text: import pandas as pd
  from .crud import contextual_session
  from .export_ingestion import insert_dataframe_ignore_duplicates
  from .models import (
      CronometerNote,
      CronometerDailySummary,
      CronometerExercise,
      CronometerServing,
      CronometerBiometric,
  )
  
  
  def snake_case_cronometer_column_name(column_name):
      column_name = column_name.replace(
          ') (',
          '_',
      )
      column_name = column_name.replace(
          ' (',
          '_',
      )
      column_name = column_name.replace(
          ')',
          '',
      )
      column_name = column_name.replace(
          ' ',
          '_',
      )
      column_name = column_name.replace(
          '-',
          '_',
      )
      column_name = column_name.replace(
          'µ',
          'u',
      )
      column_name = column_name.lower()
      return column_name
  
  class CronometerDataLoader(object):
      def __init__(self, user, session, export_directory):
          self.user = user
          self.session = session
          self.export_directory = export_directory
          self.export_types = [
              'exercise',
              'biometric',
              'serving',
              'note',
              'daily_summary',
          ]
          self.export_models = {
              'exercise': CronometerExercise,
              'biometric': CronometerBiometric,
              'serving': CronometerServing,
              'note': CronometerNote,
              'daily_summary': CronometerDailySummary,
          }
          self.export_filenames = {
              'exercise': 'exercises.csv',
              'biometric': 'biometrics.csv',
              'serving': 'servings.csv',
              'note': 'notes.csv',
              'daily_summary': 'dailySummary.csv',
          }
  
  
      def load_exports_into_database(self):
          for export in self.export_types:
              export_filepath = self.export_directory / self.export_filenames[export]
              export_data = pd.read_csv(export_filepath)
              export_data['app_user_id'] = self.user.id
  
              """Rename the columns so that they match the model/table's column names"""
              column_names = export_data.columns.values.tolist()
              column_rename_map = {
                  name: snake_case_cronometer_column_name(name)
                  for name in column_names
              }
              export_data = export_data.rename(columns=column_rename_map)
              
              insert_dataframe_ignore_duplicates(
                  export_data,
                  self.export_models[export],
              )
  