workspace working

LightRAG-main/lightrag/api/routers/document_routes.py

@@ -17,12 +17,13 @@ from fastapi import (
     Depends,
     File,
     HTTPException,
+    Request,
     UploadFile,
 )
 from pydantic import BaseModel, Field, field_validator
 
 from lightrag import LightRAG
-from lightrag.base import DeletionResult, DocProcessingStatus, DocStatus
+from lightrag.base import DeletionResult, DocProcessingStatus, DocStatus, StoragesStatus
 from lightrag.utils import generate_track_id
 from lightrag.api.utils_api import get_combined_auth_dependency
 from ..config import global_args
@@ -1612,17 +1613,40 @@ async def background_delete_documents(
 def create_document_routes(
     workspace_manager, api_key: Optional[str] = None
 ):
-    # Get default RAG instance and document manager from workspace manager
-    rag = workspace_manager.get_rag()
-    doc_manager = workspace_manager.get_document_manager()
-    
     # Create combined auth dependency for document routes
     combined_auth = get_combined_auth_dependency(api_key)
+    
+    # Dependency to get workspace-specific RAG and DocumentManager based on X-Workspace header
+    async def get_workspace_rag_and_manager(request: Request):
+        workspace = request.headers.get("X-Workspace", "").strip()
+        rag = workspace_manager.get_rag(workspace)
+        doc_manager = workspace_manager.get_document_manager(workspace)
+        # Ensure storages are initialized for this workspace
+        try:
+            # Always attempt to initialize storages if not already initialized
+            logger.info(f"Workspace '{workspace}': storages status = {rag._storages_status}")
+            if rag._storages_status != StoragesStatus.FINALIZED:
+                logger.info(f"Initializing storages for workspace '{workspace}'")
+                await rag.initialize_storages()
+                logger.info(f"Storages initialized, status now = {rag._storages_status}")
+            # Debug: check doc_status lock
+            if hasattr(rag, 'doc_status') and hasattr(rag.doc_status, '_storage_lock'):
+                lock = rag.doc_status._storage_lock
+                logger.info(f"doc_status._storage_lock = {lock}, type = {type(lock)}")
+                if lock is None:
+                    logger.error("doc_status._storage_lock is None! This will cause errors.")
+        except Exception as e:
+            logger.error(f"Failed to initialize storages for workspace '{workspace}': {e}")
+            raise HTTPException(status_code=500, detail=f"Storage initialization failed: {e}")
+        return rag, doc_manager
 
     @router.post(
         "/scan", response_model=ScanResponse, dependencies=[Depends(combined_auth)]
     )
-    async def scan_for_new_documents(background_tasks: BackgroundTasks):
+    async def scan_for_new_documents(
+        background_tasks: BackgroundTasks,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager)
+    ):
         """
         Trigger the scanning process for new documents.
 
@@ -1633,6 +1657,7 @@ def create_document_routes(
         Returns:
             ScanResponse: A response object containing the scanning status and track_id
         """
+        rag, doc_manager = workspace_rag_and_manager
         # Generate track_id with "scan" prefix for scanning operation
         track_id = generate_track_id("scan")
 
@@ -1648,7 +1673,9 @@ def create_document_routes(
         "/upload", response_model=InsertResponse, dependencies=[Depends(combined_auth)]
     )
     async def upload_to_input_dir(
-        background_tasks: BackgroundTasks, file: UploadFile = File(...)
+        background_tasks: BackgroundTasks,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+        file: UploadFile = File(...)
     ):
         """
         Upload a file to the input directory and index it.
@@ -1659,6 +1686,7 @@ def create_document_routes(
 
         Args:
             background_tasks: FastAPI BackgroundTasks for async processing
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
             file (UploadFile): The file to be uploaded. It must have an allowed extension.
 
         Returns:
@@ -1668,6 +1696,7 @@ def create_document_routes(
         Raises:
             HTTPException: If the file type is not supported (400) or other errors occur (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Sanitize filename to prevent Path Traversal attacks
             safe_filename = sanitize_filename(file.filename, doc_manager.input_dir)
@@ -1710,7 +1739,8 @@ def create_document_routes(
         "/text", response_model=InsertResponse, dependencies=[Depends(combined_auth)]
     )
     async def insert_text(
-        request: InsertTextRequest, background_tasks: BackgroundTasks
+        request: InsertTextRequest, background_tasks: BackgroundTasks,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager)
     ):
         """
         Insert text into the RAG system.
@@ -1721,6 +1751,7 @@ def create_document_routes(
         Args:
             request (InsertTextRequest): The request body containing the text to be inserted.
             background_tasks: FastAPI BackgroundTasks for async processing
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             InsertResponse: A response object containing the status of the operation.
@@ -1728,6 +1759,7 @@ def create_document_routes(
         Raises:
             HTTPException: If an error occurs during text processing (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Generate track_id for text insertion
             track_id = generate_track_id("insert")
@@ -1756,7 +1788,8 @@ def create_document_routes(
         dependencies=[Depends(combined_auth)],
     )
     async def insert_texts(
-        request: InsertTextsRequest, background_tasks: BackgroundTasks
+        request: InsertTextsRequest, background_tasks: BackgroundTasks,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager)
     ):
         """
         Insert multiple texts into the RAG system.
@@ -1767,6 +1800,7 @@ def create_document_routes(
         Args:
             request (InsertTextsRequest): The request body containing the list of texts.
             background_tasks: FastAPI BackgroundTasks for async processing
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             InsertResponse: A response object containing the status of the operation.
@@ -1774,6 +1808,7 @@ def create_document_routes(
         Raises:
             HTTPException: If an error occurs during text processing (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Generate track_id for texts insertion
             track_id = generate_track_id("insert")
@@ -1799,7 +1834,9 @@ def create_document_routes(
     @router.delete(
         "", response_model=ClearDocumentsResponse, dependencies=[Depends(combined_auth)]
     )
-    async def clear_documents():
+    async def clear_documents(
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager)
+    ):
         """
         Clear all documents from the RAG system.
 
@@ -1807,6 +1844,9 @@ def create_document_routes(
         It uses the storage drop methods to properly clean up all data and removes all files
         from the input directory.
 
+        Args:
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
+
         Returns:
             ClearDocumentsResponse: A response object containing the status and message.
                 - status="success":           All documents and files were successfully cleared.
@@ -1818,13 +1858,15 @@ def create_document_routes(
 
         Raises:
             HTTPException: Raised when a serious error occurs during the clearing process,
-                          with status code 500 and error details in the detail field.
+                           with status code 500 and error details in the detail field.
         """
         from lightrag.kg.shared_storage import (
             get_namespace_data,
             get_pipeline_status_lock,
         )
 
+        rag, doc_manager = workspace_rag_and_manager
+
         # Get pipeline status and lock
         pipeline_status = await get_namespace_data("pipeline_status")
         pipeline_status_lock = get_pipeline_status_lock()
@@ -2080,21 +2122,27 @@ def create_document_routes(
     @router.get(
         "", response_model=DocsStatusesResponse, dependencies=[Depends(combined_auth)]
     )
-    async def documents() -> DocsStatusesResponse:
+    async def documents(
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ) -> DocsStatusesResponse:
         """
         Get the status of all documents in the system.
 
         This endpoint retrieves the current status of all documents, grouped by their
         processing status (PENDING, PROCESSING, PROCESSED, FAILED).
 
+        Args:
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
+
         Returns:
             DocsStatusesResponse: A response object containing a dictionary where keys are
-                                DocStatus values and values are lists of DocStatusResponse
-                                objects representing documents in each status category.
+                                 DocStatus values and values are lists of DocStatusResponse
+                                 objects representing documents in each status category.
 
         Raises:
             HTTPException: If an error occurs while retrieving document statuses (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             statuses = (
                 DocStatus.PENDING,
@@ -2152,6 +2200,7 @@ def create_document_routes(
     async def delete_document(
         delete_request: DeleteDocRequest,
         background_tasks: BackgroundTasks,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
     ) -> DeleteDocByIdResponse:
         """
         Delete documents and all their associated data by their IDs using background processing.
@@ -2166,6 +2215,7 @@ def create_document_routes(
         Args:
             delete_request (DeleteDocRequest): The request containing the document IDs and delete_file options.
             background_tasks: FastAPI BackgroundTasks for async processing
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             DeleteDocByIdResponse: The result of the deletion operation.
@@ -2177,6 +2227,7 @@ def create_document_routes(
             HTTPException:
               - 500: If an unexpected internal error occurs during initialization.
         """
+        rag, doc_manager = workspace_rag_and_manager
         doc_ids = delete_request.doc_ids
 
         # The rag object is initialized from the server startup args,
@@ -2227,7 +2278,10 @@ def create_document_routes(
         response_model=ClearCacheResponse,
         dependencies=[Depends(combined_auth)],
     )
-    async def clear_cache(request: ClearCacheRequest):
+    async def clear_cache(
+        request: ClearCacheRequest,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ):
         """
         Clear all cache data from the LLM response cache storage.
 
@@ -2236,6 +2290,7 @@ def create_document_routes(
 
         Args:
             request (ClearCacheRequest): The request body (ignored for compatibility).
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             ClearCacheResponse: A response object containing the status and message.
@@ -2243,6 +2298,7 @@ def create_document_routes(
         Raises:
             HTTPException: If an error occurs during cache clearing (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Call the aclear_cache method (no modes parameter)
             await rag.aclear_cache()
@@ -2261,12 +2317,16 @@ def create_document_routes(
         response_model=DeletionResult,
         dependencies=[Depends(combined_auth)],
     )
-    async def delete_entity(request: DeleteEntityRequest):
+    async def delete_entity(
+        request: DeleteEntityRequest,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ):
         """
         Delete an entity and all its relationships from the knowledge graph.
 
         Args:
             request (DeleteEntityRequest): The request body containing the entity name.
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             DeletionResult: An object containing the outcome of the deletion process.
@@ -2274,6 +2334,7 @@ def create_document_routes(
         Raises:
             HTTPException: If the entity is not found (404) or an error occurs (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             result = await rag.adelete_by_entity(entity_name=request.entity_name)
             if result.status == "not_found":
@@ -2296,12 +2357,16 @@ def create_document_routes(
         response_model=DeletionResult,
         dependencies=[Depends(combined_auth)],
     )
-    async def delete_relation(request: DeleteRelationRequest):
+    async def delete_relation(
+        request: DeleteRelationRequest,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ):
         """
         Delete a relationship between two entities from the knowledge graph.
 
         Args:
             request (DeleteRelationRequest): The request body containing the source and target entity names.
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             DeletionResult: An object containing the outcome of the deletion process.
@@ -2309,6 +2374,7 @@ def create_document_routes(
         Raises:
             HTTPException: If the relation is not found (404) or an error occurs (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             result = await rag.adelete_by_relation(
                 source_entity=request.source_entity,
@@ -2334,7 +2400,10 @@ def create_document_routes(
         response_model=TrackStatusResponse,
         dependencies=[Depends(combined_auth)],
     )
-    async def get_track_status(track_id: str) -> TrackStatusResponse:
+    async def get_track_status(
+        track_id: str,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ) -> TrackStatusResponse:
         """
         Get the processing status of documents by tracking ID.
 
@@ -2343,6 +2412,7 @@ def create_document_routes(
 
         Args:
             track_id (str): The tracking ID returned from upload, text, or texts endpoints
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             TrackStatusResponse: A response object containing:
@@ -2353,6 +2423,7 @@ def create_document_routes(
         Raises:
             HTTPException: If track_id is invalid (400) or an error occurs (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Validate track_id
             if not track_id or not track_id.strip():
@@ -2410,6 +2481,7 @@ def create_document_routes(
     )
     async def get_documents_paginated(
         request: DocumentsRequest,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
     ) -> PaginatedDocsResponse:
         """
         Get documents with pagination support.
@@ -2420,6 +2492,7 @@ def create_document_routes(
 
         Args:
             request (DocumentsRequest): The request body containing pagination parameters
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             PaginatedDocsResponse: A response object containing:
@@ -2430,6 +2503,7 @@ def create_document_routes(
         Raises:
             HTTPException: If an error occurs while retrieving documents (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Get paginated documents and status counts in parallel
             docs_task = rag.doc_status.get_docs_paginated(
@@ -2495,19 +2569,25 @@ def create_document_routes(
         response_model=StatusCountsResponse,
         dependencies=[Depends(combined_auth)],
     )
-    async def get_document_status_counts() -> StatusCountsResponse:
+    async def get_document_status_counts(
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ) -> StatusCountsResponse:
         """
         Get counts of documents by status.
 
