b1cef8c4a0
Implemented layering so it will allow to have multiple solver engines. Implements blueprint: dynamic-allocation Change-Id: I7ed1ec0216fb9778b4fa5be4fb4f6141a0e26fc9
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2016 Mirantis, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from bareon_allocator.objects import BaseObject
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class Space(BaseObject):
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properties = {
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'id': None,
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'min_size': 0,
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'max_size': None,
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'best_with_disks': set([]),
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'weight': 1,
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'none_order': False,
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'type': None
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}
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required = ['id', 'type']
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def __init__(self, **kwargs):
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super(Space, self).__init__(**kwargs)
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# Exact size should be represented as min_size and max_size
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if kwargs.get('size'):
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self.min_size = kwargs.get('size')
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self.max_size = kwargs.get('size')
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