* 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.
Added the option to filter by one_off messages to the DAO function
`get_notifications_for_service`. Previously, one-off notifications
were not returned - this has changed so that the default is for
one-off notifications to be returned. Also simplified the `include_jobs`
filter for this function.
The DAO function gets used in 3 places - for the V1 and V2 API endpoints,
which will now start to return one-off messages. It also gets used by
the admin app which needs to pass in `include_one_off=False` to the
`get_all_notifications_for_service` where we don't want one-off
notifications to show, such as the API message log page.
By adding the service id, the query performance has improved greatly. It went from 6200ms to 0.04ms.
This should stop the 500s when a template is deleted.
Test notifications are only stored in the notification table, not the
notification_history table. We were deciding which table to query for
the platform admin stats based on the start date passed to the DAO
function. This means that if the start date given was more than 7 days
ago and the end date was within the last 7 days, test notifications were
not being returned. We now use the end date to choose which table to
query which means that test notifications always get returned when they
should.
Created a platform-stats blueprint and moved the new platform stats
endpoint to the new blueprint (it was previously in the service
blueprint). Since the original platform stats route and the new platform
stats route are now in different blueprints, their view functions can
have the same name without any issues.
Moved the `fetch_new_aggregate_stats_by_date_range_for_all_services`
DAO function from the services DAO to the Notifications DAO since this
function queries the `notification` and `notification_history` tables.
Also added a test to check that the data returned from the function
takes BST into account.
The caseworking view is going to have a page which displays emails and
text messages combined together.
In order for the search to work on this page the user needs to be able
to search for an email or a text message. This commit makes it guess
what to search for when the `notification_type` isn’t known (basically
by saying ‘if the search term is only digits they’re probably looking
searching by phone number’).