- Added MessageViewer component to display parsed messages in a chat-like format.
- Introduced new Message table in the database to store individual messages with timestamps, roles, and content.
- Updated Session model to include a relation to parsed messages.
- Created transcript parsing logic to convert raw transcripts into structured messages.
- Enhanced processing scheduler to handle sessions with parsed messages.
- Updated API endpoints to return parsed messages alongside session details.
- Added manual trigger commands for session refresh, transcript parsing, and processing.
- Improved user experience with color-coded message roles and timestamps in the UI.
- Documented the new scheduler workflow and transcript parsing implementation.
- 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.
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.
