def setUp(self):
super(TestVMWorkloadConsolidation, self).setUp()
# fake cluster
self.fake_c_cluster = faker_cluster_and_metrics.FakerModelCollector()
p_datasource = mock.patch.object(strategies.VMWorkloadConsolidation,
'datasource_backend',
new_callable=mock.PropertyMock)
self.m_datasource = p_datasource.start()
self.addCleanup(p_datasource.stop)
# fake metrics
self.fake_metrics = self.fake_datasource_cls(
self.m_c_model.return_value)
self.m_datasource.return_value = mock.Mock(
get_instance_cpu_usage=(self.fake_metrics.get_instance_cpu_util),
get_instance_memory_usage=(
self.fake_metrics.get_instance_ram_util),
get_instance_root_disk_allocated=(
self.fake_metrics.get_instance_disk_root_size),
)
self.strategy = strategies.VMWorkloadConsolidation(config=mock.Mock(
datasources=self.datasource))
def setUp(self):
super(TestVMWorkloadConsolidation, self).setUp()
# fake cluster
self.fake_cluster = faker_cluster_and_metrics.FakerModelCollector()
p_model = mock.patch.object(strategies.VMWorkloadConsolidation,
"compute_model",
new_callable=mock.PropertyMock)
self.m_model = p_model.start()
self.addCleanup(p_model.stop)
p_datasource = mock.patch.object(strategies.VMWorkloadConsolidation,
self.datasource,
new_callable=mock.PropertyMock)
self.m_datasource = p_datasource.start()
self.addCleanup(p_datasource.stop)
p_audit_scope = mock.patch.object(strategies.VMWorkloadConsolidation,
"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()
# fake metrics
self.fake_metrics = self.fake_datasource_cls(self.m_model.return_value)
self.m_model.return_value = model_root.ModelRoot()
self.m_datasource.return_value = mock.Mock(
statistic_aggregation=self.fake_metrics.mock_get_statistics)
self.strategy = strategies.VMWorkloadConsolidation(config=mock.Mock(
datasource=self.datasource))
def setUp(self):
super(TestSavingEnergy, self).setUp()
mock_node1 = mock.Mock()
mock_node2 = mock.Mock()
mock_node1.to_dict.return_value = {
'uuid': '922d4762-0bc5-4b30-9cb9-48ab644dd861'
}
mock_node2.to_dict.return_value = {
'uuid': '922d4762-0bc5-4b30-9cb9-48ab644dd862'
}
self.fake_nodes = [mock_node1, mock_node2]
# fake cluster
self.fake_cluster = faker_cluster_and_metrics.FakerModelCollector()
p_model = mock.patch.object(strategies.SavingEnergy,
"compute_model",
new_callable=mock.PropertyMock)
self.m_model = p_model.start()
self.addCleanup(p_model.stop)
p_ironic = mock.patch.object(clients.OpenStackClients, 'ironic')
self.m_ironic = p_ironic.start()
self.addCleanup(p_ironic.stop)
p_nova = mock.patch.object(clients.OpenStackClients, 'nova')
self.m_nova = p_nova.start()
self.addCleanup(p_nova.stop)
p_model = mock.patch.object(strategies.SavingEnergy,
"compute_model",
new_callable=mock.PropertyMock)
self.m_model = p_model.start()
self.addCleanup(p_model.stop)
p_audit_scope = mock.patch.object(strategies.SavingEnergy,
"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_ironic.node.list.return_value = self.fake_nodes
self.strategy = strategies.SavingEnergy(config=mock.Mock())
self.strategy.input_parameters = utils.Struct()
self.strategy.input_parameters.update({
'free_used_percent': 10.0,
'min_free_hosts_num': 1
})
self.strategy.free_used_percent = 10.0
self.strategy.min_free_hosts_num = 1
self.strategy._ironic_client = self.m_ironic
self.strategy._nova_client = self.m_nova