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From: Walter Wefft on 28 Apr 2010 09:34
Alan Ristow wrote:
>
> I would like to have three classes, ClassA, ClassB, and ClassC, that are
> essentially the same, the only difference being that each class has a
> different range of valid values for its properties. Thus, the obvious
> solution is to create a base class, then subclass from that and include
> the required error-checking during initialization and when property
> values change. The base class might look something like this:
[...]
>
> However, instead of rewriting my validation code in several different
> places, I would prefer to write it one time and keep it in one place. I
> can write a function or method that I call each time I need to do
> validation, which is the approach I would take in most languages.
> However, since I am basically writing several small variations on one
> theme, it seems like in Python this might be an ideal application for
> decorators and/or metaclasses.
>
> So my question is, what is the most sensible way to write a set of
> classes such as these in Python? I am not afraid to experiment with
> decorators or metaclasses -- indeed, I would love to learn more about
> them -- but in this particular project I do not want to use them just
> for the sake of learning to use them. If there is a good reason to use
> them, I am all for it, though.
>
> All advice appreciated,
>
> Thanks,
>
> Alan
>

There's probably a number of ways to do it, but Descriptors spring to mind:


class x_validator(object):

def __get__(self, instance, cls):
return instance._x

def __set__(self, instance, val):
if instance.is_valid_x(val):
instance._x = val
else:
raise ValueError("'%s' is an invalid value for 'x'" % val)

class Base(object):

_x = None
x = x_validator()

def __init__(self, x):
self.x = x

class A(Base):

def is_valid_x(self, val):
return val < 10

class B(Base):

def is_valid_x(self, val):
return val > 0


a = A(2)

print(a.x)
print(a._x)

a.x = 12

b = B(-2)


(you might not want to define _x at the class-level).

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