Enable strategy parameters

Strategy provides parameters to customize algorithm behavior. End user
could query then specify parameters for their requirements.

Change-Id: Id097db5f6e79c94b57674c8e5d55b06098abf18c
Implements-bp: optimization-threshold

watcher/tests/decision_engine/strategy/strategies/test_dummy_strategy.py

@@ -17,6 +17,7 @@
 import mock
 
 from watcher.applier.loading import default
+from watcher.common import utils
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
@@ -45,12 +46,16 @@ class TestDummyStrategy(base.TestCase):
 
     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 test_check_parameters(self):
         model = self.fake_cluster.generate_scenario_3_with_2_hypervisors()
         self.m_model.return_value = model
+        self.strategy.input_parameters = utils.Struct()
+        self.strategy.input_parameters.update({'para1': 4.0, 'para2': 'Hi'})
         solution = self.strategy.execute()
         loader = default.DefaultActionLoader()
         for action in solution.actions:

watcher/tests/decision_engine/strategy/strategies/test_outlet_temp_control.py

@@ -21,6 +21,7 @@ import mock
 
 from watcher.applier.loading import default
 from watcher.common import exception
+from watcher.common import utils
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.model import resource
 from watcher.decision_engine.strategy import strategies
@@ -57,6 +58,10 @@ class TestOutletTempControl(base.BaseTestCase):
             statistic_aggregation=self.fake_metrics.mock_get_statistics)
         self.strategy = strategies.OutletTempControl(config=mock.Mock())
 
+        self.strategy.input_parameters = utils.Struct()
+        self.strategy.input_parameters.update({'threshold': 34.3})
+        self.strategy.threshold = 34.3
+
     def test_calc_used_res(self):
         model = self.fake_cluster.generate_scenario_3_with_2_hypervisors()
         self.m_model.return_value = model

watcher/tests/decision_engine/test_sync.py

@@ -154,7 +154,8 @@ class TestSyncer(base.DbTestCase):
         ]
         m_s_list.return_value = [
             objects.Strategy(self.ctx, id=1, name="strategy_1",
-                             goal_id=1, display_name="Strategy 1")
+                             goal_id=1, display_name="Strategy 1",
+                             parameters_spec='{}')
         ]
         self.syncer.sync()
 
@@ -218,7 +219,8 @@ class TestSyncer(base.DbTestCase):
         ]
         m_s_list.return_value = [
             objects.Strategy(self.ctx, id=1, name="strategy_1",
-                             goal_id=1, display_name="original")
+                             goal_id=1, display_name="original",
+                             parameters_spec='{}')
         ]
         self.syncer.sync()