def getNonExecutable(self, belief, lastSystemAction):
'''
Set of rules defining the mask over the action set, given the current belief state
:param belief: the current master belief
:type belief: dict
:param lastSystemAction: the system action of the previous turn
:type lastSystemAction: string
:return: list of non-executable (masked) actions
'''
array_slot_summary = SummaryUtils.arraySlotSummary(belief, self.domainString)
array_slot_summary_rel = SummaryUtilsRel.arraySlotSummaryRel(belief, self.domainString)
global_summary = SummaryUtils.globalSummary(belief, self.domainString)
if global_summary['GLOBAL_BYALTERNATIVES'] and not global_summary['GLOBAL_THANKYOU'] and not global_summary['GLOBAL_ACK']:
self.alternatives_requested = True
nonexec = ['pass']
for action in self.action_names:
mask_action = False
if 'rel' in action:
if "request_" in action:
nonexec.append(action)
# pass
# if mask_action and self.request_mask:
# nonexec.append(action)
elif "select_" in action:
slot_summary = array_slot_summary_rel['_'.join(action.split('_')[2:])]
top_prob = slot_summary['TOPHYPS'][0][1]
sec_prob = slot_summary['TOPHYPS'][1][1]
if top_prob == 0 or sec_prob == 0:
mask_action = True
if mask_action and self.request_mask:
nonexec.append(action)
elif "confirm_" in action:
slot_summary = array_slot_summary_rel['_'.join(action.split('_')[2:])]
top_prob = slot_summary['TOPHYPS'][0][1]
if top_prob == 0:
mask_action = True
if mask_action and self.request_mask:
nonexec.append(action)
else:
if action == "inform":
acceptance_list = SummaryUtils.getTopBeliefs(belief, domainString=self.domainString)
discriminable = SummaryUtils.acceptanceListCanBeDiscriminated(acceptance_list,
self.domainString)
if not global_summary['GLOBAL_BYCONSTRAINTS']:
mask_action = True
if global_summary['GLOBAL_COUNTACCEPTED'] < self.inform_count_accepted and discriminable:
mask_action = True
if mask_action and self.inform_mask:
nonexec.append(action)
elif action == "inform_byname":
if not global_summary['GLOBAL_BYNAME']:
mask_action = True
if belief['features']['lastInformedVenue'] == '' \
and SummaryUtils.getTopBelief(belief['beliefs']['name'])[0] == '**NONE**' :
mask_action = True
if mask_action and self.inform_mask:
nonexec.append(action)
elif action == "inform_alternatives":
if not self.alternatives_requested:
mask_action = True
if belief['features']['lastInformedVenue'] == '':
mask_action = True
if mask_action and self.inform_mask:
nonexec.append(action)
elif action == "bye":
if not global_summary['GLOBAL_FINISHED']:
mask_action = True
if mask_action and self.bye_mask:
nonexec.append(action)
elif action == "repeat":
if not global_summary['GLOBAL_REPEAT'] or lastSystemAction is None:
mask_action = True
mask_action = True # ic340: this action is "deactivated" because simuser doesnt know how to react to it
if mask_action:
nonexec.append(action)
elif action == "reqmore":
if belief['features']['lastInformedVenue'] == '':
mask_action = True
if mask_action and self.request_mask:
nonexec.append(action)
elif action == "restart":
if not global_summary['GLOBAL_RESTART']:
mask_action = True
mask_action = True # ic340: this action is "deactivated" because simuser doesnt know how to react to it
if mask_action:
nonexec.append(action)
elif "request_" in action:
pass
if mask_action and self.request_mask:
nonexec.append(action)
elif "select_" in action:
slot_summary = array_slot_summary[action.split("_")[1]]
top_prob = slot_summary['TOPHYPS'][0][1]
sec_prob = slot_summary['TOPHYPS'][1][1]
if top_prob == 0 or sec_prob == 0:
mask_action = True
if mask_action and self.request_mask:
nonexec.append(action)
elif "confirm_" in action:
slot_summary = array_slot_summary[action.split("_")[1]]
top_prob = slot_summary['TOPHYPS'][0][1]
if top_prob == 0:
mask_action = True
if mask_action and self.request_mask:
nonexec.append(action)
elif "confreq_" in action:
slot_summary = array_slot_summary[action.split("_")[1]]
top_prob = slot_summary['TOPHYPS'][0][1]
if top_prob == 0:
mask_action = True
if mask_action and self.request_mask:
nonexec.append(action)
logger.dial('masked inform actions:' + str([act for act in nonexec if 'inform' in act]))
return nonexec
def nextAction(self, belief):
"""Primary response function of HDC policy - hands off control to entity-retrieval policy.
"""
global_summary = SummaryUtils.globalSummary(
belief, domainString=self.domainString)
return self.work_entity_retrieval(belief, global_summary)
