code: def insert_unique(self, table_name, data, unique_fields=None, *, raise_if_found=False):
          
          return insert_unique(table=self.table(table_name),
                               data=_to_string(data),
                               unique_fields=unique_fields,
                               raise_if_found=raise_if_found)
docs: Insert `data` into `table` ensuring that data has unique values
          in `table` for the fields listed in `unique_fields`.
  
          If `raise_if_found` is True, will raise an NotUniqueItemError if
          another item with the same `unique_fields` values are found
          previously in `table`.
          If False, will return the `eid` from the item found.
  
          Parameters
          ----------
          table_name: str
  
          data: dict
  
          unique_fields: list of str
              Name of fields (keys) from `data` which are going to be used to build
              a sample to look for exactly the same values in the database.
              If None, will use every key in `data`.
  
          raise_if_found: bool
  
          Returns
          -------
          eid: int
              Id of the object inserted or the one found with same `unique_fields`.
  
          Raises
          ------
          MoreThanOneItemError
              Raise even with `raise_with_found` == False if it finds more than one item
              with the same values as the sample.
  
          NotUniqueItemError
              If `raise_if_found` is True and an item with the same `unique_fields`
              values from `data` is found in `table`.