QTZPOC-20

QTZPOC-20: Remove redundant NOSONAR comments across multiple files.

laborious/utils/connectors_config.py

@@ -25,7 +25,7 @@ def build_mlflow_config() -> dict[str, Any]:
         'host': getenv('MLFLOW_HOST', 'http://localhost'),
         'port': int(getenv('MLFLOW_PORT', '5080')),
         'username': getenv('MLFLOW_USERNAME', 'aignosi'),
-        'password': getenv('MLFLOW_PASSWORD', 'aignosi'),  # NOSONAR
+        'password': getenv('MLFLOW_PASSWORD', 'aignosi'),
     }
 
 

laborious/utils/models/import_errors.py

@@ -342,7 +342,7 @@ def summarize_failure(
     """
     if exception is not None:
         cause = _root_cause(exception)
-        return _type_name(cause), _one_line(str(cause))  # NOSONAR
+        return _type_name(cause), _one_line(str(cause))
     return error_type or _UNKNOWN_ERROR_TYPE, _one_line(detail_text or '')
 
 
@@ -361,8 +361,8 @@ def describe_failure_chain(exception: BaseException) -> tuple[str, str]:
     """
     links: list[str] = []
     for candidate in walk_cause_chain(exception):
-        kind = _type_name(candidate)  # NOSONAR
-        message = _one_line(str(candidate))  # NOSONAR
+        kind = _type_name(candidate)
+        message = _one_line(str(candidate))
         # `ApplicationError.__str__` already prefixes its own type, and `MlflowException:
         # MlflowException: …` reads like two failures rather than one.
         if not message:
@@ -422,7 +422,7 @@ def failure_location(exception: BaseException | None) -> tuple[str | None, int |
     if exception is None:
         return None, None
     for candidate in walk_cause_chain(exception):
-        details = getattr(candidate, 'details', None)  # NOSONAR
+        details = getattr(candidate, 'details', None)
         if details and isinstance(details[0], dict) and 'step' in details[0]:
             location = details[0]
             gate = location.get('gate')

laborious/utils/repository/model_repository.py

@@ -1150,7 +1150,7 @@ class MLFlowRepository(SientiaMonitoring):
         prediction_data.index = input_index
 
         # Merge prediction data with retrain_dataset on index
-        prediction_data = pd.merge(  # NOSONAR
+        prediction_data = pd.merge(
             retrain_dataset, prediction_data, left_index=True, right_index=True, how='left'
         )
 
@@ -1275,7 +1275,7 @@ class MLFlowRepository(SientiaMonitoring):
             # Aligns data with treated data indexes to get target variable
             aligned_data = data.loc[treated_data.index]
             aligned_series = aligned_data[target_name]
-            retrain_dataset = pd.merge(  # NOSONAR
+            retrain_dataset = pd.merge(
                 treated_data, aligned_series, left_index=True, right_index=True
             )
         else:

laborious/utils/repository/opc_repository.py

@@ -79,7 +79,7 @@ def _opc_authentication_token_str(client: Client | None) -> str:
         if tok is None:
             return 'unknown'
         return str(tok)
-    except Exception:  # NOSONAR - best-effort label for logs/metrics, must not fail loud
+    except Exception:  # best-effort label for logs/metrics, must not fail loud
         return 'unknown'
 
 
@@ -94,8 +94,8 @@ def _opc_status_from_exception(exc: BaseException) -> str:
         str: Status class name or generic Python exception name.
     """
     for candidate in walk_cause_chain(exc):
-        if isinstance(candidate, UaStatusCodeError):  # NOSONAR
-            return type(candidate).__name__  # NOSONAR
+        if isinstance(candidate, UaStatusCodeError):
+            return type(candidate).__name__
     return type(exc).__name__