75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
# Copyright 2011-2012 OpenStack Foundation
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# All Rights Reserved.
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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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"""
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Tests For weights.
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"""
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import mock
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from nova.scheduler import weights as scheduler_weights
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from nova.scheduler.weights import ram
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from nova import test
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from nova.tests.unit.scheduler import fakes
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from nova import weights
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class TestWeigher(test.NoDBTestCase):
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def test_no_multiplier(self):
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class FakeWeigher(weights.BaseWeigher):
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def _weigh_object(self, *args, **kwargs):
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pass
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self.assertEqual(1.0,
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FakeWeigher().weight_multiplier(None))
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def test_no_weight_object(self):
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class FakeWeigher(weights.BaseWeigher):
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def weight_multiplier(self, *args, **kwargs):
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pass
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self.assertRaises(TypeError,
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FakeWeigher)
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def test_normalization(self):
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# weight_list, expected_result, minval, maxval
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map_ = (
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((), (), None, None),
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((0.0, 0.0), (0.0, 0.0), None, None),
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((1.0, 1.0), (0.0, 0.0), None, None),
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((20.0, 50.0), (0.0, 1.0), None, None),
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((20.0, 50.0), (0.0, 0.375), None, 100.0),
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((20.0, 50.0), (0.4, 1.0), 0.0, None),
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((20.0, 50.0), (0.2, 0.5), 0.0, 100.0),
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)
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for seq, result, minval, maxval in map_:
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ret = weights.normalize(seq, minval=minval, maxval=maxval)
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self.assertEqual(tuple(ret), result)
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@mock.patch('nova.weights.BaseWeigher.weigh_objects')
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def test_only_one_host(self, mock_weigh):
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host_values = [
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('host1', 'node1', {'free_ram_mb': 512}),
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]
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hostinfo = [fakes.FakeHostState(host, node, values)
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for host, node, values in host_values]
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weight_handler = scheduler_weights.HostWeightHandler()
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weighers = [ram.RAMWeigher()]
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weighed_host = weight_handler.get_weighed_objects(weighers,
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hostinfo, {})
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self.assertEqual(1, len(weighed_host))
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self.assertEqual('host1', weighed_host[0].obj.host)
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self.assertFalse(mock_weigh.called)
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