code: def edit_json_ai(self, name: str, json_ai: dict):
      predictor_record = get_model_record(
          name=name, ml_handler_name="lightwood"
      )
      assert predictor_record is not None
  
      json_ai = lightwood.JsonAI.from_dict(json_ai)
      predictor_record.code = lightwood.code_from_json_ai(json_ai)
      db.session.commit()
  
      json_storage = get_json_storage(resource_id=predictor_record.id)
      json_storage.set("json_ai", json_ai.to_dict())
  
imports: import copy
  import json
  import sys
  from datetime import datetime
  from functools import lru_cache
  from typing import Dict, Optional
  import lightwood
  import numpy
  import pandas
  from type_infer.dtype import dtype
  import mindsdb.interfaces.storage.db
  import mindsdb.utilities.profiler
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.interfaces.model.functions import get_model_record
  from mindsdb.interfaces.storage.json import get_json_storage
  from mindsdb.utilities.functions import cast_row_types
  from .functions import run_finetune, run_learn
label_desc: Use image node_id 6 for calling the LightwoodHandler obj's underlying member method code with example usage: obj.edit_json_ai(name, json_ai) without return types