python-aspectlib

aspectlib is an aspect-oriented programming, monkey-patch and decorators library. It is useful when changing behavior in existing code is desired.

Documentation

Docs are hosted at readthedocs.org: python-aspectlib docs.

Implementation status

Weaving functions, methods, instances and classes is completed.

Pending:

“Concerns” (see docs/todo.rst)

If aspectlib.weave doesn’t work for your scenario please report a bug !

Requirements

OS:: Any
Runtime:: Python 2.6, 2.7, 3.3, 3.4 or PyPy

Python 3.2, 3.1 and 3.0 are NOT supported (some objects are too crippled).

Similar projects

function_trace - extremely simple

Changelog

Version 1.2.1

Don’t raise exceptions from Replay.__exit__ if there would be an error (makes original cause hard to debug).

Version 1.2.0

Fix weaving methods that were defined in some baseclass (and not on the target class).
Fix wrong qualname beeing used in the Story/Replay recording. Now used the alias given to the weaver instead of whatever is the realname on the current platform.

Version 1.1.1

Use ASPECTLIB_DEBUG for every logger in aspectlib.

Version 1.1.0

Add a bind option to aspectlib.Aspect so you can access the cutpoint from the advisor.
Replaced automatic importing in aspectlib.test.Replay with extraction of context variables (locals and globals from the calling aspectlib.test.Story). Works better than the previous inference of module from AST of the result.
All the methods on the replay are now properties: aspectlib.test.Story.diff, aspectlib.test.Story.unexpected and aspectlib.test.Story.missing.
Added aspectlib.test.Story.actual and aspectlib.test.Story.expected.
Added an ASPECTLIB_DEBUG environment variable option to switch on debug logging in aspectlib’s internals.

Version 1.0.0

Reworked the internals aspectlib.test.Story to keep call ordering, to allow dependencies and improved the serialization (used in the diffs and the missing/unexpected lists).

Version 0.9.0

Changed aspectlib.test.record:
- Renamed history option to calls.
- Renamed call option to iscalled.
- Added callback option.
- Added extended option.
Changed aspectlib.weave:
- Allow weaving everything in a module.
- Allow weaving instances of new-style classes.
Added aspectlib.test.Story class for capture-replay and stub/mock testing.

Version 0.8.1

Use simpler import for the py3support.

Version 0.8.0

Change aspectlib.debug.log to use aspectlib.Aspect and work as expected with coroutines or generators.
Fixed aspectlib.debug.log to work on Python 3.4.
Remove the undocumented aspectlib.Yield advice. It was only usable when decorating generators.

Version 0.7.0

Add support for decorating generators and coroutines in aspectlib.Aspect.
Made aspectlib raise better exceptions.

Version 0.6.1

Fix checks inside aspectlib.debug.log that would inadvertently call __bool__/__nonzero.

Version 0.6.0

Don’t include __getattribute__ in ALL_METHODS - it’s too dangerous dangerous dangerous dangerous dangerous dangerous … ;)
Do a more reliable check for old-style classes in debug.log
When weaving a class don’t weave attributes that are callable but are not actually routines (functions, methods etc)

Version 0.5.0

Changed aspectlib.debug.log:
- Renamed arguments to call_args.
- Renamed arguments_repr to call_args_repr.
- Added call option.
- Fixed issue with logging from old-style methods (object name was a generic “instance”).
Fixed issues with weaving some types of builtin methods.
Allow to apply multiple aspects at the same time.
Validate string targets before weaving. aspectlib.weave('mod.invalid name', aspect) now gives a clear error (invalid name is not a valid identifier)
Various documentation improvements and examples.

Version 0.4.1

Remove junk from 0.4.0’s source distribution.

Version 0.4.0

Changed aspectlib.weave:
- Replaced only_methods, skip_methods, skip_magicmethods options with methods.
- Renamed on_init option to lazy.
- Added aliases option.
- Replaced skip_subclasses option with subclasses.
Fixed weaving methods from a string target.

Metadata

Release files for aspectlib 1.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for aspectlib 1.2.1
File	Size	Uploaded
aspectlib-1.2.1.tar.gz	149.9 kB	Oct 15, 2014	Details

Built distribution (wheel)

Table of built distributions (wheels) for aspectlib 1.2.1
File	Interpreter	ABI	Platform	Reset
aspectlib-1.2.1-py2.py3-none-any.whl 28.6 kB Oct 15, 2014	Python 3, Python 2	none	any	Details

Total release size: 178.5 kB

Release files / aspectlib-1.2.1.tar.gz

Download URL	aspectlib-1.2.1.tar.gz
Size	149.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`e8e07e9429a84e3aa917c38e73e8ca5550f4f90a0506f96850195da8c8551525`
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Upload date	Oct 15, 2014
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Release files / aspectlib-1.2.1-py2.py3-none-any.whl

Download URL	aspectlib-1.2.1-py2.py3-none-any.whl
Size	28.6 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`85be856df4f0572eb0d4e1d8cacdc3b010a4a7ff9e3be34c534ea813bd813fae`
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Upload date	Oct 15, 2014
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