text: 
  from sklearn.externals import joblib
  from data.persistence import *
  import uuid
  
  class MlObject:
      object_id = None
      file_path = None
  
      @classmethod
      def create_MlObject_by_obj(cls, obj):
          ml_obj = MlObject()
          collection = client[database_name][object_db_name]
          ml_obj.object_id = str(uuid.uuid1())
          obj_path = objectstorage + ml_obj.object_id
          ml_obj.file_path = obj_path
          joblib.dump(obj, ml_obj.file_path) 
          collection.insert({'object_id' : ml_obj.object_id, 'file_path':ml_obj.file_path })
          return ml_obj   
  
      @classmethod
      def get_MlObject_by_obj(cls, obj_id):
          collection = client[database_name][object_db_name]
          ml_object_db_info = collection.find_one({'object_id':obj_id})
          if ml_object_db_info:
              ml_obj = MlObject()
              ml_obj.object_id = ml_object_db_info['object_id']
              ml_obj.file_path = ml_object_db_info['file_path']
              clf = joblib.load(ml_obj.file_path) 
              return ml_obj,clf
          else:
              raise Exception('invalid source_id')
  
      @classmethod
      def save_MlObject_by_obj_id(cls, obj, obj_id):
          collection = client[database_name][object_db_name]
          ml_object_db_info = collection.find_one({'object_id':obj_id})
          if ml_object_db_info:
              ml_obj = MlObject()
              joblib.dump(obj, ml_object_db_info['file_path']) 
          else:
              raise Exception('invalid source_id')    