53 lines
2.5 KiB
Python
53 lines
2.5 KiB
Python
# 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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import datetime
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from nova import objects
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from nova.scheduler.filters import metrics_filter
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from nova import test
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from nova.tests.unit.scheduler import fakes
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class TestMetricsFilter(test.NoDBTestCase):
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def test_metrics_filter_pass(self):
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_ts_now = datetime.datetime(2015, 11, 11, 11, 0, 0)
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obj1 = objects.MonitorMetric(name='cpu.frequency',
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value=1000,
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timestamp=_ts_now,
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source='nova.virt.libvirt.driver')
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obj2 = objects.MonitorMetric(name='numa.membw.current',
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numa_membw_values={"0": 10, "1": 43},
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timestamp=_ts_now,
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source='nova.virt.libvirt.driver')
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metrics_list = objects.MonitorMetricList(objects=[obj1, obj2])
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self.flags(weight_setting=[
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'cpu.frequency=1', 'numa.membw.current=2'], group='metrics')
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filt_cls = metrics_filter.MetricsFilter()
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host = fakes.FakeHostState('host1', 'node1',
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attribute_dict={'metrics': metrics_list})
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self.assertTrue(filt_cls.host_passes(host, None))
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def test_metrics_filter_missing_metrics(self):
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_ts_now = datetime.datetime(2015, 11, 11, 11, 0, 0)
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obj1 = objects.MonitorMetric(name='cpu.frequency',
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value=1000,
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timestamp=_ts_now,
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source='nova.virt.libvirt.driver')
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metrics_list = objects.MonitorMetricList(objects=[obj1])
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self.flags(weight_setting=['foo=1', 'bar=2'], group='metrics')
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filt_cls = metrics_filter.MetricsFilter()
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host = fakes.FakeHostState('host1', 'node1',
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attribute_dict={'metrics': metrics_list})
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self.assertFalse(filt_cls.host_passes(host, None))
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