I ran into the need of monkeypatching a large number of classes (for
what I think are very good reasons :-) and invented two new recipes.
These don't depend on Py3k, and the second one actually works all the
way back to Python 2.2. Neither of these allows monkeypatching
built-in types like list. If you don't know what monkeypatching is,
see see http://en.wikipedia.org/wiki/Monkey_patch.
I think it's useful to share these recipes, if only to to establish
whether they have been discovered before, or to decide whether they
are worthy of a place in the standard library. I didn't find any
relevant hits on the ASPN Python cookbook.
First, a decorator to add a single method to an existing class:
def monkeypatch_method(cls):
def decorator(func):
setattr(cls, func.__name__, func)
return func
return decorator
To use:
from <somewhere> import <someclass>
@monkeypatch_method(<someclass>)
def <newmethod>(self, args):
return <whatever>
This adds <newmethod> to <someclass>
Second, a "metaclass" to add a number of methods (or other attributes)
to an existing class, using a convenient class notation:
def monkeypatch_class(name, bases, namespace):
assert len(bases) == 1, "Exactly one base class required"
base = bases[0]
for name, value in namespace.iteritems():
if name != "__metaclass__":
setattr(base, name, value)
return base
To use:
from <somewhere> import <someclass>
class <newclass>(<someclass>):
__metaclass__ = monkeypatch_class
def <method1>(...): ...
def <method2>(...): ...
...
This adds <method1>, <method2>, etc. to <someclass>, and makes
<newclass> a local alias for <someclass>.
--
--Guido van Rossum (home page: http://www.python.org/~guido/)
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