fixes: linting for whitespace on blank lines

Author: Nazzcodek

app/api/logs.py

@@ -91,10 +91,7 @@ async def get_log(
     log = await log_service.get_log_by_id(log_id)
 
     if not log:
-        raise HTTPException(
-            status_code=status.HTTP_404_NOT_FOUND,
-            detail="Log entry not found"
-        )
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Log entry not found")
 
     return LogEntryResponse.model_validate(log)
 
@@ -114,18 +111,18 @@ async def get_ai_status(
     Note: When AI fails, system automatically falls back to basic analysis.
     """
     settings = get_settings()
-    ai_enabled = getattr(settings, 'ai_analysis_enabled', True)
+    ai_enabled = getattr(settings, "ai_analysis_enabled", True)
 
     return APIResponse(
         data={
             "ai_enabled": ai_enabled,
             "processing_mode": (
                 "AI with automatic fallback" if ai_enabled else "Basic analysis only"
             ),
-            "ai_timeout_seconds": getattr(settings, 'ai_timeout_seconds', 10),
-            "ai_retry_attempts": getattr(settings, 'ai_retry_attempts', 2),
-            "ai_confidence_threshold": getattr(settings, 'ai_confidence_threshold', 0.5),
-            "real_time_processing": getattr(settings, 'enable_real_time_processing', True),
+            "ai_timeout_seconds": getattr(settings, "ai_timeout_seconds", 10),
+            "ai_retry_attempts": getattr(settings, "ai_retry_attempts", 2),
+            "ai_confidence_threshold": getattr(settings, "ai_confidence_threshold", 0.5),
+            "real_time_processing": getattr(settings, "enable_real_time_processing", True),
             "note": "When AI fails, system automatically uses basic analysis as fallback",
         },
         status_code=200,
@@ -157,9 +154,7 @@ async def toggle_ai_processing(
     logger.info(
         "ai_processing_toggled",
         ai_enabled=enable_ai,
-        processing_mode=(
-            "AI with automatic fallback" if enable_ai else "Basic analysis only"
-        ),
+        processing_mode=("AI with automatic fallback" if enable_ai else "Basic analysis only"),
         user=current_user.get("sub", "unknown"),
     )
 
@@ -204,24 +199,15 @@ async def get_processing_stats(
     start_date = end_date - timedelta(hours=24)
 
     _, error_count = await log_service.get_logs(
-        log_level="ERROR",
-        start_date=start_date,
-        end_date=end_date,
-        limit=1
+        log_level="ERROR", start_date=start_date, end_date=end_date, limit=1
     )
 
     _, warning_count = await log_service.get_logs(
-        log_level="WARNING",
-        start_date=start_date,
-        end_date=end_date,
-        limit=1
+        log_level="WARNING", start_date=start_date, end_date=end_date, limit=1
     )
 
     _, info_count = await log_service.get_logs(
-        log_level="INFO",
-        start_date=start_date,
-        end_date=end_date,
-        limit=1
+        log_level="INFO", start_date=start_date, end_date=end_date, limit=1
     )
 
     total_24h = error_count + warning_count + info_count
@@ -238,9 +224,9 @@ async def get_processing_stats(
                 "error_rate": round(error_rate, 2),
             },
             "processing_status": {
-                "ai_enabled": getattr(get_settings(), 'ai_analysis_enabled', True),
+                "ai_enabled": getattr(get_settings(), "ai_analysis_enabled", True),
                 "real_time_processing": getattr(
-                    get_settings(), 'enable_real_time_processing', True
+                    get_settings(), "enable_real_time_processing", True
                 ),
             },
         },

app/core/auth_external.py

@@ -34,7 +34,7 @@ async def validate_token_with_external_service(token: str) -> Optional[Dict[str,
             response = await client.post(
                 f"{settings.auth_service_url}/validate-token",
                 json={"token": token},
-                headers={"Content-Type": "application/json"}
+                headers={"Content-Type": "application/json"},
             )
 
             if response.status_code == 200:
@@ -164,11 +164,7 @@ def create_test_token(user_id: str = "test-user", roles: list = None) -> str:
         "exp": datetime.utcnow() + timedelta(minutes=settings.jwt_expiration_minutes),
     }
 
-    token = jwt.encode(
-        payload,
-        settings.jwt_secret_key,
-        algorithm=settings.jwt_algorithm
-    )
+    token = jwt.encode(payload, settings.jwt_secret_key, algorithm=settings.jwt_algorithm)
 
     logger.info("test_token_created", user_id=user_id)
     return token

app/core/config.py

@@ -47,9 +47,7 @@ class Settings(BaseSettings):
     rabbitmq_user: str = Field(default="guest", description="RabbitMQ username")
     rabbitmq_password: str = Field(default="guest", description="RabbitMQ password")
     rabbitmq_vhost: str = Field(default="/", description="RabbitMQ virtual host")
-    rabbitmq_prefetch_count: int = Field(
-        default=10, ge=1, description="RabbitMQ prefetch count"
-    )
+    rabbitmq_prefetch_count: int = Field(default=10, ge=1, description="RabbitMQ prefetch count")
     rabbitmq_reconnect_delay: int = Field(
         default=5, ge=1, description="RabbitMQ reconnect delay in seconds"
     )
@@ -69,9 +67,7 @@ class Settings(BaseSettings):
         description="JWT secret key",
     )
     jwt_algorithm: str = Field(default="HS256", description="JWT algorithm")
-    jwt_expiration_minutes: int = Field(
-        default=60, ge=1, description="JWT expiration in minutes"
-    )
+    jwt_expiration_minutes: int = Field(default=60, ge=1, description="JWT expiration in minutes")
     api_gateway_public_key: Optional[str] = Field(
         default=None, description="API Gateway public key for JWT verification"
     )
@@ -103,13 +99,10 @@ class Settings(BaseSettings):
 
     # AI Configuration
     ai_analysis_enabled: bool = Field(
-        default=True, description=(
-            "Enable AI-powered log analysis (if disabled, uses basic analysis)"
-        )
-    )
-    ai_timeout_seconds: int = Field(
-        default=10, ge=1, description="AI analysis timeout in seconds"
+        default=True,
+        description=("Enable AI-powered log analysis (if disabled, uses basic analysis)"),
     )
+    ai_timeout_seconds: int = Field(default=10, ge=1, description="AI analysis timeout in seconds")
     ai_retry_attempts: int = Field(
         default=2, ge=0, description="Number of AI analysis retry attempts"
     )
@@ -132,9 +125,7 @@ class Settings(BaseSettings):
     rate_limit_requests: int = Field(
         default=100, ge=1, description="Rate limit requests per period"
     )
-    rate_limit_period: int = Field(
-        default=60, ge=1, description="Rate limit period in seconds"
-    )
+    rate_limit_period: int = Field(default=60, ge=1, description="Rate limit period in seconds")
 
     # CORS Settings
     cors_enabled: bool = Field(default=True, description="Enable CORS")
@@ -164,9 +155,7 @@ class Settings(BaseSettings):
     enable_real_time_processing: bool = Field(
         default=True, description="Enable real-time log processing"
     )
-    enable_pattern_clustering: bool = Field(
-        default=True, description="Enable pattern clustering"
-    )
+    enable_pattern_clustering: bool = Field(default=True, description="Enable pattern clustering")
     enable_ml_anomaly_detection: bool = Field(
         default=True, description="Enable ML-based anomaly detection"
     )