This module provides an easy way to define and use your own around/before/after auxiliary methods, similar to those used in CLOS (Common Lisp Object System).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 | #!/usr/bin/env python
#
# Copyright (c) 2011 Jan Kaliszewski (zuo). All rights reserved.
# Licensed under the MIT License.
#
# Python 2.5+/3.x-compatibile.
#
# The newest version of this module should be downloadable from:
# https://github.com/zuo/Zuo-s-Recipes-and-Drafts/blob/master/auxmethods.py
from __future__ import with_statement # (Py2.5 needs this)
from functools import wraps
from inspect import getmro, isfunction
__all__ = (
'ClassNameConflictError',
'aux', 'primary',
'AutoAuxBase', 'AutoAuxMeta',
)
#
# exceptions
class ClassNameConflictError(Exception):
"""
Conflict: class names are identical after stripping leading underscores.
"""
def __str__(self):
cls1, cls2 = self.args
return (
'Class names: %r and %r -- are identical after stripping leading '
'underscores, which is forbidden when using aux/primary methods.'
% (cls1.__name__, cls2.__name__))
#
# non-public stuff
_SUFFIXES = '_primary', '_before', '_after', '_around'
class _WrappedMethodPlaceholder(object):
def __init__(self, func):
self.func = func
def __call__(self, *args, **kwargs):
raise TypeError('method placeholder is not callable '
'(forgot to apply aux() class decorator?)')
def _next_around(obj_around, self, basename, *args, **kwargs):
# try to get and call next `around` aux method
meth_around = getattr(obj_around, basename + '_around', None)
if meth_around is not None:
return meth_around(*args, **kwargs)
else:
# if there is no more `around` methods, get and call:
# `before` aux method (it can call superclasses' `before` methods)
meth_before = getattr(self, basename + '_before', None)
if meth_before is not None:
meth_before(*args, **kwargs)
# primary method (it can call superclasses' primary methods)
meth_primary = getattr(self, basename + '_primary')
pri_result = meth_primary(*args, **kwargs)
# `after` aux method (it can call superclasses' `after` methods)
meth_after = getattr(self, basename + '_after', None)
if meth_after is not None:
meth_after(*args, **kwargs)
return pri_result
def _provide_wrapper(cls, func, basename):
@wraps(func)
def wrapper(self, *args, **kwargs):
return _next_around(self, self, basename, *args, **kwargs)
added_doc = '(See: %s%s() signature).' % (basename, '_primary')
existing_doc = (getattr(wrapper, '__doc__', None) or '').rstrip()
if existing_doc:
wrapper.__doc__ = '%s\n\n%s' % (existing_doc, added_doc)
else:
wrapper.__doc__ = added_doc
setattr(cls, basename, wrapper)
def _provide_primary(cls, func, basename):
suffixed_name = basename + '_primary'
func.__name__ = suffixed_name
func.__doc__ = (
'The actual method implementation '
'(%s() is only a wrapper).' % basename)
setattr(cls, suffixed_name, func)
def _provide_wrapped_primary(cls, func):
basename = func.__name__
_provide_wrapper(cls, func, basename)
_provide_primary(cls, func, basename)
def _strip_and_check_cls_name(cls):
cls_stripped_name = cls.__name__.lstrip('_')
for supercls in getmro(cls):
if (supercls is not cls and
cls_stripped_name == supercls.__name__.lstrip('_')):
raise ClassNameConflictError(supercls, cls)
return cls_stripped_name
def _provide_call_next(cls, suffixed_name):
cls_stripped_name = _strip_and_check_cls_name(cls)
basename, qualifier = suffixed_name.rsplit('_', 1)
cn_name = '_%s__%s' % (
cls_stripped_name,
(basename if qualifier == 'primary' else suffixed_name))
if cn_name in vars(cls):
return
if qualifier == 'around':
def call_next(self, *args, **kwargs):
return _next_around(
super(cls, self), self, basename, *args, **kwargs)
else:
def call_next(self, *args, **kwargs):
super_meth = getattr(super(cls, self), suffixed_name, None)
if super_meth is not None:
return super_meth(*args, **kwargs)
call_next.__name__ = cn_name
setattr(cls, cn_name, call_next)
#
# actual decorators
def aux(cls):
"""Class decorator (for classes containing primary and/or aux methods)."""
