So we keep a record of who first uploaded a list it’s better to archive
a list than completely delete it.
The list in the database doesn’t contain any recipient info so this
isn’t a change to what data we’re retaining.
This means updating the endpoints that get contact lists to exclude ones
that are archived.
This was one of things we de-scoped when we first shipped this feature.
In order to safely delete a list, we first need to make sure any jobs
aren’t referencing it.
The insert_notification_history_delete_notifications function uses a temp table to store the data to insert and delete. This will save extra queries while performing the insert and delete operations.
The function is written in such a way that if the task is stop while processing when it's started up again it will just pick up where it left off.
I've made a decision to delete all test data in one query, I don't anticipate a problem with that.
The performance of this might also be better than last nights test because we are inserting everything we need for the NotificationHistory insert, so we don't need the join to Notifications to perform the insert.
- Table to store meta data for the emergency contact list for a service.
- Endpoint for fetching contact lists for service
- Endpoint for saving contact list for service.
The list will be stored in S3. The service will then be able to send emergency announcements to staff.
and update it when users have to use their email to interact with
Notify service.
Initial population:
If user has email_auth, set last_validated_at to logged_in_at.
If user has sms_auth, set it to created_at.
Then:
Update email_access_valdiated_at date when:
- user with email_auth logs in
- new user is created
- user resets password when logged out, meaning we send them an
email with a link they have to click to reset their password.
Sometimes a job finishes but has missed a row in the middle. It is a mystery why this is happening, it could be that the task to save the notifications has been dropped.
So until we solve the missing let's find missing rows and process them.
A new scheduled task has been added to find any "finished" jobs that do not have enough notifications created. If there are missing notifications the job processes those rows for the job.
Adding the new task to beat schedule will be done in the next commit.
A unique key constraint has been added to Notifications to ensure that the row is not added twice. Any index or constraint can affect performance, but this unique constraint should not affect it enough for us to notice.
At the moment this response returns a list of service IDs for hundreds
of organisations.
The admin app doesn’t use this information, but having to wait for it to
be serialized and sent across the network slows it down all the same.
re-order notification dao delete notifications test to move "fixtures"
to the top of the file
changed create_service_data_retention to take an ORM object, not an id.
brings it in line with other db.py test functions
This relationship is via the `Organisation` now; we don’t use this
column to fudge a relationship based on the user’s email address and the
matching something in these columns.
code inspired by the delete notification code, but with some clean up
since we don't deal with different types etc, and only need to run the
query for services with inbound numbers
also, update tests.app.db.create_inbound_sms to create inbound numbers
and assign them to services to ensure the test db is always accurate
and reflects real world usage
However, until we can create a letter without a logo, we will still default to hm-government, because the dvla_organisation is set on the service.
This does simplify the code.
Also removed the inserts to letter_branding in the data migration file, because we can deploy this before the rest of the work is finished. But we will need to do it later.
