def get_active_loop_name(state: State) -> Optional[Text]:
"""Get the name of current active loop.
Args:
state: The state from which the name of active loop should be extracted
Return:
the name of active loop or None
"""
if (
not state.get(ACTIVE_LOOP)
or state[ACTIVE_LOOP].get(LOOP_NAME) == SHOULD_NOT_BE_SET
):
return
return state[ACTIVE_LOOP].get(LOOP_NAME)
def _is_rule_applicable(self, rule_key: Text, turn_index: int,
conversation_state: State) -> bool:
"""Check if rule is satisfied with current state at turn.
Args:
rule_key: the textual representation of learned rule
turn_index: index of a current dialogue turn
conversation_state: the state that corresponds to turn_index
Returns:
a boolean that says whether the rule is applicable to current state
"""
# turn_index goes back in time
reversed_rule_states = list(reversed(
self._rule_key_to_state(rule_key)))
# the rule must be applicable because we got (without any applicability issues)
# further in the conversation history than the rule's length
if turn_index >= len(reversed_rule_states):
return True
# a state has previous action if and only if it is not a conversation start
# state
current_previous_action = conversation_state.get(PREVIOUS_ACTION)
rule_previous_action = reversed_rule_states[turn_index].get(
PREVIOUS_ACTION)
# current conversation state and rule state are conversation starters.
# any slots with initial_value set will necessarily be in both states and don't
# need to be checked.
if not rule_previous_action and not current_previous_action:
return True
# current rule state is a conversation starter (due to conversation_start: true)
# but current conversation state is not.
# or
# current conversation state is a starter
# but current rule state is not.
if not rule_previous_action or not current_previous_action:
return False
# check: current rule state features are present in current conversation state
return self._does_rule_match_state(reversed_rule_states[turn_index],
conversation_state)
def get_active_loop_name(
state: State,
) -> Optional[Text]:
"""Get the name of current active loop.
Args:
state: The state from which the name of active loop should be extracted
Return:
the name of active loop or None
"""
if (
not state.get(ACTIVE_LOOP)
or state[ACTIVE_LOOP].get(LOOP_NAME) == SHOULD_NOT_BE_SET
):
return None
# FIXME: better type annotation for `State` would require
# a larger refactoring (e.g. switch to dataclass)
return cast(Optional[Text], state[ACTIVE_LOOP].get(LOOP_NAME))
def _does_rule_match_state(rule_state: State,
conversation_state: State) -> bool:
for state_type, rule_sub_state in rule_state.items():
conversation_sub_state = conversation_state.get(state_type, {})
for key, value in rule_sub_state.items():
if isinstance(value, list):
# json dumps and loads tuples as lists,
# so we need to convert them back
value = tuple(value)
if (
# value should be set, therefore
# check whether it is the same as in the state
value and value != SHOULD_NOT_BE_SET and
conversation_sub_state.get(key) != value
) or (
# value shouldn't be set, therefore
# it should be None or non existent in the state
value == SHOULD_NOT_BE_SET
and conversation_sub_state.get(key)):
return False
return True
def _prev_action_listen_in_state(state: State) -> bool:
prev_action_name = state.get(PREVIOUS_ACTION, {}).get(ACTION_NAME)
return prev_action_name == ACTION_LISTEN_NAME
def _get_active_form_name(
state: State, ) -> Optional[Union[Text, Tuple[Union[float, Text]]]]:
return state.get(ACTIVE_LOOP, {}).get(LOOP_NAME)
def _expected_but_missing_slots(fingerprint: Dict[Text, List[Text]],
state: State) -> Set[Text]:
expected_slots = set(fingerprint.get(SLOTS, {}))
current_slots = set(state.get(SLOTS, {}).keys())
# report all slots that are expected but aren't set in current slots
return expected_slots.difference(current_slots)
def _is_rule_snippet_state(state: State) -> bool:
prev_action_name = state.get(PREVIOUS_ACTION, {}).get(ACTION_NAME)
return prev_action_name == RULE_SNIPPET_ACTION_NAME
def _is_prev_action_unlikely_intent_in_state(state: State) -> bool:
prev_action_name = state.get(PREVIOUS_ACTION, {}).get(ACTION_NAME)
return prev_action_name == ACTION_UNLIKELY_INTENT_NAME