The standard way that we indicate that there are more results than can
be returned is by paginating. So even though we don’t intend to paginate
the search results in the admin app, it can still use the presence or
absence of a ‘next’ link to determine whether or not to show a message
about only showing the first 50 results.
The '/service/monthly-data-by-service` endpoint which is used for the
'Monthly notification statuses for live services' Platform Admin report
did not including `pending` notifications. This updates the DAO function
that the endpoint calls to group `pending` and `sending` notifications together.
We were doing this temporarily while the `normalised_to` field was not
populated for letters. Once we have a week of data in the
`normalised_to` field we can stop looking in the `to` field. This should
improve performance because:
- it’s one `WHERE` clause not two
- we had to do `ilike` on the `to` field, because we don’t lowercase its
contents – even if the two where clauses are somehow paralleized it’s
is slower than a `like` comparison, which is case-sensitive
Depends on:
- [ ] Tuesday 5 May (7 full days after deploying https://github.com/alphagov/notifications-api/pull/2814)
Like we have search by email address or phone number, finding an
individual letter is a common task. At the moment users are having to
click through pages and pages of letters to find the one they’re looking
for.
We have to search in the `to` and `normalised_to` fields for now because
we’re not populating the `normalised_to` column for letters at the
moment.
* it doesn't delete service email reply to or letter contacts, or
contact lists. I don't think the contact lists will ever be an issue
but it doesn't hurt to add it to the list of things to remove.
* it doesn't remove users from organisations before deleting the users
there may be more tables that link to Service that should be deleted,
but for now just add these ones that I could spot.
It is possible a service has data rention that is smaller than the time it takes to get a delivery receipt.
This PR refactors process_ses_receipt to update NotificationHistory if the Notifcation has already been purged.
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.
- fix test name
- make query filter consistent with each other
- add comment for clarity
- add inner loop to continue to insert and delete notifications while the delete count is greater than 0
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.
Need to test the performance of this function, then we can call it from the task.
- Create a temporary table to insert ids of the desired rows, limit by 10K (might be too low).
- Insert into NotifcationHistory select from notification where id in temp table
- Delete from Notifications where id in temp table
- drop temp table
We should be able to iterate of this. The query stats for the query to create the temp table are very good, 17ms.
- 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.
Currently the dashboard in the admin app pull the entire returned letter
summary for a service to calculate how many letters have been returned
in the last seven days.
Adding a separate endpoint for this purpose is better because:
- it’s a more efficient query
- it’s less data to send down the pipe
- it gives us a place to return the complete datetime, so the dashboard
can be more precise about when the most recent report was
If your caseworking system always spits out files with the same name it
will be hard to differentiate them when looking at the uploads page.
Seeing who the letter was sent to will help you differentiate them.
We can’t do this until the API returns the recipient.
This will switch on this feature for new services.
After this we will:
- give existing services this permission with a database migration
- remove this permission from the codebase entirely so that everyone has
this feature and can’t switch it off
the queries all return lots of columns, but each query has columns it
doesn't care about. eg emails don't have billable units or international
flag, letters don't have international flag, sms don't have a page count
etc. additionally, the query was grouping on things that never change,
like service id and notification type.
by making all of these literals (as in `select 1 as foo`) we see times
that are over 50% quicker for gov.uk email service.
Note: One of the tests changed because previously it involved emails and
sms with statuses that they could never be (eg returned-letter)
The date in the notifications table should always be the most recent date for the template.
Removed the template_type param for the query as well.
Simplified the tests.
The existing endpoint returned a whole notification for the last time the template was used. But this only takes into account data in the last week. This new methods allows us to be specific about when the template was last used if ever but looking into the ft_notification_status table as well.
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.
- Do not show "hidden" or precompiled templates, users don't know about them.
- Remove the client reference if it is the file name of an uploaded file.
- Format the date for created_at
- Added a test for all the different types of letters.
1) One off templated letter
2) Letter created by a csv upload or job.
3) Uploaded letter
4) Templated letter sent by the API
5) Precompiled letter sent by the API
For notification and notification_history we do an upsert. Here, as the
inbound_sms table is never updated, only inserted to once (signified by
lack of updated_at field), an upsert would be unnecessary.
Therefore, if for some reason the delete statement failed as part of
moving data into the inbound_sms_history table, we can simply just
ignore any db conflicts raised by a rerun of
`delete_inbound_sms_older_than_retention`.
- Check if right keys in new history rows
- Improve model and get rid of old revision version
- Add updated migration file
- Test data when inserting into inbound sms history
