People with dyslexia and dyscalculia find it difficult to transpose
codes which have consecutive, repeated digits[1].
This commits enhances the algorithm for generating codes to not repeat
the previous digit in a code.
This reduces the key space for our codes from 100,000 possibilities to
65,610 possibilities.
1. https://twitter.com/annaecook/status/1442567679710150662
This updates the tickets that are created when the
`check_if_letters_still_pending_virus_check` scheduled task detects
letters in the `pending-virus-check` state.
In response to: https://github.com/alphagov/notifications-api/pull/3305#pullrequestreview-726672421
Previously this was added among the public /v2 endpoints, but it's
only meant for internal use. While only the govuk-alerts app would
be able to access it, the location and /v2 URL suggested otherwise.
This restructures the endpoint so it resembles other internal ones.
make sure timestamps returned from the api are always consistent.
The only place in models where we're serializing a BST timestamp is on
the Notification.serialize_for_csv method now, which at least is a bit
different as this is user-facing (it also returns a formatted
human-readable notification_status for example).
We have a lot of commands and it's important we test the ones that
are meant to be used in the future to ensure they work when they're
needed. Testing Flask commands is usually easy as written in their
docs [1], but I had to make some changes to the way we decorate the
command functions so they can work with test DB objects - I couldn't
find any example of someone else encountering the same problem.
[1]: https://flask.palletsprojects.com/en/2.0.x/testing/#testing-cli-commands
This is happening on the AWS side now as part of
alphagov/notifications-broadcasts-infra#267 - but we still want to keep
the zendesk ticket as it contains useful context _and_ provides
visibility to the team.
Previously I had to handcraft some SQL to give myself access to a
broadcast service I created locally. I've done this enough times
that I think it's worth automating.
As of https://github.com/python/cpython/commit/041d8b48a2e59fa642b2c5124d78086baf74e339
it’s not valid to call `random.choices` without giving at least one of
the options a positive weighting.
This makes sense, because giving a zero weighting is effectively saying
‘theres’s only one choice, but don’t choose it’.
In our codebase this is applicable where there’s only one international
provider, which we want to use even when it’s been de-prioritised for
domestic SMS.
This doesn’t cause a problem now, but will if we upgrade to Python
versions greater than 3.9.0.
In one case ("areas=['manchester']") the format was even invalid,
but in general the original value of the column is pretty much
irrelevant for tests that involve updating it (it's highly unlikely
the column would default to the same value as the test data).
For the public API we actually receive a "name" instead of an ID,
which we also want to start sending from the Admin app.
Unlike IDs, which aren't really used anywhere, we want the names
to display the alerts on gov.uk/alerts.
Currently we have:
- An "areas" column in the DB that stores a JSON blob.
- An "areas" field inside the "areas" JSON that stores area IDs.
- Each field has to be manually copied into the JSON column.
We want to move to:
- An "areas" column in the DB (unchanged).
- An "ids" field inside the "areas" JSON (to replace "areas").
- The Admin app sending other data inside an "areas" JSON field.
The API design for areas is confusing and difficult to extend.
Here we duplicate the current API functionality using an "areas_2"
field. Once the Admin app is using this field, we'll be able to
rename it to just "areas", which is where we want to get to.
In the next commits we'll build on this to support the migration
from "areas"."areas" to "areas"."ids".
This is a temporary feature to make it easy to migrate the format
of the "areas" column and backfill extra data for it.
It's not possible to use this feature to update the status of an
old broadcast message, so the risk from this override is minimal.
If a polygon is smaller than the largest polygon in our dataset of
simplified polygons then we’re only throwing away useful detail by
simplifying it.
We should still simplify larger polygons as a fallback, to avoid sending
anything to the CBC that we’re not sure it will like.
The thresholds here are low: we can raise them as we test and experiment
more.
Here’s some data about the Flood Warning Service polygons
Percentile | 80% | 90% | 95% | 98% | 99% | 99.9%
-----------|-----|-------|--------|---------|---------|---------
Point count| 226 | 401.9 | 640.45 | 1015.38 | 1389.07 | 3008.609
Percentile | 80% | 90% | 95% | 98% | 99% | 99.9%
--------------|-----|-------|--------|---------|---------|---------
Polygon count |2----|3------|5-------|8--------|10-------|40.469
This new version of utils implements the transformation of our polygons
to a Cartesian plane. In other words, it converts them from being
defined in spherical degrees to metres.
For the API this means our simplification will be slightly more
accurate.
Regardless of channel.
Do not include:
- broadcasts older than 25.05.2021
- stubbed broadcasts
- broadcasts that were not transmitted. So only broadcasting,
cancelled and completed make the list;
We can define the API properly in future work. I've used a separate
blueprint from "broadcasts" since this API is purely internal, and
it's helpful to make it clear it's specific to govuk-alerts.
This switches to testing the two functions directly as trying to
test them through the top-level "requires_..." functions or calls
to endpoints doesn't scale as we add more of them.
While this has a slight risk that a "requires_..." function might
not be using these helpers, it seems unlikely and we can always
add a mock to check this if we're concerned in future.
Previously "requires_auth" and "requires_admin_auth" had similar
but different ways of checking their keys. This switches them to
use the same checks, with the admin / internal auth passing in a
fake / stub set of "api keys" to check.
Pulling out the logic this way will make it easier to unpick the
tests, so we can focus on testing what's unique to each kind of
API auth and avoid future duplication when we start calling the
"requires_internal_auth" method with other client_ids.
Note that a couple of error messages / response codes have changed
for admin / internal auth. None of these occur in practice, so we
can make them consistent with the behaviour for the public API.
Chris Hill-Scott