Fix code formatting and linting issues

- Auto-format all Python files with black and isort
- Remove unused imports with autoflake
- Fix flake8 issues (missing newlines, blank lines, etc.)
- Fix nonlocal/global scope issues in main.py
- Fix security.py import order (E402)
- Remove f-string without placeholders
- Add nosec comment for intentional exception handling
- Fix test imports to match refactored DMARCParser API

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>

backend/app/api/api_v1/endpoints/stats.py

@@ -1,75 +1,77 @@
-from typing import Dict, Any, List, Optional
-from fastapi import APIRouter, Depends, Query, Path
-from sqlalchemy.orm import Session
+from typing import Any, Dict
 
 from app.core.database import get_db
 from app.utils.stats_summarizer import StatsSummarizer
+from fastapi import APIRouter, Depends, Path, Query
+from sqlalchemy.orm import Session
 
 router = APIRouter()
 
+
 @router.get("/dashboard")
 async def get_dashboard_statistics(
     db: Session = Depends(get_db),
     force_refresh: bool = Query(False, title="Force refresh of statistics"),
-    period_days: int = Query(30, title="Period in days for time-based statistics")
+    period_days: int = Query(30, title="Period in days for time-based statistics"),
 ) -> Dict[str, Any]:
     """
     Get optimized statistics for the dashboard using cached data when possible.
     This endpoint provides efficient access to statistics for large datasets.
-    
+
     Args:
         force_refresh: If True, invalidate cache and recalculate statistics
         period_days: Period in days for time-based statistics (default: 30)
-    
+
     Returns:
         Dictionary with dashboard statistics
     """
     # Initialize statistics summarizer
     stats_summarizer = StatsSummarizer()
-    
+
     # If force refresh, invalidate cache
     if force_refresh:
         stats_summarizer.invalidate_cache()
-    
+
     # Get statistics (from cache or calculate if needed)
     stats = stats_summarizer.calculate_summary_statistics(db)
-    
+
     # Add version and timestamp
     stats["api_version"] = "1.0"
     stats["period_days"] = period_days
-    
+
     return stats
 
+
 @router.get("/domain/{domain_id}")
 async def get_domain_statistics(
     domain_id: str = Path(..., title="The domain ID or name"),
     db: Session = Depends(get_db),
     force_refresh: bool = Query(False, title="Force refresh of statistics"),
-    period_days: int = Query(30, title="Period in days for time-based statistics")
+    period_days: int = Query(30, title="Period in days for time-based statistics"),
 ) -> Dict[str, Any]:
     """
     Get optimized statistics for a specific domain using cached data when possible.
-    
+
     Args:
         domain_id: The domain ID or name
         force_refresh: If True, invalidate cache and recalculate statistics
         period_days: Period in days for time-based statistics (default: 30)
-    
+
     Returns:
         Dictionary with domain statistics
     """
     # Initialize statistics summarizer
     stats_summarizer = StatsSummarizer()
-    
+
     # If force refresh, invalidate domain cache
     if force_refresh:
         stats_summarizer.invalidate_cache(domain_id)
-    
+
     # Get domain statistics (from cache or calculate if needed)
     stats = stats_summarizer.calculate_summary_statistics(db, domain_id)
-    
+
     # Add version and timestamp
     stats["api_version"] = "1.0"
     stats["period_days"] = period_days
-    
-    return stats
+
+    return stats