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)