toggling decorators

I think you should use a decorator a to decorate the decorator b, which let you switch the decorator b on or off with the help of a decision function.

This sounds complex, but the idea is rather simple.

So let's say you have a decorator logger:

from functools import wraps 
def logger(f):
    @wraps(f)
    def innerdecorator(*args, **kwargs):
        print (args, kwargs)
        res = f(*args, **kwargs)
        print res
        return res
    return innerdecorator

This is a very boring decorator and I have a dozen or so of these, cachers, loggers, things which inject stuff, benchmarking etc. I could easily extend it with an if statement, but this seems to be a bad choice; because then I have to change a dozen of decorators, which is not fun at all.

So what to do? Let's step one level higher. Say we have a decorator, which can decorate a decorator? This decorator would look like this:

@point_cut_decorator(logger)
def my_oddly_behaving_function

This decorator accepts logger, which is not a very interesting fact. But it also has enough power to choose if the logger should be applied or not to my_oddly_behaving_function. I called it point_cut_decorator, because it has some aspects of aspect oriented programming. A point cut is a set of locations, where some code (advice) has to be interwoven with the execution flow. The definitions of point cuts is usually in one place. This technique seems to be very similar.

How can we implement it decision logic. Well I have chosen to make a function, which accepts the decoratee, the decorator, file and name, which can only say if a decorator should be applied or not. These are the coordinates, which are good enough to pinpoint the location very precisely.

This is the implementation of point_cut_decorator, I have chosen to implement the decision function as a simple function, you could extend it to let it decide from your settings or configuration, if you use regexes for all 4 coordinates, you will end up with something very powerful:

from functools import wraps

myselector is the decision function, on true a decorator is applied on false it is not applied. Parameters are the filename, the module name, the decorated object and finally the decorator. This allows us to switch of behaviour in a fine grained manner.

def myselector(fname, name, decoratee, decorator):
    print fname

    if decoratee.__name__ == "test" and fname == "decorated.py" and decorator.__name__ == "logger":
        return True
    return False 

This decorates a function, checks myselector and if myselector says go on, it will apply the decorator to the function.

def point_cut_decorator(d):
    def innerdecorator(f):
        @wraps(f)
        def wrapper(*args, **kwargs):
            if myselector(__file__, __name__, f, d):
                ps = d(f)
                return ps(*args, **kwargs)
            else:
                return f(*args, **kwargs)
        return wrapper
    return innerdecorator


def logger(f):
    @wraps(f)
    def innerdecorator(*args, **kwargs):
        print (args, kwargs)
        res = f(*args, **kwargs)
        print res
        return res
    return innerdecorator

And this is how you use it:

@point_cut_decorator(logger)
def test(a):
    print "hello"
    return "world"

test(1)

EDIT:

This is the regular expression approach I talked about:

from functools import wraps
import re

As you can see, I can specify somewhere a couple of rules, which decides a decorator should be applied or not:

rules = [{
    "file": "decorated.py",
    "module": ".*",
    "decoratee": ".*test.*",
    "decorator": "logger"
}]

Then I loop over all rules and return True if a rule matches or false if a rule doesn't matches. By making rules empty in production, this will not slow down your application too much:

def myselector(fname, name, decoratee, decorator):
    for rule in rules:
        file_rule, module_rule, decoratee_rule, decorator_rule = rule["file"], rule["module"], rule["decoratee"], rule["decorator"]
        if (
            re.match(file_rule, fname)
            and re.match(module_rule, name)
            and re.match(decoratee_rule, decoratee.__name__)
            and re.match(decorator_rule, decorator.__name__)
        ):
            return True
    return False

I've been using the following approach. It's almost identical to the one suggested by CaptainMurphy, but it has the advantage that you don't need to call the decorator like a function.

import functools

class SwitchedDecorator:
    def __init__(self, enabled_func):
        self._enabled = False
        self._enabled_func = enabled_func

    @property
    def enabled(self):
        return self._enabled

    @enabled.setter
    def enabled(self, new_value):
        if not isinstance(new_value, bool):
            raise ValueError("enabled can only be set to a boolean value")
        self._enabled = new_value

    def __call__(self, target):
        if self._enabled:
            return self._enabled_func(target)
        return target


def deco_func(target):
    """This is the actual decorator function.  It's written just like any other decorator."""
    def g(*args,**kwargs):
        print("your function has been wrapped")
        return target(*args,**kwargs)
    functools.update_wrapper(g, target)
    return g


# This is where we wrap our decorator in the SwitchedDecorator class.
my_decorator = SwitchedDecorator(deco_func)

# Now my_decorator functions just like the deco_func decorator,
# EXCEPT that we can turn it on and off.
my_decorator.enabled=True

@my_decorator
def example1():
    print("example1 function")

# we'll now disable my_decorator.  Any subsequent uses will not
# actually decorate the target function.
my_decorator.enabled=False
@my_decorator
def example2():
    print("example2 function")

In the above, example1 will be decorated, and example2 will NOT be decorated. When I have to enable or disable decorators by module, I just have a function that makes a new SwitchedDecorator whenever I need a different copy.

You could add the conditional to the decorator itself:

def use_benchmark(modname):
    return modname == "mymodule"

def benchmark(func):
    if not use_benchmark(func.__module__):
        return func
    def decorator():
        # fancy benchmarking 
    return decorator

If you apply this decorator in mymodule.py, it will be enabled; if you apply it in othermodule.py, it will not be enabled.