         This endpoint retrieves the count of documents in each processing status
         (PENDING, PROCESSING, PROCESSED, FAILED) for all documents in the system.
 
+        Args:
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
+
         Returns:
             StatusCountsResponse: A response object containing status counts
 
         Raises:
             HTTPException: If an error occurs while retrieving status counts (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             status_counts = await rag.doc_status.get_all_status_counts()
             return StatusCountsResponse(status_counts=status_counts)
@@ -2521,7 +2601,10 @@ def create_document_routes(
         "/download/{filename}",
         dependencies=[Depends(combined_auth)],
     )
-    async def download_document(filename: str):
+    async def download_document(
+        filename: str,
+        workspace_rag_and_manager: tuple = Depends(get_workspace_rag_and_manager),
+    ):
         """
         Download a document file by filename.
 
@@ -2530,6 +2613,7 @@ def create_document_routes(
 
         Args:
             filename (str): The name of the file to download
+            workspace_rag_and_manager: Tuple containing (rag, doc_manager) for the workspace
 
         Returns:
             FileResponse: The file content with appropriate headers for download
@@ -2537,32 +2621,33 @@ def create_document_routes(
         Raises:
             HTTPException: If file is not found (404) or an error occurs (500).
         """
+        rag, doc_manager = workspace_rag_and_manager
         try:
             # Sanitize filename to prevent path traversal
             safe_filename = sanitize_filename(filename, doc_manager.input_dir)
-            
+
             # First check in the __enqueued__ directory (where processed files are moved)
             enqueued_dir = doc_manager.input_dir / "__enqueued__"
             file_path = enqueued_dir / safe_filename
-            
+
             # If not found in __enqueued__, check in the main input directory
             if not file_path.exists():
                 file_path = doc_manager.input_dir / safe_filename
-            
+
             # If still not found, return 404
             if not file_path.exists():
                 raise HTTPException(
                     status_code=404,
                     detail=f"File '{safe_filename}' not found in the system"
                 )
-            
+
             # Check if file is within the allowed directory (security check)
             if not file_path.is_relative_to(doc_manager.input_dir):
                 raise HTTPException(
                     status_code=400,
                     detail="Invalid file path"
                 )
-            
+
             # Determine content type based on file extension
             content_type = "application/octet-stream"
             if safe_filename.lower().endswith(".pdf"):

LightRAG-main/lightrag/api/routers/query_routes.py

@@ -153,21 +153,41 @@ def create_query_routes(rag_or_manager, api_key: Optional[str] = None, top_k: in
     # Accept either a LightRAG instance or a WorkspaceManager
     from lightrag.api.workspace_manager import WorkspaceManager
     from lightrag import LightRAG
-    
-    if isinstance(rag_or_manager, WorkspaceManager):
-        # Get default RAG instance from workspace manager
-        rag = rag_or_manager.get_rag()
-    elif isinstance(rag_or_manager, LightRAG):
-        rag = rag_or_manager
-    else:
-        raise TypeError(f"Expected LightRAG or WorkspaceManager, got {type(rag_or_manager)}")
+    from fastapi import Request, Depends, HTTPException
+    from lightrag.base import StoragesStatus
+    from lightrag.utils import logger
     
     combined_auth = get_combined_auth_dependency(api_key)
+    
+    # Define dependency to get workspace-specific RAG instance
+    async def get_workspace_rag(request: Request):
+        if isinstance(rag_or_manager, WorkspaceManager):
+            workspace = request.headers.get("X-Workspace", "").strip()
+            rag = rag_or_manager.get_rag(workspace)
+            # Ensure storages are initialized for this workspace
+            try:
+                logger.info(f"Workspace '{workspace}': storages status = {rag._storages_status}")
+                if rag._storages_status != StoragesStatus.FINALIZED:
+                    logger.info(f"Initializing storages for workspace '{workspace}'")
+                    await rag.initialize_storages()
+                    logger.info(f"Storages initialized, status now = {rag._storages_status}")
+            except Exception as e:
+                logger.error(f"Failed to initialize storages for workspace '{workspace}': {e}")
+                raise HTTPException(status_code=500, detail=f"Storage initialization failed: {e}")
+            return rag
+        elif isinstance(rag_or_manager, LightRAG):
+            # Single RAG instance mode - ignore workspace header
+            return rag_or_manager
+        else:
+            raise TypeError(f"Expected LightRAG or WorkspaceManager, got {type(rag_or_manager)}")
 
     @router.post(
         "/query", response_model=QueryResponse, dependencies=[Depends(combined_auth)]
     )
-    async def query_text(request: QueryRequest):
+    async def query_text(
+        request: QueryRequest,
+        rag: LightRAG = Depends(get_workspace_rag)
+    ):
         """
         Handle a POST request at the /query endpoint to process user queries using RAG capabilities.
 
@@ -200,7 +220,10 @@ def create_query_routes(rag_or_manager, api_key: Optional[str] = None, top_k: in
             raise HTTPException(status_code=500, detail=str(e))
 
     @router.post("/query/stream", dependencies=[Depends(combined_auth)])
-    async def query_text_stream(request: QueryRequest):
+    async def query_text_stream(
+        request: QueryRequest,
+        rag: LightRAG = Depends(get_workspace_rag)
+    ):
         """
         This endpoint performs a retrieval-augmented generation (RAG) query and streams the response.
 
@@ -253,7 +276,10 @@ def create_query_routes(rag_or_manager, api_key: Optional[str] = None, top_k: in
         response_model=QueryDataResponse,
         dependencies=[Depends(combined_auth)],
     )
-    async def query_data(request: QueryRequest):
+    async def query_data(
+        request: QueryRequest,
+        rag: LightRAG = Depends(get_workspace_rag)
+    ):
         """
         Retrieve structured data without LLM generation.
 

LightRAG-main/lightrag/api/routers/search_routes.py

@@ -72,21 +72,41 @@ def create_search_routes(rag_or_manager, api_key: Optional[str] = None, top_k: i
     # Accept either a LightRAG instance or a WorkspaceManager
     from lightrag.api.workspace_manager import WorkspaceManager
     from lightrag import LightRAG
-    
-    if isinstance(rag_or_manager, WorkspaceManager):
-        # Get default RAG instance from workspace manager
-        rag = rag_or_manager.get_rag()
-    elif isinstance(rag_or_manager, LightRAG):
-        rag = rag_or_manager
-    else:
-        raise TypeError(f"Expected LightRAG or WorkspaceManager, got {type(rag_or_manager)}")
+    from fastapi import Request, Depends
+    from lightrag.base import StoragesStatus
+    from lightrag.utils import logger
     
     combined_auth = get_combined_auth_dependency(api_key)
+    
+    # Define dependency to get workspace-specific RAG instance
+    async def get_workspace_rag(request: Request):
+        if isinstance(rag_or_manager, WorkspaceManager):
+            workspace = request.headers.get("X-Workspace", "").strip()
+            rag = rag_or_manager.get_rag(workspace)
+            # Ensure storages are initialized for this workspace
+            try:
+                logger.info(f"Workspace '{workspace}': storages status = {rag._storages_status}")
+                if rag._storages_status != StoragesStatus.FINALIZED:
+                    logger.info(f"Initializing storages for workspace '{workspace}'")
+                    await rag.initialize_storages()
+                    logger.info(f"Storages initialized, status now = {rag._storages_status}")
+            except Exception as e:
+                logger.error(f"Failed to initialize storages for workspace '{workspace}': {e}")
+                raise HTTPException(status_code=500, detail=f"Storage initialization failed: {e}")
+            return rag
+        elif isinstance(rag_or_manager, LightRAG):
+            # Single RAG instance mode - ignore workspace header
+            return rag_or_manager
+        else:
+            raise TypeError(f"Expected LightRAG or WorkspaceManager, got {type(rag_or_manager)}")
 
     @router.post(
         "/search", response_model=SearchResponse, dependencies=[Depends(combined_auth)]
     )
-    async def search_documents(request: SearchRequest):
+    async def search_documents(
+        request: SearchRequest,
+        rag: LightRAG = Depends(get_workspace_rag)
+    ):
         """
         Handle a POST request at the /search endpoint to search documents using RAG capabilities.
         This is an alias for the /query endpoint with simplified response format.
@@ -169,11 +189,14 @@ def create_search_routes(rag_or_manager, api_key: Optional[str] = None, top_k: i
             raise HTTPException(status_code=500, detail=str(e))
 
     @router.post(
-        "/api/search", 
-        response_model=SearchDataResponse, 
+        "/api/search",
+        response_model=SearchDataResponse,
         dependencies=[Depends(combined_auth)]
     )
-    async def search_data(request: SearchRequest):
+    async def search_data(
+        request: SearchRequest,
+        rag: LightRAG = Depends(get_workspace_rag)
+    ):
         """
         API search endpoint that returns structured data without LLM generation.
         This is an alias for the /query/data endpoint.

LightRAG-main/lightrag/api/routers/workspace_routes.py

@@ -79,5 +79,12 @@ async def delete_workspace(
     workspace_name: str,
     workspace_manager: WorkspaceManager = Depends(get_workspace_manager),
 ):
-    """Delete a workspace (not implemented)."""
-    raise HTTPException(status_code=501, detail="Workspace deletion not yet implemented")
+    """Delete a workspace."""
+    try:
+        await workspace_manager.delete_workspace(workspace_name)
+        return {"message": f"Workspace '{workspace_name}' deleted successfully"}
+    except ValueError as e:
+        raise HTTPException(status_code=400, detail=str(e))
+    except Exception as e:
+        logger.error(f"Error deleting workspace: {e}")
+        raise HTTPException(status_code=500, detail=str(e))

