SIENTIAPDE-1174

pdate metrics tracking to include response time histogram

- Changed PREDICTION_RESPONSE_TIME_MONITOR from Gauge to Histogram for better response time analysis.
- Updated response time observation method in gates.py to utilize the new Histogram functionality.

laborious/activities/gates.py

@@ -340,4 +340,4 @@ class Gates(BaseActivity):
             pod_id=self.pod_id,
             model_name=metadata['model_name'],
             pipeline_name=metadata['workflow_name']
-        ).set(response_time)
+        ).observe(response_time)

laborious/metrics.py

@@ -1,4 +1,4 @@
-from prometheus_client import Gauge, Counter
+from prometheus_client import Gauge, Counter, Histogram
 
 APP_UP = Gauge(
     "app_up",
@@ -20,8 +20,9 @@ PREDICTION_CONFIDENCE_MONITOR = Gauge(
     CORE_LABELS,
 )
 
-PREDICTION_RESPONSE_TIME_MONITOR = Gauge(
+PREDICTION_RESPONSE_TIME_MONITOR = Histogram(
     "laborious_prediction_response_time_monitor",
     "Current response time of each prediction",
     CORE_LABELS,
+    buckets=[0.01, 0.05, 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, 10.0]
 )