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.
* Two separate jobs, one for sms&email and another for letter
* Change celery task for delete to accept template type filter
* General refacor of tests to make more readable
- previously this was unbounded, so it got all jobs older then 7 days. In excess of 75,000 🔥
- this meant that the job took (a) a long time and (b) a lot memory and (c) doing the same thing every day
These changes mean that the job has a 2 day eligible window for jobs, minimising the number of eligible jobs in a run, whilst still retaining some leeway in event if it failing one night.
In principle the job runs early morning on a given day. The previous 7 days are left along, and then the previous 2 days worth of files are deleted:
so:
runs on
31st
30,29,28,27,26,25,24 are ignored
23,22 jobs here have files deleted
21 and earlier are ignored.
