[Disclaimer: there may be more pythonic ways of doing what I want to do, but I want to know how python's scoping works here]
I'm trying to find a way to make a decorator that does something like injecting a name into the scope of another function (such that the name does not leak outside the decorator's scope). For example, if I have a function that says to print a variable named var
that has not been defined, I would like to define it within a decorator where it is called. Here is an example that breaks:
c = 'Message' def decorator_factory(value): def msg_decorator(f): def inner_dec(*args, **kwargs): var = value res = f(*args, **kwargs) return res return inner_dec return msg_decorator @decorator_factory(c) def msg_printer(): print var msg_printer()
I would like it to print "Message
", but it gives:
NameError: global name 'var' is not defined
The traceback even points to wher var
is defined:
<ipython-input-25-34b84bee70dc> in inner_dec(*args, **kwargs) 8 def inner_dec(*args, **kwargs): 9 var = value ---> 10 res = f(*args, **kwargs) 11 return res 12 return inner_dec
So I don't understand why it can't find var
.
Is there any way to do something like this?
Decorators use a special syntax in JavaScript, whereby they are prefixed with an @ symbol and placed immediately before the code being decorated.
What is Variable Scope in Python? In programming languages, variables need to be defined before using them. These variables can only be accessed in the area where they are defined, this is called scope. You can think of this as a block where you can access variables.
Decorators can be implemented in a number of different ways. One useful use-case for decorators involves using them with methods defined in a class. Decorating methods in the classes we create can extend the functionality of the defined method.
You can't. Scoped names (closures) are determined at compile time, you cannot add more at runtime.
The best you can hope to achieve is to add global names, using the function's own global namespace:
def decorator_factory(value): def msg_decorator(f): def inner_dec(*args, **kwargs): g = f.__globals__ # use f.func_globals for py < 2.6 sentinel = object() oldvalue = g.get('var', sentinel) g['var'] = value try: res = f(*args, **kwargs) finally: if oldvalue is sentinel: del g['var'] else: g['var'] = oldvalue return res return inner_dec return msg_decorator
f.__globals__
is the global namespace for the wrapped function, so this works even if the decorator lives in a different module. If var
was defined as a global already, it is replaced with the new value, and after calling the function, the globals are restored.
This works because any name in a function that is not assigned to, and is not found in a surrounding scope, is marked as a global instead.
Demo:
>>> c = 'Message' >>> @decorator_factory(c) ... def msg_printer(): ... print var ... >>> msg_printer() Message >>> 'var' in globals() False
But instead of decorating, I could just as well have defined var
in the global scope directly.
Note that altering the globals is not thread safe, and any transient calls to other functions in the same module will also still see this same global.
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