Python 是否可以在基类中定义的装饰器生成的子类中检索值?
我有一个子类方法,我想有条件地短路。我试图做的是类似这样的事情,只是我想把验证逻辑放到基类中Python 是否可以在基类中定义的装饰器生成的子类中检索值?,python,decorator,Python,Decorator,我有一个子类方法,我想有条件地短路。我试图做的是类似这样的事情,只是我想把验证逻辑放到基类中 class BaseClass(object): def getvalue(self): return True def validate(self): validated = self.getvalue() return validated class ExtendedClass1(BaseClass): def do_some
class BaseClass(object):
def getvalue(self):
return True
def validate(self):
validated = self.getvalue()
return validated
class ExtendedClass1(BaseClass):
def do_some_work(self):
validated = self.validate()
if not validated:
print "Not validated."
return
print "Things are validated if the method got this far.", validated
class ExtendedClass2(BaseClass):
def do_some_work(self):
validated = self.validate()
if not validated:
print "Not validated."
return
print "Things are validated if the method got this far.", validated
class ExtendedClass3(BaseClass):
def do_some_work(self):
print "This one doesn't require validation."
work1 = ExtendedClass1()
work1.do_some_work()
work2 = ExtendedClass2()
work2.do_some_work()
work3 = ExtendedClass3()
work3.do_some_work()
在下面的示例中,我能够将一些重复的代码转换为装饰器模式
class BaseClass(object):
def validate(input_function):
def wrapper(*args,**kwargs):
validated = True
if not validated:
print "Not validated."
return
input_function(*args, **kwargs)
return wrapper
validate = staticmethod(validate)
class ExtendedClass1(BaseClass):
@BaseClass.validate
def do_some_work(self):
print "Things are validated if the method got this far."
class ExtendedClass2(BaseClass):
@BaseClass.validate
def do_some_work(self):
print "Things are validated if the method got this far."
class ExtendedClass3(BaseClass):
def do_some_work(self):
print "This one doesn't require validation."
work1 = ExtendedClass1()
work1.do_some_work()
work2 = ExtendedClass2()
work2.do_some_work()
work3 = ExtendedClass3()
work3.do_some_work()
但是,我需要在decorator中调用基类的方法来执行验证工作,并在子类中检索(validated)的值。在这个示例之后,我修改了decorator,试图让它调用self.getvalue()。此时它不会出错,但也不起作用,因为self.getvalue()不会返回True。这看起来似乎比它的价值更麻烦,但现在我很好奇这是否可能
class BaseClass(object):
def getvalue(self):
return True
def validate(self):
def wrap(input_function):
def wrapper(*args,**kwargs):
validated = self.getvalue()
if not validated:
print "Not validated."
return
input_function(*args, **kwargs)
return wrapper
return wrap
validate = staticmethod(validate)
class ExtendedClass1(BaseClass):
@BaseClass.validate
def do_some_work(self):
print "Things are validated if the method got this far."#, validated
class ExtendedClass2(BaseClass):
@BaseClass.validate
def do_some_work(self):
print "Things are validated if the method got this far."#, validated
class ExtendedClass3(BaseClass):
def do_some_work(self):
print "This one doesn't require validation."
work1 = ExtendedClass1()
work1.do_some_work()
work2 = ExtendedClass2()
work2.do_some_work()
work3 = ExtendedClass3()
work3.do_some_work()
是否可以使用decorator设置一个属性,然后在以后检索它
...
self.validated = True
if not self.validated:
print "Not validated."
return
...
print work1.validated
...
AttributeError: 'ExtendedClass1' object has no attribute 'validated'
从本质上讲,我想把这个转变为:
class ExtendedClass1(BaseClass):
def do_some_work(self):
validated = self.validate()
if not validated:
print "Not validated."
return
print "Things are validated if the method got this far.", validated
为此:
class ExtendedClass1(BaseClass):
@BaseClass.validate
def do_some_work(self):
print "Things are validated if the method got this far.", validated
使用Zaur Nasibov发布的建议,这个例子满足了我的用例。我仍然有兴趣知道@validate是否可以作为一种方法而不是一个独立的函数来实现,但这就完成了工作
class BaseClass(object):
def getvalue(self):
return True
def validate(func):
def wrapped(self, *args, **kwargs):
validated = self.getvalue()
self.validated = validated
if not validated:
print "Not validated."