if not isinstance(cls, type):
raise TypeError('%r is not a type' % cls)
# wrap/rename primary methods
for name, obj in tuple(vars(cls).items()): # (Py2.x/3.x-compatibile way)
if isinstance(obj, _WrappedMethodPlaceholder):
_provide_wrapped_primary(cls, obj.func)
# provide `call-next-method`-like methods
for name, obj in tuple(vars(cls).items()):
if isfunction(obj) and obj.__name__.endswith(_SUFFIXES):
_provide_call_next(cls, obj.__name__)
return cls
def primary(func):
"""Method decorator (for primary methods only)."""
if not isfunction(func):
raise TypeError('%r is not a function' % func)
return _WrappedMethodPlaceholder(func)
#
# convenience classes (any of them can be used *optionally*...)
class AutoAuxMeta(type):
"""Convenience metaclass: `aux()`-decorates classes created by it."""
def __new__(mcs, name, bases, attr_dict):
return aux(type.__new__(mcs, name, bases, attr_dict))
# (here: Py2.x/3.x-compatibile way to create a class with a custom metaclass)
AutoAuxBase = AutoAuxMeta('AutoAuxBase', (object,), {'__doc__':
"""`AutoAuxMeta`-created base class: `aux()`-decorates its subclasses."""})
#
# basic example
if __name__ == '__main__':
import sys
import time
class TimedAction(AutoAuxBase):
# note: AutoAuxBase automatically decorates your classes with aux()
def action_before(self, *args, **kwargs):
"""Start action timer."""
print('starting action timer...')
self.start_time = time.time()
def action_after(self, *args, **kwargs):
"""Stop action timer and report measured duration."""
self.action_duration = time.time() - self.start_time
print('action duration: %f' % self.action_duration)
class FileContentAction(AutoAuxBase):
def action_around(self, path):
"""Read file and pass its content on; report success or error."""
print('opening file %r...' % path)
try:
with open(path) as f:
content = f.read()
except EnvironmentError:
print(sys.exc_info()[1])
else:
result = self.__action_around(path, content)
print('file %r processed successfully' % path)
return result
class NewlinesCounter(FileContentAction, TimedAction):
item_descr = 'newlines'
@primary
def action(self, path, content):
"""Get number of newlines in a given string."""
return content.count('\n')
def action_before(self, path, *args):
"""Print a message and go on..."""
print('counting %s in file %r will start...' % (
self.item_descr, path))
self.__action_before(path, *args)
def action_around(self, path):
"""Start operation with given file path. Finally, show summary."""
result = self.__action_around(path)
if result is not None:
print('%s in file %r: %s\n' % (
self.item_descr, path, result))
else:
print('could not count %s in file %r\n' % (
self.item_descr, path))
return result
class SpacesAndNewlinesCounter(NewlinesCounter):
item_descr = 'spaces and newlines'
@primary
def action(self, path, content):
"""Get number of spaces and newlines in a given string."""
spaces = content.count(' ')
newlines = self.__action(path, content)
return spaces + newlines
example_file_paths = __file__, 'spam/spam/spam/non-existent'
nl_counter = NewlinesCounter()
spc_nl_counter = SpacesAndNewlinesCounter()
for path in example_file_paths:
nl_counter.action(path)
spc_nl_counter.action(path)
|
Implementing the module I've used a few native Python features:
- class and function decorators,
- class inheritance plus the super() built-in function,
- private name mangling (to free users from necessity of redundant class name retyping).
How to use it
Decorate your classes using the aux()
class decorator and do the same with
chosen method using the primary()
function decorator:
from auxmethods import aux, primary
@aux
class Parent(object):
@primary
def my_method(self, s):
print('\nParent/primary %r\n' % s)
return '\nmy_method() was called with argument %r\n' % s
def my_method_around(self, s):
# `around` aux method (aux methods don't need to be decorated)
print('Parent/around-aux: %r' % s)
# equivalent to CLOS's call-next-method:
result = self.__my_method_around(s)
print('Parent/around-aux exits')
return result
@aux
class Child(Parent):
def my_method_around(self, s):
print('Child/around-aux: %r' % s)
# equivalent of CLOS's call-next-method:
result = self.__my_method_around(s)
print('Child/around-aux exits')
return result
def my_method_before(self, s):
print('Child/before-aux: %r' % s)
def my_method_after(self, s):
print('Child/after-aux: %r' % s)
Now, if you execute this:
obj = Child()
print(obj.my_method('spam'))
...the following text will be printed:
Child/around-aux: 'spam'
Parent/around-aux: 'spam'
Child/before-aux: 'spam'
Parent/primary 'spam'
Child/after-aux: 'spam'
Parent/around-aux exits
Child/around-aux exits
my_method() was called with argument 'spam'
In the source, below the "if __name__ == '__main__'" condition, you'll find a slightly more interesting example.
