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Aspect-Oriented Programming toolkit.

Project description

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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

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.

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