LightRAG-main/lightrag/api/webui/assets/_basePickBy-V-PVS_is.js

@@ -1 +1 @@
-import{e as o,c as l,g as b,k as O,h as P,j as p,l as w,m as c,n as v,t as A,o as N}from"./_baseUniq-CZTq81C3.js";import{a_ as g,aw as _,a$ as $,b0 as E,b1 as F,b2 as x,b3 as M,b4 as y,b5 as B,b6 as T}from"./mermaid-vendor-C4V_MkUy.js";var S=/\s/;function G(n){for(var r=n.length;r--&&S.test(n.charAt(r)););return r}var H=/^\s+/;function L(n){return n&&n.slice(0,G(n)+1).replace(H,"")}var m=NaN,R=/^[-+]0x[0-9a-f]+$/i,q=/^0b[01]+$/i,z=/^0o[0-7]+$/i,C=parseInt;function K(n){if(typeof n=="number")return n;if(o(n))return m;if(g(n)){var r=typeof n.valueOf=="function"?n.valueOf():n;n=g(r)?r+"":r}if(typeof n!="string")return n===0?n:+n;n=L(n);var t=q.test(n);return t||z.test(n)?C(n.slice(2),t?2:8):R.test(n)?m:+n}var W=1/0,X=17976931348623157e292;function Y(n){if(!n)return n===0?n:0;if(n=K(n),n===W||n===-1/0){var r=n<0?-1:1;return r*X}return n===n?n:0}function D(n){var r=Y(n),t=r%1;return r===r?t?r-t:r:0}function fn(n){var r=n==null?0:n.length;return r?l(n):[]}var I=Object.prototype,J=I.hasOwnProperty,dn=_(function(n,r){n=Object(n);var t=-1,e=r.length,i=e>2?r[2]:void 0;for(i&&$(r[0],r[1],i)&&(e=1);++t<e;)for(var f=r[t],a=E(f),s=-1,d=a.length;++s<d;){var u=a[s],h=n[u];(h===void 0||F(h,I[u])&&!J.call(n,u))&&(n[u]=f[u])}return n});function un(n){var r=n==null?0:n.length;return r?n[r-1]:void 0}function Q(n){return function(r,t,e){var i=Object(r);if(!x(r)){var f=b(t);r=O(r),t=function(s){return f(i[s],s,i)}}var a=n(r,t,e);return a>-1?i[f?r[a]:a]:void 0}}var U=Math.max;function Z(n,r,t){var e=n==null?0:n.length;if(!e)return-1;var i=t==null?0:D(t);return i<0&&(i=U(e+i,0)),P(n,b(r),i)}var hn=Q(Z);function V(n,r){var t=-1,e=x(n)?Array(n.length):[];return p(n,function(i,f,a){e[++t]=r(i,f,a)}),e}function gn(n,r){var t=M(n)?w:V;return t(n,b(r))}var j=Object.prototype,k=j.hasOwnProperty;function nn(n,r){return n!=null&&k.call(n,r)}function bn(n,r){return n!=null&&c(n,r,nn)}function rn(n,r){return n<r}function tn(n,r,t){for(var e=-1,i=n.length;++e<i;){var f=n[e],a=r(f);if(a!=null&&(s===void 0?a===a&&!o(a):t(a,s)))var s=a,d=f}return d}function mn(n){return n&&n.length?tn(n,y,rn):void 0}function an(n,r,t,e){if(!g(n))return n;r=v(r,n);for(var i=-1,f=r.length,a=f-1,s=n;s!=null&&++i<f;){var d=A(r[i]),u=t;if(d==="__proto__"||d==="constructor"||d==="prototype")return n;if(i!=a){var h=s[d];u=void 0,u===void 0&&(u=g(h)?h:B(r[i+1])?[]:{})}T(s,d,u),s=s[d]}return n}function on(n,r,t){for(var e=-1,i=r.length,f={};++e<i;){var a=r[e],s=N(n,a);t(s,a)&&an(f,v(a,n),s)}return f}export{rn as a,tn as b,V as c,on as d,mn as e,fn as f,hn as g,bn as h,dn as i,D as j,un as l,gn as m,Y as t};
+import{e as o,c as l,g as b,k as O,h as P,j as p,l as w,m as c,n as v,t as A,o as N}from"./_baseUniq-DUOGdItU.js";import{a_ as g,aw as _,a$ as $,b0 as E,b1 as F,b2 as x,b3 as M,b4 as y,b5 as B,b6 as T}from"./mermaid-vendor-GB05DkYd.js";var S=/\s/;function G(n){for(var r=n.length;r--&&S.test(n.charAt(r)););return r}var H=/^\s+/;function L(n){return n&&n.slice(0,G(n)+1).replace(H,"")}var m=NaN,R=/^[-+]0x[0-9a-f]+$/i,q=/^0b[01]+$/i,z=/^0o[0-7]+$/i,C=parseInt;function K(n){if(typeof n=="number")return n;if(o(n))return m;if(g(n)){var r=typeof n.valueOf=="function"?n.valueOf():n;n=g(r)?r+"":r}if(typeof n!="string")return n===0?n:+n;n=L(n);var t=q.test(n);return t||z.test(n)?C(n.slice(2),t?2:8):R.test(n)?m:+n}var W=1/0,X=17976931348623157e292;function Y(n){if(!n)return n===0?n:0;if(n=K(n),n===W||n===-1/0){var r=n<0?-1:1;return r*X}return n===n?n:0}function D(n){var r=Y(n),t=r%1;return r===r?t?r-t:r:0}function fn(n){var r=n==null?0:n.length;return r?l(n):[]}var I=Object.prototype,J=I.hasOwnProperty,dn=_(function(n,r){n=Object(n);var t=-1,e=r.length,i=e>2?r[2]:void 0;for(i&&$(r[0],r[1],i)&&(e=1);++t<e;)for(var f=r[t],a=E(f),s=-1,d=a.length;++s<d;){var u=a[s],h=n[u];(h===void 0||F(h,I[u])&&!J.call(n,u))&&(n[u]=f[u])}return n});function un(n){var r=n==null?0:n.length;return r?n[r-1]:void 0}function Q(n){return function(r,t,e){var i=Object(r);if(!x(r)){var f=b(t);r=O(r),t=function(s){return f(i[s],s,i)}}var a=n(r,t,e);return a>-1?i[f?r[a]:a]:void 0}}var U=Math.max;function Z(n,r,t){var e=n==null?0:n.length;if(!e)return-1;var i=t==null?0:D(t);return i<0&&(i=U(e+i,0)),P(n,b(r),i)}var hn=Q(Z);function V(n,r){var t=-1,e=x(n)?Array(n.length):[];return p(n,function(i,f,a){e[++t]=r(i,f,a)}),e}function gn(n,r){var t=M(n)?w:V;return t(n,b(r))}var j=Object.prototype,k=j.hasOwnProperty;function nn(n,r){return n!=null&&k.call(n,r)}function bn(n,r){return n!=null&&c(n,r,nn)}function rn(n,r){return n<r}function tn(n,r,t){for(var e=-1,i=n.length;++e<i;){var f=n[e],a=r(f);if(a!=null&&(s===void 0?a===a&&!o(a):t(a,s)))var s=a,d=f}return d}function mn(n){return n&&n.length?tn(n,y,rn):void 0}function an(n,r,t,e){if(!g(n))return n;r=v(r,n);for(var i=-1,f=r.length,a=f-1,s=n;s!=null&&++i<f;){var d=A(r[i]),u=t;if(d==="__proto__"||d==="constructor"||d==="prototype")return n;if(i!=a){var h=s[d];u=void 0,u===void 0&&(u=g(h)?h:B(r[i+1])?[]:{})}T(s,d,u),s=s[d]}return n}function on(n,r,t){for(var e=-1,i=r.length,f={};++e<i;){var a=r[e],s=N(n,a);t(s,a)&&an(f,v(a,n),s)}return f}export{rn as a,tn as b,V as c,on as d,mn as e,fn as f,hn as g,bn as h,dn as i,D as j,un as l,gn as m,Y as t};

LightRAG-main/lightrag/api/webui/assets/chunk-353BL4L5-BdESKFSH.js

@@ -1 +1 @@
-import{_ as l}from"./mermaid-vendor-C4V_MkUy.js";function m(e,c){var i,t,o;e.accDescr&&((i=c.setAccDescription)==null||i.call(c,e.accDescr)),e.accTitle&&((t=c.setAccTitle)==null||t.call(c,e.accTitle)),e.title&&((o=c.setDiagramTitle)==null||o.call(c,e.title))}l(m,"populateCommonDb");export{m as p};
+import{_ as l}from"./mermaid-vendor-GB05DkYd.js";function m(e,c){var i,t,o;e.accDescr&&((i=c.setAccDescription)==null||i.call(c,e.accDescr)),e.accTitle&&((t=c.setAccTitle)==null||t.call(c,e.accTitle)),e.title&&((o=c.setDiagramTitle)==null||o.call(c,e.title))}l(m,"populateCommonDb");export{m as p};

LightRAG-main/lightrag/api/webui/assets/chunk-67H74DCK-C_VoI5m8.js

@@ -1 +1 @@
-import{_ as n,a2 as x,j as l}from"./mermaid-vendor-C4V_MkUy.js";var c=n((a,t)=>{const e=a.append("rect");if(e.attr("x",t.x),e.attr("y",t.y),e.attr("fill",t.fill),e.attr("stroke",t.stroke),e.attr("width",t.width),e.attr("height",t.height),t.name&&e.attr("name",t.name),t.rx&&e.attr("rx",t.rx),t.ry&&e.attr("ry",t.ry),t.attrs!==void 0)for(const r in t.attrs)e.attr(r,t.attrs[r]);return t.class&&e.attr("class",t.class),e},"drawRect"),d=n((a,t)=>{const e={x:t.startx,y:t.starty,width:t.stopx-t.startx,height:t.stopy-t.starty,fill:t.fill,stroke:t.stroke,class:"rect"};c(a,e).lower()},"drawBackgroundRect"),g=n((a,t)=>{const e=t.text.replace(x," "),r=a.append("text");r.attr("x",t.x),r.attr("y",t.y),r.attr("class","legend"),r.style("text-anchor",t.anchor),t.class&&r.attr("class",t.class);const s=r.append("tspan");return s.attr("x",t.x+t.textMargin*2),s.text(e),r},"drawText"),h=n((a,t,e,r)=>{const s=a.append("image");s.attr("x",t),s.attr("y",e);const i=l.sanitizeUrl(r);s.attr("xlink:href",i)},"drawImage"),m=n((a,t,e,r)=>{const s=a.append("use");s.attr("x",t),s.attr("y",e);const i=l.sanitizeUrl(r);s.attr("xlink:href",`#${i}`)},"drawEmbeddedImage"),y=n(()=>({x:0,y:0,width:100,height:100,fill:"#EDF2AE",stroke:"#666",anchor:"start",rx:0,ry:0}),"getNoteRect"),p=n(()=>({x:0,y:0,width:100,height:100,"text-anchor":"start",style:"#666",textMargin:0,rx:0,ry:0,tspan:!0}),"getTextObj");export{d as a,p as b,m as c,c as d,h as e,g as f,y as g};
+import{_ as n,a2 as x,j as l}from"./mermaid-vendor-GB05DkYd.js";var c=n((a,t)=>{const e=a.append("rect");if(e.attr("x",t.x),e.attr("y",t.y),e.attr("fill",t.fill),e.attr("stroke",t.stroke),e.attr("width",t.width),e.attr("height",t.height),t.name&&e.attr("name",t.name),t.rx&&e.attr("rx",t.rx),t.ry&&e.attr("ry",t.ry),t.attrs!==void 0)for(const r in t.attrs)e.attr(r,t.attrs[r]);return t.class&&e.attr("class",t.class),e},"drawRect"),d=n((a,t)=>{const e={x:t.startx,y:t.starty,width:t.stopx-t.startx,height:t.stopy-t.starty,fill:t.fill,stroke:t.stroke,class:"rect"};c(a,e).lower()},"drawBackgroundRect"),g=n((a,t)=>{const e=t.text.replace(x," "),r=a.append("text");r.attr("x",t.x),r.attr("y",t.y),r.attr("class","legend"),r.style("text-anchor",t.anchor),t.class&&r.attr("class",t.class);const s=r.append("tspan");return s.attr("x",t.x+t.textMargin*2),s.text(e),r},"drawText"),h=n((a,t,e,r)=>{const s=a.append("image");s.attr("x",t),s.attr("y",e);const i=l.sanitizeUrl(r);s.attr("xlink:href",i)},"drawImage"),m=n((a,t,e,r)=>{const s=a.append("use");s.attr("x",t),s.attr("y",e);const i=l.sanitizeUrl(r);s.attr("xlink:href",`#${i}`)},"drawEmbeddedImage"),y=n(()=>({x:0,y:0,width:100,height:100,fill:"#EDF2AE",stroke:"#666",anchor:"start",rx:0,ry:0}),"getNoteRect"),p=n(()=>({x:0,y:0,width:100,height:100,"text-anchor":"start",style:"#666",textMargin:0,rx:0,ry:0,tspan:!0}),"getTextObj");export{d as a,p as b,m as c,c as d,h as e,g as f,y as g};

LightRAG-main/lightrag/api/webui/assets/chunk-AACKK3MU-KEMEfjf-.js

@@ -1 +1 @@
-import{_ as s}from"./mermaid-vendor-C4V_MkUy.js";var t,e=(t=class{constructor(i){this.init=i,this.records=this.init()}reset(){this.records=this.init()}},s(t,"ImperativeState"),t);export{e as I};
+import{_ as s}from"./mermaid-vendor-GB05DkYd.js";var t,e=(t=class{constructor(i){this.init=i,this.records=this.init()}reset(){this.records=this.init()}},s(t,"ImperativeState"),t);export{e as I};

LightRAG-main/lightrag/api/webui/assets/chunk-BFAMUDN2-ghvP-Rq6.js

@@ -1 +1 @@
-import{_ as a,d as o}from"./mermaid-vendor-C4V_MkUy.js";var d=a((t,e)=>{let n;return e==="sandbox"&&(n=o("#i"+t)),(e==="sandbox"?o(n.nodes()[0].contentDocument.body):o("body")).select(`[id="${t}"]`)},"getDiagramElement");export{d as g};
+import{_ as a,d as o}from"./mermaid-vendor-GB05DkYd.js";var d=a((t,e)=>{let n;return e==="sandbox"&&(n=o("#i"+t)),(e==="sandbox"?o(n.nodes()[0].contentDocument.body):o("body")).select(`[id="${t}"]`)},"getDiagramElement");export{d as g};

