I find it's easy enough to just create new types from existing types to
do the validation. e.g. I created a simple Enum type this way...
class Enum(types.Unicode):
def __init__(self, values, empty_to_none=False):
'''
contruct an Enum type
values : a list of values that are valid for this column
empty_to_none : treat the empty string '' as None
'''
if values is None or len(values) is 0:
raise exceptions.AssertionError('Enum requires a list of
values')
self.empty_to_none = empty_to_none
self.values = values
# the length of the string/unicode column should be the longest
string
# in values
super(Enum, self).__init__(len(max(values)))
def convert_bind_param(self, value, engine):
if self.empty_to_none and value is '':
value = None
if value not in self.values:
raise exceptions.AssertionError('%s not in Enum.values' %
value)
return super(Enum, self).convert_bind_param(value, engine)
def convert_result_value(self, value, engine):
if value not in self.values:
raise exceptions.AssertionError('%s not in Enum.values' %
value)
return super(Enum, self).convert_result_value(value, engine)
On Sat, 2006-07-22 at 13:24 +0200, Julien Cigar wrote:
> SQLAlchemy uses new style classes, so you can use property() with
> set/get methods (like in C#). Also, I think that things like validators
> should not be implemented in an ORM tool, it's the task of the
> programmer. The goal of an ORM is to map tables to classes, not to
> validate fields or other things like that ..
>
> Viktor Kerkez wrote:
> > I've just looked at SqlAlchemy, and liked it, but I'm curious if there
> > is any concept of validators and manipulators similar to those found
> > in Django's ORM, or I have to roll my own?
> >
> > For those not familiar with Django, for every column type Django have
> > predefined validators, also you can define your own and add them to
> > the validators list. Manipulators (simplified) take a mapped object,
> > validate every column and save it, update it or return an appropriate
> > error message...
> >
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