135 lines
3.9 KiB
Python
135 lines
3.9 KiB
Python
# This file is part of Gajim.
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#
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# Gajim is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published
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# by the Free Software Foundation; version 3 only.
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#
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# Gajim is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Gajim. If not, see <http://www.gnu.org/licenses/>.
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'''
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Helper code related to plug-ins management system.
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:author: Mateusz Biliński <mateusz@bilinski.it>
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:since: 30th May 2008
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:copyright: Copyright (2008) Mateusz Biliński <mateusz@bilinski.it>
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:license: GPL
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'''
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__all__ = ['log', 'log_calls', 'Singleton']
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import logging
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import functools
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log = logging.getLogger('gajim.plugin_system')
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'''
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Logger for code related to plug-in system.
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:type: logging.Logger
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'''
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class GajimPluginActivateException(Exception):
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'''
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Raised when activation failed
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'''
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pass
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class log_calls:
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'''
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Decorator class for functions to easily log when they are entered and left.
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'''
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filter_out_classes = ['GajimPluginConfig', 'PluginManager',
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'GajimPluginConfigDialog', 'PluginsWindow']
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'''
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List of classes from which no logs should be emited when methods are called,
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even though `log_calls` decorator is used.
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'''
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def __init__(self, classname=''):
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'''
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:Keywords:
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classname : str
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Name of class to prefix function name (if function is a method).
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log : logging.Logger
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Logger to use when outputting debug information on when function has
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been entered and when left. By default: `plugins.helpers.log`
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is used.
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'''
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self.full_func_name = ''
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'''
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Full name of function, with class name (as prefix) if given
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to decorator.
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Otherwise, it's only function name retrieved from function object
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for which decorator was called.
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:type: str
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'''
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self.log_this_class = True
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'''
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Determines whether wrapper of given function should log calls of this
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function or not.
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:type: bool
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'''
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if classname:
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self.full_func_name = classname+'.'
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if classname in self.filter_out_classes:
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self.log_this_class = False
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def __call__(self, f):
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'''
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:param f: function to be wrapped with logging statements
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:return: given function wrapped by *log.debug* statements
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:rtype: function
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'''
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self.full_func_name += f.__name__
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if self.log_this_class:
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@functools.wraps(f)
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def wrapper(*args, **kwargs):
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log.debug('%(funcname)s() <entered>'%{
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'funcname': self.full_func_name})
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result = f(*args, **kwargs)
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log.debug('%(funcname)s() <left>'%{
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'funcname': self.full_func_name})
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return result
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else:
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@functools.wraps(f)
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def wrapper(*args, **kwargs):
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result = f(*args, **kwargs)
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return result
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return wrapper
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class Singleton(type):
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'''
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Singleton metaclass.
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'''
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def __init__(cls, name, bases, dic):
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super(Singleton, cls).__init__(name, bases, dic)
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cls.instance=None
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def __call__(cls,*args,**kw):
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if cls.instance is None:
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cls.instance=super(Singleton, cls).__call__(*args,**kw)
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#log.debug('%(classname)s - new instance created'%{
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#'classname' : cls.__name__})
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else:
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pass
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#log.debug('%(classname)s - returning already existing instance'%{
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#'classname' : cls.__name__})
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return cls.instance
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