If passing in `redact_personalisation` to the template update endpoint,
we should mark that template permanently as redacted - this means that
we won't ever return the personalisation for any notifications for it.
This is to be used with templates containing one time passwords, 2FA
codes or other sensitive information that you may not want service
workers to be able to see.
This is implemented via a separate table, `template_redacted`, which
just contains when the template was redacted.
If the service has not set the url then nothing happens.
If the request to the service url returns with 500 or greater the task is retries.
The task is created when the SMS provider post the inbound SMS.
* Alter config so an error will be raised if you forget to mock out a
celery call in one of your tests
* Remove an unneeded exception type that was masking errors
currently, they're made by creating a one-line job, but we want to
reduce task/csv file noise so we're moving them to persist in the
same vein as API usage. However, we can't just call through to that
since there are some differences:
* no api keys
* tighter control over API format
* no scheduling
* no client references
etc.
So, re-using as much of the v2 validation stuff as possible, I've
created this file that just does basic validation, and then calls
through to persist_notification and schedules a task. Woo.
Including:
- url to push the inbound sms to
- bearer_token to be added to the header of the request.
The services will be expected to manage these properties.
The structure has been flattened, so I need to create a new endpoint, start using that endpoint, then change the name back.
Added template_id and version to the get job stats by id.
This is because 7days should be the amount of data in that table so don't restrict.
Note not all queries do this in the same way and a pivotal bug has been raised to align this. This is a bug fix as right now the numbers are out in prod.
A job only ever has one notification type.
This is the first deploy, where the columns are added and populated.
Next a data migration will happen to populate these new columns for the older jobs that do not have the values set.
Then we stop populating the old columns and remove them.
This refactoring of the table structure will make the queries to the table much easier to handle.
