aspectlib 1.1.0

Aspect-Oriented Programming toolkit.

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 1.1

• 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

• 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.