Align log levels

Author: tchap

pkg/ext-proc/backend/datastore.go

@@ -99,7 +99,7 @@ func RandomWeightedDraw(logger logr.Logger, model *v1alpha1.InferenceModel, seed
 	for _, model := range model.Spec.TargetModels {
 		weights += *model.Weight
 	}
-	logger.V(logutil.VERBOSE).Info("Weights for model computed", "model", model.Name, "weights", weights)
+	logger.V(logutil.TRACE).Info("Weights for model computed", "model", model.Name, "weights", weights)
 	randomVal := r.Int31n(weights)
 	for _, model := range model.Spec.TargetModels {
 		if randomVal < *model.Weight {

pkg/ext-proc/scheduling/filter.go

@@ -42,8 +42,8 @@ func (f *filter) Name() string {
 }
 
 func (f *filter) Filter(logger logr.Logger, req *LLMRequest, pods []*backend.PodMetrics) ([]*backend.PodMetrics, error) {
-	loggerVerbose := logger.V(logutil.VERBOSE)
-	loggerVerbose.Info("Running a filter", "name", f.Name(), "podCount", len(pods))
+	loggerTrace := logger.V(logutil.TRACE)
+	loggerTrace.Info("Running a filter", "name", f.Name(), "podCount", len(pods))
 
 	filtered, err := f.filter(logger, req, pods)
 
@@ -56,7 +56,7 @@ func (f *filter) Filter(logger logr.Logger, req *LLMRequest, pods []*backend.Pod
 		if f.nextOnSuccess != nil {
 			next = f.nextOnSuccess
 		}
-		loggerVerbose.Info("Filter succeeded", "filter", f.Name(), "next", next.Name(), "filteredPodCount", len(filtered))
+		loggerTrace.Info("Filter succeeded", "filter", f.Name(), "next", next.Name(), "filteredPodCount", len(filtered))
 		// On success, pass the filtered result to the next filter.
 		return next.Filter(logger, req, filtered)
 	} else {
@@ -67,7 +67,7 @@ func (f *filter) Filter(logger logr.Logger, req *LLMRequest, pods []*backend.Pod
 		if f.nextOnFailure != nil {
 			next = f.nextOnFailure
 		}
-		loggerVerbose.Info("Filter failed", "filter", f.Name(), "next", next.Name())
+		loggerTrace.Info("Filter failed", "filter", f.Name(), "next", next.Name())
 		// On failure, pass the initial set of pods to the next filter.
 		return next.Filter(logger, req, pods)
 	}