Internal statistic for users performing actions

[pylipp]

https://trello.com/c/tFEC1P7V

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 74.24%. Comparing base (a9ab13d) to head (06fe183).
⚠️ Report is 1 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2919      +/-   ##
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+ Coverage   74.23%   74.24%   +0.01%     
==========================================
  Files         332      332              
  Lines       25447    25459      +12     
  Branches     2535     2537       +2     
==========================================
+ Hits        18890    18902      +12     
  Misses       6507     6507              
  Partials       50       50              

Flag	Coverage Δ
backend	99.65% <ø> (+<0.01%)	⬆️

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[Copilot]

Copilot review overview

🟡 Changes recommended

Missing organisation data can crash the cron, and the new metric repeatedly scans an unindexed history range.

Review effort: Balanced
Findings: 1 · 1

Open (2)

• Skip user counts for missing organisations · New
• Add index for changedate-based history range scans · New

What changed in this PR

Adds internal statistics distinguishing logged-in users from users performing recorded actions.

Changes:

• Renames the Auth0-based metric to “logged-in users.”
• Adds a history-based “active users” metric.
• Updates cron output and tests for seven statistics.

File	Description
back/​boxtribute_server/​business_logic/​metrics/​crud.py	Implements logged-in and active-user metrics.
back/​boxtribute_server/​cron/​internal_stats.py	Publishes both metrics.
back/​test/​endpoint_tests/​test_metrics.py	Tests metric calculations.
back/​test/​endpoint_tests/​test_cron.py	Updates cron expectations.
back/​test/​auth0_integration_tests/​test_operations.py	Updates Auth0 integration coverage.

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[Copilot]

Copilot review overview

🟡 Changes recommended

Normalize Auth0 login timestamps and correct or omit historical login-window comparisons.

Review effort: Lite
Findings: 1 · 1

Open (2)

• Parse Auth0 login timestamps before datetime comparisons · New
• Add index for changedate-based history range scans

Resolved since last review (1)

• Skip user counts for missing organisations

Previously missed (1)

In code that hasn't changed since last review

Latest login cannot reconstruct historical comparison windows

back/​boxtribute_server/​business_logic/​metrics/​crud.py:394

last_login is Auth0's current/latest login, so it cannot reconstruct an earlier window once the user logs in again. get_internal_data() passes the same users to compute_with_trend for both the current and prior windows, which moves such users out of the comparison period and makes the logged-in trend and historical column values inaccurate. Please fetch login events/history per window, or omit/mark the historical comparison for this metric until that data is available.