that is already cancelled vs when it is too late to
cancel letter vs when we don't know what's the cause
of failure.
This is so we could show useful error messages to the users
and also for better debugging.
The "normal" service permissions and broadcast service permissions are
going to be different with no overlap. This means that if you were
viewing the team members page, there might be permissions in the
database that are not visible on the frontend if a service has changed
type. For example, someone could have the 'manage_api_keys' permission,
which would not show up on the team members page of a broadcast service.
To avoid people having permissions which aren't visible in admin, we now
remove all permissions from users when their service is converted to a
broadcast service.
Permisions for invited users are also removed.
It's not possible to convert a broadcast service to a normal service, so
we don't need to cover for this scenario.
This wasn't working - the error given when trying to access it was
`TypeError: Object of type 'Row' is not JSON serializable` when we tried
to serialize a SQLAlchemy Row.
I haven't looked too far into what has changed to stop this from
working, but have just changed the endpoint to return a nested list instead.
Introduce a contextmanger function to handle exceptions and nested
transactions. Using the nested_transaction will start a
nested transaction with `db.session.begin_nested`, once the nested
transaction is complete the commit will happen.
`@transactional` has been updated to commit unless in a nested
transaction.
db update/insert.
Using a savepoint for the multiple transactions allows us to rollback if
there is an error when executing the second db transaction.
However, this does add a bit of complexity. Developers need to manage
the db session when calling multiple nested tranactions.
Unit tests have been added to test this functionality and some end to
end tests have been done to make sure all transactions are rollback if
there is an exception while executing the transaction.
Note, I haven't added anything for the `go_live_user` because it doesn't
quite make sense because here a user isn't requesting to go live. So
there should be no reason to record this.
We will in time though want to add audit events to capture every change
to the service broadcast settings, that will actually capture who has
done what.
We will use this to easily identify all our broadcast services. There
could be other ways to deal with finding and seeing all broadcast
services but this is a good and easy way to start.
We think it would be a security risk to show the name of services
involved in emergency alerts as they be responsible for things such as
counter terrorism.
On top of that, showing broadcast services in the list of all services
could enable someone to use that information to try and trick an admin
into letting them access of a particular service given the fact they
know the name of it
Flake8 Bugbear checks for some extra things that aren’t code style
errors, but are likely to introduce bugs or unexpected behaviour. A
good example is having mutable default function arguments, which get
shared between every call to the function and therefore mutating a value
in one place can unexpectedly cause it to change in another.
This commit enables all the extra warnings provided by Flake8 Bugbear,
except for:
- the line length one (because we already lint for that separately)
- B903 Data class should either be immutable or use `__slots__` because
this seems to false-positive on some of our custom exceptions
- B902 Invalid first argument 'cls' used for instance method because
some SQLAlchemy decorators (eg `declared_attr`) make things that
aren’t formally class methods take a class not an instance as their
first argument
It disables:
- _B306: BaseException.message is removed in Python 3_ because I think
our exceptions have a custom structure that means the `.message`
attribute is still present
Matches the work done in other repos:
- https://github.com/alphagov/notifications-admin/pull/3172/files
The standard way that we indicate that there are more results than can
be returned is by paginating. So even though we don’t intend to paginate
the search results in the admin app, it can still use the presence or
absence of a ‘next’ link to determine whether or not to show a message
about only showing the first 50 results.
So we keep a record of who first uploaded a list it’s better to archive
a list than completely delete it.
The list in the database doesn’t contain any recipient info so this
isn’t a change to what data we’re retaining.
This means updating the endpoints that get contact lists to exclude ones
that are archived.
Once a contact list is gone from the database there’s no way to
reference it again. Any jobs have made their own copy.
So we can clean it up, meaning we’re not storing personal data longer
than we need to.
This was one of things we de-scoped when we first shipped this feature.
In order to safely delete a list, we first need to make sure any jobs
aren’t referencing it.
- Table to store meta data for the emergency contact list for a service.
- Endpoint for fetching contact lists for service
- Endpoint for saving contact list for service.
The list will be stored in S3. The service will then be able to send emergency announcements to staff.
If we know that the most recently returned letter was reported more than
7 days ago then we know, without having to go to the database again,
that the count of returned letters in the last 7 days is 0.
Currently the dashboard in the admin app pull the entire returned letter
summary for a service to calculate how many letters have been returned
in the last seven days.
Adding a separate endpoint for this purpose is better because:
- it’s a more efficient query
- it’s less data to send down the pipe
- it gives us a place to return the complete datetime, so the dashboard
can be more precise about when the most recent report was
- Do not show "hidden" or precompiled templates, users don't know about them.
- Remove the client reference if it is the file name of an uploaded file.
- Format the date for created_at
- Added a test for all the different types of letters.
1) One off templated letter
2) Letter created by a csv upload or job.
3) Uploaded letter
4) Templated letter sent by the API
5) Precompiled letter sent by the API
Before the search term was either:
- an email address (or partial email address)
- a phone number (or partial phone number)
Now it can also be:
- a reference (or partial reference)
We can take a pretty good guess, by looking at the search term, whether
the thing the user is searching by email address or phone number. This
helps us:
- only show relevant notifications
- normalise the search term to give the best chance of matching what we
store in the `normalised_to` field
However we can’t look at a search term and guess whether it’s a
reference, because a reference could take any format. Therefore if the
user hasn’t told us what kind of thing their search term is, we should
stop trying to guess.
