code: def causal_whatif(self, post_data):
      try:
          id, features, feature_name, new_value, target = post_data
          whatif = self._analysis.causal._whatif(
              id,
              self._analysis.get_test_data(
                  test_data=pd.DataFrame.from_records(features)
              ),
              new_value,
              feature_name,
              target,
          )
          return {WidgetRequestResponseConstants.data: whatif}
      except Exception as e:
          print(e)
          traceback.print_exc()
          e_str = _format_exception(e)
          return {
              WidgetRequestResponseConstants.error: "Failed to generate causal what-if,"
              "inner error: {}".format(e_str),
              WidgetRequestResponseConstants.data: [],
          }
  
imports: import traceback
  from typing import List, Optional
  import numpy
  import pandas
  from erroranalysis._internal.constants import display_name_to_metric
  from raiutils.cohort import Cohort, CohortFilter, CohortFilterMethods
  from raiutils.data_processing import convert_to_list, serialize_json_safe
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask, is_classifier
  from raiwidgets.constants import ErrorMessages
  from raiwidgets.error_handling import _format_exception
  from raiwidgets.interfaces import WidgetRequestResponseConstants
  from responsibleai import RAIInsights
  from responsibleai._internal.constants import ManagerNames
label_desc: Use image node_id 9 for calling the ResponsibleAIDashboardInput obj's underlying member method code with example usage: obj.causal_whatif(post_data) and returns: dict, dict