Implements Notion MCP integration core:
- OAuth 2.0 discovery (RFC 9470 + 8414), dynamic client registration,
PKCE token exchange, and refresh with rotation
- NotionMCPAdapter connecting to mcp.notion.com/mcp with fallback
to direct API on known serialization errors
- Response parser translating MCP text responses into dicts matching
NotionHistoryConnector output format
- has_mcp_notion_connector() helper for connector gating
- Enhanced Azure Document Intelligence parser to raise an error for empty or whitespace-only content.
- Updated LLMRouterService to log premium model strings more clearly.
- Added automatic encoding detection for file reading in document processors.
- Improved error handling for empty markdown content extraction in file processors.
- Refactored DocumentUploadTab component for better accessibility and user interaction.
Build and Push Docker Images / tag_release (push) Waiting to run
Build and Push Docker Images / build (./surfsense_backend, ./surfsense_backend/Dockerfile, backend, surfsense-backend, ubuntu-24.04-arm, linux/arm64, arm64) (push) Blocked by required conditions
Build and Push Docker Images / build (./surfsense_backend, ./surfsense_backend/Dockerfile, backend, surfsense-backend, ubuntu-latest, linux/amd64, amd64) (push) Blocked by required conditions
Build and Push Docker Images / build (./surfsense_web, ./surfsense_web/Dockerfile, web, surfsense-web, ubuntu-24.04-arm, linux/arm64, arm64) (push) Blocked by required conditions
Build and Push Docker Images / build (./surfsense_web, ./surfsense_web/Dockerfile, web, surfsense-web, ubuntu-latest, linux/amd64, amd64) (push) Blocked by required conditions
Build and Push Docker Images / create_manifest (backend, surfsense-backend) (push) Blocked by required conditions
Build and Push Docker Images / create_manifest (web, surfsense-web) (push) Blocked by required conditions
- Introduced a `ProcessingMode` enum to differentiate between basic and premium processing modes.
- Updated `EtlRequest` to include a `processing_mode` field, defaulting to basic.
- Enhanced ETL pipeline services to utilize the selected processing mode for Azure Document Intelligence and LlamaCloud parsing.
- Modified various routes and services to handle processing mode, affecting document upload and indexing tasks.
- Improved error handling and logging to include processing mode details.
- Added tests to validate processing mode functionality and its impact on ETL operations.
- Optimized the vision autocomplete service by starting the SSE stream immediately and deriving KB search queries directly from window titles.
- Refactored the service to run KB filesystem pre-computation and agent graph compilation in parallel, improving performance.
- Updated the SuggestionPage component to handle new agent step data, displaying progress indicators for each step.
- Enhanced the CSS for the suggestion tooltip and agent activity indicators, improving the user interface and experience.
- Added a static method `estimate_pages_from_metadata` to `PageLimitService` for estimating page counts based on file metadata.
- Integrated page limit checks in Google Drive, Dropbox, and OneDrive indexers to prevent exceeding user quotas during file indexing.
- Updated relevant indexing methods to utilize the new page estimation logic and enforce limits accordingly.
- Enhanced tests for page limit functionality, ensuring accurate estimation and enforcement across different file types.
