Some teams have started uploading quite a lot of letters (in the
hundreds per week). They’re also uploading CSVs of emails. This means
the uploads page ends up quite jumbled.
This is because:
- there’s just a lot of items to scan through
- conceptually it’s a bit odd to have batches of things displayed
alongside individual things on the same page
So instead we’re going to start grouping together uploaded letters. This
will be by the date on which we ‘start’ printing them, or in other
words the time at which they can no longer be cancelled.
This feels like a natural grouping, and it matches what we know about
people’s mental models of ‘batches’ and ‘runs’ when talking about
printing.
This grouping will be done in the API, so all this commit need to do is:
- be ready to display this new type of pseudo-job
- link to the page that displays all the uploaded letters for a given
print day
`recently_created` says it would just be looking at the `created_at`
field to see if it's been created recently. Technically this method
isn't doing that, whilst its behaviour would be similar, it's actually
different and maybe therefore a bit misleading.
Rather than hard-coding a format string in a bunch of different places
we can use the function we already have in utils.
This commit also refactors some logic around password resets to put the
date-parsing changes in the most sensible bit of the codebase, so it’s
clearer what the intention of the view-layer code is.
The API response for jobs includes a field called `job_status`. The API
response for uploads doesn’t.
The `Job` mode handles uploads and jobs, so it needs to account for the
possibility of the field not being there.
Notifications won’t exist for a job if:
- it’s just started
- it started a long time ago (older than the retention period)
We have a bug where:
1. Job starts processing, puts notifications on queue
2. Job finishes processing, sets status to `finished`
3. First notification gets picked up off the queue and put in the
database
In between 2. and 3. it’s possible for a job to be finished, but also to
have no notifications. We’re saying this is because the notifications
have been deleted, whereas really it’s because they haven’t been created
yet.
This commit fixes that bug by introducing the concept of recency for
jobs.
‘Recent’ is defined as 1 day, which is:
- a lot longer than it takes to create any notifications
- a bit shorter than anyone’s retention time
N.B. `processing_started` is defined here:
879ba1d5f0/app/models.py (L1194)
It can be `None` for scheduled jobs that haven’t started yet.
Jobs have a `scheduled_for` field. Single letter uploads don’t.
At the moment we treat both of them as `Job`s. So the `Job` model needs
to account for when the `scheduled_for` field is missing.
The property doesn’t represent the whole client, but just one method on
it. So this commit renames the property to better describe what it is
designed to store.
It returned the same value (and had the same code as
`.notifications_sent`).
I think `.notifications_sent` is a better name because it’s closer to
the language (‘sending’ and ‘sent’) that we use in the interface.
The API clients should just deal with calling the API and returning the
data from it.
Inferring things from the data is more logically done at the model
layer. But we couldn’t do that before, because we didn’t have a model
layer for jobs.
By moving it from the view we reduce the complexity of the methods in
the view layer, so it’s easier to see what they do.
This also renames the variable `finished` to the property
`processing_finished` to disambiguate from the `job_status` field in the
JSON, which can also have a value of `finished`.
This follows the pattern of what we’ve done with services, users and
events.
It gives us a way of neatly instantiating a model for each item in the
list we get back from the API and reduces the complexity of the view
layer code.
Now is a good time to do this because we’re going to be making a bunch
of changes to the jobs pages, and those changes will be easier to code
and understand with a sensible model behind them.
This follows the pattern of what we’ve done with services, users and
events.
It gives us a better interface to the data we get back from the API than
dealing with the raw JSON directly.
Now is a good time to do this because we’re going to be making a bunch
of changes to the jobs pages, and those changes will be easier to code
and understand with a sesnsible model behind them.