Generalize exceptions & structure of strategies

Many strategies execute very similar statements especially in
pre_execute and some might raise errors that others might not. This
same pattern of many similar statements can also be observed in
strategies their tests.

This patch addresses these issues, firstly; the BaseStrategy class gets
1 additional method _pre_execute which allows for general logic that
most strategies perform at that stage. This method can be executed
before the similarly named method of the superclass. A notable change
is that _pre_execute now handles common exception handling for
ClusterStateStale & ClusterStateNotDefined exceptions.

A similar pattern is applied to the test classes of the strategies
each of these classes now inherits from the TestBaseStrategy class.
This class provides the common attributes almost every test class for
the strategies requires such as: The mocked compute_model, mocked
audit_scope and an instance of FakerModelCollector.

Finally, some minor changes were required in test_strategy_context
& test_audit_handlers and exceptions around 0 nodes in cluster or
storage are removed.

Change-Id: Ia7154376b2448aac65cf17999cc8c3e1c8309b5b

watcher/decision_engine/strategy/strategies/workload_stabilization.py

@@ -290,8 +290,8 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         return normalized_hosts
 
     def get_available_nodes(self):
-        return {node_uuid: node for node_uuid, node in
-                self.compute_model.get_all_compute_nodes().items()
+        nodes = self.compute_model.get_all_compute_nodes().items()
+        return {node_uuid: node for node_uuid, node in nodes
                 if node.state == element.ServiceState.ONLINE.value and
                 node.status == element.ServiceState.ENABLED.value}
 
@@ -506,14 +506,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         return self.solution
 
     def pre_execute(self):
-        LOG.info("Initializing Workload Stabilization")
-
-        if not self.compute_model:
-            raise exception.ClusterStateNotDefined()
-
-        if self.compute_model.stale:
-            raise exception.ClusterStateStale()
-
+        self._pre_execute()
         self.weights = self.input_parameters.weights
         self.metrics = self.input_parameters.metrics
         self.thresholds = self.input_parameters.thresholds