67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
import copy
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from modules.nlu import UserAct
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import json
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class DialogStateMonitor:
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def __init__(self):
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self.__initial_state = dict(
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belief_state={
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'item': {},
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'address': {},
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'card_nr': {},
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'delivery_method': {},
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'payment_method': {},
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'email': {},
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'order-complete': False,
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},
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act='',
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slot_names=[])
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self.state = copy.deepcopy(self.__initial_state)
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def is_value_empty(self, d, key):
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value = d.get(key, None)
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if value in [None, '', [], {}]:
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return True
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return False
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def update_act(self, intent):
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self.state['act'] = intent
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def update_slot_names(self, slots_names):
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self.state['slot_names'] = slots_names
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def check_order_complete(self):
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all_filled = all(bool(self.state['belief_state'][key]) for key in
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['item', 'address', 'card_nr', 'delivery_method', 'payment_method', 'email'])
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self.state['belief_state']['order-complete'] = all_filled
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def update(self, act: UserAct) -> None:
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print(act)
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if act.intent == 'inform':
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self.update_act(act.intent)
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slots_mapping = {
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'item': [],
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'address': [],
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'card_nr': [],
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'delivery_method': [],
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'payment_method': [],
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'email': []
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}
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for slot in act.slots:
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if slot.name in slots_mapping and self.is_value_empty(self.state, slot.name):
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slots_mapping[slot.name].append(slot.value) # To do: normalization
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for slot_name, values in slots_mapping.items():
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if values:
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self.state['belief_state'][slot_name] = values
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elif act.intent == 'request':
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self.update_act(act.intent)
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slots_names = [slot.name for slot in act.slots]
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self.update_slot_names(slots_names)
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elif act.intent == 'bye':
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self.update_act(act.intent)
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self.check_order_complete()
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