Aspect oriented programming (AOP) in Python

Python does not need something like a "language extension" for being able to work in an Aspect Oriented way.

That is simply due to the dynamic mechanisms in Python itself. A Google search will yield a couple projects - but despite looking merely like libraries, it is all that is needed in Python.

I am not making this up - it is the fact that you can introspect classes and methods, and change them at run-time. When I first learned about Aspect Orientation, I could implement some proof of concepts in Python in a couple of hours - certainly some of the existing projects can offer production-quality entries.

But since you asked, there is a Python "language extension" of sorts that could be used for Aspect Orientation: when I made the proof of concept I mentioned above, I used to check the input parameters to methods at run-time to determine whether certain methods would be affected by a rule or not.

In Python 3 there is a little known feature of the language that allows one to annotate the input parameters and return value of a function or method. An aspect orientation library could make use of this to apply its magic at "load time", and not at the time of each function call.

BTW, here is my quick hack to get a working example of using Aspect Orientation with Pure Python. Sorry - the code comments are in pt_BR - https://bitbucket.org/jsbueno/metapython/src/f48d6bd388fd/aspect.py

You can use Spring Python

Link : http://docs.spring.io/spring-python/1.2.x/sphinx/html/aop.html#aspect-oriented-programming