`create_custom_template` is not using `dao_create_template` since
it explicitly sets a template id. Notifications.template relationship
now refers to a TemplateHistory objects, so we need to make sure that
`create_custom_template` creates a matching TemplateHistory record
when it creates a Template.
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
- Some tests for failing because of an import which was overriding the
one above it in test_scheduled_tasks.py
- Import error fixed in test_services_dao.py after a rename of a 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
- 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.
- Added code in `delete_notifications_created_more_than_a_week_ago_by_type` to remove notifications to email_reply_to older than 7 days
- Added transactional to `delete_notifications_created_more_than_a_week_ago_by_type`
Removed the tests for trial mode service for the scheduled tasks and the process job.
Having the validation in the POST notification and create job endpoint is enough.
Updated the test_service_whitelist test because the order of the array is not gaurenteed.
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
1. For both email and sms, store [] in monthly_totals if
there is no billing data (no notifications sent etc.) and
return this via the API
2. General refactoring of indentation
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.
