183

可以写类似的东西:

class Test(object):
    def _decorator(self, foo):
        foo()

    @self._decorator
    def bar(self):
        pass

这失败了:@self 中的 self 未知

我也试过:

@Test._decorator(self)

这也失败了:测试未知

我想暂时更改装饰器中的一些实例变量,然后运行装饰方法,然后再将它们更改回来。

4

12 回答 12

315

这样的事情会做你需要的吗?

class Test(object):
    def _decorator(foo):
        def magic( self ) :
            print "start magic"
            foo( self )
            print "end magic"
        return magic

    @_decorator
    def bar( self ) :
        print "normal call"

test = Test()

test.bar()

这避免了调用 self 来访问装饰器,并将其作为常规方法隐藏在类命名空间中。

>>> import stackoverflow
>>> test = stackoverflow.Test()
>>> test.bar()
start magic
normal call
end magic
>>> 

编辑以回答评论中的问题:

如何在另一个类中使用隐藏的装饰器

class Test(object):
    def _decorator(foo):
        def magic( self ) :
            print "start magic"
            foo( self )
            print "end magic"
        return magic

    @_decorator
    def bar( self ) :
        print "normal call"

    _decorator = staticmethod( _decorator )

class TestB( Test ):
    @Test._decorator
    def bar( self ):
        print "override bar in"
        super( TestB, self ).bar()
        print "override bar out"

print "Normal:"
test = Test()
test.bar()
print

print "Inherited:"
b = TestB()
b.bar()
print

输出:

Normal:
start magic
normal call
end magic

Inherited:
start magic
override bar in
start magic
normal call
end magic
override bar out
end magic
于 2009-08-12T01:13:16.843 回答
61

你想做的事情是不可能的。例如,下面的代码看起来是否有效:

class Test(object):

    def _decorator(self, foo):
        foo()

    def bar(self):
        pass
    bar = self._decorator(bar)

当然,它是无效的,因为self当时没有定义。这同样适用Test,因为在定义类本身(正在处理中)之前不会定义它。我向您展示此代码片段,因为这是您的装饰器片段转换为的内容。

因此,如您所见,在装饰器中访问实例实际上是不可能的,因为装饰器是在定义它们所附加的任何函数/方法期间应用的,而不是在实例化期间应用的。

如果您需要类级访问权限,请尝试以下操作:

class Test(object):

    @classmethod
    def _decorator(cls, foo):
        foo()

    def bar(self):
        pass
Test.bar = Test._decorator(Test.bar)
于 2009-08-11T23:33:46.193 回答
31
import functools


class Example:

    def wrapper(func):
        @functools.wraps(func)
        def wrap(self, *args, **kwargs):
            print("inside wrap")
            return func(self, *args, **kwargs)
        return wrap

    @wrapper
    def method(self):
        print("METHOD")

    wrapper = staticmethod(wrapper)


e = Example()
e.method()
于 2016-11-17T12:48:55.423 回答
14

self这是从decorator同一类中定义的内部访问(并已使用)的一种方法:

class Thing(object):
    def __init__(self, name):
        self.name = name

    def debug_name(function):
        def debug_wrapper(*args):
            self = args[0]
            print 'self.name = ' + self.name
            print 'running function {}()'.format(function.__name__)
            function(*args)
            print 'self.name = ' + self.name
        return debug_wrapper

    @debug_name
    def set_name(self, new_name):
        self.name = new_name

输出(在 上测试Python 2.7.10):

>>> a = Thing('A')
>>> a.name
'A'
>>> a.set_name('B')
self.name = A
running function set_name()
self.name = B
>>> a.name
'B'

上面的例子很愚蠢,但它确实有效。

于 2016-06-07T09:43:25.410 回答
7

我在研究一个非常相似的问题时发现了这个问题。我的解决方案是将问题分成两部分。首先,您需要捕获要与类方法关联的数据。在这种情况下,handler_for 会将 Unix 命令与该命令输出的处理程序相关联。

class OutputAnalysis(object):
    "analyze the output of diagnostic commands"
    def handler_for(name):
        "decorator to associate a function with a command"
        def wrapper(func):
            func.handler_for = name
            return func
        return wrapper
    # associate mount_p with 'mount_-p.txt'
    @handler_for('mount -p')
    def mount_p(self, slurped):
        pass

现在我们已经将一些数据与每个类方法相关联,我们需要收集这些数据并将其存储在类属性中。

OutputAnalysis.cmd_handler = {}
for value in OutputAnalysis.__dict__.itervalues():
    try:
        OutputAnalysis.cmd_handler[value.handler_for] = value
    except AttributeError:
        pass
于 2012-01-17T17:48:25.580 回答
7

我在某些调试情况下使用这种类型的装饰器,它允许通过装饰覆盖类属性,而无需找到调用函数。

class myclass(object):
    def __init__(self):
        self.property = "HELLO"

    @adecorator(property="GOODBYE")
    def method(self):
        print self.property

这是装饰器代码

class adecorator (object):
    def __init__ (self, *args, **kwargs):
        # store arguments passed to the decorator
        self.args = args
        self.kwargs = kwargs

    def __call__(self, func):
        def newf(*args, **kwargs):

            #the 'self' for a method function is passed as args[0]
            slf = args[0]

