code: def config_json_converter(obj):
      """Helper function to convert ErrorAnalysisConfig object to json.
  
      :param obj: Object to convert to json.
      :type obj: object
      :return: The converted json.
      :rtype: dict
      """
      if isinstance(obj, ErrorAnalysisConfig):
          return obj.__dict__
      try:
          return obj.to_json()
      except AttributeError:
          return obj.__dict__
  
imports: import json
  import warnings
  from pathlib import Path
  from typing import Any, List, Optional
  import jsonschema
  import pandas
  from erroranalysis._internal.constants import metric_to_display_name
  from erroranalysis._internal.error_analyzer import ModelAnalyzer
  from erroranalysis._internal.error_report import as_error_report
  from erroranalysis._internal.error_report import json_converter
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask
  from responsibleai._config.base_config import BaseConfig
  from responsibleai._interfaces import ErrorAnalysisData
  from responsibleai._internal.constants import ErrorAnalysisManagerKeys
  from responsibleai._internal.constants import FileFormats, ListProperties, ManagerNames
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.exceptions import ConfigAndResultMismatchException, DuplicateManagerConfigException
  from responsibleai.managers.base_manager import BaseManager
  from responsibleai.utils import _find_features_having_missing_values, _measure_time
label_desc: Use image node_id 1 for calling a global function with example usage: config_json_converter(obj) and returns: obj, obj, obj