- Add NotionKBSyncService for immediate KB updates after page changes
- Implement block ID verification to ensure content freshness
- Refactor duplicate block processing logic to shared utils
- Add user-friendly status messages
- Include debug logging for troubleshooting
- Improved decision extraction logic in create, delete, and update Notion page tools to ensure proper handling of approval decisions.
- Added a static method to NotionHistoryConnector for consistent error message extraction from API responses, enhancing readability and maintainability.
- Enhanced LinearConnector and NotionHistoryConnector classes to support automatic token refresh, improving reliability in accessing APIs.
- Updated initialization to require session and connector ID, allowing for dynamic credential management.
- Introduced new credential schemas for Linear and Notion, encapsulating access and refresh tokens with expiration handling.
- Refactored indexers to utilize the new connector structure, ensuring seamless integration with the updated authentication flow.
- Improved error handling and logging during token refresh processes for better debugging and user feedback.
- Updated documentation for the LinearConnector and NotionHistoryConnector classes to specify that the access token can also be an API key or integration token, enhancing clarity for users regarding token usage.
- Introduced Notion OAuth support with new environment variables for client ID, client secret, and redirect URI.
- Implemented Notion connector routes for OAuth flow, including authorization and callback handling.
- Updated existing components to accommodate Notion integration, including validation changes and connector configuration.
- Enhanced the Notion indexer to utilize OAuth access tokens instead of integration tokens.
- Adjusted UI components to reflect the new Notion connector without requiring special configuration.
- Increased task time limits in celery_app.py for longer processing times.
- Enhanced pagination logic in NotionHistoryConnector to handle large result sets.
- Implemented batch commits every 10 documents across various indexers (Airtable, ClickUp, Confluence, Discord, GitHub, Google Calendar, Gmail, JIRA, Linear, Luma, Notion, Slack) to improve performance and reduce database load.
- Updated final commit logging for clarity on total documents processed.