def activation_response(cls, initial_query: TextQuery, slots: Dict[Slot, str]) -> ActivationResponse:
if Slot.Name not in slots:
return None
for phrase in AboutArtistAction.triggering_phrases:
if phrase in initial_query.text:
return ActivationResponse(intent_detected=True)
def activation_response(cls, initial_query: TextQuery,
slots: Dict[Slot, str]) -> ActivationResponse:
for question_category in cls._faq_dataset.responses:
if cls._is_matching_question_category(question_category,
initial_query):
is_museum_specific = cls._faq_dataset.responses[
question_category]['is_museum_specific']
return ActivationResponse(intent_detected=True,
props={
'question_category':
question_category,
'is_museum_specific':
is_museum_specific
})
def activation_response(cls, initial_query: TextQuery,
slots: Dict[Slot, str]) -> ActivationResponse:
if Slot.ShopByName not in slots:
return None
return ActivationResponse(intent_detected=True)
def activation_response(cls, initial_query: TextQuery,
slots: Dict[Slot, str]) -> ActivationResponse:
for phrase in RouteAction.triggering_phrases:
if phrase in initial_query.lower():
return ActivationResponse(intent_detected=True)