- Added support for content hash fallback in document migration to prevent duplicate entries from different sources.
- Improved existing document update logic to handle renaming and metadata updates more effectively, particularly for Google Drive files.
- Updated functions to check for existing documents with enhanced logging for better traceability of duplicate content detection.
- Implemented support for both new file_id-based and legacy filename-based hash schemes in document processing.
- Added functions to generate unique identifier hashes and find existing documents with migration support.
- Improved existing document update logic to handle content changes and metadata updates, particularly for Google Drive files.
- Enhanced UI components to display appropriate file icons based on file types in the Google Drive connector.
- Updated document processing functions to accommodate the new connector structure and ensure seamless integration.
- Introduced a new DocumentProcessingNotificationHandler to manage notifications for document processing stages.
- Updated existing notification methods to include detailed progress updates for various stages (queued, parsing, chunking, embedding, storing, completed, failed).
- Refactored NotificationService to support the new document processing notification type and metadata schema.
- Updated multiple document processing tasks to create and manage notifications throughout the processing lifecycle.
- Adjusted UI components to reflect changes in notification types and improve user experience during document uploads and processing.
- Add optional 'connector' parameter with 'type' and 'metadata' fields
- Create helper function _update_document_from_connector
- Use document_metadata column (not metadata) for JSON field
- Merge metadata with existing using dict spread operator
- Google Drive documents now marked as GOOGLE_DRIVE_CONNECTOR
- Backward compatible - no changes to existing logic
- Simple and clean implementation
- Added `validate_llm_config` function to `llm_service.py` for validating LLM configurations via test API calls.
- Integrated validation in `create_llm_config` and `update_llm_config` routes in `llm_config_routes.py`, raising HTTP exceptions for invalid configurations.
- Enhanced error handling to provide detailed feedback on configuration issues.
- Added warning suppression for pdfminer warnings during Docling PDF processing
- Suppresses 'Cannot set gray non-stroke color' warnings that cause uploads to halt
- Temporarily sets pdfminer logger to ERROR level during document processing
- Fixes issue where files ~34MB would fail due to pdfminer warning spam
Resolves issue where PDF uploads would halt with repeated pdfminer warnings
- RBAC soon??
- Updated various services and routes to handle search space-specific LLM preferences.
- Modified frontend components to pass search space ID for LLM configuration management.
- Removed onboarding page and settings page as part of the refactor.
