b3j0f.aop 0.8.0

Python Aspect Oriented Programming

Description

This project is an Aspect Oriented Programming library for python with reflective concerns.

Links

• Homepage

• PyPI

• Documentation

Installation

pip install b3j0f.aop

Features

1. Free and unlimited access: no limits to sharing of ideas and knowledges with the license MIT.

2. Performance:

   • less memory consumption in using the __slots__ class property.

   • less time on (un-)weaving and advice application improvement with binary python encoding and in using constants var in code.

   • (dis/en)abling advices without remove them in using dedicated Advice class.

3. Easy to use:

   • joinpoint matching with function or regex.

   • distributed programming:

     • interception context sharing in order to ease behaviour sharing between advices.

     • uuid for advice identification in order to ease its use in a distributed context.

   • maintenable with well named variables and functions, comments and few lines.

   • extensible through pythonic code (PEP8), same logic to function code interception and concern modularisation with one module by joinpoint or advice.

   • respect of aspects vocabulary in order to ease its use among AOP users.

   • close to callable python objects in weaving all types of callable elements such as (built-in) functions, (built-in) class, (built-in) methods, callable objects, etc.

   • advices are callable objects.

   • Unit tests for all functions such as examples.

4. Benchmark:

   • speed execution

Limitations

• Do not weave advices on readonly instance methods (where class use __slots__ attribute).

Examples

How to change the behaviour of min by max ?

>>> from b3j0f.aop import weave, is_intercepted
>>> double_advice = lambda joinpoint: joinpoint.proceed() * 2
>>> weave(target=min, advices=double_advice)
>>> min(6, 7)
12

How to check if a function is intercepted ?

>>> from b3j0f.aop import is_intercepted
>>> is_intercepted(min)
True

Ok, let’s get back its previous behaviour …

>>> from b3j0f.aop import unweave
>>> unweave(min)
>>> min(6, 7)
6
>>> is_intercepted(min)
False

And with an annotation ?

>>> from b3j0f.aop import weave_on
>>> weave_on(advices=double_advice)(min)
>>> min(6, 7)
12
>>> is_intercepted(min)
True
>>> unweave(min)  # do not forget to unweave if weaving is useless ;)

Enjoy …

State of the art

Related to improving criteria points (1. Free and unlimited access, etc.), a state of the art is provided here.

Library	Url	License	Execution	Use	Benchmark	Compatibility
b3j0f.aop	https://github.com/b3j0f/aop	MIT	4/5	4/5	4/5	4/5 (>=2.6)
pyaspects	http://tinyurl.com/n7ccof5	GPL 2	4/5	2/5	2/5	2/5
aspects	http://tinyurl.com/obp8t2v	LGPL 2.1	2/5	2/5	2/5	2/5
aspect	http://tinyurl.com/lpd87bd	BSD	2/5	1/5	1/5	1/5
spring	http://tinyurl.com/dmkpj3	Apache	4/5	2/5	3/5	2/5
pytilities	http://tinyurl.com/q49ulr5	GPL 3	1/5	1/5	1/5	1/5

pyaspects

weaknesses

• Not functional approach: Aspect class definition.

• Side effects: Not close to python API.

• Not optimized Weaving and Time execution: use classes and generic methods.

• Not maintenable: poor comments.

• open-source and use limitations: GPL 2.

• limited in weave filtering.

aspects

weaknesses

• open-source and use limitations: LGPL 2.1.

• more difficulties to understand code with no respect of the AOP vocabulary, packaged into one module.

• limited in weave filtering.

aspect

strengths

• invert the AOP in decorating advices with joinpoint instead of weaving advices on joinpoint.

• open-source and no use limitations: BSD.

weaknesses

• Simple and functional approach with use of python tools.

• maintenable: commented in respect of the PEP8.

• limited in weave filtering.

spring

strengths

• a very powerful library dedicated to develop strong systems based on component based software engineering.

• unittests.

• huge community.

weaknesses

• require to understand a lot of concepts and install an heavy library before doing a simple interception with AOP concerns.

pytilities

strenghts

• Very complex and full library for doing aspects and other things.

weaknesses

• open-source and use limitations: GPL 3.

• not maintenable: missing documentations and not respect of the PEP8.

• Executon time is not optimized with several classes used with generic getters without using __slots__. The only one optimization comes from the yield which requires from users to use it in their own advices (which must be a class).

Perspectives

• wait feedbacks during 6 months before passing it to a stable version.

• Cython implementation.

Donation