content: #  Copyright (c) ZenML GmbH 2022. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  from typing import Tuple
  
  import pandas as pd
  import whylogs as why
  from sklearn import datasets
  from typing_extensions import Annotated
  from whylogs.core import DatasetProfileView  # type: ignore[import]
  
  from zenml import step
  from zenml.integrations.whylogs.flavors.whylogs_data_validator_flavor import (
      WhylogsDataValidatorSettings,
  )
  
  
  @step(
      settings={
          "data_validator.whylogs": WhylogsDataValidatorSettings(
              enable_whylabs=True, dataset_id="model-1"
          )
      }
  )
  def data_loader() -> Tuple[
      Annotated[pd.DataFrame, "data"],
      Annotated[DatasetProfileView, "profile"],
  ]:
      """Load the diabetes dataset."""
      X, y = datasets.load_diabetes(return_X_y=True, as_frame=True)
  
      # merge X and y together
      df = pd.merge(X, y, left_index=True, right_index=True)
  
      profile = why.log(pandas=df).profile().view()
      return df, profile
  