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SIENTIAPDE-1243: Rename project from 'laborious' to 'model-manager' across codebase and configuration. This includes updating project names in environment variables, Makefiles, README, metrics, and Helm chart values.

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Bruno Domingues
2025-10-01 14:41:24 -03:00
parent aba4a3f1a5
commit bc4d98f78d
11 changed files with 45 additions and 45 deletions
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14
model_manager/metrics.py
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@@ -1,7 +1,7 @@
"""
Laborious Metrics Module
Model Manager Metrics Module
This module defines all Prometheus metrics used by the Sientia DataOps Laborious system
This module defines all Prometheus metrics used by the Sientia DataOps Model Manager system
for monitoring and observability. The metrics provide insights into system performance,
prediction quality, and operational health.
@@ -37,21 +37,21 @@ CORE_LABELS = ["pod_id", "model_name", "pipeline_name"]
# Prediction operation metrics
PREDICTIONS_WRITTEN_COUNT = Counter(
"laborious_predictions_written_count",
"model_manager_predictions_written_count",
"Number of predictions written to the database table predictions",
CORE_LABELS,
)
# Prediction quality metrics
PREDICTION_CONFIDENCE_MONITOR = Gauge(
"laborious_prediction_confidence_monitor",
"model_manager_prediction_confidence_monitor",
"Current confidence of each prediction",
CORE_LABELS,
)
# Performance monitoring metrics
PREDICTION_RESPONSE_TIME_MONITOR = Histogram(
"laborious_prediction_response_time_monitor",
"model_manager_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]
@@ -59,13 +59,13 @@ PREDICTION_RESPONSE_TIME_MONITOR = Histogram(
# OPC export metrics
PREDICTION_OPC_WRITING_COUNT = Counter(
"laborious_prediction_opc_writing_count",
"model_manager_prediction_opc_writing_count",
"Number of predictions written to the OPC server",
[*CORE_LABELS, "opc_server_id"],
)
PREDICTION_OPC_WRITING_RESPONSE_TIME_MONITOR = Histogram(
"laborious_prediction_opc_writing_response_time_monitor",
"model_manager_prediction_opc_writing_response_time_monitor",
"Current response time of each prediction written to the OPC server",
[*CORE_LABELS, "opc_server_id"],
buckets=[0.01, 0.05, 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, 10.0]