- Added processingScheduler.js and processingScheduler.ts to handle session transcript processing using OpenAI API.
- Implemented a new scheduler (scheduler.js and schedulers.ts) for refreshing sessions every 15 minutes.
- Updated Prisma migrations to add new fields for processed sessions, including questions, sentimentCategory, and summary.
- Created scripts (process_sessions.mjs and process_sessions.ts) for manual processing of unprocessed sessions.
- Enhanced server.js and server.mjs to initialize schedulers on server start.
Adds Markdown rendering to the transcript viewer for enhanced formatting.
This change integrates `react-markdown` to parse and render transcript content, allowing for richer text formatting, including links and other Markdown elements. It also adds a toggle to switch between raw and formatted text, and displays a message when transcript content is unavailable. The UI of the transcript viewer has been improved to be more user-friendly with titles and descriptions.
Adds a transcript viewer component to display transcript content within the session details page.
This change introduces a new `TranscriptViewer` component that renders the transcript content if available. It also adds logic to fetch and store transcript content from the provided URL during session data refresh. The existing link-based transcript view is now used as a fallback when only the transcript URL is available. It also fixes an issue where session ID was not properly displayed.
Improves the dashboard with additional metrics and visualizations
to provide a more comprehensive overview of application usage and performance.
Adds new charts, including:
- Word cloud for category analysis
- Geographic map for user distribution (simulated data)
- Response time distribution chart
Refactors existing components for improved clarity and reusability,
including the introduction of a generic `MetricCard` component.
Improves error handling and user feedback during data refresh and
session loading.
Adds recommended VSCode extensions for ESLint and Prettier.
