tutor-contrib-progress 21.0.0

progress plugin for Tutor

Progress plugin for Tutor

Progress plugin for Tutor.

This plugin installs aulasneo/openedx-progress into the Open edX image. See the openedx-progress README for more details about the Open edX Django app, its models, and management commands.

Installation

pip install git+https://github.com/aulasneo/tutor-contrib-progress

Usage

Enable the plugin:

tutor plugins enable progress

After enabling the plugin, rebuild the Open edX image:

tutor images build openedx

If you use a private registry, push the rebuilt image:

tutor images push openedx

Restart containers for local deployments:

tutor local restart

Restart pods for Kubernetes deployments:

tutor k8s start

Then run the init command:

tutor {local|k8s} do init --limit progress

This plugin adds the following manual job:

tutor {local|k8s} do backfill-course-completion-summaries

Useful options:

• --course-id course-v1:edX+DemoX+Demo_Course limit to a course id.
• --user-id 123 can be repeated to process specific learners.
• --batch-size 500 controls database iteration batches.
• --sleep 0.5 pauses between batches.
• --dry-run selects learners without writing rows.
• --force recomputes rows that already exist.

For Kubernetes users, this plugin sets up a CronJob to process dirty course completion summaries every hour at a randomized minute.

For local users, set a cronjob to run tutor local exec lms ./manage.py lms process_dirty_course_completion_summaries periodically.

Configuration

Note: Only relevant for K8s deployments.

• PROGRESS_COMPLETION_SUMMARIES_SCHEDULE: Set the schedule for processing dirty course completion summaries. Default is "<random-minute> * * * *" (every hour, with a randomized minute).

License

This software is licensed under the terms of the AGPLv3.

Disclaimer

Part of this code was developed with the aid of AI tools.