- Also convert the files info to upper() for comparison rather than lower
because original file names are in upper case. The unit tests contain examples of the returned lists.
Since preview and staging environments don't have a full DVLA
integration they're likely to contain letter notifications in
a 'sending' state. To avoid spamming Deskpro we skip the check
unless we're in a production or test environment.
We should receive a response file from DVLA by 4pm the next working
day (next Monday for letters created on Friday, Saturday or Sunday).
Response file triggers a task to update the letters status from
'sending' to either 'failed' or 'delivered', at which point there
should be no letter notifications in the 'sending' state for that day.
To catch any errors in the process (eg a missing response file from
DVLA) we add a scheduled task that checks letter notifications for
previous day (or Friday when run on Monday) and raises a Deskpro
ticket if it finds any in a 'sending' state. We're checking letter
notifications based on the `sent_at` date, which is set when the
letter PDF is sent to DVLA (so for letters created after 5:30pm it
will be the next day).
The task runs at 4:30pm, which should give the response file processing
task enough time to finish if the file was uploaded at 4pm.
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
Currently some pages are timing out due to the time it takes to perform
database queries. This is an attempt to improve the performance by
performing the query against the notification history table once a day
and use the notification table for a delta between midnight and the when
the page is run and combine the results.
- Added Celery task for doing the work
- Added a dao to handle the insert and update of the stats table
- Updated tests to test the new functionality
Comments are PR review. Updated code style in a few places to make it
more consistent with other code, added tests for letters and emails
so they are testedt, refactored some database queries to dao file
- Fixed code style
- Refactored database queries to dao code
- Added tests for emails and sms.
- Moved the process_incomplete_jobs to tasks.py
- Moved the process_incomplete_jobs test to test_tasks.py
- Cleaned up imports and other code style issues.
As the new tasks is not a scheduled one, moved the the tasks.py file.
This makes it more consisted with other tasks. Updated a few code style
issues to make it more consistent with other coe and hence more
maintainable in future.
- Added a new task to process incomplete jobs
- Added tests to test the new method
- Updated the check for incomplete jobs method to start the new task
This will effectively resume tasks which for some reason were interrupted
whilst they were being processed. In some cases only some of the csv
was processed, this will find the place in the csv and continue processing
from that point.
we now no longer create a job. At the end of the post there is no
action, as we don't have any tasks to queue immediately - if it's a
real notification it'll get picked up in the evening scheduled task.
If it's a test notification, we create it with an initial status of
sending so that we can be sure it'll never get picked up - and then we
trigger the update-letter-notifications-to-sent-to-dvla task to sent
the sent-at/by.
this means that if the task is accidentally ran twice (eg we autoscale
notify-celery-worker-beat to 2), it won't send letters twice.
Additionally, update some function names and config variables to make
it clear that they are referring to letter jobs, rather than all letter
content
specifically, all of the performance platform specific data layout now
happens in performance_platform_client.py - stuff like setting the
_timestamp, period etc, and the perf platform-specific nomenclature is
all handled there.
so that it doesn't appear generic when it's actually specific to
sending the daily notification totals. To do this, split it out into a
separate performance_platform directory, containing the business logic,
and make the performance_platform_client incredibly thin - all it
handles is adding ids to payloads, and sending stats.
Also, some changes to the config (not all done yet) since there is one
token per endpoint, not one for the whole platform as we'd previously
coded
- Created TaskNames for DVLA_FILES rather than have DVLA_FILES in QueueNames
- Removed PROCESS_FTP from all_queues() as this was causing problems in picking up letter job tasks
- Created test to ensure that we don't arbitrarily add queue names to all_queues
When populating the monthly billing records on a schedule, we need
to ensure the correct month is being updated.
As an example, if the current datetime is 31 Mar 2016, 23:00. The
BST equivalent is the 1st April. Therefore we need to ensure we
update billing for April, not March. This takes care of that.
- The new task has not been added to the beat application yet.
- Added an updated_at column to the monthly billing table, we may want to only calculate from the last updated date rather than the entire month.
