def whether_give_up(customer_utterance, senta_gru, confirm_interpreter):
intent = judge_confirm_classification(customer_utterance, senta_gru,
confirm_interpreter)
print("whether_give_up", intent)
if intent == "no" or intent == "stop":
return True
else:
return False
def confirm_consult_weather(customer_utterance, confirm_interpreter, senta_gru,
city_ls):
ie_slot_result = ie_city_date(customer_utterance, city_ls)
if ie_slot_result:
print("nlu change", ie_slot_result)
return "change", ie_slot_result
confirm_state = confirm_nlu.judge_confirm_classification(
customer_utterance, senta_gru, confirm_interpreter)
print(confirm_state)
return confirm_state, None
def confirm_plan_ticket(customer_utterance, lac, intent_model, senta_gru,
confirm_interpreter):
intent, entities = intent_model.get_intent(customer_utterance)
ie_slot_result = ie_all_plan_ticket(customer_utterance, lac, entities)
if ie_slot_result:
return "change", ie_slot_result
confirm_state = confirm_nlu.judge_confirm_classification(
customer_utterance, senta_gru, confirm_interpreter)
print(confirm_state)
return confirm_state, None
def confirm_plan_scenic_spot(customer_utterance, lac, intent_model, senta_gru, confirm_interpreter, schemes):
if schemes:
scheme_no = ie_scheme_no(customer_utterance, [i for i in range(len(schemes))], lac)
if scheme_no:
if scheme_no == "overflow":
return "nothing", None
return "yes", scheme_no
intent, entities = intent_model.get_intent(customer_utterance)
ie_slot_result = ie_all_plan_scenic_spot(customer_utterance, lac, entities)
if ie_slot_result:
return "change", ie_slot_result
confirm_state = confirm_nlu.judge_confirm_classification(customer_utterance, senta_gru, confirm_interpreter)
print(confirm_state)
return confirm_state, None
def select_plan_ticket(customer_utterance, lac, intent_model, senta_gru,
confirm_interpreter, solutions):
if solutions:
solution_no = ie_solution_no(customer_utterance, solutions.keys(), lac)
if solution_no:
if solution_no == "overflow":
return "nothing", None
return "select_done", solution_no
intent, entities = intent_model.get_intent(customer_utterance)
ie_slot_result = ie_all_plan_ticket(customer_utterance, lac, entities)
if ie_slot_result:
return "change", ie_slot_result
confirm_state = confirm_nlu.judge_confirm_classification(
customer_utterance, senta_gru, confirm_interpreter)
print(confirm_state)
return confirm_state, None