here are 2 methods you can add to your base class:
> def columns_as_dict(self):
> """
> Beware: this function will trigger a load of attributes if they have not
> been loaded yet.
> """
> return dict((col.name, getattr(self, col.name))
> for col
> in sa_class_mapper(self.__class__).mapped_table.c
> )
> def loaded_columns_as_dict(self):
> """
> This function will only return the loaded columns as a dict.
> """
> _dict = self.__dict__
> return {col.name: _dict[col.name]
> for col in sa_class_mapper(self.__class__).mapped_table.c
> if col.name in _dict
> }
>
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
To post example code, please provide an MCVE: Minimal, Complete, and Verifiable
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