LightRAG-main/lightrag/api/webui/assets/chunk-E2GYISFI-Cixkpli4.js

@@ -1,4 +1,4 @@
-import{_ as e}from"./mermaid-vendor-C4V_MkUy.js";var l=e(()=>`
+import{_ as e}from"./mermaid-vendor-GB05DkYd.js";var l=e(()=>`
   /* Font Awesome icon styling - consolidated */
   .label-icon {
     display: inline-block;

LightRAG-main/lightrag/api/webui/assets/chunk-SKB7J2MH-gQmYvnvi.js

@@ -1 +1 @@
-import{_ as a,e as w,l as x}from"./mermaid-vendor-C4V_MkUy.js";var d=a((e,t,i,o)=>{e.attr("class",i);const{width:r,height:h,x:n,y:c}=u(e,t);w(e,h,r,o);const s=l(n,c,r,h,t);e.attr("viewBox",s),x.debug(`viewBox configured: ${s} with padding: ${t}`)},"setupViewPortForSVG"),u=a((e,t)=>{var o;const i=((o=e.node())==null?void 0:o.getBBox())||{width:0,height:0,x:0,y:0};return{width:i.width+t*2,height:i.height+t*2,x:i.x,y:i.y}},"calculateDimensionsWithPadding"),l=a((e,t,i,o,r)=>`${e-r} ${t-r} ${i} ${o}`,"createViewBox");export{d as s};
+import{_ as a,e as w,l as x}from"./mermaid-vendor-GB05DkYd.js";var d=a((e,t,i,o)=>{e.attr("class",i);const{width:r,height:h,x:n,y:c}=u(e,t);w(e,h,r,o);const s=l(n,c,r,h,t);e.attr("viewBox",s),x.debug(`viewBox configured: ${s} with padding: ${t}`)},"setupViewPortForSVG"),u=a((e,t)=>{var o;const i=((o=e.node())==null?void 0:o.getBBox())||{width:0,height:0,x:0,y:0};return{width:i.width+t*2,height:i.height+t*2,x:i.x,y:i.y}},"calculateDimensionsWithPadding"),l=a((e,t,i,o,r)=>`${e-r} ${t-r} ${i} ${o}`,"createViewBox");export{d as s};

LightRAG-main/lightrag/api/webui/assets/classDiagram-M3E45YP4-DURg5c_-.js

@@ -0,0 +1 @@
+import{s as a,c as s,a as e,C as t}from"./chunk-SZ463SBG-HfqGkezl.js";import{_ as i}from"./mermaid-vendor-GB05DkYd.js";import"./chunk-E2GYISFI-Cixkpli4.js";import"./chunk-BFAMUDN2-ghvP-Rq6.js";import"./chunk-SKB7J2MH-gQmYvnvi.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var c={parser:e,get db(){return new t},renderer:s,styles:a,init:i(r=>{r.class||(r.class={}),r.class.arrowMarkerAbsolute=r.arrowMarkerAbsolute},"init")};export{c as diagram};

LightRAG-main/lightrag/api/webui/assets/classDiagram-M3E45YP4-ew25KtT0.js

@@ -1 +0,0 @@
-import{s as a,c as s,a as e,C as t}from"./chunk-SZ463SBG-B_R_Pg-v.js";import{_ as i}from"./mermaid-vendor-C4V_MkUy.js";import"./chunk-E2GYISFI-_KKYlGsz.js";import"./chunk-BFAMUDN2-lYQpQICr.js";import"./chunk-SKB7J2MH-JBIfIwyf.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var c={parser:e,get db(){return new t},renderer:s,styles:a,init:i(r=>{r.class||(r.class={}),r.class.arrowMarkerAbsolute=r.arrowMarkerAbsolute},"init")};export{c as diagram};

LightRAG-main/lightrag/api/webui/assets/classDiagram-v2-YAWTLIQI-DURg5c_-.js

@@ -0,0 +1 @@
+import{s as a,c as s,a as e,C as t}from"./chunk-SZ463SBG-HfqGkezl.js";import{_ as i}from"./mermaid-vendor-GB05DkYd.js";import"./chunk-E2GYISFI-Cixkpli4.js";import"./chunk-BFAMUDN2-ghvP-Rq6.js";import"./chunk-SKB7J2MH-gQmYvnvi.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var c={parser:e,get db(){return new t},renderer:s,styles:a,init:i(r=>{r.class||(r.class={}),r.class.arrowMarkerAbsolute=r.arrowMarkerAbsolute},"init")};export{c as diagram};

LightRAG-main/lightrag/api/webui/assets/classDiagram-v2-YAWTLIQI-ew25KtT0.js

@@ -1 +0,0 @@
-import{s as a,c as s,a as e,C as t}from"./chunk-SZ463SBG-B_R_Pg-v.js";import{_ as i}from"./mermaid-vendor-C4V_MkUy.js";import"./chunk-E2GYISFI-_KKYlGsz.js";import"./chunk-BFAMUDN2-lYQpQICr.js";import"./chunk-SKB7J2MH-JBIfIwyf.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var c={parser:e,get db(){return new t},renderer:s,styles:a,init:i(r=>{r.class||(r.class={}),r.class.arrowMarkerAbsolute=r.arrowMarkerAbsolute},"init")};export{c as diagram};

LightRAG-main/lightrag/api/webui/assets/clone-CyTo8HmA.js

@@ -0,0 +1 @@
+import{b as r}from"./_baseUniq-DUOGdItU.js";var e=4;function a(o){return r(o,e)}export{a as c};

LightRAG-main/lightrag/api/webui/assets/clone-Dx_4EPXr.js

@@ -1 +0,0 @@
-import{b as r}from"./_baseUniq-CZTq81C3.js";var e=4;function a(o){return r(o,e)}export{a as c};

LightRAG-main/lightrag/api/webui/assets/diagram-5UYTHUR4-CWtOAROv.js

@@ -1,4 +1,4 @@
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+import{p as y}from"./chunk-353BL4L5-BdESKFSH.js";import{_ as l,s as B,g as S,t as z,q as F,a as P,b as E,F as v,K as W,e as T,z as D,G as _,H as A,l as w}from"./mermaid-vendor-GB05DkYd.js";import{p as N}from"./treemap-75Q7IDZK-C9xJN-2g.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";import"./_baseUniq-DUOGdItU.js";import"./_basePickBy-V-PVS_is.js";import"./clone-CyTo8HmA.js";var x={packet:[]},m=structuredClone(x),L=A.packet,Y=l(()=>{const t=v({...L,..._().packet});return t.showBits&&(t.paddingY+=10),t},"getConfig"),G=l(()=>m.packet,"getPacket"),H=l(t=>{t.length>0&&m.packet.push(t)},"pushWord"),I=l(()=>{D(),m=structuredClone(x)},"clear"),u={pushWord:H,getPacket:G,getConfig:Y,clear:I,setAccTitle:E,getAccTitle:P,setDiagramTitle:F,getDiagramTitle:z,getAccDescription:S,setAccDescription:B},K=1e4,M=l(t=>{y(t,u);let e=-1,o=[],n=1;const{bitsPerRow:i}=u.getConfig();for(let{start:a,end:r,bits:c,label:f}of t.blocks){if(a!==void 0&&r!==void 0&&r<a)throw new Error(`Packet block ${a} - ${r} is invalid. End must be greater than start.`);if(a??(a=e+1),a!==e+1)throw new Error(`Packet block ${a} - ${r??a} is not contiguous. It should start from ${e+1}.`);if(c===0)throw new Error(`Packet block ${a} is invalid. Cannot have a zero bit field.`);for(r??(r=a+(c??1)-1),c??(c=r-a+1),e=r,w.debug(`Packet block ${a} - ${e} with label ${f}`);o.length<=i+1&&u.getPacket().length<K;){const[d,p]=O({start:a,end:r,bits:c,label:f},n,i);if(o.push(d),d.end+1===n*i&&(u.pushWord(o),o=[],n++),!p)break;({start:a,end:r,bits:c,label:f}=p)}}u.pushWord(o)},"populate"),O=l((t,e,o)=>{if(t.start===void 0)throw new Error("start should have been set during first phase");if(t.end===void 0)throw new Error("end should have been set during first phase");if(t.start>t.end)throw new Error(`Block start ${t.start} is greater than block end ${t.end}.`);if(t.end+1<=e*o)return[t,void 0];const n=e*o-1,i=e*o;return[{start:t.start,end:n,label:t.label,bits:n-t.start},{start:i,end:t.end,label:t.label,bits:t.end-i}]},"getNextFittingBlock"),q={parse:l(async t=>{const e=await N("packet",t);w.debug(e),M(e)},"parse")},R=l((t,e,o,n)=>{const i=n.db,a=i.getConfig(),{rowHeight:r,paddingY:c,bitWidth:f,bitsPerRow:d}=a,p=i.getPacket(),s=i.getDiagramTitle(),k=r+c,g=k*(p.length+1)-(s?0:r),b=f*d+2,h=W(e);h.attr("viewbox",`0 0 ${b} ${g}`),T(h,g,b,a.useMaxWidth);for(const[C,$]of p.entries())U(h,$,C,a);h.append("text").text(s).attr("x",b/2).attr("y",g-k/2).attr("dominant-baseline","middle").attr("text-anchor","middle").attr("class","packetTitle")},"draw"),U=l((t,e,o,{rowHeight:n,paddingX:i,paddingY:a,bitWidth:r,bitsPerRow:c,showBits:f})=>{const d=t.append("g"),p=o*(n+a)+a;for(const s of e){const k=s.start%c*r+1,g=(s.end-s.start+1)*r-i;if(d.append("rect").attr("x",k).attr("y",p).attr("width",g).attr("height",n).attr("class","packetBlock"),d.append("text").attr("x",k+g/2).attr("y",p+n/2).attr("class","packetLabel").attr("dominant-baseline","middle").attr("text-anchor","middle").text(s.label),!f)continue;const b=s.end===s.start,h=p-2;d.append("text").attr("x",k+(b?g/2:0)).attr("y",h).attr("class","packetByte start").attr("dominant-baseline","auto").attr("text-anchor",b?"middle":"start").text(s.start),b||d.append("text").attr("x",k+g).attr("y",h).attr("class","packetByte end").attr("dominant-baseline","auto").attr("text-anchor","end").text(s.end)}},"drawWord"),X={draw:R},j={byteFontSize:"10px",startByteColor:"black",endByteColor:"black",labelColor:"black",labelFontSize:"12px",titleColor:"black",titleFontSize:"14px",blockStrokeColor:"black",blockStrokeWidth:"1",blockFillColor:"#efefef"},J=l(({packet:t}={})=>{const e=v(j,t);return`
 	.packetByte {
 		font-size: ${e.byteFontSize};
 	}

