text: from pathlib import Path
  import pandas as pd
  
  from switch_api.services.PredictiveModel import PredictiveModel
  
  
  class DataModel:
      defaultTrainingData = "./"
      defaultTestingData = "./"
      defaultNewDataDir = "./"
  
      def __init__(self):
          pass
  
      def get_data(self, from_csv: bool = True, csv_fname: Path = None) -> pd.DataFrame:
          if from_csv:
              data = pd.read_csv(Path(DataModel.defaultTrainingData, csv_fname))
          else:
              pass
          return data
  
      def save_model(self, model_name: str) -> Path:
          pass
  
      def load_moadl(self, model_name: str) -> PredictiveModel:
          pass
  