Fix problem with Hyperopt out of range

pkg/suggestion/v1beta1/hyperopt/base_service.py

@@ -181,6 +181,9 @@ def getSuggestions(self, trials, request_number):
         # Produce new request_number ids to make new Suggestion
         hyperopt_trial_new_ids = self.fmin.trials.new_trial_ids(request_number)
         random_state = self.fmin.rstate.randint(2**31 - 1)
+
+        # Trial list that must be deployed
+        new_trials = []
         if self.algorithm_name == RANDOM_ALGORITHM_NAME:
             new_trials = self.hyperopt_algorithm(
                 new_ids=hyperopt_trial_new_ids,
@@ -203,7 +206,6 @@ def getSuggestions(self, trials, request_number):
                     **self.algorithm_conf)
                 self.is_first_run = False
             else:
-                new_trials = []
                 for i in range(request_number):
                     # hyperopt_algorithm always returns one new Trial
                     new_trials.append(self.hyperopt_algorithm(
@@ -216,9 +218,13 @@ def getSuggestions(self, trials, request_number):
 
         # Construct return advisor Trials from new hyperopt Trials
         list_of_assignments = []
-        for i in range(request_number):
-            vals = new_trials[i]['misc']['vals']
+        for trial in new_trials:
+            vals = trial['misc']['vals']
             list_of_assignments.append(BaseHyperoptService.convert(self.search_space, vals))
+
+        if len(list_of_assignments) > 0:
+            logger.info("GetSuggestions returns {} new Trial\n".format(len(new_trials)))
+
         return list_of_assignments
 
     @staticmethod