I use: Python 2.6 and sqlalchemy 0.6.1
This is what I am trying to do:
from sqlalchemy.types import (
Integer,
String,
Boolean
)
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class SampleMeta(type):
def __new__(cls, name, bases, attrs):
attrs.update({ 'id': Column('Id', Integer, primary_key=True),
'name': Column('Name', String),
'description': Column('Description', String),
'is_active': Column('IsActive', Boolean)
})
return super(SampleMeta, cls).__new__(cls, name, bases, attrs)
class Sample(Base):
__tablename__ = 'Sample'
__table_args__ = {'useexisting': True}
__metaclass__ = SampleMeta
def __init__(self, id, name, description, is_active):
self.id = id
self.name = name
self.description = description
self.is_active = is_active
def __repr__(self):
return "" % (self.id, self.name, self.description, self.isactive)
And the error I am getting is this:
TypeError: Error when calling the metaclass bases
metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
Now, if I do the same thing above by using
class Sample(object)
instead of
class Sample(Base)
it works absolutely fine.
I need to update the attributes of the class dynamically. So, I will be using dynamic attribute and column names. And I need the above piece code to work in order to be able to get there.
