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
  from neuralprophet import NeuralProphet
  from typing_extensions import Annotated
  
  from zenml import step
  
  DATA_LOCATION = "https://raw.githubusercontent.com/ourownstory/neuralprophet-data/main/datasets/"
  
  
  @step
  def data_loader() -> Tuple[
      Annotated[pd.DataFrame, "df_train"], Annotated[pd.DataFrame, "df_test"]
  ]:
      """Return the renewable energy dataset as pandas dataframes."""
      sf_pv_df = pd.read_csv(DATA_LOCATION + "energy/SF_PV.csv", nrows=100)
      df_train, df_test = NeuralProphet().split_df(
          sf_pv_df, freq="H", valid_p=1.0 / 12
      )
      return df_train, df_test
  