b3j0f.aop 0.8.4

Description:

b3j0f.aop 0.8.4

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













Links

Homepage
PyPI
Documentation



Installation
pip install b3j0f.aop


Features

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


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.


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