def test_check_parameters(self):
dummy = strategies.DummyStrategy("dummy", "Dummy strategy")
fake_cluster = faker_cluster_state.FakerModelCollector()
model = fake_cluster.generate_scenario_3_with_2_hypervisors()
solution = dummy.execute(model)
loader = default.DefaultActionLoader()
for action in solution.actions:
loaded_action = loader.load(action['action_type'])
loaded_action.input_parameters = action['input_parameters']
loaded_action.validate_parameters()
def test_strategy_preference_override(self, m_conf, m_manager):
"""Test if the global preference can be overridden"""
datasources = mock.Mock(datasources=['ceilometer'])
self.strategy = strategies.DummyStrategy(config=datasources)
m_conf.watcher_datasources.datasources = \
['ceilometer', 'monasca', 'gnocchi']
# Access the property so that the configuration is read in order to
# get the correct datasource
self.strategy.datasource_backend
m_manager.assert_called_once_with(config=datasources, osc=None)
def setUp(self):
super(TestDummyStrategy, self).setUp()
# fake cluster
self.fake_cluster = faker_cluster_state.FakerModelCollector()
p_model = mock.patch.object(strategies.DummyStrategy,
"compute_model",
new_callable=mock.PropertyMock)
self.m_model = p_model.start()
self.addCleanup(p_model.stop)
p_audit_scope = mock.patch.object(strategies.DummyStrategy,
"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_model.return_value = model_root.ModelRoot()
self.strategy = strategies.DummyStrategy(config=mock.Mock())
self.m_model.return_value = model_root.ModelRoot()
self.strategy = strategies.DummyStrategy(config=mock.Mock())
def test_default_solution_with_no_input_parameters(self):
solution = default.DefaultSolution(
goal=mock.Mock(),
strategy=strategies.DummyStrategy(config=mock.Mock()))
solution.add_action(action_type="nop",
resource_id="b199db0c-1408-4d52-b5a5-5ca14de0ff36")
self.assertEqual(1, len(solution.actions))
expected_action_type = "nop"
expected_parameters = {
"resource_id": "b199db0c-1408-4d52-b5a5-5ca14de0ff36"
}
self.assertEqual(expected_action_type,
solution.actions[0].get('action_type'))
self.assertEqual(expected_parameters,
solution.actions[0].get('input_parameters'))
self.assertEqual('weight', solution.strategy.planner)
def test_execute_strategy(self, mock_call, m_model):
m_model.return_value = mock.Mock()
mock_call.return_value = strategies.DummyStrategy(config=mock.Mock())
solution = self.strategy_context.execute_strategy(
self.audit, self.context)
self.assertIsInstance(solution, default.DefaultSolution)
def test_dummy_strategy(self):
dummy = strategies.DummyStrategy("dummy", "Dummy strategy")
fake_cluster = faker_cluster_state.FakerModelCollector()
model = fake_cluster.generate_scenario_3_with_2_hypervisors()
solution = dummy.execute(model)
self.assertEqual(3, len(solution.actions))
def setUp(self):
super(TestBaseStrategyDatasource, self).setUp()
self.strategy = strategies.DummyStrategy(config=mock.Mock(
datasources=None))
def test_dummy_strategy(self):
dummy = strategies.DummyStrategy(config=mock.Mock())
dummy.input_parameters = utils.Struct()
dummy.input_parameters.update({'para1': 4.0, 'para2': 'Hi'})
solution = dummy.execute()
self.assertEqual(3, len(solution.actions))
def setUp(self):
super(TestDummyStrategy, self).setUp()
self.strategy = strategies.DummyStrategy(config=mock.Mock())
