fix pylint issue

Author: Abdul-Microsoft

src/backend/app.py

@@ -96,7 +96,7 @@ async def lifespan(app: FastAPI):
         set_sql_agents(sql_agents)
         logger.info("SQL agents initialized successfully.")
 
-    except Exception as exc:
+    except Exception:  # noqa: BLE001
         logger.error("Failed to initialize SQL agents")
         # Don't raise the exception to allow the app to start even if agents fail
 
@@ -115,7 +115,7 @@ async def lifespan(app: FastAPI):
         if azure_client:
             await azure_client.close()
 
-    except Exception as exc:
+    except Exception:  # noqa: BLE001
         logger.error("Error during agent cleanup")
 
 

src/backend/common/telemetry/patch_instrumentor.py

@@ -1,4 +1,15 @@
-"""\nPatch for Azure AI telemetry instrumentors.\n\nFixes GitHub issue: https://github.com/microsoft/semantic-kernel/issues/13715\n\nThe bug: agent_api_response_to_str() in both azure.ai.agents and azure.ai.projects\nraises ValueError when response_format is a dict (e.g. from Semantic Kernel's AzureAIAgent).\nIt only handles str and None types.\n\nThe fix: Monkey-patch that method to convert dict/other types to JSON string instead of raising.\nMust be called BEFORE configure_azure_monitor() triggers any instrumentation.\n"""
+"""
+Patch for Azure AI telemetry instrumentors.
+
+Fixes GitHub issue: https://github.com/microsoft/semantic-kernel/issues/13715
+
+The bug: agent_api_response_to_str() in both azure.ai.agents and azure.ai.projects
+raises ValueError when response_format is a dict (e.g. from Semantic Kernel's AzureAIAgent).
+It only handles str and None types.
+
+The fix: Monkey-patch that method to convert dict/other types to JSON string instead of raising.
+Must be called BEFORE configure_azure_monitor() triggers any instrumentation.
+"""
 
 import json
 import logging
@@ -23,7 +34,13 @@ def patch_instrumentors():
     """
     Patch Azure AI telemetry instrumentors to handle dict response_format.
 
-    This fixes the ValueError: \"Unknown response format <class 'dict'>\" error\n    that occurs when Semantic Kernel's AzureAIAgent passes a dict as response_format\n    and Azure Monitor telemetry instrumentor tries to serialize it.\n\n    Patches both azure.ai.agents and azure.ai.projects packages.\n    Must be called BEFORE configure_azure_monitor().\n    """
+    This fixes the ValueError: "Unknown response format <class 'dict'>" error
+    that occurs when Semantic Kernel's AzureAIAgent passes a dict as response_format
+    and Azure Monitor telemetry instrumentor tries to serialize it.
+
+    Patches both azure.ai.agents and azure.ai.projects packages.
+    Must be called BEFORE configure_azure_monitor().
+    """
     # Patch azure.ai.agents (primary package with the bug)
     try:
         from azure.ai.agents.telemetry._ai_agents_instrumentor import (

src/backend/sql_agents/convert_script.py

@@ -5,7 +5,6 @@
 """
 
 import json
-import logging
 
 from api.status_updates import send_status_update
 

src/backend/sql_agents/process_batch.py

@@ -4,8 +4,6 @@
 It is the main entry point for the SQL migration process.
 """
 
-import logging
-
 from api.status_updates import send_status_update
 
 from common.logger.app_logger import AppLogger