def setUp(self):
super(TestWorkloadBalance, self).setUp()
# fake metrics
self.fake_metrics = self.fake_datasource_cls()
p_datasource = mock.patch.object(strategies.WorkloadBalance,
"datasource_backend",
new_callable=mock.PropertyMock)
self.m_datasource = p_datasource.start()
self.addCleanup(p_datasource.stop)
self.m_datasource.return_value = mock.Mock(
statistic_aggregation=self.fake_metrics.mock_get_statistics_wb)
self.strategy = strategies.WorkloadBalance(config=mock.Mock(
datasource=self.datasource))
self.strategy.input_parameters = utils.Struct()
self.strategy.input_parameters.update({
'metrics': 'cpu_util',
'threshold': 25.0,
'period': 300,
'granularity': 300
})
self.strategy.threshold = 25.0
self.strategy._period = 300
self.strategy._meter = "cpu_util"
self.strategy._granularity = 300
def setUp(self):
super(TestWorkloadBalance, self).setUp()
# fake metrics
self.fake_metrics = self.fake_datasource_cls()
# fake cluster
self.fake_cluster = faker_cluster_state.FakerModelCollector()
p_model = mock.patch.object(
strategies.WorkloadBalance, "compute_model",
new_callable=mock.PropertyMock)
self.m_model = p_model.start()
self.addCleanup(p_model.stop)
p_datasource = mock.patch.object(
strategies.WorkloadBalance, self.datasource,
new_callable=mock.PropertyMock)
self.m_datasource = p_datasource.start()
self.addCleanup(p_datasource.stop)
p_audit_scope = mock.patch.object(
strategies.WorkloadBalance, "audit_scope",
new_callable=mock.PropertyMock
)
self.m_audit_scope = p_audit_scope.start()
self.addCleanup(p_audit_scope.stop)
self.m_audit_scope.return_value = mock.Mock()
self.m_datasource.return_value = mock.Mock(
statistic_aggregation=self.fake_metrics.mock_get_statistics_wb)
self.strategy = strategies.WorkloadBalance(
config=mock.Mock(datasource=self.datasource))
self.strategy.input_parameters = utils.Struct()
self.strategy.input_parameters.update({'metrics': 'cpu_util',
'threshold': 25.0,
'period': 300})
self.strategy.threshold = 25.0
self.strategy._period = 300
self.strategy._meter = "cpu_util"