/brz/remove-bazaar

# Copyright (C) 2006-2010 Canonical Ltd

#

# This program is free software; you can redistribute it and/or modify

# it under the terms of the GNU General Public License as published by

# the Free Software Foundation; either version 2 of the License, or

# (at your option) any later version.

#

# This program is distributed in the hope that it will be useful,

# but WITHOUT ANY WARRANTY; without even the implied warranty of

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

# GNU General Public License for more details.

#

# You should have received a copy of the GNU General Public License

# along with this program; if not, write to the Free Software

# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA

from __future__ import absolute_import

__all__ = ['needs_read_lock',

           'needs_write_lock',

           'use_fast_decorators',

           'use_pretty_decorators',

           ]

from . import trace

def _get_parameters(func):

    """Recreate the parameters for a function using introspection.

    :return: (function_params, calling_params, default_values)

        function_params: is a string representing the parameters of the

            function. (such as "a, b, c=None, d=1")

            This is used in the function declaration.

        calling_params: is another string representing how you would call the

            function with the correct parameters. (such as "a, b, c=c, d=d")

            Assuming you used function_params in the function declaration, this

            is the parameters to put in the function call.

        default_values_block: a dict with the default values to be passed as

            the scope for the 'exec' statement.

        For example:

        def wrapper(%(function_params)s):

            return original(%(calling_params)s)

    """

    # "import inspect" should stay in local scope. 'inspect' takes a long time

    # to import the first time. And since we don't always need it, don't import

    # it globally.

    import inspect

    args, varargs, varkw, defaults = inspect.getargspec(func)

    defaults_dict = {}

    def formatvalue(value):

        default_name = '__default_%d' % len(defaults_dict)

        defaults_dict[default_name] = value

        return '=' + default_name

    formatted = inspect.formatargspec(args, varargs=varargs,

                                      varkw=varkw,

                                      defaults=defaults,

                                      formatvalue=formatvalue)

    if defaults is None:

        args_passed = args

    else:

        first_default = len(args) - len(defaults)

        args_passed = args[:first_default]

        for arg in args[first_default:]:

            args_passed.append("%s=%s" % (arg, arg))

    if varargs is not None:

        args_passed.append('*' + varargs)

    if varkw is not None:

        args_passed.append('**' + varkw)

    args_passed = ', '.join(args_passed)

    return formatted[1:-1], args_passed, defaults_dict

def _pretty_needs_read_lock(unbound):

    """Decorate unbound to take out and release a read lock.

    This decorator can be applied to methods of any class with lock_read() and

    unlock() methods.

    Typical usage:

    class Branch(...):

        @needs_read_lock

        def branch_method(self, ...):

            stuff

    """

    # This compiles a function with a similar name, but wrapped with

    # lock_read/unlock calls. We use dynamic creation, because we need the

    # internal name of the function to be modified so that --lsprof will see

    # the correct name.

    # TODO: jam 20070111 Modify this template so that the generated function

    #       has the same argument signature as the original function, which

    #       will help commands like epydoc.

    #       This seems possible by introspecting foo.func_defaults, and

    #       foo.func_code.co_argcount and foo.func_code.co_varnames

    template = """\

def %(name)s_read_locked(%(params)s):

    self.lock_read()

    try:

        result = unbound(%(passed_params)s)

    except:

        try:

            self.unlock()

        finally:

            raise

    else:

        self.unlock()

        return result

read_locked = %(name)s_read_locked

"""

    params, passed_params, defaults_dict = _get_parameters(unbound)

    variables = {'name':unbound.__name__,

                 'params':params,

                 'passed_params':passed_params,

                }

    func_def = template % variables

    scope = dict(defaults_dict)

    scope['unbound'] = unbound

    exec(func_def, scope)

    read_locked = scope['read_locked']

    read_locked.__doc__ = unbound.__doc__

    read_locked.__name__ = unbound.__name__

    return read_locked

def _fast_needs_read_lock(unbound):

    """Decorate unbound to take out and release a read lock.

    This decorator can be applied to methods of any class with lock_read() and

    unlock() methods.

