- Updated environment configuration to include Postgres database settings.
- Enhanced import processing to minimize field copying and rely on AI for analysis.
- Implemented detailed AI processing request tracking, including token usage and costs.
- Added new models for Question and SessionQuestion to manage user inquiries separately.
- Improved session processing scheduler with AI cost reporting functionality.
- Created a test script to validate the refactored pipeline and display processing statistics.
- Updated Prisma schema and migration files to reflect new database structure and relationships.
chore: add @vitest/coverage-v8 dependency to package.json
chore: update pnpm-lock.yaml with new dependencies and versions
test: enhance env.test.ts to validate environment variable handling and defaults
feat: enhance server initialization with environment validation and import processing scheduler
test: add Jest setup for unit tests and mock console methods
test: implement unit tests for environment management and validation
test: create unit tests for transcript fetcher functionality
- 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.
