SIENTIAPDE-1231

Update .gitignore and refactor metrics.py for improved logging and consistency

- Added coverage.xml to .gitignore to prevent tracking of coverage reports.
- Refactored metric labels in metrics.py for consistency in string formatting and improved readability.
- Enhanced logging messages in various activities to ensure uniformity in message formatting.

laborious/metrics.py

@@ -23,50 +23,50 @@ Metric Labels:
 - opc_server_id: Identifier for OPC server operations
 """
 
-from prometheus_client import Gauge, Counter, Histogram
+from prometheus_client import Counter, Gauge, Histogram
 
 # Application health metric
 APP_UP = Gauge(
-    "app_up",
-    "Indicates if the application is running (1) or shutting down (0)",
-    ["pod_id"],
+    'app_up',
+    'Indicates if the application is running (1) or shutting down (0)',
+    ['pod_id'],
 )
 
 # Core labels used across multiple metrics
-CORE_LABELS = ["pod_id", "model_name", "pipeline_name"]
+CORE_LABELS = ['pod_id', 'model_name', 'pipeline_name']
 
 # Prediction operation metrics
 PREDICTIONS_WRITTEN_COUNT = Counter(
-    "laborious_predictions_written_count",
-    "Number of predictions written to the database table predictions",
+    'laborious_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",
-    "Current confidence of each prediction",
+    'laborious_prediction_confidence_monitor',
+    'Current confidence of each prediction',
     CORE_LABELS,
 )
 
 # Performance monitoring metrics
 PREDICTION_RESPONSE_TIME_MONITOR = Histogram(
-    "laborious_prediction_response_time_monitor",
-    "Current response time of each prediction",
+    '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]
+    buckets=[0.01, 0.05, 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, 10.0],
 )
 
 # OPC export metrics
 PREDICTION_OPC_WRITING_COUNT = Counter(
-    "laborious_prediction_opc_writing_count",
-    "Number of predictions written to the OPC server",
-    [*CORE_LABELS, "opc_server_id"],
+    'laborious_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",
-    "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]
+    'laborious_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],
 )