What is Python's equivalent of Ruby's method_missing
method? I tried using __getattr__
but this hook applies to fields too. I only want to intercept the method invocations. What is the Python way to do it?
问题:
回答1:
There is no difference in Python between properties and methods. A method is just a property, whose type is just instancemethod
, that happens to be callable (supports __call__
).
If you want to implement this, your __getattr__
method should return a function (a lambda
or a regular def
, whatever suite your needs) and maybe check something after the call.
回答2:
Python doesn't distinguish between methods and attributes (a.k.a. "instance variables") the way Ruby does. Methods and other object attributes are looked up in exactly the same way in Python -- not even Python knows the difference at the look-up stage. Until the attribute is found, it's just a string.
So if you're asking for a way to ensure that __getattr__
is only called for methods, I'm afraid you probably won't find an elegant solution. But it's easy enough to simply return a function (or even a brand-new dynamically bound method) from __getattr__
.
回答3:
You could implement a missing_method like feature in the below way:
https://gist.github.com/gterzian/6400170
import unittest
from functools import partial
class MethodMissing:
def method_missing(self, name, *args, **kwargs):
'''please implement'''
raise NotImplementedError('please implement a "method_missing" method')
def __getattr__(self, name):
return partial(self.method_missing, name)
class Wrapper(object, MethodMissing):
def __init__(self, item):
self.item = item
def method_missing(self, name, *args, **kwargs):
if name in dir(self.item):
method = getattr(self.item, name)
if callable(method):
return method(*args, **kwargs)
else:
raise AttributeError(' %s has not method named "%s" ' % (self.item, name))
class Item(object):
def __init__(self, name):
self.name = name
def test(self, string):
return string + ' was passed on'
class EmptyWrapper(object, MethodMissing):
'''not implementing a missing_method'''
pass
class TestWrapper(unittest.TestCase):
def setUp(self):
self.item = Item('test')
self.wrapper = Wrapper(self.item)
self.empty_wrapper = EmptyWrapper()
def test_proxy_method_call(self):
string = self.wrapper.test('message')
self.assertEqual(string, 'message was passed on')
def test_normal_attribute_not_proxied(self, ):
with self.assertRaises(AttributeError):
self.wrapper.name
self.wrapper.name()
def test_empty_wrapper_raises_error(self, ):
with self.assertRaises(NotImplementedError):
self.empty_wrapper.test('message')
if __name__ == '__main__':
unittest.main()
回答4:
Although I don't recommend it!!!!!!!!!!!!!!!!!!!!!
this sort of comes closer to implementing the behavior of calling the special method for every name that does not correspond to a callable attribute/method. Of course they still don't really have separate namespaces so it may feel a bit weird. It works by overriding __getattribute__
which works at a lower level then __getattr__
it tries to fetch an attribute if it fails it returns a curried special method to call with the name you called it with, if it succeeds it passes it on if its callable otherwise it
wraps the result with a proxy object which acts in almost exactly the same way afterwards except it implements call with your special method.
It doesn't allow you to access the calling object because I couldn't think of a good way to do that without sort of leaking memory(the calling object) if it's already a non-callable attribute which you store(the only think I can think of is to start a new thread that deletes it after a minute, by then you have presumably called it unless you are using it in a closure which wouldn't be supported in that case).
Edit: I forgot callable may have some false positives.
depends on the http://pypi.python.org/pypi/ProxyTypes library
from peak.util.proxies import ObjectWrapper
from functools import partial
def m(name, *args, **kwargs):
print(name,repr(args),repr(kwargs))
class CallProxy(ObjectWrapper):
def __init__(self, obj, m, method_name):
ObjectWrapper.__init__(self, obj)
object.__setattr__(self, "_method_name", method_name)
object.__setattr__(self, "_m", m)
def __call__(self, *args, **kwargs):
return self._m(self._method_name, *args,**kwargs)
class Y(object):
def __init__(self):
self.x = [3]
def __getattribute__(self, name):
try:
val = object.__getattribute__(self, name)
if not callable(val):
return CallProxy(val, m, name)
else:
return val
except AttributeError:
return partial(m, name)
In [2]: y=Y()
In [3]: y.x
Out[3]: [3]
In [4]: y.z
Out[4]: <functools.partial at 0x2667890>
In [5]: y.zz([12])
('zz', '([12],)', '{}')
In [6]: y.x.append(5)
In [7]: y.x
Out[7]: [3, 5]
In [8]: y.x(1,2,3,key="no")
('x', '(2, 3)', "{'key': 'no'}")