us not recognising a code or provider not having sent the detailed
status.
It seems like Firetext is sometimes sending us permanent-failure
without detailed status. It could be due to:
- them really not sending any detailed status
- them sending a status code we don't recognise
- them sending 000 code that means 'no errors', which we ignore
To see which one it is, and to debug such issues quicker in the
future, this PR adds status and detailed status codes to the logs.
Also log detailed delivery status for firetext in the same place in addition
to it being logged from notifications_dao.
Logging detailed delivery statuses will help us see why messages
fail to deliver. In the future we could persist detailed delivery
status in the database.
If a service has permission to send international letters then it should
tell template preview, so that template preview knows what rule to
apply when it’s validating the address of the letter.
Depends on:
- [ ] https://github.com/alphagov/notifications-template-preview/pull/445
We've seen only some of these reporting tasks happen but with no log
messages to indicate what happened and no app crashes. This hopefully
will give us a better picture of a timeline.
Note, I've tried to make our message format very consistent and good for
searching for in kibana so I've changed that across this whole file for
consistency.
The reporting worker tasks fetch large amounts of data from the db, do
some processing then store back in the database. As the reporting worker
only processes the create nightly billing/stats table tasks, which
aren't high performance or high volume, we're fine with the performance
hit from restarting the worker between every task (which based on
limited local testing takes about a second or so).
This causes some real funky shit with the app_context (used for
accessing current_app.logger). To access flask's global state we use the
standard way of importing `from flask import current_app`. However,
processes after the first one don't have the current_app available on
shut down (they're fine during the actual task running), and are unable
to call `with current_app.app_context()` to create it. They _are_ able
to call `with app.app_context()` to create it, where `app` is the
initial app that we pass in to `NotifyCelery.init_app`.
NotifyCelery.init_app is only called once, in the master process - I
think the application state is then stored and passed to the celery
workers. But then it looks like the teardown might clear it, but it
never gets set up again for the new workers? Unsure.
To fix this, store a copy of the initial flask app on the NotifyCelery
object and then use that from within the shutdown signal logging
function.
Nothing's ever easy ¯\_(ツ)_/¯
create-letters-pdf-tasks is for contacting template preview.
letters-tasks is for doing other things around letters (including putting things on template preview queue)
At the moment we’re not consistent:
Precompiled (API and one-off):
`to` has the whole address
`normalised_to` has nothing
Templated (API, CSV and one off):
`to` has the first line of the address
`normalised_to` has nothing
This commit makes us consistently store the whole address in the `to`
field. We think that people might want to search by postcode, not just
first line of the address.
This commit also starts to populate the normalised_to field with the
address lowercased and with all spaces removed, to make it easier to
search on.
We don’t need to reformat the postcode here once template preview takes
care of it when rendering the PDF.
It’s better (and less code) to store what people give us, so we give
them back the same thing.
Based on this https://github.com/alphagov/notifications-api/pull/2788
where some concerns were raised. This should be a quicker fix to get our
the deletions to run sequentially for all the notification types. Note,
email is first as most important as makes up the larger numbers (we
wouldn't want it to start with SMS, fail half way for a reason that only
affects SMS and for that to affect the email deletion).
We hope that by running sequentially we will reduce conflicts writing to
the same index and this will speed up the total time it takes to finish
deleting all notification types older than their retention time. There
is a risk that whilst quicker per job, as they now run sequentially
rather than potentially overlapping, they will take longer overall. We
will need to monitor to see.
Text messages have placeholders in their body.
Emails have them in their subject line too.
Letters have them in their body, subject line and contact block.
We were only looking in the the body and subject when processing a job,
therefore the thing assembling the letter was not looking in all the
CSV columns it needed to, because it hadn’t been told about any
placeholders in the contact block.
Fixing this means always making sure we use the correct `Template`
instance for the type of template we’re dealing with. Which we were
already doing in a different part of the codebase. So it makes sense to
reuse that.
Turns out we fixed the same bug for email subjects over 3 years ago:
3ed97151ee
This has been replaced by a new task, `sanitise-letter`, to this deletes
all the code in the old task and ensures that when antivirus is not
enabled locally we are calling the new task.
Move finding of letter logic into a separate method so it can be unit
tested rather than having to test it by checking the contents of a
zendesk ticket api call.
This will enable us to change the zendesk api ticket call message
without needing to edit lots of tests.
This task didn't have retries before, based on the assumption that if
the task failed it was likely to be due to a Boto error, so retrying
would not help because a file was probably not in the expected bucket.
During an incident with the database, we had some letters that were
stuck in the `pending-virus-check` state because this task failed.
This change adds retries to the task if there was an Exception that was
not a `BotoClientError`.
It is possible a service has data rention that is smaller than the time it takes to get a delivery receipt.
This PR refactors process_ses_receipt to update NotificationHistory if the Notifcation has already been purged.
Instead of saving the email notification to the db add it to a queue to save later.
This is an attempt to alleviate pressure on the db from the api requests.
This initial PR is to trial it see if we see improvement in the api performance an a reduction in queue pool errors. If we are happy with this we could remove the hard coding of the service id.
In a nutshell:
- If POST /v2/notification/email is from our high volume service (hard coded for now) then create a notification to send to a queue to persist the notification to the db.
- create a save_api_email task to persist the notification
- return the notification
- New worker app to process the save_api_email tasks.
This runs on the new `sms-callbacks` queue. The function
`process_sms_client_response` has been replaced with a task called
`process_sms_client_response`. This involved some reorganisation of the
existing code and tests.
We are formatting the postcode here, because if we did it in template
preview, that could break flows like API and admin one-off, since
we are not validating postcode there yet, and format_postcode
needs a nice validated postcode.
We are not doing it in admin, as then we would have to either
rewrite the CSV file or pass data differently to API. First would
be nasty, second is a lot of overhead.
In the long run we might want to move postcode formatting to
template preview so that the postcode in letter preview looks the same
before and after user sends it, but now to get it out quickly it's better
to format the postcode here in the task.
Previously, when running the `collate_letter_pdfs_for_day` task, we
would only send letters that were created between 5:30pm yesterday and
5:30 today.
Now we send letters that were created before 5:30pm today and that are
still waiting to be sent. This will help us automatically attempt to
send letters that may have fallen through the gaps and not been sent the
previous day when they should have been.
Previously we solved the problem of letters that had fallen the gap by
having to run the task with a date parameter for example
`collate_letter_pdfs_for_day('2020-02-18'). We no longer need this date
parameter as we will always look back across previous days too for
letters that still need sending.
Note, we have to change from using the pagination `list_objects_v2` to
instead getting each individual notification from s3. We reduce load by
using `HEAD` rather than `GET` but this will still greatly increase the
number of API calls. We acknowledge there will be a small cost to this,
say 50p for 5000 letters and think this is tolerable. Boto3 also handles
retries itself so if when making one of the many HEAD requests, there is
a networking blip then it should be retried automatically for us.
