Files
sientia-dataops-laborious_t…/laborious/metrics.py
vitor-aignosi 70f1abe681 SIENTIAPDE-1174
Update dependencies, modify replica count, and implement metrics tracking

- Updated sientia-dataops-library version from 1.3.5 to 1.3.7 in requirements.txt.
- Changed replicaCount in values.yaml from 5 to 3 and incremented image tag from 0.2.7 to 0.3.1.
- Added Prometheus metrics tracking in gates.py and worker.py, including a new write_metrics method.
- Configured Prometheus service and ServiceMonitor in values.yaml for metrics collection.
2025-08-01 10:00:47 -03:00

28 lines
705 B
Python

from prometheus_client import Gauge, Counter
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 = Gauge(
"laborious_prediction_response_time_monitor",
"Current response time of each prediction",
CORE_LABELS,
)