Add Kolibri-usage filters and CSV export to admin Users page#5922
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marcellamaki merged 1 commit intoMay 27, 2026
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Adds four new filters to the admin Users page based on signals of likely Kolibri usage (Slack conversation with Laura): published a channel, made Studio edits, joined recently, active recently. Adds a Download CSV action that streams the filtered user list as CSV, including registration information (locations, storage needed, source). Backend filters share Exists() expressions between AdminUserFilter and the CSV action's annotate() call. The CSV endpoint uses AdminUserCSVFilter (a RequiredFilterSet subclass) so unfiltered exports return 412. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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marcellamaki
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May 27, 2026
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All workflows described confirmed in manual testing. Code review looks good.
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Implemented as specified, have filed a follow-up for some minor issues: #5946 |
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Summary
Adds a Download CSV action on the admin Users page so Laura can pull user emails for outreach. Adds four filters for likely-Kolibri-usage signals: published a channel, made Studio edits, joined recently, active recently. CSV includes email, basic activity, and registration info (locations, storage needed, source).
References
Slack thread with Laura on Studio activity signals that correlate with Kolibri usage.
Reviewer guidance
How to test:
/administration/users: toggle the new filters and confirm counts narrow (they AND with the existing filters).studio_users_<YYYY-MM-DD>.csv. Verify Locations / Heard from / Yes-No columns.Worth a closer look:
viewsets/user.py—AdminUserCSVFilter(AdminUserFilter, RequiredFilterSet)MRO; required-filter enforcement comes fromRequiredFiltersFilterBackendrecognisingdetail=False.AI usage
Used Claude Code (Superpowers) to brainstorm the design and implement the changes. The spec, plan, and code were reviewed at each step; backend + frontend tests, a load test at 30k users / 17k channels, and a manual browser smoke-test all pass.