this means if we end up with some notifications sending and others not,
due to problems with the ftp connectivity for example, we don't re-send
those that worked.
As a reminder, letter pdf notifications start as created and stay that
way until we have sent the zip file to DVLA, at which point they are
updated to sending
#
Grouping the letters into a maximum number of files is necessary because
the SQS task needs to be under a certain size. We also compress the task
when sending.
add collate-letter-pdfs task (name pending). This retrieves a list of
letter pdf files (just the metadata, not the actual data) from s3, and
loops through them, calling the ftp task zip-and-send-letter-pdfs. It
groups them up by adding them to lists while counting the total
filesize, if it gets over a certain filesize (currently set to 500mb)
it breaks at that chunk, sends off that list of files to the ftp app,
and then starts building up a new list.
DVLA have a hard 2gb limit on how big the zip files we can send is -
however we're going to be limited by the amount of memory on the ftp
app well before we get around to handling 2gb of pdf data - so the
limit is 500mb for now. We'll adjust it after we see how ftp performs.
- Introduce a `_raise` flag for `get_notification_by_id` so that sql alchemy will raise the NoResults error rather than the app
- Refactor `dao_set_created_live_letter_api_notifications_to_pending` to use a join for getting services that don't have `letters_as_pdf` as marginally faster.
- Added has_permission helper in models.py to check permission in service
- Moved letters pdf tasks to separate file
- Moved letters pdf tests to own file
- check if service_callback_api exist before putting tasks on queue
- create_service_callback_api in tests before asserting if send_delivery_status_to_service has been called.
this reduces the amount of error messages we log (we'll no longer log
at error level when build-dvla-file-for-job retries while waiting for
the task to finish), and make sure we retry in those cases above - db
or s3 having temporary troubl
This causes an issue when it hits the max retry limit, and tries to
throw your exception to let you deal with it - at this point it was
moaning because we pass in a string
if it's not defined, and we're inside an exception block celery uses
that instead.
this involved:
* moving that task to callback_tasks to prevent circular imports
* updating the dummy research mode callbacks (with actual SNS messages from the
ses simulator emails)
* refactoring tests
Added a new endpoint which combines the usage of the stats table and the
data from the notifications tables, instead of using all the data from
the notification_history table. This should speed up the query times
and improve the page performance.
- Updated to make the stats create and update function transactional as
it actually wasn't committing the data to the table
- Added the get from the stats table
- Add a a method to combine the two results
- Added the endpoint
There are some Null template_ids in the production database which was
causing a failure as the stats_template_usage_by_month has a constraint
that it should not be null. This update only adds populated template_ids
- Updated Celery task
- Add a new test to test for null template_ids and not try to add them
to the stats
- Modified the services_dao to return an int instead of a datetime to
make usage easier and removed the BST function on year as it is not
relevant for year
- Improved tests do there is less logic by ordering the result so there
is less reliance on the template id
- Renamed variable in stats_template_usage_by_month_dao.py to make it
consistent with the method