LightRAG-main/lightrag/api/webui/assets/flowDiagram-KYDEHFYC-zYUeJfc2.js

@@ -1,4 +1,4 @@
-import{g as q1}from"./chunk-E2GYISFI-_KKYlGsz.js";import{_ as m,o as O1,l as ee,c as be,d as Se,p as H1,r as X1,u as i1,b as Q1,s as J1,q as Z1,a as $1,g as et,t as tt,k as st,v as it,J as rt,x as nt,y as s1,z as at,A as ut,B as lt,C as ot}from"./mermaid-vendor-C4V_MkUy.js";import{g as ct}from"./chunk-BFAMUDN2-lYQpQICr.js";import{s as ht}from"./chunk-SKB7J2MH-JBIfIwyf.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var dt="flowchart-",Pe,pt=(Pe=class{constructor(){this.vertexCounter=0,this.config=be(),this.vertices=new Map,this.edges=[],this.classes=new Map,this.subGraphs=[],this.subGraphLookup=new Map,this.tooltips=new Map,this.subCount=0,this.firstGraphFlag=!0,this.secCount=-1,this.posCrossRef=[],this.funs=[],this.setAccTitle=Q1,this.setAccDescription=J1,this.setDiagramTitle=Z1,this.getAccTitle=$1,this.getAccDescription=et,this.getDiagramTitle=tt,this.funs.push(this.setupToolTips.bind(this)),this.addVertex=this.addVertex.bind(this),this.firstGraph=this.firstGraph.bind(this),this.setDirection=this.setDirection.bind(this),this.addSubGraph=this.addSubGraph.bind(this),this.addLink=this.addLink.bind(this),this.setLink=this.setLink.bind(this),this.updateLink=this.updateLink.bind(this),this.addClass=this.addClass.bind(this),this.setClass=this.setClass.bind(this),this.destructLink=this.destructLink.bind(this),this.setClickEvent=this.setClickEvent.bind(this),this.setTooltip=this.setTooltip.bind(this),this.updateLinkInterpolate=this.updateLinkInterpolate.bind(this),this.setClickFun=this.setClickFun.bind(this),this.bindFunctions=this.bindFunctions.bind(this),this.lex={firstGraph:this.firstGraph.bind(this)},this.clear(),this.setGen("gen-2")}sanitizeText(i){return st.sanitizeText(i,this.config)}lookUpDomId(i){for(const n of this.vertices.values())if(n.id===i)return n.domId;return i}addVertex(i,n,a,u,l,f,c={},A){var V,C;if(!i||i.trim().length===0)return;let r;if(A!==void 0){let p;A.includes(`
+import{g as q1}from"./chunk-E2GYISFI-Cixkpli4.js";import{_ as m,o as O1,l as ee,c as be,d as Se,p as H1,r as X1,u as i1,b as Q1,s as J1,q as Z1,a as $1,g as et,t as tt,k as st,v as it,J as rt,x as nt,y as s1,z as at,A as ut,B as lt,C as ot}from"./mermaid-vendor-GB05DkYd.js";import{g as ct}from"./chunk-BFAMUDN2-ghvP-Rq6.js";import{s as ht}from"./chunk-SKB7J2MH-gQmYvnvi.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var dt="flowchart-",Pe,pt=(Pe=class{constructor(){this.vertexCounter=0,this.config=be(),this.vertices=new Map,this.edges=[],this.classes=new Map,this.subGraphs=[],this.subGraphLookup=new Map,this.tooltips=new Map,this.subCount=0,this.firstGraphFlag=!0,this.secCount=-1,this.posCrossRef=[],this.funs=[],this.setAccTitle=Q1,this.setAccDescription=J1,this.setDiagramTitle=Z1,this.getAccTitle=$1,this.getAccDescription=et,this.getDiagramTitle=tt,this.funs.push(this.setupToolTips.bind(this)),this.addVertex=this.addVertex.bind(this),this.firstGraph=this.firstGraph.bind(this),this.setDirection=this.setDirection.bind(this),this.addSubGraph=this.addSubGraph.bind(this),this.addLink=this.addLink.bind(this),this.setLink=this.setLink.bind(this),this.updateLink=this.updateLink.bind(this),this.addClass=this.addClass.bind(this),this.setClass=this.setClass.bind(this),this.destructLink=this.destructLink.bind(this),this.setClickEvent=this.setClickEvent.bind(this),this.setTooltip=this.setTooltip.bind(this),this.updateLinkInterpolate=this.updateLinkInterpolate.bind(this),this.setClickFun=this.setClickFun.bind(this),this.bindFunctions=this.bindFunctions.bind(this),this.lex={firstGraph:this.firstGraph.bind(this)},this.clear(),this.setGen("gen-2")}sanitizeText(i){return st.sanitizeText(i,this.config)}lookUpDomId(i){for(const n of this.vertices.values())if(n.id===i)return n.domId;return i}addVertex(i,n,a,u,l,f,c={},A){var V,C;if(!i||i.trim().length===0)return;let r;if(A!==void 0){let p;A.includes(`
 `)?p=A+`
 `:p=`{
 `+A+`

LightRAG-main/lightrag/api/webui/assets/infoDiagram-LHK5PUON-De8J4_Tc.js

@@ -1,2 +1,2 @@
-import{_ as e,l as o,K as i,e as n,L as p}from"./mermaid-vendor-C4V_MkUy.js";import{p as m}from"./treemap-75Q7IDZK-Bh7sugQT.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";import"./_baseUniq-CZTq81C3.js";import"./_basePickBy-Z1bijFVM.js";import"./clone-Dx_4EPXr.js";var g={parse:e(async r=>{const a=await m("info",r);o.debug(a)},"parse")},v={version:p.version+""},d=e(()=>v.version,"getVersion"),c={getVersion:d},l=e((r,a,s)=>{o.debug(`rendering info diagram
+import{_ as e,l as o,K as i,e as n,L as p}from"./mermaid-vendor-GB05DkYd.js";import{p as m}from"./treemap-75Q7IDZK-C9xJN-2g.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";import"./_baseUniq-DUOGdItU.js";import"./_basePickBy-V-PVS_is.js";import"./clone-CyTo8HmA.js";var g={parse:e(async r=>{const a=await m("info",r);o.debug(a)},"parse")},v={version:p.version+""},d=e(()=>v.version,"getVersion"),c={getVersion:d},l=e((r,a,s)=>{o.debug(`rendering info diagram
 `+r);const t=i(a);n(t,100,400,!0),t.append("g").append("text").attr("x",100).attr("y",40).attr("class","version").attr("font-size",32).style("text-anchor","middle").text(`v${s}`)},"draw"),f={draw:l},L={parser:g,db:c,renderer:f};export{L as diagram};

LightRAG-main/lightrag/api/webui/assets/journeyDiagram-EWQZEKCU-Cgnc0kpL.js

@@ -1,4 +1,4 @@
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LightRAG-main/lightrag/api/webui/assets/kanban-definition-ZSS6B67P-BfiWZxcR.js

@@ -1,4 +1,4 @@
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+import{g as fe}from"./chunk-E2GYISFI-Cixkpli4.js";import{_ as c,l as te,c as W,K as ye,a8 as be,a9 as me,aa as _e,a3 as Ee,H as Y,i as G,v as ke,J as Se,a4 as Ne,a5 as le,a6 as ce}from"./mermaid-vendor-GB05DkYd.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var $=function(){var t=c(function(_,s,n,a){for(n=n||{},a=_.length;a--;n[_[a]]=s);return n},"o"),g=[1,4],d=[1,13],r=[1,12],p=[1,15],E=[1,16],f=[1,20],h=[1,19],L=[6,7,8],C=[1,26],w=[1,24],N=[1,25],i=[6,7,11],H=[1,31],x=[6,7,11,24],P=[1,6,13,16,17,20,23],M=[1,35],U=[1,36],A=[1,6,7,11,13,16,17,20,23],j=[1,38],V={trace:c(function(){},"trace"),yy:{},symbols_:{error:2,start:3,mindMap:4,spaceLines:5,SPACELINE:6,NL:7,KANBAN:8,document:9,stop:10,EOF:11,statement:12,SPACELIST:13,node:14,shapeData:15,ICON:16,CLASS:17,nodeWithId:18,nodeWithoutId:19,NODE_DSTART:20,NODE_DESCR:21,NODE_DEND:22,NODE_ID:23,SHAPE_DATA:24,$accept:0,$end:1},terminals_:{2:"error",6:"SPACELINE",7:"NL",8:"KANBAN",11:"EOF",13:"SPACELIST",16:"ICON",17:"CLASS",20:"NODE_DSTART",21:"NODE_DESCR",22:"NODE_DEND",23:"NODE_ID",24:"SHAPE_DATA"},productions_:[0,[3,1],[3,2],[5,1],[5,2],[5,2],[4,2],[4,3],[10,1],[10,1],[10,1],[10,2],[10,2],[9,3],[9,2],[12,3],[12,2],[12,2],[12,2],[12,1],[12,2],[12,1],[12,1],[12,1],[12,1],[14,1],[14,1],[19,3],[18,1],[18,4],[15,2],[15,1]],performAction:c(function(s,n,a,o,u,e,B){var l=e.length-1;switch(u){case 6:case 7:return o;case 8:o.getLogger().trace("Stop NL ");break;case 9:o.getLogger().trace("Stop EOF ");break;case 11:o.getLogger().trace("Stop NL2 ");break;case 12:o.getLogger().trace("Stop EOF2 ");break;case 15:o.getLogger().info("Node: ",e[l-1].id),o.addNode(e[l-2].length,e[l-1].id,e[l-1].descr,e[l-1].type,e[l]);break;case 16:o.getLogger().info("Node: ",e[l].id),o.addNode(e[l-1].length,e[l].id,e[l].descr,e[l].type);break;case 17:o.getLogger().trace("Icon: ",e[l]),o.decorateNode({icon:e[l]});break;case 18:case 23:o.decorateNode({class:e[l]});break;case 19:o.getLogger().trace("SPACELIST");break;case 20:o.getLogger().trace("Node: ",e[l-1].id),o.addNode(0,e[l-1].id,e[l-1].descr,e[l-1].type,e[l]);break;case 21:o.getLogger().trace("Node: ",e[l].id),o.addNode(0,e[l].id,e[l].descr,e[l].type);break;case 22:o.decorateNode({icon:e[l]});break;case 27:o.getLogger().trace("node found ..",e[l-2]),this.$={id:e[l-1],descr:e[l-1],type:o.getType(e[l-2],e[l])};break;case 28:this.$={id:e[l],descr:e[l],type:0};break;case 29:o.getLogger().trace("node found ..",e[l-3]),this.$={id:e[l-3],descr:e[l-1],type:o.getType(e[l-2],e[l])};break;case 30:this.$=e[l-1]+e[l];break;case 31:this.$=e[l];break}},"anonymous"),table:[{3:1,4:2,5:3,6:[1,5],8:g},{1:[3]},{1:[2,1]},{4:6,6:[1,7],7:[1,8],8:g},{6:d,7:[1,10],9:9,12:11,13:r,14:14,16:p,17:E,18:17,19:18,20:f,23:h},t(L,[2,3]),{1:[2,2]},t(L,[2,4]),t(L,[2,5]),{1:[2,6],6:d,12:21,13:r,14:14,16:p,17:E,18:17,19:18,20:f,23:h},{6:d,9:22,12:11,13:r,14:14,16:p,17:E,18:17,19:18,20:f,23:h},{6:C,7:w,10:23,11:N},t(i,[2,24],{18:17,19:18,14:27,16:[1,28],17:[1,29],20:f,23:h}),t(i,[2,19]),t(i,[2,21],{15:30,24:H}),t(i,[2,22]),t(i,[2,23]),t(x,[2,25]),t(x,[2,26]),t(x,[2,28],{20:[1,32]}),{21:[1,33]},{6:C,7:w,10:34,11:N},{1:[2,7],6:d,12:21,13:r,14:14,16:p,17:E,18:17,19:18,20:f,23:h},t(P,[2,14],{7:M,11:U}),t(A,[2,8]),t(A,[2,9]),t(A,[2,10]),t(i,[2,16],{15:37,24:H}),t(i,[2,17]),t(i,[2,18]),t(i,[2,20],{24:j}),t(x,[2,31]),{21:[1,39]},{22:[1,40]},t(P,[2,13],{7:M,11:U}),t(A,[2,11]),t(A,[2,12]),t(i,[2,15],{24:j}),t(x,[2,30]),{22:[1,41]},t(x,[2,27]),t(x,[2,29])],defaultActions:{2:[2,1],6:[2,2]},parseError:c(function(s,n){if(n.recoverable)this.trace(s);else{var a=new Error(s);throw a.hash=n,a}},"parseError"),parse:c(function(s){var n=this,a=[0],o=[],u=[null],e=[],B=this.table,l="",z=0,ie=0,ue=2,re=1,ge=e.slice.call(arguments,1),b=Object.create(this.lexer),T={yy:{}};for(var J in this.yy)Object.prototype.hasOwnProperty.call(this.yy,J)&&(T.yy[J]=this.yy[J]);b.setInput(s,T.yy),T.yy.lexer=b,T.yy.parser=this,typeof b.yylloc>"u"&&(b.yylloc={});var q=b.yylloc;e.push(q);var de=b.options&&b.options.ranges;typeof T.yy.parseError=="function"?this.parseError=T.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function pe(S){a.length=a.length-2*S,u.length=u.length-S,e.length=e.length-S}c(pe,"popStack");function ae(){var S;return S=o.pop()||b.lex()||re,typeof S!="number"&&(S instanceof Array&&(o=S,S=o.pop()),S=n.symbols_[S]||S),S}c(ae,"lex");for(var k,R,v,Q,F={},K,I,oe,X;;){if(R=a[a.length-1],this.defaultActions[R]?v=this.defaultActions[R]:((k===null||typeof k>"u")&&(k=ae()),v=B[R]&&B[R][k]),typeof v>"u"||!v.length||!v[0]){var Z="";X=[];for(K in B[R])this.terminals_[K]&&K>ue&&X.push("'"+this.terminals_[K]+"'");b.showPosition?Z="Parse error on line "+(z+1)+`:
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LightRAG-main/lightrag/api/webui/assets/pieDiagram-NIOCPIFQ-BJUYkGSQ.js