    Typical usage:

    class Branch(...):

        @needs_read_lock

        def branch_method(self, ...):

            stuff

    """

    def read_locked(self, *args, **kwargs):

        self.lock_read()

        try:

            result = unbound(self, *args, **kwargs)

        except:

            try:

                self.unlock()

            finally:

                raise

        else:

            self.unlock()

            return result

    read_locked.__doc__ = unbound.__doc__

    read_locked.__name__ = unbound.__name__

    return read_locked

def _pretty_needs_write_lock(unbound):

    """Decorate unbound to take out and release a write lock."""

    template = """\

def %(name)s_write_locked(%(params)s):

    self.lock_write()

    try:

        result = unbound(%(passed_params)s)

    except:

        try:

            self.unlock()

        finally:

            raise

    else:

        self.unlock()

        return result

write_locked = %(name)s_write_locked

"""

    params, passed_params, defaults_dict = _get_parameters(unbound)

    variables = {'name':unbound.__name__,

                 'params':params,

                 'passed_params':passed_params,

                }

    func_def = template % variables

    scope = dict(defaults_dict)

    scope['unbound'] = unbound

    exec(func_def, scope)

    write_locked = scope['write_locked']

    write_locked.__doc__ = unbound.__doc__

    write_locked.__name__ = unbound.__name__

    return write_locked

def _fast_needs_write_lock(unbound):

    """Decorate unbound to take out and release a write lock."""

    def write_locked(self, *args, **kwargs):

        self.lock_write()

        try:

            result = unbound(self, *args, **kwargs)

        except:

            try:

                self.unlock()

            finally:

                raise

        else:

            self.unlock()

            return result

    write_locked.__doc__ = unbound.__doc__

    write_locked.__name__ = unbound.__name__

    return write_locked

def only_raises(*errors):

    """Make a decorator that will only allow the given error classes to be

    raised.  All other errors will be logged and then discarded.

    Typical use is something like::

        @only_raises(LockNotHeld, LockBroken)

        def unlock(self):

            # etc

    """

    def decorator(unbound):

        def wrapped(*args, **kwargs):

            try:

                return unbound(*args, **kwargs)

            except errors:

                raise

            except:

                trace.mutter('Error suppressed by only_raises:')

                trace.log_exception_quietly()

        wrapped.__doc__ = unbound.__doc__

        wrapped.__name__ = unbound.__name__

        return wrapped

    return decorator

# Default is more functionality, 'bzr' the commandline will request fast

# versions.

needs_read_lock = _pretty_needs_read_lock

needs_write_lock = _pretty_needs_write_lock

def use_fast_decorators():

    """Change the default decorators to be fast loading ones.

    The alternative is to have decorators that do more work to produce

    nice-looking decorated functions, but this slows startup time.

    """

    global needs_read_lock, needs_write_lock

    needs_read_lock = _fast_needs_read_lock

    needs_write_lock = _fast_needs_write_lock

def use_pretty_decorators():

    """Change the default decorators to be pretty ones."""

    global needs_read_lock, needs_write_lock

    needs_read_lock = _pretty_needs_read_lock

    needs_write_lock = _pretty_needs_write_lock

# This implementation of cachedproperty is copied from Launchpad's

# canonical.launchpad.cachedproperty module (with permission from flacoste)

# -- spiv & vila 100120

def cachedproperty(attrname_or_fn):

    """A decorator for methods that makes them properties with their return

    value cached.

    The value is cached on the instance, using the attribute name provided.

    If you don't provide a name, the mangled name of the property is used.

    >>> class CachedPropertyTest(object):

    ...

    ...     @cachedproperty('_foo_cache')

    ...     def foo(self):

    ...         print 'foo computed'

    ...         return 23

    ...

    ...     @cachedproperty

    ...     def bar(self):

    ...         print 'bar computed'

    ...         return 69

    >>> cpt = CachedPropertyTest()

    >>> getattr(cpt, '_foo_cache', None) is None

    True

    >>> cpt.foo

    foo computed

    23

    >>> cpt.foo

    23

    >>> cpt._foo_cache

    23

    >>> cpt.bar

    bar computed

    69

    >>> cpt._bar_cached_value

    69

    """

    if isinstance(attrname_or_fn, str):

        attrname = attrname_or_fn

        return _CachedPropertyForAttr(attrname)

    else:

        fn = attrname_or_fn

        attrname = '_%s_cached_value' % fn.__name__

        return _CachedProperty(attrname, fn)

class _CachedPropertyForAttr(object):

    def __init__(self, attrname):

        self.attrname = attrname

    def __call__(self, fn):

        return _CachedProperty(self.attrname, fn)

class _CachedProperty(object):

    def __init__(self, attrname, fn):

        self.fn = fn

        self.attrname = attrname

        self.marker = object()

    def __get__(self, inst, cls=None):

        if inst is None:

            return self

        cachedresult = getattr(inst, self.attrname, self.marker)

        if cachedresult is self.marker:

            result = self.fn(inst)

            setattr(inst, self.attrname, result)

            return result

        else:

            return cachedresult