Get planner from solution

support Strategy select different planner
Implements: bp watcher-planner-selector

Change-Id: I586e67f782e2965234826634ba3ff51681af4df8

watcher/decision_engine/audit/base.py

@@ -66,12 +66,10 @@ class AuditHandler(BaseAuditHandler):
         self._planner_loader = loader.DefaultPlannerLoader()
         self.applier_client = rpcapi.ApplierAPI()
 
-    def get_planner(self, audit, request_context):
+    def get_planner(self, solution):
         # because AuditHandler is a singletone we need to avoid race condition.
         # thus we need to load planner every time
-        strategy = self.strategy_context.select_strategy(
-            audit, request_context)
-        planner_name = strategy.planner
+        planner_name = solution.strategy.planner
         LOG.debug("Loading %s", planner_name)
         planner = self._planner_loader.load(name=planner_name)
         return planner
@@ -93,7 +91,7 @@ class AuditHandler(BaseAuditHandler):
                 request_context, audit,
                 action=fields.NotificationAction.PLANNER,
                 phase=fields.NotificationPhase.START)
-            planner = self.get_planner(audit, request_context)
+            planner = self.get_planner(solution)
             action_plan = planner.schedule(request_context, audit.id, solution)
             notifications.audit.send_action_notification(
                 request_context, audit,

watcher/decision_engine/solution/base.py

@@ -72,7 +72,7 @@ class BaseSolution(object):
         :type strategy: :py:class:`~.BaseStrategy` instance
         """
         self.goal = goal
-        self.strategy = strategy
+        self._strategy = strategy
         self.origin = None
         self.model = None
         self.efficacy = efficacy.Efficacy(self.goal, self.strategy)
@@ -85,6 +85,10 @@ class BaseSolution(object):
     def efficacy_indicators(self):
         return self.efficacy.indicators
 
+    @property
+    def strategy(self):
+        return self._strategy
+
     def compute_global_efficacy(self):
         """Compute the global efficacy given a map of efficacy indicators"""
         self.efficacy.compute_global_efficacy()

watcher/tests/decision_engine/solution/test_default_solution.py

@@ -17,6 +17,7 @@
 import mock
 
 from watcher.decision_engine.solution import default
+from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
 
 
@@ -24,7 +25,8 @@ class TestDefaultSolution(base.TestCase):
 
     def test_default_solution(self):
         solution = default.DefaultSolution(
-            goal=mock.Mock(), strategy=mock.Mock())
+            goal=mock.Mock(),
+            strategy=strategies.DummyStrategy(config=mock.Mock()))
         parameters = {
             "source_node": "server1",
             "destination_node": "server2",
@@ -43,10 +45,12 @@ class TestDefaultSolution(base.TestCase):
                          solution.actions[0].get('action_type'))
         self.assertEqual(expected_parameters,
                          solution.actions[0].get('input_parameters'))
+        self.assertEqual('weight', solution.strategy.planner)
 
     def test_default_solution_with_no_input_parameters(self):
         solution = default.DefaultSolution(
-            goal=mock.Mock(), strategy=mock.Mock())
+            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))
@@ -58,3 +62,4 @@ class TestDefaultSolution(base.TestCase):
                          solution.actions[0].get('action_type'))
         self.assertEqual(expected_parameters,
                          solution.actions[0].get('input_parameters'))
+        self.assertEqual('weight', solution.strategy.planner)