def test_all_possible_actions(self): # pylint: disable=no-self-use world = AtisWorld([("give me all flights from boston to " "philadelphia next week arriving after lunch")]) possible_actions = world.all_possible_actions() assert possible_actions == \ ['agg -> [agg_func, "(", col_ref, ")"]', 'agg_func -> ["COUNT"]', 'agg_func -> ["MAX"]', 'agg_func -> ["MIN"]', 'agg_results -> ["(", "SELECT", distinct, agg, "FROM", table_name, ' 'where_clause, ")"]', 'agg_results -> ["SELECT", distinct, agg, "FROM", table_name, where_clause]', 'biexpr -> [col_ref, "LIKE", string]', 'biexpr -> [col_ref, binaryop, value]', 'biexpr -> [value, binaryop, value]', 'binaryop -> ["*"]', 'binaryop -> ["+"]', 'binaryop -> ["-"]', 'binaryop -> ["/"]', 'binaryop -> ["<"]', 'binaryop -> ["<="]', 'binaryop -> ["="]', 'binaryop -> [">"]', 'binaryop -> [">="]', 'binaryop -> ["IS"]', 'boolean -> ["false"]', 'boolean -> ["true"]', 'col_ref -> ["*"]', 'col_ref -> ["aircraft", ".", "aircraft_code"]', 'col_ref -> ["aircraft", ".", "aircraft_description"]', 'col_ref -> ["aircraft", ".", "basic_type"]', 'col_ref -> ["aircraft", ".", "manufacturer"]', 'col_ref -> ["aircraft", ".", "pressurized"]', 'col_ref -> ["aircraft", ".", "propulsion"]', 'col_ref -> ["aircraft", ".", "wide_body"]', 'col_ref -> ["airline", ".", "airline_code"]', 'col_ref -> ["airline", ".", "airline_name"]', 'col_ref -> ["airport", ".", "airport_code"]', 'col_ref -> ["airport", ".", "airport_location"]', 'col_ref -> ["airport", ".", "airport_name"]', 'col_ref -> ["airport", ".", "country_name"]', 'col_ref -> ["airport", ".", "minimum_connect_time"]', 'col_ref -> ["airport", ".", "state_code"]', 'col_ref -> ["airport", ".", "time_zone_code"]', 'col_ref -> ["airport_service", ".", "airport_code"]', 'col_ref -> ["airport_service", ".", "city_code"]', 'col_ref -> ["airport_service", ".", "direction"]', 'col_ref -> ["airport_service", ".", "miles_distant"]', 'col_ref -> ["airport_service", ".", "minutes_distant"]', 'col_ref -> ["city", ".", "city_code"]', 'col_ref -> ["city", ".", "city_name"]', 'col_ref -> ["city", ".", "country_name"]', 'col_ref -> ["city", ".", "state_code"]', 'col_ref -> ["city", ".", "time_zone_code"]', 'col_ref -> ["class_of_service", ".", "booking_class"]', 'col_ref -> ["class_of_service", ".", "class_description"]', 'col_ref -> ["class_of_service", ".", "rank"]', 'col_ref -> ["date_day", ".", "day_name"]', 'col_ref -> ["date_day", ".", "day_number"]', 'col_ref -> ["date_day", ".", "month_number"]', 'col_ref -> ["date_day", ".", "year"]', 'col_ref -> ["days", ".", "day_name"]', 'col_ref -> ["days", ".", "days_code"]', 'col_ref -> ["equipment_sequence", ".", "aircraft_code"]', 'col_ref -> ["equipment_sequence", ".", "aircraft_code_sequence"]', 'col_ref -> ["fare", ".", "fare_airline"]', 'col_ref -> ["fare", ".", "fare_basis_code"]', 'col_ref -> ["fare", ".", "fare_id"]', 'col_ref -> ["fare", ".", "from_airport"]', 'col_ref -> ["fare", ".", "one_direction_cost"]', 'col_ref -> ["fare", ".", "restriction_code"]', 'col_ref -> ["fare", ".", "round_trip_cost"]', 'col_ref -> ["fare", ".", "round_trip_required"]', 'col_ref -> ["fare", ".", "to_airport"]', 'col_ref -> ["fare_basis", ".", "basis_days"]', 'col_ref -> ["fare_basis", ".", "booking_class"]', 'col_ref -> ["fare_basis", ".", "class_type"]', 'col_ref -> ["fare_basis", ".", "discounted"]', 'col_ref -> ["fare_basis", ".", "economy"]', 'col_ref -> ["fare_basis", ".", "fare_basis_code"]', 'col_ref -> ["fare_basis", ".", "night"]', 'col_ref -> ["fare_basis", ".", "premium"]', 'col_ref -> ["fare_basis", ".", "season"]', 'col_ref -> ["flight", ".", "aircraft_code_sequence"]', 'col_ref -> ["flight", ".", "airline_code"]', 'col_ref -> ["flight", ".", "airline_flight"]', 'col_ref -> ["flight", ".", "arrival_time"]', 'col_ref -> ["flight", ".", "connections"]', 'col_ref -> ["flight", ".", "departure_time"]', 