2e733ebeab730dd7f789ecbeedea5468c73432da,ner_v1/chatbot/entity_detection.py,,get_pnr,#Any#Any#Any#Any#Any#,499

Before Change

    

    pnr_detection = PNRDetector(entity_name=entity_name)
    if structured_value:
        entity_list, original_text_list = pnr_detection.detect_entity(text=structured_value)
        if entity_list:
            return output_entity_dict_list(entity_list, original_text_list, FROM_STRUCTURE_VALUE_VERIFIED)
        else:
            return output_entity_dict_list([structured_value], [structured_value], FROM_STRUCTURE_VALUE_NOT_VERIFIED)
    else:
        entity_list, original_text_list = pnr_detection.detect_entity(text=message)
        if entity_list:
            return output_entity_dict_list(entity_list, original_text_list, FROM_MESSAGE)
        elif fallback_value:
            return output_entity_dict_list([fallback_value], [fallback_value], FROM_FALLBACK_VALUE)

    return None


def get_regex(message, entity_name, structured_value, fallback_value, bot_message, pattern):
    Use RegexDetector to detect text that abide by the specified

After Change

    

    pnr_detection = PNRDetector(entity_name=entity_name)
    return pnr_detection.detect(message=message, structured_value=structured_value, fallback_value=fallback_value,
                                bot_message=bot_message)


def get_regex(message, entity_name, structured_value, fallback_value, bot_message, pattern):
    Use RegexDetector to detect text that abide by the specified

Instances