import rasa.shared.nlu.constants from rasa.shared.nlu.constants import ENTITY_ATTRIBUTE_CONFIDENCE BILOU_ENTITIES = "bilou_entities" BILOU_ENTITIES_ROLE = "bilou_entities_role" BILOU_ENTITIES_GROUP = "bilou_entities_group" ENTITY_ATTRIBUTE_CONFIDENCE_TYPE = ( f"{ENTITY_ATTRIBUTE_CONFIDENCE}_{rasa.shared.nlu.constants.ENTITY_ATTRIBUTE_TYPE}" ) ENTITY_ATTRIBUTE_CONFIDENCE_GROUP = ( f"{ENTITY_ATTRIBUTE_CONFIDENCE}_{rasa.shared.nlu.constants.ENTITY_ATTRIBUTE_GROUP}" ) ENTITY_ATTRIBUTE_CONFIDENCE_ROLE = ( f"{ENTITY_ATTRIBUTE_CONFIDENCE}_{rasa.shared.nlu.constants.ENTITY_ATTRIBUTE_ROLE}" ) EXTRACTOR = "extractor" PRETRAINED_EXTRACTORS = {"DucklingEntityExtractor", "SpacyEntityExtractor"} NUMBER_OF_SUB_TOKENS = "number_of_sub_tokens" MESSAGE_ATTRIBUTES = [ rasa.shared.nlu.constants.TEXT, rasa.shared.nlu.constants.INTENT, rasa.shared.nlu.constants.RESPONSE, rasa.shared.nlu.constants.ACTION_NAME, rasa.shared.nlu.constants.ACTION_TEXT, rasa.shared.nlu.constants.INTENT_RESPONSE_KEY, ] # the dense featurizable attributes are essentially text attributes DENSE_FEATURIZABLE_ATTRIBUTES = [ rasa.shared.nlu.constants.TEXT, rasa.shared.nlu.constants.RESPONSE, rasa.shared.nlu.constants.ACTION_TEXT, ] LANGUAGE_MODEL_DOCS = { rasa.shared.nlu.constants.TEXT: "text_language_model_doc", rasa.shared.nlu.constants.RESPONSE: "response_language_model_doc", rasa.shared.nlu.constants.ACTION_TEXT: "action_text_model_doc", } SPACY_DOCS = { rasa.shared.nlu.constants.TEXT: "text_spacy_doc", rasa.shared.nlu.constants.RESPONSE: "response_spacy_doc", rasa.shared.nlu.constants.ACTION_TEXT: "action_text_spacy_doc", } TOKENS_NAMES = { rasa.shared.nlu.constants.TEXT: "text_tokens", rasa.shared.nlu.constants.INTENT: "intent_tokens", rasa.shared.nlu.constants.RESPONSE: "response_tokens", rasa.shared.nlu.constants.ACTION_NAME: "action_name_tokens", rasa.shared.nlu.constants.ACTION_TEXT: "action_text_tokens", rasa.shared.nlu.constants.INTENT_RESPONSE_KEY: "intent_response_key_tokens", } SEQUENCE_FEATURES = "sequence_features" SENTENCE_FEATURES = "sentence_features" RESPONSE_SELECTOR_PROPERTY_NAME = "response_selector" RESPONSE_SELECTOR_RETRIEVAL_INTENTS = "all_retrieval_intents" RESPONSE_SELECTOR_DEFAULT_INTENT = "default" RESPONSE_SELECTOR_PREDICTION_KEY = "response" RESPONSE_SELECTOR_RANKING_KEY = "ranking" RESPONSE_SELECTOR_RESPONSES_KEY = "responses" RESPONSE_SELECTOR_RESPONSE_TEMPLATES_KEY = "response_templates" RESPONSE_SELECTOR_UTTER_ACTION_KEY = "utter_action" RESPONSE_SELECTOR_TEMPLATE_NAME_KEY = "template_name" RESPONSE_IDENTIFIER_DELIMITER = "/" DEFAULT_TRANSFORMER_SIZE = 256 FEATURIZER_CLASS_ALIAS = "alias" NO_LENGTH_RESTRICTION = -1