code: def test_rai_dashboard_input_housing_causal_whatif_success(
      self,
      create_rai_insights_object_regression_with_model,
      create_rai_insights_object_regression_with_predictions,
      with_model,
  ):
      if with_model:
          ri = create_rai_insights_object_regression_with_model
      else:
          ri = create_rai_insights_object_regression_with_predictions
      id = ri.causal.get()[0].id
      causal_whatif_test_data = (
          ri.test.head(1)
          .drop("target", axis=1)
          .to_dict(orient="records")
      )
      treatment_feature = "AveRooms"
      current_treatment_value = [
          causal_whatif_test_data[0][treatment_feature]
      ]
      current_outcome = [ri.test.head(1)["target"].values[0]]
  
      dashboard_input = ResponsibleAIDashboardInput(ri)
      post_data = [
          id,
          causal_whatif_test_data,
          treatment_feature,
          current_treatment_value,
          current_outcome,
      ]
      flask_server_prediction_output = dashboard_input.causal_whatif(
          post_data
      )
  
      self.check_success_criteria(flask_server_prediction_output)
  
file_path: responsible-ai-toolbox/raiwidgets/tests/responsibleai_dashboard/test_responsibleai_dashboard_input_causal.py
imports: import pytest
  from raiwidgets.responsibleai_dashboard_input import ResponsibleAIDashboardInput
  from .common_utils import CheckResponsibleAIDashboardInputTestResult
label_desc: Use image node_id 1 for calling the TestResponsibleAIDashboardInputRegressionCausal obj's underlying member method code with example usage: obj.test_rai_dashboard_input_housing_causal_whatif_success(create_rai_insights_object_regression_with_model, create_rai_insights_object_regression_with_predictions, with_model) without return types