Code that is within a `with Python.raises(...)` context manager but
comes after the line that raises the exception doesn't get evaluated.
We had some assertions that we never being tested because of this, so
this ensures that they will always get run and fixes them where
necessary.
This commit modifies the code paths the admin app uses to send one off
emails and text messages to also accept letters.
This mostly worked already, the two changes were:
- making sure that one-off letters are processed by the correct task,
from the correct queue
- one-off letters sent from a service in research mode don’t get put on
a queue and go straight to `delivered` (because we don’t want to send
them for real)
The command takes a service id and a day, grabs the historical data for
that day (potentially out of notification_history), and pops it in
redis (for eight days, same as if it were written to manually).
also, prefix template usage key with "service" to make clear that it's
a service id, and not an individual template id.
We've run into issues with redis expiring keys while we try and write
to them - short lived redis TTLs aren't really sustainable for keys
where we mutate the state. Template usage is a hash contained in redis
where we increment a count keyed by template_id each time a message is
sent for that template. But if the key expires, hincrby (redis command
for incrementing a value in a hash) will re-create an empty hash.
This is no good, as we need the hash to be populated with the last
seven days worth of data, which we then increment further. We can't
tell whether the hincrby created the key, so a different approach
entirely was needed:
* New redis key: <service_id>-template-usage-<YYYY-MM-DD>. Note: This
YYYY-MM-DD is BTC time so it lines up nicely with ft_billing table
* Incremented to from process_notification - if it doesn't exist yet,
it'll be created then.
* Expiry set to 8 days every time it's incremented to.
Then, at read time, we'll just read the last eight days of keys from
Redis, and sum them up. This works because we're only ever incrementing
from that one place - never setting wholesale, never recreating the
data from scratch. So we know that if the data is in redis, then it is
good and accurate data.
One thing we *don't* know and *cannot* reason about is what no key in
redis means. It could be either of:
* This is the first message that the service has sent today.
* The key was deleted from redis for some reason.
Since we set the TTL to so long, we'll never be writing to a key that
previously expired. But if there is a redis (or operator) error and the
key is deleted, then we'll have bad data - after any data loss we'll
have to rebuild the data.
when functions get as big as that, it's confusing to try and work out what
things are what. By including a * as the first arg, we require that anyone
calling the function has to use kwargs to reference the parameters
* Alter config so an error will be raised if you forget to mock out a
celery call in one of your tests
* Remove an unneeded exception type that was masking errors
- uses the reference field on the notifications table to store a 16char random string used to cross reference DVLA letters back to the notification
- used as letter barcode does not have space for a UUID notification id
Depends on https://github.com/alphagov/notifications-utils/pull/149
Renamed the numeric_id to notification_reference in utils and changed validation rules to match this
Note also the persist_notification method set "reference" to be "client_reference" which is confusing and they are different things, so fixed this too.
This is being done for the PaaS migration to allow us to keep traffic coming in whilst we migrate the database.
uses the same tasks as the CSV uploaded notifications. Simple changes to not persist the notification, and call into a different task.
> If a user makes an API request with additional personalisation fields,
> we should simply discard any fields that the template doesn't have.
>
> This gives a couple of related advantages:
>
> - modifying template parameters no longer requires downtime for
> clients - as they can pass in extra new parameters before a template
> change, or continue passing in old unused parameters after removing
> them from a template
>
> - services can pass in large user objects, for example, and then play
> around with templates adding and removing fields at will
>
> we should make sure we still return an error if a user doesn't pass in
> a required parameter.
– https://www.pivotaltracker.com/story/show/140774195
Cache expires every 10 minutes, but will help with the every 2 second query, especially when a job is running.
There is some clean up and qa to do for this yet
- Added the `simulate` notification logic to version 2. We have 3 email addresses and phone numbers that are used
to simulate a successful post to /notifications. This was missed out of the version 2 endpoint.
- Added a test to template_dao to check for the default value of normal for new templates
- in v2 get_notifications, casted the path param to a uuid, if not uuid abort(404)
If the template is marked as priority the notification will be sent using the `notify` queue.
The `notify` queue is a low volume queue, messages here will not be queue behind a large job and should be delivered with in a more consistent time frame.
- Added templates.process_type and templates_history.process_type column.
- Added a template_process_type table to handle the enum for templates.process_type, initial values are normal and priority
https://www.pivotaltracker.com/story/show/135429147
