类型为A的对象,有没有用程序包装类对象的方法?
给定
class A(object):
def __init__(self):
## ..
def f0(self, a):
## ...
def f1(self, a, b):
## ..
我想要另一个包装A的类,比如
class B(object):
def __init__(self):
self.a = A()
def f0(self,a):
try:
a.f0(a)
except (Exception),ex:
## ...
def f1(self, a, b):
try:
a.f1(a,b)
except (Exception),ex:
## ...
有没有办法创建CCD_ 1&B.f1
通过反射/检查类别A
?
如果您想通过调用预定义类A
上的函数来创建类B
,您可以简单地使用如下函数wrap_class
来创建B = wrap_class(A)
:
import copy
def wrap_class(cls):
'Wraps a class so that exceptions in its methods are caught.'
# The copy is necessary so that mutable class attributes are not
# shared between the old class cls and the new class:
new_cls = copy.deepcopy(cls)
# vars() is used instead of dir() so that the attributes of base classes
# are not modified, but one might want to use dir() instead:
for (attr_name, value) in vars(cls).items():
if isinstance(value, types.FunctionType):
setattr(new_cls, attr_name, func_wrapper(value))
return new_cls
B = wrap_class(A)
正如于尔根所指出的,这创建了类的副本;然而,如果您真的想保留原来的类A
(就像原来的问题中建议的那样(,则只需要这样做。如果你不关心A
,你可以简单地用一个不执行任何复制的包装器来装饰它,比如:
def wrap_class(cls):
'Wraps a class so that exceptions in its methods are caught.'
# vars() is used instead of dir() so that the attributes of base classes
# are not modified, but one might want to use dir() instead:
for (attr_name, value) in vars(cls).items():
if isinstance(value, types.FunctionType):
setattr(cls, attr_name, func_wrapper(value))
return cls
@wrap_class
class A(object):
… # Original A class, with methods that are not wrapped with exception catching
装饰类B.f0
0捕获异常。
元类版本更重,但其原理类似:
import types
def func_wrapper(f):
'Returns a version of function f that prints an error message if an exception is raised.'
def wrapped_f(*args, **kwargs):
try:
return f(*args, **kwargs)
except Exception, ex:
print "Function", f, "raised", ex
return wrapped_f
class ExceptionCatcher(type):
'Metaclass that wraps methods with func_wrapper().'
def __new__(meta, cname, bases, cdict):
# cdict contains the attributes of class cname:
for (attr_name, value) in cdict.items():
if isinstance(value, types.FunctionType): # Various attribute types can be wrapped differently
cdict[attr_name] = func_wrapper(value)
return super(meta, ExceptionCatcher).__new__(meta, cname, bases, cdict)
class B(object):
__metaclass__ = ExceptionCatcher # ExceptionCatcher will be used for creating class A
class_attr = 42 # Will not be wrapped
def __init__(self):
pass
def f0(self, a):
return a*10
def f1(self, a, b):
1/0 # Raises a division by zero exception!
# Test:
b = B()
print b.f0(3.14)
print b.class_attr
print b.f1(2, 3)
此打印:
31.4
42
Function <function f1 at 0x107812d70> raised integer division or modulo by zero
None
事实上,您想要做的通常是由元类完成的,元类是一个实例为类的类:这是一种基于解析的Python代码(问题中A
类的代码(动态构建B
类的方法。关于这方面的更多信息可以在Chris的Wiki中(在第1部分和第2-4部分(对元类的简短描述中找到。
元类是一种选择,但通常很难理解。太多的反思也是如此如果在简单的情况下不需要,因为很容易捕获太多(内部(函数。如果封装的函数是一个稳定的已知集合,并且B可能获得其他函数,则可以逐个函数显式委托,并且仍然将错误处理代码保存在一个位置:
class B(object):
def __init__(self):
a = A()
self.f0 = errorHandler(a.f0)
self.f1 = errorHandler(a.f1)
如果赋值很多,可以使用getattr/setattr在循环中进行赋值。
errorhandler函数需要返回一个函数,该函数用错误处理代码。
def errorHandler(f):
def wrapped(*args, **kw):
try:
return f(*args, **kw)
except:
# log or something
return wrapped
您还可以在未委托给A实例的新函数上使用errorhandler作为decorator。
def B(A):
...
@errorHandler
def f_new(self):
...
这个解决方案使B保持简单,并且它非常清楚地表明了发生了什么。
你可以用__getattr__
:试试它的老派
class B(object):
def __init__(self):
self.a = A()
def __getattr__(self, name):
a_method = getattr(a, name, None)
if not callable(a_method):
raise AttributeError("Unknown attribute %r" % name)
def wrapper(*args, **kwargs):
try:
return a_method(*args, **kwargs)
except Exception, ex:
# ...
return wrapper
或者更新B
的格言:
class B(object):
def __init__(self):
a = A()
for attr_name in dir(a):
attr = getattr(a, attr_name)
if callable(attr):
def wrapper(*args, **kwargs):
try:
return attr(*args, **kwargs)
except Exception, ex:
# ...
setattr(self, attr_name, wrapper) # or try self.__dict__[x] = y