chore: ran linting

surfsense_backend/app/connectors/composio_google_drive_connector.py

@@ -399,7 +399,9 @@ async def _extract_text_with_etl(
     from logging import ERROR, getLogger
 
     etl_service = config.ETL_SERVICE
-    logger.debug(f"[_extract_text_with_etl] START - file_path={file_path}, file_name={file_name}, etl_service={etl_service}")
+    logger.debug(
+        f"[_extract_text_with_etl] START - file_path={file_path}, file_name={file_name}, etl_service={etl_service}"
+    )
 
     try:
         if etl_service == "UNSTRUCTURED":
@@ -419,10 +421,14 @@ async def _extract_text_with_etl(
             )
 
             docs = await loader.aload()
-            logger.debug(f"[_extract_text_with_etl] UNSTRUCTURED loaded {len(docs) if docs else 0} docs")
+            logger.debug(
+                f"[_extract_text_with_etl] UNSTRUCTURED loaded {len(docs) if docs else 0} docs"
+            )
             if docs:
                 result = await convert_document_to_markdown(docs)
-                logger.debug(f"[_extract_text_with_etl] UNSTRUCTURED result: {len(result) if result else 0} chars")
+                logger.debug(
+                    f"[_extract_text_with_etl] UNSTRUCTURED result: {len(result) if result else 0} chars"
+                )
                 return result
             logger.debug("[_extract_text_with_etl] UNSTRUCTURED returned no docs")
             return None
@@ -447,12 +453,18 @@ async def _extract_text_with_etl(
             markdown_documents = await result.aget_markdown_documents(
                 split_by_page=False
             )
-            logger.debug(f"[_extract_text_with_etl] LLAMACLOUD got {len(markdown_documents) if markdown_documents else 0} markdown docs")
+            logger.debug(
+                f"[_extract_text_with_etl] LLAMACLOUD got {len(markdown_documents) if markdown_documents else 0} markdown docs"
+            )
             if markdown_documents:
                 text = markdown_documents[0].text
-                logger.debug(f"[_extract_text_with_etl] LLAMACLOUD result: {len(text) if text else 0} chars")
+                logger.debug(
+                    f"[_extract_text_with_etl] LLAMACLOUD result: {len(text) if text else 0} chars"
+                )
                 return text
-            logger.debug("[_extract_text_with_etl] LLAMACLOUD returned no markdown docs")
+            logger.debug(
+                "[_extract_text_with_etl] LLAMACLOUD returned no markdown docs"
+            )
             return None
 
         elif etl_service == "DOCLING":
@@ -480,20 +492,29 @@ async def _extract_text_with_etl(
                     result = await docling_service.process_document(
                         file_path, file_name
                     )
-                    logger.debug(f"[_extract_text_with_etl] DOCLING result keys: {list(result.keys()) if result else 'None'}")
+                    logger.debug(
+                        f"[_extract_text_with_etl] DOCLING result keys: {list(result.keys()) if result else 'None'}"
+                    )
                 finally:
                     pdfminer_logger.setLevel(original_level)
 
             content = result.get("content")
-            logger.debug(f"[_extract_text_with_etl] DOCLING content: {len(content) if content else 0} chars")
+            logger.debug(
+                f"[_extract_text_with_etl] DOCLING content: {len(content) if content else 0} chars"
+            )
             return content
         else:
-            logger.warning(f"[_extract_text_with_etl] Unknown ETL service: {etl_service}")
+            logger.warning(
+                f"[_extract_text_with_etl] Unknown ETL service: {etl_service}"
+            )
             return None
 
     except Exception as e:
-        logger.error(f"[_extract_text_with_etl] ETL extraction EXCEPTION for {file_name}: {e!s}")
+        logger.error(
+            f"[_extract_text_with_etl] ETL extraction EXCEPTION for {file_name}: {e!s}"
+        )
         import traceback
+
         logger.error(f"[_extract_text_with_etl] Traceback: {traceback.format_exc()}")
         return None
 

surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx

@@ -390,7 +390,7 @@ export default function NewChatPage() {
 		}
 		setIsRunning(false);
 	}, []);
-	
+
 	// Handle new message from user
 	const onNew = useCallback(
 		async (message: AppendMessage) => {
@@ -1357,14 +1357,11 @@ export default function NewChatPage() {
 	);
 
 	// Handle reloading/refreshing the last AI response
-	const onReload = useCallback(
+	const onReload = useCallback(async () => {
-		async () => {
+		// parentId is the ID of the message to reload from (the user message)
-			// parentId is the ID of the message to reload from (the user message)
+		// We call regenerate without a query to use the same query
-			// We call regenerate without a query to use the same query
+		await handleRegenerate(null);
-			await handleRegenerate(null);
+	}, [handleRegenerate]);
-		},
-		[handleRegenerate]
-	);
 
 	// Create external store runtime with attachment support
 	const runtime = useExternalStoreRuntime({

surfsense_web/components/new-chat/document-mention-picker.tsx

@@ -417,8 +417,8 @@ export const DocumentMentionPicker = forwardRef<
 							<Skeleton className="h-[16px] w-24" />
 						</div>
 						{["a", "b", "c", "d", "e"].map((id, i) => (
-							<div 
+							<div
-								key={id} 
+								key={id}
 								className={cn(
 									"w-full flex items-center gap-2 px-3 py-2 text-left rounded-md",
 									i >= 3 && "hidden sm:flex"
@@ -428,7 +428,7 @@ export const DocumentMentionPicker = forwardRef<
 									<Skeleton className="h-4 w-4" />
 								</span>
 								<span className="flex-1 text-sm">
-									<Skeleton className="h-[20px]" style={{ width: `${60 + (i * 7) % 30}%` }} />
+									<Skeleton className="h-[20px]" style={{ width: `${60 + ((i * 7) % 30)}%` }} />
 								</span>
 							</div>
 						))}