vmware-nsx/quantum/plugins/cisco/l2network_segmentation_base.py
Brad Hall 9bab0960b6 Second round of packaging changes
This change condenses the directory structure to something more similar to
what we had before while producing similar packages.

It also introduces version.py which allows us to get the version from git tags
(or a fallback version if not available).

Fixes lp bug 889336
Fixes lp bug 888795

Change-Id: I86136bd9dbabb5eb1f8366ed665ed9b54f695124
2011-11-28 10:33:52 -08:00

76 lines
2.4 KiB
Python

"""
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2011 Cisco Systems, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
#
# @author: Sumit Naiksatam, Cisco Systems, Inc.
#
"""
import inspect
from abc import ABCMeta, abstractmethod
class L2NetworkSegmentationMgrBase(object):
"""
Base class for L2 Network Segmentation Manager
"""
__metaclass__ = ABCMeta
@abstractmethod
def reserve_segmentation_id(self, tenant_id, net_name, **kwargs):
"""
:returns:
:raises:
"""
pass
@abstractmethod
def release_segmentation_id(self, tenant_id, net_id, **kwargs):
"""
:returns:
:raises:
"""
pass
@classmethod
def __subclasshook__(cls, klass):
"""
The __subclasshook__ method is a class method
that will be called everytime a class is tested
using issubclass(klass, Plugin).
In that case, it will check that every method
marked with the abstractmethod decorator is
provided by the plugin class.
"""
if cls is L2NetworkSegmentationMgrBase:
for method in cls.__abstractmethods__:
method_ok = False
for base in klass.__mro__:
if method in base.__dict__:
fn_obj = base.__dict__[method]
if inspect.isfunction(fn_obj):
abstract_fn_obj = cls.__dict__[method]
arg_count = fn_obj.func_code.co_argcount
expected_arg_count = \
abstract_fn_obj.func_code.co_argcount
method_ok = arg_count == expected_arg_count
if method_ok:
continue
return NotImplemented
return True
return NotImplemented