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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.

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Kaj Kowalski
2025-05-18 13:33:11 +00:00
parent e8f2d2adc2
commit 8bbbb109bd
63 changed files with 4601 additions and 164 deletions
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server: cd dashboard_project && CELERY_BROKER_URL=redis://localhost:6379/0 CELERY_RESULT_BACKEND=redis://localhost:6379/0 UV_LINK_MODE=copy uv run python manage.py runserver 8001
celery: cd dashboard_project && CELERY_BROKER_URL=redis://localhost:6379/0 CELERY_RESULT_BACKEND=redis://localhost:6379/0 UV_LINK_MODE=copy uv run celery -A dashboard_project worker --loglevel=info
celery-beat: cd dashboard_project && CELERY_BROKER_URL=redis://localhost:6379/0 CELERY_RESULT_BACKEND=redis://localhost:6379/0 UV_LINK_MODE=copy uv run celery -A dashboard_project beat --scheduler django_celery_beat.schedulers:DatabaseScheduler