aspectlib · Python Simple Repository Browser

Project Links

Meta

Author: Ionel Cristian Mărieș

Classifiers

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.

Weaving functions, methods, instances and classes is completed.

Pending:

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

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

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.

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

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)

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.

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.