text: # -*- coding: utf-8 -*-
  # import project config.py
  """
     Module to prepare the dataset
  """
  import logging
  from pathlib import Path
  from dotenv import find_dotenv, load_dotenv
  import boosting_ai_model.config as cfg
  
  
  def main(input_filepath, output_filepath):
      """ Runs data processing scripts to turn raw data from (../raw) into
          cleaned data ready to be analyzed.
      """
      logger = logging.getLogger(__name__)
      logger.info('making final data set from raw data')
  
  
  if __name__ == '__main__':
      log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
      logging.basicConfig(level=logging.INFO, format=log_fmt)
  
      # not used in this stub but often useful for finding various files
      project_dir = Path(__file__).resolve().parents[2]
  
      # find .env automagically by walking up directories until it's found, then
      # load up the .env entries as environment variables
      load_dotenv(find_dotenv())
  
      main()
  