def _getRequest(self, belief, array_slot_summary):
#slots = Settings.ontology['system_requestable']
# This is added for confreq.
need_grounding = DMUtils.getTopBeliefs(belief, 0.8, domainUtil=self.domainUtil)
for slot in self.domainUtil.sorted_system_requestable_slots: #slots:
summary = array_slot_summary[slot]
(_, topprob) = summary['TOPTWO'][0]
(_, secprob) = summary['TOPTWO'][1]
if topprob < 0.8:
# Add implicit confirmation (for confreq.)
grounding_slots = copy.deepcopy(need_grounding)
if slot in grounding_slots:
del grounding_slots[slot]
grounding_result = []
for grounding_slot in grounding_slots:
if len(grounding_result) < 3:
(value, prob) = grounding_slots[grounding_slot]
grounding_result.append('%s="%s"' % (grounding_slot, value))
if not grounding_result or not self.use_confreq:
return True, 'request(%s)' % slot
else:
return True, 'confreq(' + ','.join(grounding_result) + ',%s)' % slot
return False, 'null()'
def _getRequest(self, belief, array_slot_summary):
#slots = Settings.ontology['system_requestable']
# This is added for confreq.
need_grounding = DMUtils.getTopBeliefs(belief,
0.8,
domainUtil=self.domainUtil)
for slot in self.domainUtil.sorted_system_requestable_slots: #slots:
summary = array_slot_summary[slot]
(_, topprob) = summary['TOPTWO'][0]
(_, secprob) = summary['TOPTWO'][1]
if topprob < 0.8:
# Add implicit confirmation (for confreq.)
grounding_slots = copy.deepcopy(need_grounding)
if slot in grounding_slots:
del grounding_slots[slot]
grounding_result = []
for grounding_slot in grounding_slots:
if len(grounding_result) < 3:
(value, prob) = grounding_slots[grounding_slot]
grounding_result.append('%s="%s"' %
(grounding_slot, value))
if not grounding_result or not self.use_confreq:
return True, 'request(%s)' % slot
else:
return True, 'confreq(' + ','.join(
grounding_result) + ',%s)' % slot
return False, 'null()'
def actionSpecificInformSummary(belief, numAccepted, domainUtil):
'''count: # of entities matching with numAccepted slots in acceptance list.
:param belief: (dict) full belief state
:param numAccepted: (int)
:param informable_slots: (list)
:returns: summary_array [count==0, count==1, 2<=count<=4, count>4, discriminatable] \ discriminatable: matching entities can be further discriminated
'''
acceptanceList = DMUtils.getTopBeliefs(belief, domainUtil=domainUtil)
count = _countEntitiesForAcceptanceListPart(acceptanceList, numAccepted, domainUtil)
discriminatable = _acceptanceListCanBeDiscriminated(acceptanceList, numAccepted, domainUtil)
summary_array = [count == 0, count == 1, 2 <= count <= 4, count > 4, discriminatable]
return summary_array
def actionSpecificInformSummary(belief, numAccepted, domainUtil):
"""count: # of entities matching with numAccepted slots in acceptance list.
:param belief: (dict) full belief state
:param numAccepted: (int)
:param informable_slots: (list)
:returns: summary_array [count==0, count==1, 2<=count<=4, count>4, discriminatable] \ discriminatable: matching entities can be further discriminated
"""
acceptanceList = DMUtils.getTopBeliefs(belief, domainUtil=domainUtil)
count = _countEntitiesForAcceptanceListPart(acceptanceList, numAccepted, domainUtil)
discriminatable = _acceptanceListCanBeDiscriminated(acceptanceList, numAccepted, domainUtil)
summary_array = [count == 0, count == 1, 2 <= count <= 4, count > 4, discriminatable]
return summary_array
def globalSummary(belief, domainUtil):
'''summary of global actions such as offer happened etc.
:param belief: (dict) full belief state
:returns: (dict) summary. dict keys are given by :meth:`global_summary_features`
'''
topMethod, topMethodBelief = DMUtils.getTopBelief(belief['beliefs']['method'])
topDiscourseAct, topDiscourseActBelief = DMUtils.getTopBelief(belief['beliefs']['discourseAct'])
if topMethod == 'byconstraints':
globalpoint = 'GLOBAL_BYCONSTRAINTS'
elif topMethod == 'byalternatives':
globalpoint = 'GLOBAL_BYALTERNATIVES'
elif topMethod == 'byname':
globalpoint = 'GLOBAL_BYNAME'
elif topMethod == 'finished' and topMethodBelief > 0.5:
globalpoint = 'GLOBAL_FINISHED'
elif topMethod == 'restart' and topMethodBelief > 0.5:
globalpoint = 'GLOBAL_RESTART'
else:
globalpoint = 'GLOBAL_BYCONSTRAINTS'
if topDiscourseAct == 'repeat' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_REPEAT'
elif topDiscourseAct == 'reqmore' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_REQMORE'
elif topDiscourseAct == 'thankyou' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_THANKYOU'
elif topDiscourseAct == 'ack' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_ACK'
summaryArray = dict.fromkeys(global_summary_features, False)
summaryArray[globalpoint] = True
summaryArray['GLOBAL_COUNT80'] = len(DMUtils.getTopBeliefs(belief, domainUtil=domainUtil))
summaryArray['GLOBAL_NAMENONE'] = belief['features']['lastActionInformNone']
summaryArray['GLOBAL_OFFERHAPPENED'] = belief['features']['offerHappened']
return summaryArray
def globalSummary(belief, domainUtil):
"""summary of global actions such as offer happened etc.
:param belief: (dict) full belief state
:returns: (dict) summary. dict keys are given by :meth:`global_summary_features`
"""
topMethod, topMethodBelief = DMUtils.getTopBelief(belief["beliefs"]["method"])
topDiscourseAct, topDiscourseActBelief = DMUtils.getTopBelief(belief["beliefs"]["discourseAct"])
if topMethod == "byconstraints":
globalpoint = "GLOBAL_BYCONSTRAINTS"
elif topMethod == "byalternatives":
globalpoint = "GLOBAL_BYALTERNATIVES"
elif topMethod == "byname":
globalpoint = "GLOBAL_BYNAME"
elif topMethod == "finished" and topMethodBelief > 0.5:
globalpoint = "GLOBAL_FINISHED"
elif topMethod == "restart" and topMethodBelief > 0.5:
globalpoint = "GLOBAL_RESTART"
else:
globalpoint = "GLOBAL_BYCONSTRAINTS"
if topDiscourseAct == "repeat" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_REPEAT"
elif topDiscourseAct == "reqmore" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_REQMORE"
elif topDiscourseAct == "thankyou" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_THANKYOU"
elif topDiscourseAct == "ack" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_ACK"
summaryArray = dict.fromkeys(global_summary_features, False)
summaryArray[globalpoint] = True
summaryArray["GLOBAL_COUNT80"] = len(DMUtils.getTopBeliefs(belief, domainUtil=domainUtil))
summaryArray["GLOBAL_NAMENONE"] = belief["features"]["lastActionInformNone"]
summaryArray["GLOBAL_OFFERHAPPENED"] = belief["features"]["offerHappened"]
return summaryArray