A few remarks
Auxiliary (aux) method names are built on their primary method name -- with an appropriate suffix added:
_around
,_before
or_after
. For example, if your primary method name isspam
, your aux method names will be:spam_around
,spam_before
,spam_after
.All auxiliary (
*_around
,*_before
,*_after
) methods are optional: you don't need to define all of them. If you define any, at least one primary method (decorated with theprimary()
decorator) with the appropriate name should be defined somewhere in your class hierarchy.You can place your primary/auxiliary methods freely in different places of your class hierarchy (decoupling particular partial actions in random ways...) -- the only requirement is that any class that contain primary and/or auxiliary method(s) should be decorated with the
aux()
class decorator and must be a new style-class (a direct or indirectobject
type subclass).Class-decorating:
Py2.6+/3.x syntax:
@aux
class SomeClass(object):
...
Py2.5 equivalent:
# below the class definition
SomeClass = aux(SomeClass)
...but using AutoAuxBase
is probably more convenient (see below).
If you don't use any special metaclasses you can make your life easier by using
AutoAuxBase
class as the root of your class hierarchy -- it will automatically decorate its subclasses with theaux()
decorator (alternatively you can declareAutoAuxMeta
class as the metaclass).aux()
decorator adds some additional methods to the class. If the primary method name isspam
, their names will be:spam_primary
-- the method you defined as spam (nowspam()
is a wrapper responsible for all thataround
/before
/primary
/after
calls...),__spam
,__spam_around
,__spam_before
,__spam_after
-- names of special helper methods (see below).
You should treat these names as reserved and should not set such class /instance attributes in your whole class hierarchy (unless you really know what you do...). Please note that such a method will not be added if its name is already present in class __dict__ (that may lead to erroneous behaviour unless you have placed there another method consciously...).
Also, please note that
spam_primary()
and__spam()
will not be added if the class doesn't contain thespam()
primary method; and__spam_around()
/__spam_before()
/__spam_after()
will not be added if the class doesn't contain the correspondingspam_around()
/spam_before()
/spam_after()
aux method.The equivalents of CLOS's
call-next-method
are:- in primary methods:
self.__<primary method name>(<arguments>)
- in around aux methods:
self.__<primary method name>_around(<arguments>)
- in primary methods:
Unlike in CLOS, only the most specialized
before
/after
aux methods are called automatically -- it's your responsibility to call those in superclasses, in the following way:- in
before
aux methods:self.__<primary method name>_before(<arguments>)
- in
after
aux methods:self.__<primary method name>_after(<arguments>)
(I believe this behaviour is not only more powerful but also more pythonic and more consistent with the
primary
/around
behaviour).- in
Because of Python private name mangling, all that
__*
method names are visible only within the particular class definition (thanks to that, behind the scenes, the Python standardsuper()
function can be used properly without reduntant class name retyping). If you really need to access that methods from outside (in 99% of cases you won't) prefix their names with: '_' + the class name with any leading underscores stripped (see: http://docs.python.org/reference/expressions.html#atom-identifiers).Because private name mangling is in use, aux() decorator will raise ClassNameConflictError if it find that the name of the decorated class and any superclass name are -- after stripping leading underscores -- identical.
All that
__*
methods make use of the standardsuper()
function but they are a bit smarter: you can safely call them without concern whether appropriate methods exist in superclasses.self.__<primary method name>_around(<arguments>)
works similarly to CLOS'scall-next-method
in:around
-context -- i.e. it calls:
<superclass>.<primary method name>_around(<arguments>)
which may call (and return the result of) another:
...__<primary method name>_around(<arguments>)
and so on... Finally, if there is no next around
aux method to call, the following methods are called:
self.<primary method name>_before(<arguments>) # if the method exists
self.<primary method name>_primary(<arguments>) # may return something
self.<primary method name>_after(<arguments>) # if the method exists
...and then the result of the *_primary()
method may be returned by consecutive (chained in the class hierarchy) around
aux methods.
- For information about CLOS auxiliary methods -- see: http://www.aiai.ed.ac.uk/~jeff/clos-guide.html#meth-comb.
This is some really appealing work! It is too bad that it's necessary to pass the arguments when they should be automatic (like call-next-method). I will need to take a good chunk of time to learn the python coding work you've done. Thanks very much for taking the time to do it. Do you have any plans beyond this?