return
func(self, *args, **kwargs)
return wrapped
class ExtendedClass1(BaseClass):
@validate
def do_some_work(self,input):
print "Things are validated if the method got this far.", self.validated, input
class ExtendedClass2(BaseClass):
@validate
def do_some_work(self):
print "Things are validated if the method got this far.", self.validated
class ExtendedClass3(BaseClass):
def do_some_work(self):
print "This one doesn't require validation."#, self.validated
work1 = ExtendedClass1()
work1.do_some_work(input="some text")
work2 = ExtendedClass2()
work2.do_some_work()
work3 = ExtendedClass3()
work3.do_some_work()
@tponthieux,您可以做的是设置被调用函数(方法)的属性,然后检索它: 简单示例(已更新)):
如果装饰方法已经过验证,那么只调用它如何?如果愿意,可以传递
validate
方法的返回值:
class BaseClass(object):
def getvalue(self):
return True
def validate(input_function):
def wrapper(self, *args, **kwargs):
self.validated = self.getvalue()
if not self.validated:
print "Not validated."
return
input_function(self, validated=self.validated, *args, **kwargs)
return wrapper
validate = staticmethod(validate)
class ExtendedClass1(BaseClass):
@BaseClass.validate
def do_some_work(self, validated=None):
print "Things are validated if the method got this far.", validated
class ExtendedClass2(BaseClass):
@BaseClass.validate
def do_some_work(self, validated=None):
print "Things are validated if the method got this far.", validated
class ExtendedClass3(BaseClass):
def do_some_work(self):
print "This one doesn't require validation."
work1 = ExtendedClass1()
work1.do_some_work()
work2 = ExtendedClass2()
work2.do_some_work()
work3 = ExtendedClass3()
work3.do_some_work()
这里的关键是将self
添加到wrapper
函数中。所发生的情况是,您的修饰函数没有绑定到实例(并成为方法),而是由修饰器返回的函数(wrapper
,在上面的示例中)得到绑定。因此,此函数将在调用时获得传入的self
(实例)参数!重要的是要记住,@decorator
所做的只是调用decorator
传入要修饰的函数,然后用decorator返回的任何函数替换要修饰的函数。在您的示例中,这是包装器
,对于类来说,这与装饰之前的原始函数没有区别
在上面的示例中,我明确声明了self
。如果没有,我们也可以从args
中获取它:
def validate(input_function):
def wrapper(*args, **kwargs):
print "args[0] is now the instance (conventionally called 'self')", args[0]
self = args[0]
self.validated = self.getvalue()
if not self.validated:
print "Not validated."
return
input_function(validated=self.validated, *args, **kwargs)
还要注意,我们将一个额外的关键字参数传递给wrapped方法,名为
validated
。这是完全可选的,您可以从示例中删除validated=self.validated
和validated=None
部分 这看起来很有希望,但我不确定如何让decorator代码访问基类的getvalue()方法。有人想把这个技巧运用到问题示例中吗?好吧,另一个示例:)但我认为这个肯定会对你有所帮助。你永远不会调用包装的func
,你只会从包装中返回它。这不会给您带来预期的结果;-)我想你对那里的*args
和**kwargs
感到困惑。您需要传递它们才能使用这些属性。我不完全确定您的答案是否符合OP的要求,但至少代码现在在语法上是正确的。:-)我不是反对票,但反对票可能是因为答案没有公布。需要注意的一点是@BaseClass.validate必须在decorator方法之外调用基类中描述的方法validated=self.getvalue()
我将编辑问题的第一个代码块,使其更清楚。Martijn,我为没有理由的否决表示歉意。你的答案绝对没有错,事实上我也从中吸取了教训。请你编辑一下,这样我就可以取消“-1”了。谢谢。啊,我首先读到的是“但是,我需要在decorator中调用基类的一个方法来执行验证工作,并在子类中检索(validated)的值。”但是稍后您需要设置self.validated。我将进行更新。@tponthieux:updated以包含OP中的def getvalue(self)
方法,该方法被代码调整为调用该方法,而不是虚构的def validate(self)
方法。代码示例按现在的方式执行。
def validate(input_function):
def wrapper(*args, **kwargs):
print "args[0] is now the instance (conventionally called 'self')", args[0]
self = args[0]
self.validated = self.getvalue()
if not self.validated:
print "Not validated."
return
input_function(validated=self.validated, *args, **kwargs)