class_docstr: Emulates the response format of this wit.ai endpoint.
  
  More information about the endpoint:
  https://wit.ai/docs/http/20200513/#get__message_link
docstr: Transform response JSON to wit.ai format.
  
  Args:
      data: input JSON data as a dictionary.
  
  Returns:
      The transformed input data.
docstr_tok: ["Transform","response","JSON","to","wit.ai","format",".","Args",":","data",":","input","JSON","data","as","a","dictionary",".","Returns",":","The","transformed","input","data","."]
code: def normalise_response_json(
      self, data: Dict[Text, Any]
  ) -> Dict[Text, Any]:
      """Transform response JSON to wit.ai format.
  
      Args:
          data: input JSON data as a dictionary.
  
      Returns:
          The transformed input data.
      """
      entities = defaultdict(list)
      for entity in data[ENTITIES]:
          entity_name = entity[ENTITY_ATTRIBUTE_TYPE]
          role = entity.get(ENTITY_ATTRIBUTE_ROLE, entity_name)
          entity_name_including_role = (
              f"{entity[ENTITY_ATTRIBUTE_TYPE]}:{role}"
          )
          normalized_entity: Dict[Text, Any] = {
              "confidence": entity.get("confidence_entity") or 1,
              "name": entity_name,
              "value": entity[ENTITY_ATTRIBUTE_VALUE],
              # Entity value before value was transformed (e.g. by synonym mapper)
              "body": data["text"][
                  entity.get(ENTITY_ATTRIBUTE_START, 0) : entity.get(
                      ENTITY_ATTRIBUTE_END, 0
                  )
              ],
              "start": entity[ENTITY_ATTRIBUTE_START],
              "end": entity[ENTITY_ATTRIBUTE_END],
              "role": role,
              "entities": [],
          }
  
          entities[entity_name_including_role].append(normalized_entity)
  
      return {
          "text": data[TEXT],
          "intents": [data[INTENT]],
          "entities": entities,
      }
  
imports: from collections import defaultdict
  from typing import Any, Dict, Text
  from rasa.nlu.emulators.emulator import Emulator
  from rasa.shared.nlu.constants import ENTITIES, ENTITY_ATTRIBUTE_TYPE, ENTITY_ATTRIBUTE_ROLE, ENTITY_ATTRIBUTE_VALUE, ENTITY_ATTRIBUTE_END, ENTITY_ATTRIBUTE_START, TEXT, INTENT
label_desc: Use image node_id 1 for calling the WitEmulator obj's underlying member method code with example usage: obj.normalise_response_json(data) and returns: dict