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.
Before the search term was either:
- an email address (or partial email address)
- a phone number (or partial phone number)
Now it can also be:
- a reference (or partial reference)
We can take a pretty good guess, by looking at the search term, whether
the thing the user is searching by email address or phone number. This
helps us:
- only show relevant notifications
- normalise the search term to give the best chance of matching what we
store in the `normalised_to` field
However we can’t look at a search term and guess whether it’s a
reference, because a reference could take any format. Therefore if the
user hasn’t told us what kind of thing their search term is, we should
stop trying to guess.
We have a team who want to find emails that might have been sent to an
incorrect address. Therefore they can’t search by the correct address,
because it won’t match.
What they do have is the reference number of the user’s application,
which is also stored in the `client_reference` field on the
notification.
So when a user is searching we should also look at the client reference,
as well as the recipient, allowing the user to enter either in the
search box.
The nightly job to delete email notifications was failing because it was
timing out (`psycopg2.errors.QueryCanceled: canceling statement due to statement timeout`).
This adds a query limit to the query which inserts or updates
notification history so that it only updates a maximum of 10000 rows at
a time.
All our endpoint should perform a check that the params are valid - this is an easy whay to check that and is standard for our endpoints.
I reverted the query to just filter by job id.
Now we consistently use the created_at date, so we can always get the right file location and name.
The previous updates to this code were trying to solve the problem if a pdf being created at 17:29, but not ready to upload until 17:31 after the antivirus and validation check.
But in those cases we would have trouble finding the file.
When we cancel a job, we need to check if all notifications are
already in the database. So far, we were querying for all
notification objects in the database and counting them in
admin app, which runs into pagination problems for large jobs,
and could time out for very large jobs.
* remove unnecessary parametrisation where we're not testing
type-specific things
* remove some unused fixtures
* replace len(x.all()) with x.count()
* don't deleted notificationhistory now that we know it's not written
* remove some pre-test function asserts
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
Update subquery to run again but for test keys. Test data is never inserted in Notifications so they need to be deleted separately now given the join to NotificationHistory.
This PR adds a function to upsert (insert or update if exists) NotificationHistory all the rows from Notification that we are about to delete in the nightly task. This will happen just before the delete function. Since it is a upsert query the function can be called more than once.
This should allow us remove all the insert/updates to NotificationHistory.
However, there is a consern that this will double the length of time the tasks take. So do we do these upserts in a separate task or in the same one?
Currently we switch if:
* status = delivered and updated_at - sent_at > threshold
* status = sending and now - sent_at > threshold
firetext can leave notifications in the pending state, which is
equivalent to sending in terms of how we should handle it, so this
commit changes the second case to allow pending as well as sending.
Flask-SQLAlchemy paginate function issues a separate query to get
the total count of rows for a given filter. This query (with
filters used by the API integration Message log page) is slow for
services with large number of notifications.
Since Message log page doesn't actually allow users to paginate
through the response (it only shows the last 50 messages) we can
use limit instead of paginate, which requires passing in another
flag from admin to the dao method.
`count` flag has been added to `paginate` in March 2018, however
there was no release of flask-sqlalchemy since then, so we need
to pull the dev version of the package from Github.
The delivery for provider is slow if more than threshold (currently
we pass in threshold 10%) either took x (for now 4) minutes to deliver,
or are still sending after that time. We look at all notifications
for current provider which are delivered or sending, and are not under
test key, for the last 10 minutes.
We are using created_at to establish if notifications are from last
10 minutes because we have an index on it, so the query is faster.
Also write tests for new is_delivery_slow_for_provider query
It can be useful to get a notification by id while checking that the
notification belongs to a given service. This changes the
get_notification_by_id DAO function to optionally also filter by
service_id so that we can check this.
- Updated notifications_dao.update_notification_status_by_id with an optional parameter to set the sent_by, this will eliminate a separate update to notifcaitons.
- Added the callback url to the log message, that way we can see if it's the same url failing.
- Stop sending the status callbacks for PENDING status.
There was a datetime bug in the query which resulted in files not being sent to the postal provider.
The trigger-letter-pdfs-for-day task is no longer needed, so rather than fix the query just call collate_letter_pdfs_for_day directly.
Less code is always better.
Deployment considerations: I realized this is strictly not backwards compatible if the scheduled job is in progress and a task is on the queue that no longer exists. This is ok since we will deploy this well before 17:50.
For returned letter updates most notifications won't exist in the
notifications table, so in order to find out whether the reference
matches any known letters we need to check the count of updated
history records.
We need to update letter notifications with a new status when DVLA
gives us a list of references for returned letters.
This adds the new status to the models and the DB.
DVLA call this 'returned mail', so I'm using it as the status name
since it seems less ambiguous than 'returned'.
If there are no files to delete we won't get an excpetion.
Wrap the delete file in a try/except to avoid stopping the entire task.
Fix the missing slash for the file name.
