PEP8 was renamed to pycodestyle; this issue explains why:
https://github.com/PyCQA/pycodestyle/issues/466
This commit changes our tests to use pycodestyle instead of pep8.
It also means:
- making a couple of whitespace changes to appease the linter
- disabling warnings for bare `Except`s (ie `Except` instead of `Except
ValueError`) – this seems like a sensible thing to catch but I’m not
going to make meaningful code changes in this commit
This endpoint will eventualy replace the weekly breakdown one. By month
for a given financial year is better, because it gives us consistency
with the breakdown of financial usage (and eventually consistency with
the template usage).
The code to do this is a bit convoluted, in order to fill out the counts
for months and statuses where we don’t have notifications.
This will make the admin side of this easier, because we can rely on
there always being numbers available. The admin side will deal with
summing the statuses (eg `temporary-failure` > `failed`) because this
is presentational.
This commit also modifies the usage count to use `.between()` for
consistency.
- Renaming /service/<id>/deactivate to /service/<id>/archive to match language on the UI.
- Will need to update admin before deleting the deactive service method
- Created dao and endpoint methods to suspend and resume a service.
- I confirm the use of suspend and resume with a couple people on the team, seems to be the right choice.
The idea is that if you archive a service there is no coming back from that.
To suspend a service is marking it as inactive and revoking the api keys. To resume a service is to mark the service as active, the service will need to create new API keys.
It makes sense that if a service is under threat that the API keys should be renewed.
The next PR will update the code to check that the service is active before sending the request or allowing any actions by the service.
We already filter the usage-by-month query by financial year. When we
show the total usage for a service, we should be able to filter this
by financial year.
Then, when the two lots of data are put side by side, it all adds up.
This PR changes the response to POST /notifications/sms/<mmg | firetext> from a 400 response to a 200 response.
If we get a callback for a notification more than once or for a notification we log that but we return a 200 success response to the provider.
We have found that there is a situation where the send to provider throws a timeout exception but the provider did get the message, but we still send it to them again.
In which case they send the message twice, and callback for the message twice.
Another case where we may get duplicate callbacks is that the network gave the provider two callbacks meaning they pass those two callbacks onto us.
So it is really difficult to know if we sent to the provider twice or just got two callbacks.
The test_callback has many changes because I took the opportunity to use the client conftest fixture rather than the notify_api fixture.
The only 2 tests really changed are test_mmg_callback_returns_200_when_notification_id_not_found_or_already_updated and test_firetext_callback_returns_200_when_notification_id_not_found_or_already_updated
Previously research mode created a task to fake the callback from the providers. This meant there is an extra task for each notification than would be generated in a live situation.
This PR changes that, so that a research mode/test key notification calls the callback API rather than make a task to do that .
This ensures that the flow for research mode more closely mimics that of live, and removes a task from the process so we can more accurately test throughput,
the `to` field stores either the phone number or the email address
of the recipient - it's a bit more complicated for letters, since
there are address lines 1 through 6, and a postcode. In utils, they're
stored alongside the personalisation, and we have to ensure that when
we persist to the database we keep as much parity with utils to make
our work easier. Aside from sending, the `to` field is also used to
show recipients on the front end report pages - we've decided that the
best thing to store here is address_line_1 - which is probably going to
be either a person's name, company name, or PO box number
Also, a lot of tests and test cleanup - I added create_template and
create_notification functions in db.py, so if you're creating new
fixtures you can use these functions, and you won't need to pass
notify_db and notify_db_session around, huzzah!
also removed create param from sample_notification since it's not used
anywhere
it's almost entirely duplicated so share it across.
also clean up retrying - `task.retry(...)` raises a
celery.exceptions.Retry object, so you do not need to `raise` its
response. additionally, cleaned up tests around that since raising
Exception and asserting Exception is raised is dangerous as it could
mask actual programming errors
