There can be lots of areas in a library, for example local councils. So
when there is, let’s allow people to do the find-as-you-type thing we
support in lots of other places.
Gives them some colours, borders and stuff to make them visually
consistent with the rest of Notify.
The idea is the tags and polygons have a similar affordances (i.e.
border thickness, colour) to visually link them and imply that they are
two representations of the same thing.
So you can check you’ve chosen the right areas, and to give you a clear
idea of where the boundaries of an area are.
The Javascript and CSS for the map is only loaded on this page because
it adds quite a few kb, and we don’t want to be sending assets to the
majority of our users who will never see them.
These are just so we have some pages to click through for now. They
don’t use real templates, or any of the broadcast stuff from the
database.
But I think it’s useful to get some skeleton pages in first so that we
can see the map etc working in production, then build on that, without
having to do it all in one mega PR.
For that reason there are two short term things I’ve done in this commit
which should be revisited soon:
- no tests for the endpoints
- data about which areas are selected is stored in the session
Brings in:
- re-usable `SerialisedModel`
- speed improvements to processing CSVs against email templates
I chose not to rename `JSONModel` or `ModelList` to keep the diff nice
and small.
Similar to how we can restrict routes to only users with a given
permission, this new decorator lets us restrict routes to services that
have a given permission.
Having this is a decorator is cleaner than putting if statements inside
the endpoint code.
Leaflet seems to be the go-to library for rendering maps these days. It
will be useful for the broadcast work.
This commit add the leaflet Javascript and CSS to our asset pipeline.
The Javascript is already minified so all we need to do is copy it. The
CSS is uncompressed so we put it through the same pipe as our other
stylesheets.
I’m keeping these as separate files because they’re quite heavy (or the
JS is at least – 38kb minified) so I want them to only be loaded on the
pages where they’re used. Most users of Notify will never need to see a
map.
At the moment this won’t look like much, but it will let us do an
end-to-end run of adding a broadcast template.
At the moment all you can do with a broadcast template is edit it, so
there’s no ‘Send’ link on the page.
At the moment the page is the same as for text message templates,
except:
- different H1
- no guidance about personalisation, links, etc (until we decide how
these should work)
For now you won’t be able to really create a broadcast template, because
the API doesn’t support it (the API will respond with a 400). But that’s
OK because no real services have the broadcast permission yet.
This required a bit of refactoring of how we check which template types
a service can use, because there were some hard-coded assumptions about
emails and text messages.
This solves two problems
- it makes our response times more accurate as it means we start
measuring the response time earlier (otherwise we aren't recording the
time spent by `csrf` and `login_manager`s `before_request` functions
- is a temporary fix for a bug in the gds python metrics library as
explained below.
Currently, when a request comes in it goes through various
`before_request` functions. Currently it goes through the function
introduced by the csrf client and then the one introduced by the metrics
client. If an exception is thrown by the csrf.before_request function
then we do not run the `metrics.before_request` function. This would
happen in the case that a CSRF token is invalid and then the main body
of the request would not process but then all `teardown_request`
functions will run. When the `metrics.teardown_request` function runs it
looks for `g._gds_metrics_start_time`, however this attribute is not
availble on the flask global object as it was not created as the
`metrics.before_request` function that creates it did not run. This then
throws an `AttributeError` and results in a 500 for the user. The short
term solution for this (initing metrics before csrf) means that
`_gds_metrics_start_time` will be set before csrf is at risk of throwing
an exception.
A separate PR will be put into the gds metrics python library to remove
the risk of an `AttributeError` and instead to log a warning instead of
throwing an uncaught exception.
