146 lines
6.2 KiB
Python
146 lines
6.2 KiB
Python
from collections import defaultdict
|
|
import copy
|
|
import json
|
|
from copy import deepcopy
|
|
|
|
class DP():
|
|
"""
|
|
Moduł decydujący o wyborze kolejnego aktu, który ma podjąć system prowadząc rozmowę.
|
|
|
|
Wejście: Reprezentacja stanu dialogu (rama)
|
|
|
|
Wyjście: Akt systemu (rama)
|
|
"""
|
|
|
|
|
|
def predict(self, state):
|
|
self.results = []
|
|
system_action = defaultdict(list)
|
|
user_action = defaultdict(list)
|
|
|
|
for intent, domain, slot, value in state['user_action']:
|
|
user_action[(domain, intent)].append((slot, value))
|
|
|
|
for user_act in user_action:
|
|
self.update_system_action(user_act, user_action, state, system_action)
|
|
|
|
|
|
# # Reguła 3
|
|
# if any(True for slots in user_action.values() for (slot, _) in slots if slot in ['Stay', 'Day', 'People']):
|
|
# if self.results:
|
|
# system_action = {('Booking', 'Book'): [["Ref", self.results[0].get('Ref', 'N/A')]]}
|
|
|
|
# system_acts = [[intent, domain, slot, value] for (domain, intent), slots in system_action.items() for slot, value in slots]
|
|
# state['system_action'] = system_acts
|
|
# return system_acts
|
|
|
|
def update_system_action(self, user_act, user_action, state, system_action):
|
|
domain, intent = user_act
|
|
constraints = [(slot, value) for slot, value in state['belief_state'][domain.lower()].items() if value != '']
|
|
|
|
|
|
print(domain)
|
|
print(intent)
|
|
print(constraints)
|
|
|
|
# Reguła 1
|
|
|
|
if domain == 'appointment':
|
|
if len(constraints) == 0:
|
|
system_action[(domain, 'NoOffer')] = []
|
|
elif intent == 'appointment/create_appointment':
|
|
for x in constraints:
|
|
if(x[0] == 'doctor'):
|
|
system_action[(domain, 'book_appointent')].append([x[0], x[1]])
|
|
for y in constraints:
|
|
if(y[0] == 'datetime'):
|
|
system_action[(domain, 'book_appointent')].append([y[0], y[1]])
|
|
elif intent == 'appointment/set_date':
|
|
for y in constraints:
|
|
if(y[0] == 'datetime'):
|
|
system_action[(domain, 'set_appointment_date')].append([y[0], y[1]])
|
|
|
|
|
|
|
|
#################################################################################################
|
|
# Reguła 2
|
|
|
|
if domain == 'request_information':
|
|
constraints_v2 = [(slot, value) for slot, value in state['request_state'][domain.lower()].items() if value != '']
|
|
if intent == 'request_information/available_dates':
|
|
for x in constraints_v2:
|
|
if(x[0] == 'doctor'):
|
|
system_action[(domain, 'date_info')].append([x[0], x[1]])
|
|
for y in constraints_v2:
|
|
if(y[0] == 'datetime'):
|
|
system_action[(domain, 'date_info')].append([y[0], y[1]])
|
|
elif intent == 'request_information/doctors':
|
|
system_action[(domain, 'Doctors_list')] = []
|
|
elif intent == 'request_information/location':
|
|
system_action[(domain, 'Location')] = []
|
|
elif intent == 'request_information/cost':
|
|
system_action[(domain, 'Cost')] = []
|
|
elif intent == 'request_information/opening_hours':
|
|
system_action[(domain, 'Opening_Hours')] = []
|
|
elif len(constraints) == 0:
|
|
system_action[(domain, 'NoOffer')] = []
|
|
|
|
#################################################################################################
|
|
# Reguła 3
|
|
if domain == 'end_conversation':
|
|
system_action[(domain, 'End_Conversation')] = []
|
|
|
|
#################################################################################################
|
|
# Reguła 4
|
|
if domain == 'greeting':
|
|
system_action[(domain, 'Greeting')] = []
|
|
|
|
#################################################################################################
|
|
# Reguła 5
|
|
if domain == 'prescription':
|
|
constraints_v2 = [(slot, value) for slot, value in state['request_state'][domain.lower()].items() if value != '']
|
|
if intent == 'prescription/request':
|
|
for x in constraints_v2:
|
|
if(x[0] == 'prescription/type'):
|
|
system_action[(domain, 'create_prescription')].append([x[0], x[1]])
|
|
for y in constraints_v2:
|
|
if(y[0] == 'prescription/medicine'):
|
|
system_action[(domain, 'create_prescription')].append([y[0], y[1]])
|
|
elif intent == 'prescription/collect':
|
|
for x in constraints_v2:
|
|
if(x[0] == 'prescription/type'):
|
|
system_action[(domain, 'collect_prescription')].append([x[0], x[1]])
|
|
elif intent == 'prescription/type':
|
|
for x in constraints_v2:
|
|
if(x[0] == 'prescription/type_info'):
|
|
system_action[(domain, 'prescription type')].append([x[0], x[1]])
|
|
if len(constraints_v2) == 0:
|
|
system_action[(domain, 'NoOffer')] = []
|
|
|
|
print(system_action)
|
|
|
|
## Brakuje: Rejestracja, Login, Hasło, affirm, deny
|
|
|
|
|
|
|
|
|
|
|
|
# if len(constraints) == 0:
|
|
# system_action[(domain, 'NoOffer')] = []
|
|
# else:
|
|
# for slot in user_action[user_act]:
|
|
# kb_slot_name = REF_SYS_DA[domain].get(slot[0], slot[0])
|
|
|
|
# if kb_slot_name in self.results[0]:
|
|
# system_action[(domain, 'Inform')].append([slot[0], self.results[0].get(kb_slot_name, 'unknown')])
|
|
|
|
# # Reguła 2
|
|
# elif intent == 'Inform':
|
|
# if len(self.results) == 0:
|
|
# system_action[(domain, 'NoOffer')] = []
|
|
# else:
|
|
# system_action[(domain, 'Inform')].append(['Choice', str(len(self.results))])
|
|
# choice = self.results[0]
|
|
|
|
# if domain in ["Hotel", "Attraction", "Police", "Restaurant"]:
|
|
# system_action[(domain, 'Recommend')].append(['Name', choice['name']]) |