Files
sientia-dataops-laborious_t…/laborious/metrics.py
vitor-aignosi c92e2f41c3 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.
2025-08-04 16:09:26 -03:00

29 lines
781 B
Python

from prometheus_client import Gauge, Counter, Histogram
APP_UP = Gauge(
"app_up",
"Indicates if the application is running (1) or shutting down (0)",
["pod_id"],
)
CORE_LABELS = ["pod_id", "model_name", "pipeline_name"]
PREDICTIONS_WRITTEN_COUNT = Counter(
"laborious_predictions_written_count",
"Number of predictions written to the database table predictions",
CORE_LABELS,
)
PREDICTION_CONFIDENCE_MONITOR = Gauge(
"laborious_prediction_confidence_monitor",
"Current confidence of each prediction",
CORE_LABELS,
)
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]
)