def _getRequest(self, belief, array_slot_summary):
'''
'''
# This is added for confreq.
need_grounding = SummaryUtils.getTopBeliefs(
belief, 0.8, domainString=self.domainString)
for slot in Ontology.global_ontology.get_sorted_system_requestable_slots(
self.domainString):
summary = array_slot_summary[slot]
(_, topprob) = summary['TOPHYPS'][0]
#(_, secprob) = summary['TOPHYPS'][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, _) = grounding_slots[grounding_slot]
#(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 getInformAction(numAccepted, belief, domainString):
'''**Method for global inform action:** returns inform act via getInformExactEntity() method \
or null() if not enough accepted
:param belief: full belief state
:type belief: dict
:param numAccepted: number of slots with prob. mass > 80
:type numAccepted: int
:param domainString: domain tag
:type domainString: str
:returns: getInformExactEntity(acceptanceList,numAccepted)
'''
acceptanceList = SummaryUtils.getTopBeliefs(belief, domainString=domainString) # dict containing the slots with top values diferent to **NONE** and their top values
if numAccepted > len(acceptanceList): # ic340: When would this happen?
return 'null()'
return getInformExactEntity(acceptanceList, numAccepted, domainString)
def add_venue_count(input, belief, domainString):
'''Add venue count.
:param input: String input act.
:param belief: Belief state
:param domainString: domain tag like 'SFHotels'
:type domainString: str
:returns: act with venue count.
'''
acceptanceList = SummaryUtils.getTopBeliefs(belief, domainString)
accepted_slots = {}
for i, slot in enumerate(acceptanceList):
(topvalue, topbelief) = acceptanceList[slot]
if topvalue != 'dontcare':
accepted_slots[slot] = topvalue
count = Ontology.global_ontology.get_length_entity_by_features(domainString, accepted_slots)
input_act = DiaAct.DiaAct(input)
if input_act.act == 'confreq':
if count > 1:
output = copy.deepcopy(input_act)
for slot in accepted_slots:
val = accepted_slots[slot]
if not input_act.contains(slot, val):
output.append_front(slot, val)
output.append_front('count', str(count))
return str(output)
# else:
# logger.warning('accepted slots: ' + str(accepted_slots))
# logger.error('badact in add_venue_count: input=%s, count=%d' % (input, count))
# return 'badact()'
# elif count <=1 and len(accepted_slots) > 0 and input_act.act in ['confirm', 'request', 'select']:
# logger.warning('accepted slots: ' + str(accepted_slots))
# logger.error('badact in add_venue_count: input=%s, count=%d' % (input, count))
# return 'badact()'
return input
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 getGlobalAction(belief, globalact, domainString):
'''**Method for global action:** returns action
:param belief: full belief state
:type belief: dict
:param globalact: - str of globalActionName, e.g. 'INFORM_REQUESTED'
:type globalact: int
:param domainString: domain tag
:type domainString: str
:returns: (str) action
'''
# First get the name for the name goal.
topvalue, topbelief = SummaryUtils.getTopBelief(belief['beliefs']['name'])
toptwo, _ = SummaryUtils.getTopBeliefsExcludingNone(belief['beliefs']['name'])
if topvalue == '**NONE**' or topvalue == 'dontcare' or topbelief < 0.8:
topnamevalue = ''
else:
topnamevalue = toptwo[0][0]
lastInformedVenue = belief['features']['lastInformedVenue']
informedVenueSinceNone = belief['features']['informedVenueSinceNone']
acceptanceList = SummaryUtils.getTopBeliefs(belief, domainString=domainString)
inform_threshold = 0
if Settings.config.has_option("policy", "informthreshold"):
inform_threshold = float(Settings.config.get('policy','informthreshold'))
if inform_threshold > 0:
acceptanceList80 = SummaryUtils.getTopBeliefs(belief, inform_threshold, domainString=domainString)
else:
acceptanceList80 = acceptanceList
requestedSlots = SummaryUtils.getRequestedSlots(belief)
# logger.debug('topnamevalue = %s, lastInformedVenue = %s' % (topnamevalue, lastInformedVenue))
if topnamevalue == '' and lastInformedVenue != '':
# logger.debug('topnamevalue is None, but copy lastInformedVenue')
topnamevalue = lastInformedVenue
if globalact == 'INFORM_REQUESTED':
if topnamevalue != '':
return _getInformRequestedSlots(acceptanceList80, requestedSlots, topnamevalue, domainString)
else:
return _getInformRequestedSlots(acceptanceList80, requestedSlots, 'none', domainString)
elif globalact == 'INFORM_ALTERNATIVES':
#if lastInformedVenue == '':
# print 'Cant inform alternatives no last informed venue'
# return 'null()'
#else:
return _getInformAlternativeEntities(acceptanceList, acceptanceList80, informedVenueSinceNone, domainString)
elif globalact == 'INFORM_MORE': #ic340: is this ever used?
if len(informedVenueSinceNone) > 0 and topnamevalue != '':
return _getInformMoreEntity(topnamevalue, domainString)
else:
return _getInformMoreEntity('none', domainString)
elif globalact == 'INFORM_BYNAME':
return _getInformAlternativeEntities(acceptanceList, acceptanceList80, [], domainString)
elif globalact == 'INFORM_REPEAT':
return 'null()'
elif globalact == 'REQMORE':
if lastInformedVenue != '':
return 'reqmore()'
else:
return 'null()'
elif globalact == 'BYE':
return 'bye()'
elif globalact == 'RESTART':
return 'null()'
else:
logger.warning('Invalid global summary action name: ' + globalact)
return 'null()'
