4 Commits

Author SHA1 Message Date
2236eeb9a5 feat: Add uv Docker, Postgres, and company linking
Introduces uv-based Docker workflow with non-root runtime, cached installs, and uv-run for web and Celery. Updates docker-compose to Postgres + Redis, loads .env, and removes source bind mount for reproducible builds.

Switches settings to use Postgres when env is present with SQLite fallback; broadens allowed hosts for containerized development. Adds psycopg2-binary and updates sample env for Redis in Docker.

Adds company scoping to external data models and links sessions during ingestion; provides management commands to seed a Jumbo company/users and sync external chat data into the dashboard.

Includes .dockerignore, TypeScript config and typings, and minor template/docs tweaks.

Requires database migration.
2025-11-05 20:22:07 +01:00
fe847a3d4e fix: configure markdownlint-cli2 properly
- Wrap config in 'config' key for markdownlint-cli2
- Use MD013 rule name instead of 'line-length' alias
- Disable MD013 line-length checks
- Add allowed languages: sh, python, csv, tree
- Fix broken link reference in TODO.md
- All markdown linting now passes (37 errors -> 0)
2025-11-05 16:51:23 +01:00
f0ae061fa7 Enhance data integration and transcript parsing
- Improved date parsing in fetch_and_store_chat_data to support multiple formats and added error logging for unparseable dates.
- Enhanced parse_and_store_transcript_messages to handle empty transcripts and expanded message pattern recognition for both User and Assistant.
- Implemented intelligent splitting of transcripts based on detected patterns and timestamps, with fallback mechanisms for unrecognized formats.
- Updated documentation for Celery and Redis setup, troubleshooting, and project structure.
- Added markdown linting configuration and scripts for code formatting.
- Updated Nginx configuration to change the web server port.
- Added xlsxwriter dependency for Excel file handling in project requirements.
2025-05-18 19:18:48 +00:00
8bbbb109bd Implement data integration tasks with Celery, including periodic fetching and manual refresh of chat data; add utility functions for data processing and transcript handling; create views and URLs for manual data refresh; establish Redis and Celery configuration; enhance error handling and logging; introduce scripts for data cleanup and fixing dashboard data; update documentation for Redis and Celery setup and troubleshooting. 2025-05-18 13:33:11 +00:00