code: def store(self, store_item):
          
          required_keys = {"type": str, "timestamp": float}
          
          if not isinstance(store_item, dict):
              raise TypeError("The stored item should be a dict")
             
          for k, v in required_keys.items(): 
              if k not in store_item:
                  raise AttributeError("{} is not available. Please add it.".format(k))
              
              if not isinstance(store_item[k], v):
                  raise TypeError("{} is not a {}. Please change it. ".format(k, v))
                  #       
  #         # TODO: CREATE FILTER FOR PERSISTENCE METHOD. Make sure it has the necessary data
  #         to_store = {'field1': thing.field1,
  #                     'date_field': thing.date_field,
  #                     }
  #         to_store['stuff'] = Binary(cPickle.dumps(thing.stuff))
          # Respect any soft-quota on write - raises if stats().totals.size > quota 
          self._arctic_lib.check_quota()
          self._collection.update(store_item, store_item, upsert=True)
docs: Store for tweets and user information. Must have all required information and types