __init__( self, name: str = "", value: Any = None, type: "str | HistoryType" = HistoryType.SHALLOW ): super().__init__(name=name, value=value) self.type = HistoryType(type) self.is_active = False