no issue
Before, when base data included labels for members, the random generated labels would also be generated. This prevents that, and ensures that the base-data labels are applied correctly to members.
no issue
Previously the number of opened emails was being generated incorrectly as the number of delivered emails was being reported too high.
Also, the faker date function occasionally fails for dates which are
too close together so this switches to manually generating a date
between the two.
no issue
This should massively increase the speed of importing for the large dataset, which is important as the time to import it on Pro is >10 minutes at the moment
refs https://github.com/TryGhost/Team/issues/2534
As we're using soft deletes for mentions we need to store the `deleted` column
as well as enforce a `'deleted:false'` filter on the bookshelf model.
We've also implemented the handling for deleting mentions. Where we remove a
mention anytime we receive and update from or to a page which no longer exists.
Co-authored-by: Steve Larson <9larsons@gmail.com>
no issue
Free and premium newsletters were the other way around in the demo-data. This was a good opportunity to stop the email table importer from relying on the newsletter name, and use the order alone.
- clear the settings table down before importing
- maybe we don't need to splat them all... but for now this makes importing work on top of a freshly provisioned DB
- this takes a while, but it was hard to tell what the script was doing and if I should still wait
- tried to make it a little clearer, and have a green message at the end
refs: https://github.com/TryGhost/Toolbox/issues/440
New command to generate demo data, creates data for over 20 tables in
Ghost, suitable for testing most features of the dashboard, as well as
making guided product tours using newsletters, tiers, many posts and
tags.
Usage: `yarn start generate-data`
Optionally, keep your existing posts / tags with: `yarn start generate-data --use-existing-tags --use-existing-posts`