This commit introduces Alison, an AI-powered classroom IT support assistant, as a new module within the SurfSense application.
Key features of this implementation include:
- A new LangGraph-based agent for conversational troubleshooting.
- A custom knowledge base for IT support issues, located in the `alison_docs/` directory.
- An extension of the RAG pipeline to use Alison's knowledge base.
- Role-aware responses for professors and proctors.
- A configuration toggle to enable or disable the Alison module.
- Documentation for setting up and using Alison.
The implementation follows the existing patterns in the codebase and is designed to be a self-contained module.
Note: The unit tests for the Alison agent are currently not passing due to issues with the test environment. Further work is needed to get the tests to run correctly.
- Deleted the document_processing module and its associated docling_service.
- Updated imports in documents_routes.py and background_tasks.py to reflect the new service structure.
- Ensured compatibility with the task logging system by adjusting type hints for log entries.
- Integrated Docling ETL service with new task logging system
- Maintained consistent logging pattern across all ETL services
- Added progress and success/failure logging for Docling processing
- Added DOCLING as third ETL_SERVICE option (alongside UNSTRUCTURED/LLAMACLOUD)
- Implemented add_received_file_document_using_docling function
- Added Docling processing logic in documents_routes.py
- Enhanced chunking with configurable overlap support
- Added comprehensive document processing service
- Supports both CPU and GPU processing with user selection
Addresses #161 - Add Docling Support as an ETL_SERVICE
Follows same pattern as LlamaCloud integration (PR #123)
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- Earlier for each chunk, whole message (with all annotations included)
were streamed. Leading to extremely large data length.
- Fixed to only stream new chunk.
- Updated ANSWER part to be streamed as message content (following
Vercel's Stream Protocol)\
- Fixed yield typo
- Integrated TaskLoggingService to log the start, progress, success, and failure of podcast generation tasks.
- Updated user ID handling to ensure it is consistently converted to a string across various tasks.
- Modified frontend success message to direct users to the logs tab for status updates on podcast generation.
- Added TaskLoggingService to log the start, progress, success, and failure of indexing tasks for Slack, Notion, GitHub, Linear, and Discord connectors.
- Updated frontend to reflect changes in indexing status messages.
- Updated import paths for LLM, connector, query, and streaming services to reflect their new location in the 'services' module.
- Removed obsolete utility service files that have been migrated.
