My employers have a custom Python type (derived from datetime) for dealing with dates and datetimes.Let's call it 'BananaDate'. They would like BananaDate be used by SQL Alchemy. The standard way of doing this appears to be with a TypeDecorator:
class BananaDate(types.TypeDecorator): from banana.date import Date impl = types.Date def process_result_value(self, value, dialect): return banana(value) I understand that the Column definitions would change from: Column('first_reset_dt', DateTime, nullable=True) to Column('first_reset_dt', BananaDate, nullable=True) These seems to imply that I have to explicitly change the models (and I would prefer not to do that) Is there some neat 'hook-based' approach that would allow me to leave the metadata models intact and yet work with BananaDates? Would it be very rude to monkey-patch the relevent base types in sqlalchemy.types with new definition of process_result_value? pjjH --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to sqlalchemy+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~----------~----~----~----~------~----~------~--~---