@@ -1,4 +1,4 @@
-import{p as N}from"./chunk-353BL4L5-BgtJsm81.js";import{_ as i,g as B,s as U,a as q,b as H,t as K,q as V,l as C,c as Z,F as j,K as J,M as Q,N as z,O as X,e as Y,z as tt,P as et,H as at}from"./mermaid-vendor-C4V_MkUy.js";import{p as rt}from"./treemap-75Q7IDZK-Bh7sugQT.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";import"./_baseUniq-CZTq81C3.js";import"./_basePickBy-Z1bijFVM.js";import"./clone-Dx_4EPXr.js";var it=at.pie,D={sections:new Map,showData:!1},f=D.sections,w=D.showData,st=structuredClone(it),ot=i(()=>structuredClone(st),"getConfig"),nt=i(()=>{f=new Map,w=D.showData,tt()},"clear"),lt=i(({label:t,value:a})=>{f.has(t)||(f.set(t,a),C.debug(`added new section: ${t}, with value: ${a}`))},"addSection"),ct=i(()=>f,"getSections"),pt=i(t=>{w=t},"setShowData"),dt=i(()=>w,"getShowData"),F={getConfig:ot,clear:nt,setDiagramTitle:V,getDiagramTitle:K,setAccTitle:H,getAccTitle:q,setAccDescription:U,getAccDescription:B,addSection:lt,getSections:ct,setShowData:pt,getShowData:dt},gt=i((t,a)=>{N(t,a),a.setShowData(t.showData),t.sections.map(a.addSection)},"populateDb"),ut={parse:i(async t=>{const a=await rt("pie",t);C.debug(a),gt(a,F)},"parse")},mt=i(t=>`
+import{p as N}from"./chunk-353BL4L5-BdESKFSH.js";import{_ as i,g as B,s as U,a as q,b as H,t as K,q as V,l as C,c as Z,F as j,K as J,M as Q,N as z,O as X,e as Y,z as tt,P as et,H as at}from"./mermaid-vendor-GB05DkYd.js";import{p as rt}from"./treemap-75Q7IDZK-C9xJN-2g.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";import"./_baseUniq-DUOGdItU.js";import"./_basePickBy-V-PVS_is.js";import"./clone-CyTo8HmA.js";var it=at.pie,D={sections:new Map,showData:!1},f=D.sections,w=D.showData,st=structuredClone(it),ot=i(()=>structuredClone(st),"getConfig"),nt=i(()=>{f=new Map,w=D.showData,tt()},"clear"),lt=i(({label:t,value:a})=>{f.has(t)||(f.set(t,a),C.debug(`added new section: ${t}, with value: ${a}`))},"addSection"),ct=i(()=>f,"getSections"),pt=i(t=>{w=t},"setShowData"),dt=i(()=>w,"getShowData"),F={getConfig:ot,clear:nt,setDiagramTitle:V,getDiagramTitle:K,setAccTitle:H,getAccTitle:q,setAccDescription:U,getAccDescription:B,addSection:lt,getSections:ct,setShowData:pt,getShowData:dt},gt=i((t,a)=>{N(t,a),a.setShowData(t.showData),t.sections.map(a.addSection)},"populateDb"),ut={parse:i(async t=>{const a=await rt("pie",t);C.debug(a),gt(a,F)},"parse")},mt=i(t=>`
   .pieCircle{
     stroke: ${t.pieStrokeColor};
     stroke-width : ${t.pieStrokeWidth};

LightRAG-main/lightrag/api/webui/assets/stateDiagram-v2-5AN5P6BG-BTNZgWMN.js

@@ -1 +1 @@
-import{s as r,b as e,a,S as i}from"./chunk-OW32GOEJ-CXy-rraF.js";import{_ as s}from"./mermaid-vendor-C4V_MkUy.js";import"./chunk-BFAMUDN2-lYQpQICr.js";import"./chunk-SKB7J2MH-JBIfIwyf.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var f={parser:a,get db(){return new i(2)},renderer:e,styles:r,init:s(t=>{t.state||(t.state={}),t.state.arrowMarkerAbsolute=t.arrowMarkerAbsolute},"init")};export{f as diagram};
+import{s as r,b as e,a,S as i}from"./chunk-OW32GOEJ-CHuxbc0x.js";import{_ as s}from"./mermaid-vendor-GB05DkYd.js";import"./chunk-BFAMUDN2-ghvP-Rq6.js";import"./chunk-SKB7J2MH-gQmYvnvi.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var f={parser:a,get db(){return new i(2)},renderer:e,styles:r,init:s(t=>{t.state||(t.state={}),t.state.arrowMarkerAbsolute=t.arrowMarkerAbsolute},"init")};export{f as diagram};

LightRAG-main/lightrag/api/webui/assets/timeline-definition-MYPXXCX6-BrSkEh_e.js

@@ -1,4 +1,4 @@
-import{_ as s,c as xt,l as E,d as q,a3 as kt,a4 as _t,a5 as bt,a6 as vt,N as nt,D as wt,a7 as St,z as Et}from"./mermaid-vendor-C4V_MkUy.js";import"./feature-graph-C2lnkH6U.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var X=function(){var n=s(function(f,r,a,h){for(a=a||{},h=f.length;h--;a[f[h]]=r);return a},"o"),t=[6,8,10,11,12,14,16,17,20,21],e=[1,9],l=[1,10],i=[1,11],d=[1,12],c=[1,13],g=[1,16],m=[1,17],p={trace:s(function(){},"trace"),yy:{},symbols_:{error:2,start:3,timeline:4,document:5,EOF:6,line:7,SPACE:8,statement:9,NEWLINE:10,title:11,acc_title:12,acc_title_value:13,acc_descr:14,acc_descr_value:15,acc_descr_multiline_value:16,section:17,period_statement:18,event_statement:19,period:20,event:21,$accept:0,$end:1},terminals_:{2:"error",4:"timeline",6:"EOF",8:"SPACE",10:"NEWLINE",11:"title",12:"acc_title",13:"acc_title_value",14:"acc_descr",15:"acc_descr_value",16:"acc_descr_multiline_value",17:"section",20:"period",21:"event"},productions_:[0,[3,3],[5,0],[5,2],[7,2],[7,1],[7,1],[7,1],[9,1],[9,2],[9,2],[9,1],[9,1],[9,1],[9,1],[18,1],[19,1]],performAction:s(function(r,a,h,u,y,o,S){var k=o.length-1;switch(y){case 1:return o[k-1];case 2:this.$=[];break;case 3:o[k-1].push(o[k]),this.$=o[k-1];break;case 4:case 5:this.$=o[k];break;case 6:case 7:this.$=[];break;case 8:u.getCommonDb().setDiagramTitle(o[k].substr(6)),this.$=o[k].substr(6);break;case 9:this.$=o[k].trim(),u.getCommonDb().setAccTitle(this.$);break;case 10:case 11:this.$=o[k].trim(),u.getCommonDb().setAccDescription(this.$);break;case 12:u.addSection(o[k].substr(8)),this.$=o[k].substr(8);break;case 15:u.addTask(o[k],0,""),this.$=o[k];break;case 16:u.addEvent(o[k].substr(2)),this.$=o[k];break}},"anonymous"),table:[{3:1,4:[1,2]},{1:[3]},n(t,[2,2],{5:3}),{6:[1,4],7:5,8:[1,6],9:7,10:[1,8],11:e,12:l,14:i,16:d,17:c,18:14,19:15,20:g,21:m},n(t,[2,7],{1:[2,1]}),n(t,[2,3]),{9:18,11:e,12:l,14:i,16:d,17:c,18:14,19:15,20:g,21:m},n(t,[2,5]),n(t,[2,6]),n(t,[2,8]),{13:[1,19]},{15:[1,20]},n(t,[2,11]),n(t,[2,12]),n(t,[2,13]),n(t,[2,14]),n(t,[2,15]),n(t,[2,16]),n(t,[2,4]),n(t,[2,9]),n(t,[2,10])],defaultActions:{},parseError:s(function(r,a){if(a.recoverable)this.trace(r);else{var h=new Error(r);throw h.hash=a,h}},"parseError"),parse:s(function(r){var a=this,h=[0],u=[],y=[null],o=[],S=this.table,k="",M=0,C=0,B=2,J=1,O=o.slice.call(arguments,1),_=Object.create(this.lexer),N={yy:{}};for(var L in this.yy)Object.prototype.hasOwnProperty.call(this.yy,L)&&(N.yy[L]=this.yy[L]);_.setInput(r,N.yy),N.yy.lexer=_,N.yy.parser=this,typeof _.yylloc>"u"&&(_.yylloc={});var v=_.yylloc;o.push(v);var $=_.options&&_.options.ranges;typeof N.yy.parseError=="function"?this.parseError=N.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function R(T){h.length=h.length-2*T,y.length=y.length-T,o.length=o.length-T}s(R,"popStack");function A(){var T;return T=u.pop()||_.lex()||J,typeof T!="number"&&(T instanceof Array&&(u=T,T=u.pop()),T=a.symbols_[T]||T),T}s(A,"lex");for(var w,H,I,K,F={},j,P,et,G;;){if(H=h[h.length-1],this.defaultActions[H]?I=this.defaultActions[H]:((w===null||typeof w>"u")&&(w=A()),I=S[H]&&S[H][w]),typeof I>"u"||!I.length||!I[0]){var Q="";G=[];for(j in S[H])this.terminals_[j]&&j>B&&G.push("'"+this.terminals_[j]+"'");_.showPosition?Q="Parse error on line "+(M+1)+`:
+import{_ as s,c as xt,l as E,d as q,a3 as kt,a4 as _t,a5 as bt,a6 as vt,N as nt,D as wt,a7 as St,z as Et}from"./mermaid-vendor-GB05DkYd.js";import"./feature-graph-Ce9OX-bo.js";import"./react-vendor-DEwriMA6.js";import"./graph-vendor-B-X5JegA.js";import"./ui-vendor-CeCm8EER.js";import"./utils-vendor-BysuhMZA.js";var X=function(){var n=s(function(f,r,a,h){for(a=a||{},h=f.length;h--;a[f[h]]=r);return a},"o"),t=[6,8,10,11,12,14,16,17,20,21],e=[1,9],l=[1,10],i=[1,11],d=[1,12],c=[1,13],g=[1,16],m=[1,17],p={trace:s(function(){},"trace"),yy:{},symbols_:{error:2,start:3,timeline:4,document:5,EOF:6,line:7,SPACE:8,statement:9,NEWLINE:10,title:11,acc_title:12,acc_title_value:13,acc_descr:14,acc_descr_value:15,acc_descr_multiline_value:16,section:17,period_statement:18,event_statement:19,period:20,event:21,$accept:0,$end:1},terminals_:{2:"error",4:"timeline",6:"EOF",8:"SPACE",10:"NEWLINE",11:"title",12:"acc_title",13:"acc_title_value",14:"acc_descr",15:"acc_descr_value",16:"acc_descr_multiline_value",17:"section",20:"period",21:"event"},productions_:[0,[3,3],[5,0],[5,2],[7,2],[7,1],[7,1],[7,1],[9,1],[9,2],[9,2],[9,1],[9,1],[9,1],[9,1],[18,1],[19,1]],performAction:s(function(r,a,h,u,y,o,S){var k=o.length-1;switch(y){case 1:return o[k-1];case 2:this.$=[];break;case 3:o[k-1].push(o[k]),this.$=o[k-1];break;case 4:case 5:this.$=o[k];break;case 6:case 7:this.$=[];break;case 8:u.getCommonDb().setDiagramTitle(o[k].substr(6)),this.$=o[k].substr(6);break;case 9:this.$=o[k].trim(),u.getCommonDb().setAccTitle(this.$);break;case 10:case 11:this.$=o[k].trim(),u.getCommonDb().setAccDescription(this.$);break;case 12:u.addSection(o[k].substr(8)),this.$=o[k].substr(8);break;case 15:u.addTask(o[k],0,""),this.$=o[k];break;case 16:u.addEvent(o[k].substr(2)),this.$=o[k];break}},"anonymous"),table:[{3:1,4:[1,2]},{1:[3]},n(t,[2,2],{5:3}),{6:[1,4],7:5,8:[1,6],9:7,10:[1,8],11:e,12:l,14:i,16:d,17:c,18:14,19:15,20:g,21:m},n(t,[2,7],{1:[2,1]}),n(t,[2,3]),{9:18,11:e,12:l,14:i,16:d,17:c,18:14,19:15,20:g,21:m},n(t,[2,5]),n(t,[2,6]),n(t,[2,8]),{13:[1,19]},{15:[1,20]},n(t,[2,11]),n(t,[2,12]),n(t,[2,13]),n(t,[2,14]),n(t,[2,15]),n(t,[2,16]),n(t,[2,4]),n(t,[2,9]),n(t,[2,10])],defaultActions:{},parseError:s(function(r,a){if(a.recoverable)this.trace(r);else{var h=new Error(r);throw h.hash=a,h}},"parseError"),parse:s(function(r){var a=this,h=[0],u=[],y=[null],o=[],S=this.table,k="",M=0,C=0,B=2,J=1,O=o.slice.call(arguments,1),_=Object.create(this.lexer),N={yy:{}};for(var L in this.yy)Object.prototype.hasOwnProperty.call(this.yy,L)&&(N.yy[L]=this.yy[L]);_.setInput(r,N.yy),N.yy.lexer=_,N.yy.parser=this,typeof _.yylloc>"u"&&(_.yylloc={});var v=_.yylloc;o.push(v);var $=_.options&&_.options.ranges;typeof N.yy.parseError=="function"?this.parseError=N.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function R(T){h.length=h.length-2*T,y.length=y.length-T,o.length=o.length-T}s(R,"popStack");function A(){var T;return T=u.pop()||_.lex()||J,typeof T!="number"&&(T instanceof Array&&(u=T,T=u.pop()),T=a.symbols_[T]||T),T}s(A,"lex");for(var w,H,I,K,F={},j,P,et,G;;){if(H=h[h.length-1],this.defaultActions[H]?I=this.defaultActions[H]:((w===null||typeof w>"u")&&(w=A()),I=S[H]&&S[H][w]),typeof I>"u"||!I.length||!I[0]){var Q="";G=[];for(j in S[H])this.terminals_[j]&&j>B&&G.push("'"+this.terminals_[j]+"'");_.showPosition?Q="Parse error on line "+(M+1)+`:
 `+_.showPosition()+`
 Expecting `+G.join(", ")+", got '"+(this.terminals_[w]||w)+"'":Q="Parse error on line "+(M+1)+": Unexpected "+(w==J?"end of input":"'"+(this.terminals_[w]||w)+"'"),this.parseError(Q,{text:_.match,token:this.terminals_[w]||w,line:_.yylineno,loc:v,expected:G})}if(I[0]instanceof Array&&I.length>1)throw new Error("Parse Error: multiple actions possible at state: "+H+", token: "+w);switch(I[0]){case 1:h.push(w),y.push(_.yytext),o.push(_.yylloc),h.push(I[1]),w=null,C=_.yyleng,k=_.yytext,M=_.yylineno,v=_.yylloc;break;case 2:if(P=this.productions_[I[1]][1],F.$=y[y.length-P],F._$={first_line:o[o.length-(P||1)].first_line,last_line:o[o.length-1].last_line,first_column:o[o.length-(P||1)].first_column,last_column:o[o.length-1].last_column},$&&(F._$.range=[o[o.length-(P||1)].range[0],o[o.length-1].range[1]]),K=this.performAction.apply(F,[k,C,M,N.yy,I[1],y,o].concat(O)),typeof K<"u")return K;P&&(h=h.slice(0,-1*P*2),y=y.slice(0,-1*P),o=o.slice(0,-1*P)),h.push(this.productions_[I[1]][0]),y.push(F.$),o.push(F._$),et=S[h[h.length-2]][h[h.length-1]],h.push(et);break;case 3:return!0}}return!0},"parse")},x=function(){var f={EOF:1,parseError:s(function(a,h){if(this.yy.parser)this.yy.parser.parseError(a,h);else throw new Error(a)},"parseError"),setInput:s(function(r,a){return this.yy=a||this.yy||{},this._input=r,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},"setInput"),input:s(function(){var r=this._input[0];this.yytext+=r,this.yyleng++,this.offset++,this.match+=r,this.matched+=r;var a=r.match(/(?:\r\n?|\n).*/g);return a?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),r},"input"),unput:s(function(r){var a=r.length,h=r.split(/(?:\r\n?|\n)/g);this._input=r+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-a),this.offset-=a;var u=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),h.length-1&&(this.yylineno-=h.length-1);var y=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:h?(h.length===u.length?this.yylloc.first_column:0)+u[u.length-h.length].length-h[0].length:this.yylloc.first_column-a},this.options.ranges&&(this.yylloc.range=[y[0],y[0]+this.yyleng-a]),this.yyleng=this.yytext.length,this},"unput"),more:s(function(){return this._more=!0,this},"more"),reject:s(function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).
 `+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},"reject"),less:s(function(r){this.unput(this.match.slice(r))},"less"),pastInput:s(function(){var r=this.matched.substr(0,this.matched.length-this.match.length);return(r.length>20?"...":"")+r.substr(-20).replace(/\n/g,"")},"pastInput"),upcomingInput:s(function(){var r=this.match;return r.length<20&&(r+=this._input.substr(0,20-r.length)),(r.substr(0,20)+(r.length>20?"...":"")).replace(/\n/g,"")},"upcomingInput"),showPosition:s(function(){var r=this.pastInput(),a=new Array(r.length+1).join("-");return r+this.upcomingInput()+`