            # replace and store the attributes
            saved = {}
            for k,v in self.kwargs.items():
                if hasattr(slf, k):
                    saved[k] = getattr(slf,k)
                    setattr(slf, k, v)

            # call the method
            ret = func(*args, **kwargs)

            #put things back
            for k,v in saved.items():
                setattr(slf, k, v)

            return ret
        newf.__doc__ = func.__doc__
        return newf 

注意:因为我使用了类装饰器,所以您需要使用带有括号的 @adecorator() 来装饰函数,即使您没有将任何参数传递给装饰器类构造函数。

于 2012-08-20T09:13:09.953 回答
6

这是对迈克尔·斯皮尔(Michael Speer)的回答的扩展,可以更进一步:

一个实例方法装饰器,它接受参数并作用于带有参数和返回值的函数。

class Test(object):
    "Prints if x == y. Throws an error otherwise."
    def __init__(self, x):
        self.x = x

    def _outer_decorator(y):
        def _decorator(foo):
            def magic(self, *args, **kwargs) :
                print("start magic")
                if self.x == y:
                    return foo(self, *args, **kwargs)
                else:
                    raise ValueError("x ({}) != y ({})".format(self.x, y))
                print("end magic")
            return magic

        return _decorator

    @_outer_decorator(y=3)
    def bar(self, *args, **kwargs) :
        print("normal call")
        print("args: {}".format(args))
        print("kwargs: {}".format(kwargs))

        return 27

进而

In [2]:

    test = Test(3)
    test.bar(
        13,
        'Test',
        q=9,
        lollipop=[1,2,3]
    )
    ​
    start magic
    normal call
    args: (13, 'Test')
    kwargs: {'q': 9, 'lollipop': [1, 2, 3]}
Out[2]:
    27
In [3]:

    test = Test(4)
    test.bar(
        13,
        'Test',
        q=9,
        lollipop=[1,2,3]
    )
    ​
    start magic
    ---------------------------------------------------------------------------
    ValueError                                Traceback (most recent call last)
    <ipython-input-3-576146b3d37e> in <module>()
          4     'Test',
          5     q=9,
    ----> 6     lollipop=[1,2,3]
          7 )

    <ipython-input-1-428f22ac6c9b> in magic(self, *args, **kwargs)
         11                     return foo(self, *args, **kwargs)
         12                 else:
    ---> 13                     raise ValueError("x ({}) != y ({})".format(self.x, y))
         14                 print("end magic")
         15             return magic

    ValueError: x (4) != y (3)
于 2017-08-09T23:57:11.953 回答
5

简单的方法来做到这一点。您只需将装饰器方法放在类之外。你仍然可以在里面使用它。

def my_decorator(func):
    #this is the key line. There's the aditional self parameter
    def wrap(self, *args, **kwargs):
        # you can use self here as if you were inside the class
        return func(self, *args, **kwargs)
    return wrap

class Test(object):
    @my_decorator
    def bar(self):
        pass
于 2020-12-04T22:35:22.863 回答
4

在内部类中声明。该解决方案非常可靠,值得推荐。

class Test(object):
    class Decorators(object):
    @staticmethod
    def decorator(foo):
        def magic(self, *args, **kwargs) :
            print("start magic")
            foo(self, *args, **kwargs)
            print("end magic")
        return magic

    @Decorators.decorator
    def bar( self ) :
        print("normal call")

test = Test()

test.bar()

结果:

>>> test = Test()
>>> test.bar()
start magic
normal call
end magic
>>> 
于 2019-11-12T09:06:58.307 回答
3

与通常取决于实例属性的对象方法的功能相比,装饰器似乎更适合修改整个对象(包括函数对象)的功能。例如:

def mod_bar(cls):
    # returns modified class

    def decorate(fcn):
        # returns decorated function

        def new_fcn(self):
            print self.start_str
            print fcn(self)
            print self.end_str

        return new_fcn

    cls.bar = decorate(cls.bar)
    return cls

@mod_bar
class Test(object):
    def __init__(self):
        self.start_str = "starting dec"
        self.end_str = "ending dec" 

    def bar(self):
        return "bar"

输出是:

>>> import Test
>>> a = Test()
>>> a.bar()
starting dec
bar
ending dec
于 2013-08-27T02:22:25.257 回答
2

我有一个可能有帮助的装饰器实现

    import functools
    import datetime


    class Decorator(object):

        def __init__(self):
            pass


        def execution_time(func):

            @functools.wraps(func)
            def wrap(self, *args, **kwargs):

                """ Wrapper Function """

                start = datetime.datetime.now()
                Tem = func(self, *args, **kwargs)
                end = datetime.datetime.now()
                print("Exection Time:{}".format(end-start))
                return Tem

            return wrap


    class Test(Decorator):

        def __init__(self):
            self._MethodName = Test.funca.__name__

        @Decorator.execution_time
        def funca(self):
            print("Running Function : {}".format(self._MethodName))
            return True


    if __name__ == "__main__":
        obj = Test()
        data = obj.funca()
        print(data)
于 2019-10-02T17:16:33.003 回答
1

你可以装饰装饰器:

import decorator

class Test(object):
    @decorator.decorator
    def _decorator(foo, self):
        foo(self)

    @_decorator
    def bar(self):
        pass
于 2014-08-13T15:37:39.170 回答