coriolis/crlcore/python/helpers/utils.py

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# -*- mode:Python -*-
#
# This file is part of the Coriolis Software.
# Copyright (c) SU 2020-2020, All Rights Reserved
#
# +-----------------------------------------------------------------+
# | C O R I O L I S |
# | C o r i o l i s / C h a m s B u i l d e r |
# | |
# | Author : Jean-Paul Chaput |
# | E-mail : Jean-Paul.Chaput@lip6.fr |
# | =============================================================== |
# | Python : "./crlcore/helpers/utils.py" |
# +-----------------------------------------------------------------+
"""
Miscellaeous utilities. Contains:
* ``classdecorator`` : A class decorator, wrap a new class instance
around and exsiting one and create proxies for all it's attributes
and methods.
"""
from __future__ import print_function
import types
import inspect
import functools
def classdecorator ( cls ):
"""
Decorate an instance of a class. It is not an implementation of the Design
Pattern, instead of using Concrete/Abstract classes and inheritance, it just
create proxies for the base class attributes & methods in the derived one.
Example:
.. code-block:: python
class Base ( object ):
def __init__ ( self, param1 ):
self.param1 = param1
def func1 ( self ):
return self.param1
@classdecorator
class DecoratedClass ( object ):
def __init__ ( self, param2 )
self.param2 = param2
def func2 ( self ):
return self.param2
base = Base( 'Value1' )
decorated = Decorated( 'Value2' )
print( 'decorated.param1 = {}'.format(decorated.param1) )
print( 'decorated.param2 = {}'.format(decorated.param2) )
print( 'decorated.func1 = {}'.format(decorated.func1()) )
print( 'decorated.func2 = {}'.format(decorated.func2()) )
Technical note
==============
A hidden attribute ``_baseClass`` is added that contains an *instance* of
the base class (that is, not the class type itself). Then the
``__setattr__()`` and ``__getattr__()`` of the decorated class instance
(``cls``) are replaced by versions that tries first to find attributes in
the base class. The ``__init__()`` of the decorated class is also
redefined so that it *imports* all the methods of the base class in the
decorated one at runtime.
Methods binding: the base class methods importeds into the decorated one
stay bound the the *base* class. As far as I understand, this should cause
no problem as long as the base class instance exists, which should always
be the case.
"""
def isprop ( attr ): return isinstance( attr, property )
def wrappedSetattr ( self, attr, v ):
if attr != '_baseClass' and self._baseClass.__dict__.has_key(attr):
self._baseClass.__setattr__( attr, v )
object.__setattr__( self, attr, v )
def wrappedGetattr ( self, attr ):
if attr == '_baseClass': return self.__dict__['_baseClass']
if self.__dict__.has_key(attr): return self.__dict__[attr]
selfClass = type( self )
if selfClass.__dict__.has_key(attr):
prop = selfClass.__dict__[attr]
if isprop(prop):
return prop.__get__(self)
return prop
if not hasattr(self,'_baseClass'):
raise AttributeError( '\'{}\' object has no attribute or method named \'{}\'' \
.format(self.__class__.__name__,attr) )
return wrappedGetattr( self._baseClass, attr )
classInit = cls.__init__
@functools.wraps(classInit)
def wrappedInit ( self, baseClass, *args, **kwargs ):
self._baseClass = baseClass
for method in inspect.getmembers(self._baseClass, predicate=inspect.ismethod):
if method[0] == '__init__': continue
self.__setattr__( method[0], method[1] )
classInit( self, *args, **kwargs )
cls.__init__ = wrappedInit
cls.__setattr__ = wrappedSetattr
cls.__getattr__ = wrappedGetattr
return cls