LightRAG-main/lightrag/api/webui/index.html

@@ -8,18 +8,18 @@
     <link rel="icon" type="image/png" href="favicon.png" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>RailSeek</title>
-    <script type="module" crossorigin src="/webui/assets/index-CSBE424h.js"></script>
+    <script type="module" crossorigin src="/webui/assets/index-4EuN1Ajv.js"></script>
     <link rel="modulepreload" crossorigin href="/webui/assets/react-vendor-DEwriMA6.js">
     <link rel="modulepreload" crossorigin href="/webui/assets/ui-vendor-CeCm8EER.js">
     <link rel="modulepreload" crossorigin href="/webui/assets/graph-vendor-B-X5JegA.js">
     <link rel="modulepreload" crossorigin href="/webui/assets/utils-vendor-BysuhMZA.js">
-    <link rel="modulepreload" crossorigin href="/webui/assets/feature-graph-C2lnkH6U.js">
-    <link rel="modulepreload" crossorigin href="/webui/assets/feature-documents-Cz85jZmh.js">
-    <link rel="modulepreload" crossorigin href="/webui/assets/mermaid-vendor-C4V_MkUy.js">
-    <link rel="modulepreload" crossorigin href="/webui/assets/markdown-vendor-DQBWdwkI.js">
-    <link rel="modulepreload" crossorigin href="/webui/assets/feature-retrieval-24678VmD.js">
+    <link rel="modulepreload" crossorigin href="/webui/assets/feature-graph-Ce9OX-bo.js">
+    <link rel="modulepreload" crossorigin href="/webui/assets/feature-documents-D0lvjDJ6.js">
+    <link rel="modulepreload" crossorigin href="/webui/assets/mermaid-vendor-GB05DkYd.js">
+    <link rel="modulepreload" crossorigin href="/webui/assets/markdown-vendor-BiwnQtuo.js">
+    <link rel="modulepreload" crossorigin href="/webui/assets/feature-retrieval-d11Pfb66.js">
     <link rel="stylesheet" crossorigin href="/webui/assets/feature-graph-BipNuM18.css">
-    <link rel="stylesheet" crossorigin href="/webui/assets/index-Dgjqs9Yg.css">
+    <link rel="stylesheet" crossorigin href="/webui/assets/index-BTI4OT92.css">
   </head>
   <body>
     <div id="root"></div>

LightRAG-main/lightrag/api/workspace_manager.py

@@ -5,6 +5,7 @@ Provides isolation between different workspaces by managing separate LightRAG in
 
 import os
 import logging
+import asyncio
 from pathlib import Path
 from typing import Dict, List, Optional, Tuple
 from lightrag import LightRAG
@@ -62,11 +63,54 @@ class WorkspaceManager:
             logger.error(f"Failed to create workspace '{name}': {e}")
             raise
 
-    def delete_workspace(self, name: str) -> bool:
+    async def delete_workspace(self, name: str) -> bool:
         """Delete a workspace directory and all its data."""
-        # TODO: implement deletion with caution (maybe require confirmation)
-        # For now, just raise NotImplementedError
-        raise NotImplementedError("Workspace deletion not yet implemented")
+        import shutil
+        from pathlib import Path
+        
+        # Validate name
+        if not name or not name.strip():
+            raise ValueError("Workspace name cannot be empty")
+        name = name.strip()
+        
+        # Check if workspace exists
+        workspace_dir = self.base_working_dir / name
+        input_subdir = self.base_input_dir / name
+        if not workspace_dir.exists() and not input_subdir.exists():
+            raise ValueError(f"Workspace '{name}' does not exist")
+        
+        # Remove cached instances
+        if name in self._rag_instances:
+            del self._rag_instances[name]
+        if name in self._doc_managers:
+            del self._doc_managers[name]
+        
+        # Delete workspace data from storage (vector DB, KV, graph, etc.)
+        try:
+            if self.lightrag_factory:
+                # Create a temporary LightRAG instance for this workspace to delete its data
+                rag = self.lightrag_factory(str(self.base_working_dir), name)
+                # Call async delete_workspace_data
+                await rag.adelete_workspace_data()
+                logger.info(f"Deleted workspace data for '{name}' from storage")
+            else:
+                logger.warning("No lightrag_factory provided; workspace data may remain in storage")
+        except Exception as e:
+            logger.warning(f"Failed to delete workspace data for '{name}': {e}. Proceeding with directory deletion.")
+        
+        # Delete directories recursively
+        try:
+            if workspace_dir.exists():
+                shutil.rmtree(workspace_dir)
+                logger.info(f"Deleted workspace directory: {workspace_dir}")
+            if input_subdir.exists():
+                shutil.rmtree(input_subdir)
+                logger.info(f"Deleted workspace input directory: {input_subdir}")
+        except Exception as e:
+            logger.error(f"Failed to delete workspace '{name}': {e}")
+            raise
+        
+        return True
 
     def get_rag(self, workspace: str = "") -> LightRAG:
         """Get or create a LightRAG instance for the given workspace."""

