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