📊 Update Inactive Users Script + Visualization #1043
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We are now storing several stats like 'last_call_ts' and 'last_loc_ts' in the profile, and we have run a migration script to fill in these stats for all users Thus, this script does not need to make any timeseries queries; it just needs to retrieve the profiles. To support more detailed visualization of user activity, inactive.py now creates a JSON dump of the profiles, which can be read by plot_active.ipynb to visualize the number of inactive users as well as the trend and distribution of user activity Notebook outputs these charts: e-mission/e-mission-docs#1103 (comment)
JGreenlee
moved this from PRs for review by peers
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ignore test.nrel-op.json for run_on_all_deployments
update script to identify inactive users; add notebook for viz
We are now storing several stats like 'last_call_ts' and 'last_loc_ts' in the profile, and we have run a migration script to fill in these stats for all users
Thus, this script does not need to make any timeseries queries; it just needs to retrieve the profiles.
To support more detailed visualization of user activity, inactive.py now creates a JSON dump of the profiles, which can be read by plot_active.ipynb to visualize the number of inactive users as well as the trend and distribution of user activity
Notebook outputs these charts: e-mission/e-mission-docs#1103 (comment)