LightRAG-main/lightrag/document_processor.py

@@ -30,6 +30,9 @@ if workspace_dir not in sys.path:
     sys.path.insert(0, workspace_dir)
 from fast_image_classifier import get_image_classifier
 
+# Import optimized OCR processor
+from .optimized_ocr_processor import OptimizedOCRProcessor
+
 # Configure logging
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
@@ -377,9 +380,11 @@ class DocumentProcessor:
     
     def __init__(self):
         self.config = get_config()
-        self.ocr_processor = OCRProcessor(
+        self.ocr_processor = OptimizedOCRProcessor(
             use_gpu=self.config.performance.USE_GPU,
-            languages=self.config.document_processing.OCR_LANGUAGES
+            languages=self.config.document_processing.OCR_LANGUAGES,
+            batch_size=4,  # Process 4 images at a time for better performance
+            max_workers=2   # Use 2 parallel workers for async operations
         )
         self.supported_extensions = self.config.document_processing.SUPPORTED_EXTENSIONS
         
@@ -438,12 +443,15 @@ class DocumentProcessor:
     
     def _extract_and_process_images(self, images: List[Any], file_type: str) -> Tuple[List[Dict[str, Any]], str]:
         """
-        Extract and process images from documents
+        Extract and process images from documents with batch OCR processing
         Returns processed images metadata and additional content from OCR
         """
         processed_images = []
         additional_content = []
+        temp_paths = []
+        temp_files = []
         
+        # Step 1: Save all images to temporary files
         for i, image_data in enumerate(images):
             temp_path = None
             try:
@@ -461,62 +469,95 @@ class DocumentProcessor:
                     temp_file.write(image_bytes)
                     temp_path = temp_file.name
                 
-                # Process image with OCR first, then classify only if no text found
-                image_metadata = {"path": temp_path, "index": i}
+                temp_paths.append(temp_path)
+                temp_files.append((i, temp_path, image_data))
                 
-                # Step 1: Always run GPU OCR first
-                if self.ocr_processor.ocr_available:
-                    try:
-                        logger.info(f"Running GPU OCR on image {i+1}")
+            except Exception as e:
+                logger.error(f"Error saving image {i} to temporary file: {e}")
+                processed_images.append({
+                    "index": i,
+                    "error": str(e),
+                    "path": temp_path or "unknown"
+                })
+        
+        if not temp_paths:
+            return processed_images, ""
+        
+        # Step 2: Batch OCR processing
+        batch_results = []
+        if self.ocr_processor.ocr_available:
+            try:
+                logger.info(f"Running batch OCR on {len(temp_paths)} images")
+                batch_results = self.ocr_processor.extract_text_from_images_batch(temp_paths)
+                logger.info(f"Batch OCR completed for {len(batch_results)} images")
+            except Exception as e:
+                logger.error(f"Batch OCR processing failed: {e}")
+                # Fall back to individual processing
+                batch_results = []
+        
+        # Step 3: Process results
+        for idx, (i, temp_path, image_data) in enumerate(temp_files):
+            image_metadata = {"path": temp_path, "index": i}
+            
+            try:
+                # Get OCR result for this image
+                ocr_result = None
+                if batch_results and idx < len(batch_results):
+                    batch_result = batch_results[idx]
+                    ocr_result = {
+                        "text": batch_result.text,
+                        "confidence": batch_result.confidence,
+                        "bboxes": batch_result.bboxes,
+                        "line_count": batch_result.line_count
+                    }
+                else:
+                    # Fallback to individual OCR
+                    if self.ocr_processor.ocr_available:
                         ocr_result = self.ocr_processor.extract_text_from_image(temp_path)
-                        logger.info(f"OCR result for image {i+1}: {len(ocr_result['text'])} characters, confidence: {ocr_result['confidence']}")
-                        
-                        if ocr_result["text"].strip():
-                            image_metadata["ocr_text"] = ocr_result["text"]
-                            image_metadata["ocr_confidence"] = ocr_result["confidence"]
-                            additional_content.append(f"[Image {i+1} OCR Text]: {ocr_result['text']}")
-                            logger.info(f"Image {i+1} has text content, skipping classification")
-                        else:
-                            logger.info(f"Image {i+1} has no text, proceeding to classification")
-                            # Step 2: Only classify if OCR found no text
-                            if self.image_classifier and self.image_classifier.available:
-                                try:
-                                    classification_results = self.image_classifier.classify_image(temp_path, top_k=3)
-                                    image_metadata["classification"] = classification_results
-                                    # Add classification to content for indexing
-                                    top_label = classification_results[0]["label"] if classification_results else "unknown"
-                                    top_confidence = classification_results[0]["confidence"] if classification_results else 0.0
-                                    image_metadata["primary_classification"] = top_label
-                                    # Add classification with confidence for better searchability
-                                    classification_text = f"[Image {i+1} Classification]: {top_label} (confidence: {top_confidence:.2f})"
-                                    additional_content.append(classification_text)
-                                    logger.info(f"Image {i+1} classified as: {top_label} with confidence {top_confidence:.2f}")
-                                    
-                                    # Add bee classification as a special entity for search
-                                    if "bee" in top_label.lower():
-                                        # Add multiple variations to ensure it gets picked up by entity extraction
-                                        bee_entity_text = f"Bee image classification: {top_label} with confidence {top_confidence:.2f}. This image contains a bee."
-                                        additional_content.append(bee_entity_text)
-                                        # Also add as standalone entity markers
-                                        additional_content.append("Entity: Bee")
-                                        additional_content.append("Entity: Insect")
-                                        additional_content.append("Entity: Animal")
-                                        
-                                except Exception as classify_error:
-                                    logger.error(f"Image classification failed for image {i+1}: {classify_error}")
-                                    image_metadata["classification_error"] = str(classify_error)
-                    except Exception as ocr_error:
-                        logger.error(f"OCR processing failed for image {i+1}: {ocr_error}")
-                        image_metadata["ocr_error"] = str(ocr_error)
+                
+                if ocr_result and ocr_result["text"].strip():
+                    image_metadata["ocr_text"] = ocr_result["text"]
+                    image_metadata["ocr_confidence"] = ocr_result["confidence"]
+                    additional_content.append(f"[Image {i+1} OCR Text]: {ocr_result['text']}")
+                    logger.info(f"Image {i+1} has text content, skipping classification")
+                else:
+                    logger.info(f"Image {i+1} has no text, proceeding to classification")
+                    # Step 4: Only classify if OCR found no text
+                    if self.image_classifier and self.image_classifier.available:
+                        try:
+                            classification_results = self.image_classifier.classify_image(temp_path, top_k=3)
+                            image_metadata["classification"] = classification_results
+                            # Add classification to content for indexing
+                            top_label = classification_results[0]["label"] if classification_results else "unknown"
+                            top_confidence = classification_results[0]["confidence"] if classification_results else 0.0
+                            image_metadata["primary_classification"] = top_label
+                            # Add classification with confidence for better searchability
+                            classification_text = f"[Image {i+1} Classification]: {top_label} (confidence: {top_confidence:.2f})"
+                            additional_content.append(classification_text)
+                            logger.info(f"Image {i+1} classified as: {top_label} with confidence {top_confidence:.2f}")
+                            
+                            # Add bee classification as a special entity for search
+                            if "bee" in top_label.lower():
+                                # Add multiple variations to ensure it gets picked up by entity extraction
+                                bee_entity_text = f"Bee image classification: {top_label} with confidence {top_confidence:.2f}. This image contains a bee."
+                                additional_content.append(bee_entity_text)
+                                # Also add as standalone entity markers
+                                additional_content.append("Entity: Bee")
+                                additional_content.append("Entity: Insect")
+                                additional_content.append("Entity: Animal")
+                                
+                        except Exception as classify_error:
+                            logger.error(f"Image classification failed for image {i+1}: {classify_error}")
+                            image_metadata["classification_error"] = str(classify_error)
                 
                 processed_images.append(image_metadata)
-                    
+                
             except Exception as e:
                 logger.error(f"Error processing image {i}: {e}")
                 processed_images.append({
                     "index": i,
                     "error": str(e),
-                    "path": temp_path or "unknown"
+                    "path": temp_path
                 })
             finally:
                 # Clean up temporary file

LightRAG-main/lightrag/lightrag.py

@@ -2250,6 +2250,50 @@ class LightRAG:
         except Exception as e:
             logger.error(f"Error while clearing cache: {e}")
 
+    async def adelete_workspace_data(self) -> None:
+        """Delete all data for the current workspace from all storage instances.
+
+        This method drops all collections/namespaces for the workspace, effectively
+        clearing all documents, chunks, entities, relationships, and cache.
+        Should be called before deleting workspace directories.
+
+        Example:
+            # Delete all workspace data
+            await rag.adelete_workspace_data()
+        """
+        logger.info(f"Deleting all workspace data for workspace: {self.workspace}")
+        # Ensure storages are initialized before dropping
+        if self._storages_status != StoragesStatus.INITIALIZED:
+            await self.initialize_storages()
+        storages = [
+            ("full_docs", self.full_docs),
+            ("text_chunks", self.text_chunks),
+            ("full_entities", self.full_entities),
+            ("full_relations", self.full_relations),
+            ("entities_vdb", self.entities_vdb),
+            ("relationships_vdb", self.relationships_vdb),
+            ("chunks_vdb", self.chunks_vdb),
+            ("chunk_entity_relation_graph", self.chunk_entity_relation_graph),
+            ("llm_response_cache", self.llm_response_cache),
+            ("doc_status", self.doc_status),
+        ]
+        for name, storage in storages:
+            if storage is None:
+                continue
+            try:
+                success = await storage.drop()
+                if success:
+                    logger.debug(f"Successfully dropped {name} for workspace {self.workspace}")
+                else:
+                    logger.warning(f"Failed to drop {name} for workspace {self.workspace}")
+            except Exception as e:
+                logger.error(f"Error dropping {name}: {e}")
+        logger.info(f"Workspace data deletion completed for workspace: {self.workspace}")
+
+    def delete_workspace_data(self) -> None:
+        """Synchronous version of adelete_workspace_data."""
+        return always_get_an_event_loop().run_until_complete(self.adelete_workspace_data())
+
     def clear_cache(self) -> None:
         """Synchronous version of aclear_cache."""
         return always_get_an_event_loop().run_until_complete(self.aclear_cache())

LightRAG-main/lightrag/llm/ollama.py

@@ -159,6 +159,8 @@ async def ollama_embed(texts: list[str], embed_model, **kwargs) -> np.ndarray:
     host = kwargs.pop("host", None)
     timeout = kwargs.pop("timeout", None)
 
+    logger.info(f"ollama_embed: host={host}, api_key={'***' if api_key else None}, headers={headers}")
+
     ollama_client = ollama.AsyncClient(host=host, timeout=timeout, headers=headers)
     try:
         options = kwargs.pop("options", {})

LightRAG-main/lightrag/operate.py

@@ -4008,6 +4008,7 @@ async def _build_llm_context(
     if not entities_context and not relations_context:
         if return_raw_data:
             # Return empty raw data structure when no entities/relations
+            logger.debug(f"[_build_query_context] Early return (mode != mix) with empty raw data")
             empty_raw_data = _convert_to_user_format(
                 [],
                 [],
@@ -4122,12 +4123,34 @@ async def _build_query_context(
         chunks_vdb,
     )
 
+    logger.debug(f"[_build_query_context] Early return check: entities={len(search_result['final_entities'])}, relations={len(search_result['final_relations'])}, chunk_tracking={search_result.get('chunk_tracking')}, mode={query_param.mode}, return_raw_data={return_raw_data}")
     if not search_result["final_entities"] and not search_result["final_relations"]:
         if query_param.mode != "mix":
-            return None
+            if return_raw_data:
+                # Return empty raw data structure when no entities/relations
+                empty_raw_data = _convert_to_user_format(
+                    [],
+                    [],
+                    [],
+                    query_param.mode,
+                )
+                return None, empty_raw_data
+            else:
+                return None
         else:
             if not search_result["chunk_tracking"]:
-                return None
+                if return_raw_data:
+                    # Return empty raw data structure when no entities/relations/chunks
+                    logger.debug(f"[_build_query_context] Early return (mode=mix, no chunk_tracking) with empty raw data")
+                    empty_raw_data = _convert_to_user_format(
+                        [],
+                        [],
+                        [],
+                        query_param.mode,
+                    )
+                    return None, empty_raw_data
+                else:
+                    return None
 
     # Stage 2: Apply token truncation for LLM efficiency
     truncation_result = await _apply_token_truncation(
@@ -4155,7 +4178,17 @@ async def _build_query_context(
         and not truncation_result["entities_context"]
         and not truncation_result["relations_context"]
     ):
-        return None
+        if return_raw_data:
+            # Return empty raw data structure when no entities/relations/chunks
+            empty_raw_data = _convert_to_user_format(
+                [],
+                [],
+                [],
+                query_param.mode,
+            )
+            return None, empty_raw_data
+        else:
+            return None
 
     # Stage 4: Build final LLM context with dynamic token processing