'col_ref -> ["flight", ".", "dual_carrier"]', 'col_ref -> ["flight", ".", "flight_days"]', 'col_ref -> ["flight", ".", "flight_id"]', 'col_ref -> ["flight", ".", "flight_number"]', 'col_ref -> ["flight", ".", "from_airport"]', 'col_ref -> ["flight", ".", "meal_code"]', 'col_ref -> ["flight", ".", "stops"]', 'col_ref -> ["flight", ".", "time_elapsed"]', 'col_ref -> ["flight", ".", "to_airport"]', 'col_ref -> ["flight_fare", ".", "fare_id"]', 'col_ref -> ["flight_fare", ".", "flight_id"]', 'col_ref -> ["flight_leg", ".", "flight_id"]', 'col_ref -> ["flight_leg", ".", "leg_flight"]', 'col_ref -> ["flight_leg", ".", "leg_number"]', 'col_ref -> ["flight_stop", ".", "arrival_airline"]', 'col_ref -> ["flight_stop", ".", "arrival_flight_number"]', 'col_ref -> ["flight_stop", ".", "arrival_time"]', 'col_ref -> ["flight_stop", ".", "departure_airline"]', 'col_ref -> ["flight_stop", ".", "departure_flight_number"]', 'col_ref -> ["flight_stop", ".", "departure_time"]', 'col_ref -> ["flight_stop", ".", "flight_id"]', 'col_ref -> ["flight_stop", ".", "stop_airport"]', 'col_ref -> ["flight_stop", ".", "stop_days"]', 'col_ref -> ["flight_stop", ".", "stop_number"]', 'col_ref -> ["flight_stop", ".", "stop_time"]', 'col_ref -> ["food_service", ".", "compartment"]', 'col_ref -> ["food_service", ".", "meal_code"]', 'col_ref -> ["food_service", ".", "meal_description"]', 'col_ref -> ["food_service", ".", "meal_number"]', 'col_ref -> ["ground_service", ".", "airport_code"]', 'col_ref -> ["ground_service", ".", "city_code"]', 'col_ref -> ["ground_service", ".", "ground_fare"]', 'col_ref -> ["ground_service", ".", "transport_type"]', 'col_ref -> ["month", ".", "month_name"]', 'col_ref -> ["month", ".", "month_number"]', 'col_ref -> ["restriction", ".", "advance_purchase"]', 'col_ref -> ["restriction", ".", "application"]', 'col_ref -> ["restriction", ".", "maximum_stay"]', 'col_ref -> ["restriction", ".", "minimum_stay"]', 'col_ref -> ["restriction", ".", "no_discounts"]', 'col_ref -> ["restriction", ".", "restriction_code"]', 'col_ref -> ["restriction", ".", "saturday_stay_required"]', 'col_ref -> ["restriction", ".", "stopovers"]', 'col_ref -> ["state", ".", "country_name"]', 'col_ref -> ["state", ".", "state_code"]', 'col_ref -> ["state", ".", "state_name"]', 'col_refs -> [col_ref, ",", col_refs]', 'col_refs -> [col_ref]', 'condition -> [biexpr]', 'condition -> [in_clause]', 'condition -> [ternaryexpr]', 'conditions -> ["(", conditions, ")", conj, conditions]', 'conditions -> ["(", conditions, ")"]', 'conditions -> ["NOT", conditions]', 'conditions -> [condition, conj, "(", conditions, ")"]', 'conditions -> [condition, conj, conditions]', 'conditions -> [condition]', 'conj -> ["AND"]', 'conj -> ["OR"]', 'distinct -> [""]', 'distinct -> ["DISTINCT"]', 'in_clause -> [col_ref, "IN", query]', 'number -> ["0"]', 'number -> ["1"]', 'number -> ["1200"]', 'number -> ["1400"]', 'number -> ["1800"]', 'pos_value -> ["ALL", query]', 'pos_value -> ["ANY", query]', 'pos_value -> ["NULL"]', 'pos_value -> [agg_results]', 'pos_value -> [boolean]', 'pos_value -> [col_ref]', 'pos_value -> [number]', 'pos_value -> [string]', 'query -> ["(", "SELECT", distinct, select_results, "FROM", table_refs, ' 'where_clause, ")"]', 'query -> ["SELECT", distinct, select_results, "FROM", table_refs, ' 'where_clause]', 'select_results -> [agg]', 'select_results -> [col_refs]', 'statement -> [query, ";"]', 'string -> ["\'BBOS\'"]', 'string -> ["\'BOS\'"]', 'string -> ["\'BOSTON\'"]', 'string -> ["\'LUNCH\'"]', 'string -> ["\'PHILADELPHIA\'"]', 'string -> ["\'PHL\'"]', 'string -> ["\'PPHL\'"]', 'table_name -> ["aircraft"]', 'table_name -> ["airline"]', 'table_name -> ["airport"]', 'table_name -> ["airport_service"]', 'table_name -> ["city"]', 'table_name -> ["class_of_service"]', 'table_name -> ["date_day"]', 'table_name -> ["days"]', 'table_name -> ["equipment_sequence"]', 'table_name -> ["fare"]', 'table_name -> ["fare_basis"]', 'table_name -> ["flight"]', 'table_name -> ["flight_fare"]', 'table_name -> ["flight_leg"]', 'table_name -> ["flight_stop"]', 'table_name -> ["food_service"]', 'table_name -> ["ground_service"]', 'table_name -> ["month"]', 'table_name -> ["restriction"]', 'table_name -> ["state"]', 'table_refs -> [table_name, ",", table_refs]', 'table_refs -> [table_name]', 'ternaryexpr -> [col_ref, "BETWEEN", value, "AND", value]', 'ternaryexpr -> [col_ref, "NOT", "BETWEEN", value, "AND", value]', 'value -> ["NOT", pos_value]', 'value -> [pos_value]', 'where_clause -> ["WHERE", "(", conditions, ")"]', 'where_clause -> ["WHERE", conditions]']
def text_to_instance( self, # type: ignore utterances: List[str], sql_query: str = None) -> Instance: # pylint: disable=arguments-differ """ Parameters ---------- utterances: ``List[str]``, required. List of utterances in the interaction, the last element is the current utterance. sql_query: ``str``, optional The SQL query, given as label during training or validation. """ utterance = utterances[-1] action_sequence: List[str] = [] if not utterance: return None world = AtisWorld(utterances=utterances, database_directory=self._database_directory) if sql_query: try: action_sequence = world.get_action_sequence(sql_query) except ParseError: logger.debug(f'Parsing error') tokenized_utterance = self._tokenizer.tokenize(utterance.lower()) utterance_field = TextField(tokenized_utterance, self._token_indexers) production_rule_fields: List[Field] = [] for production_rule in world.all_possible_actions(): lhs, _ = production_rule.split(' ->') is_global_rule = not lhs in ['number', 'string'] # The whitespaces are not semantically meaningful, so we filter them out. production_rule = ' '.join([ token for token in production_rule.split(' ') if token != 'ws' ]) field = ProductionRuleField(production_rule, is_global_rule) production_rule_fields.append(field) action_field = ListField(production_rule_fields) action_map = { action.rule: i # type: ignore for i, action in enumerate(action_field.field_list) } index_fields: List[Field] = [] world_field = MetadataField(world) fields = { 'utterance': utterance_field, 'actions': action_field, 'world': world_field, 'linking_scores': ArrayField(world.linking_scores) } if sql_query: if action_sequence: for production_rule in action_sequence: index_fields.append( IndexField(action_map[production_rule], action_field)) action_sequence_field: List[Field] = [] action_sequence_field.append(ListField(index_fields)) fields['target_action_sequence'] = ListField( action_sequence_field) else: # If we are given a SQL query, but we are unable to parse it, then we will skip it. return None return Instance(fields)
def text_to_instance( self, # type: ignore utterances: List[str], sql_query_labels: List[str] = None) -> Instance: # pylint: disable=arguments-differ """ Parameters ---------- utterances: ``List[str]``, required. List of utterances in the interaction, the last element is the current utterance. sql_query_labels: ``List[str]``, optional The SQL queries that are given as labels during training or validation. """ if self._num_turns_to_concatenate: utterances[-1] = f' {END_OF_UTTERANCE_TOKEN} '.join( utterances[-self._num_turns_to_concatenate:]) utterance = utterances[-1] action_sequence: List[str] = [] if not utterance: return None world = AtisWorld(utterances=utterances) if sql_query_labels: # If there are multiple sql queries given as labels, we use the shortest # one for training. sql_query = min(sql_query_labels, key=len) try: action_sequence = world.get_action_sequence(sql_query) except ParseError: logger.debug(f'Parsing error') tokenized_utterance = self._tokenizer.tokenize(utterance.lower()) utterance_field = TextField(tokenized_utterance, self._token_indexers) production_rule_fields: List[Field] = [] for production_rule in world.all_possible_actions(): nonterminal, _ = production_rule.split(' ->') # The whitespaces are not semantically meaningful, so we filter them out. production_rule = ' '.join([ token for token in production_rule.split(' ') if token != 'ws' ]) field = ProductionRuleField(production_rule, self._is_global_rule(nonterminal)) production_rule_fields.append(field) action_field = ListField(production_rule_fields) action_map = { action.rule: i # type: ignore for i, action in enumerate(action_field.field_list) } index_fields: List[Field] = [] world_field = MetadataField(world) fields = { 'utterance': utterance_field, 'actions': action_field, 'world': world_field, 'linking_scores': ArrayField(world.linking_scores) } if sql_query_labels != None: fields['sql_queries'] = MetadataField(sql_query_labels) if action_sequence and not self._keep_if_unparseable: for production_rule in action_sequence: index_fields.append( IndexField(action_map[production_rule], action_field)) action_sequence_field = ListField(index_fields) fields['target_action_sequence'] = action_sequence_field elif not self._keep_if_unparseable: # If we are given a SQL query, but we are unable to parse it, and we do not specify explicitly # to keep it, then we will skip the it. return None return Instance(fields)
def text_to_instance(self, # type: ignore utterances: List[str], sql_query_labels: List[str] = None) -> Instance: # pylint: disable=arguments-differ """ Parameters ---------- utterances: ``List[str]``, required. List of utterances in the interaction, the last element is the current utterance. sql_query_labels: ``List[str]``, optional The SQL queries that are given as labels during training or validation. """ if self._num_turns_to_concatenate: utterances[-1] = f' {END_OF_UTTERANCE_TOKEN} '.join(utterances[-self._num_turns_to_concatenate:]) utterance = utterances[-1] action_sequence: List[str] = [] if not utterance: return None world = AtisWorld(utterances=utterances) if sql_query_labels: # If there are multiple sql queries given as labels, we use the shortest # one for training. sql_query = min(sql_query_labels, key=len) try: action_sequence = world.get_action_sequence(sql_query) except ParseError: action_sequence = [] logger.debug(f'Parsing error') tokenized_utterance = self._tokenizer.tokenize(utterance.lower()) utterance_field = TextField(tokenized_utterance, self._token_indexers) production_rule_fields: List[Field] = [] for production_rule in world.all_possible_actions(): nonterminal, _ = production_rule.split(' ->') # The whitespaces are not semantically meaningful, so we filter them out. production_rule = ' '.join([token for token in production_rule.split(' ') if token != 'ws']) field = ProductionRuleField(production_rule, self._is_global_rule(nonterminal)) production_rule_fields.append(field) action_field = ListField(production_rule_fields) action_map = {action.rule: i # type: ignore for i, action in enumerate(action_field.field_list)} index_fields: List[Field] = [] world_field = MetadataField(world) fields = {'utterance' : utterance_field, 'actions' : action_field, 'world' : world_field, 'linking_scores' : ArrayField(world.linking_scores)} if sql_query_labels != None: fields['sql_queries'] = MetadataField(sql_query_labels) if self._keep_if_unparseable or action_sequence: for production_rule in action_sequence: index_fields.append(IndexField(action_map[production_rule], action_field)) if not action_sequence: index_fields = [IndexField(-1, action_field)] action_sequence_field = ListField(index_fields) fields['target_action_sequence'] = action_sequence_field else: # If we are given a SQL query, but we are unable to parse it, and we do not specify explicitly # to keep it, then we will skip the it. return None return Instance(fields)