- Add pagination support to BaseDocStatusStorage interface and all implementations (PostgreSQL, MongoDB, Redis, JSON)
- Implement RESTful API endpoints for paginated document queries and status counts
- Create reusable pagination UI components with internationalization support
- Optimize performance with database-level pagination and efficient in-memory processing
- Maintain backward compatibility while adding configurable page sizes (10-200 items)
- Add metadata field to doc_status storage with Unix timestamps for processing start/end times
- Update frontend API types: error -> error_msg, add track_id and metadata support
- Add getTrackStatus API method for document tracking functionality
- Fix frontend DocumentManager to use error_msg field for proper error display
- Ensure full compatibility between backend metadata changes and frontend UI
- Add sanitize_filename() function to validate and clean uploaded filenames
- Remove path separators, traversal sequences, and control characters
- Verify final paths stay within input directory using Path.resolve()
- Return HTTP 400 errors for unsafe filenames
- Prevents directory traversal attacks like ../../../etc/passwd
- New DELETE endpoint for document removal
- Implements doc_id-based deletion
- Handles pipeline status during operation
- Includes proper error handling
- Updates pipeline status messages
- Optimize JWT Auth module to load configuration via `global_args`.
- Decouple configuration-related code from `utils_api.py`, and add a new `config.py` file for unified configuration management.
- Adjust configuration import in `lightrag_server.py`, `auth.py`, and `document_routes.py` to be introduced through `global_args`.
- Use storage drop methods to properly clean up all data
- Add file deletion from input directory
- Add pipeline status checking and locking mechanism
- Improve error handling with detailed logging and pipeline message tracking
