It clashes with the new `$govuk-focus-colour` now. This commit changes
it to half way between `govuk-colour("dark-grey")` (`#505a5f`) and
`govuk-colour("mid-grey")` (`#b1b4b6`) from the Design System. Dark was
too dark and mid was too light.
It also adds a line of JS to let us easily switch the header to blue by
clicking on it, which is useful for taking screenshots etc.
we want to keep track of all broadcast services across govt easily. As
such, when broadcasting is enabled for a service, we've decided we're
going to add the service to a special broadcasting organisation.
This organisation is defined in the config file. It's hard coded for
production, if you want to test locally, you should set
BROADCAST_ORGANISATION_ID in your local environment.
Everything else is production. The bucket is currently called
production. The fact that the CSV bucket is called `live-` is a legacy
thing that’s hard to change.
We don’t want to muddy them up with the normal CSV uploads.
I’ve tried to reuse the existing S3 code where possible because it’s
well tested.
Buckets have already been created.
Celery/SQS underperforms in low-traffic environments. Tasks will sit on
celery queues for several seconds before getting picked up if they're
the only thing on the queue. This is observable in our test environments
like preview and staging, but we've got enough load on production that
this isn't an issue.
When we validate reply to email addresses, we expect a delivery receipt
to have been processed within 45 seconds of the button being pressed. On
preview, we often observe times over that, possibly due to the several
queues involved in sending an email and processing its receipt. So, to
ensure that functional tests can pass (when we don't really care how
fast things are, just that the flow doesn't break), bump this timeout up
to 120 seconds on preview. The functional tests were waiting for 120
seconds for the reply to address to be validated anyway.
we have a hunch that some session related issues that we've seen over
the last few weeks might be related to weird race conditions where
cookies set by subresources (image previews of letters on the send flow)
arrive just as the img request is cancelled because the user has clicked
on a button to navigate to a new page, but still manage to set the
cookie? We're not entirely sure what's going on, but we've got a hunch
that not setting cookies on image fetches sounds sensible. Images are
always loaded as a subresource (ie: through a `src` tag in an html
element), so they should never need to change the cookies, so this seems
sensible. We've done this by creating a new blueprint that doesn't set
session.permanent, and doesn't call `save_serivce_or_org_after_request`
either.
cookies are sent back to the browser if:
`sesion.modified or (session.permanent and 'REFRESH_EVERY_REQUEST')`
(where the latter is a config setting).
Turning off REFRESH_EVERY_REQUEST (which is True by default) means that
we will only update the sesion if it's been modified. In practice,
literally every request is modified in the after_request handler
`save_service_or_org_after_request`. This is accidentally convenient,
as it guarantees that we'll still send back the cookie normally even
though refresh_every_request is disabled. Sending back the cookie
updates the expiry time (20 hours), so we need to keep doing this to
preserve existing session timeout behaviour.
This sanitises uploaded letters and stores the sanitised result in S3
with if it passes validation or the original PDF in S3 if validation
fails. A metadata value of 'status' is set to either 'valid' or
'invalid'.
also set redis url locally to be localhost. redis is disabled by
default so this won't do anything unless you set REDIS_ENABLED=1 as an
environment variable
The CDN URLs aren’t in included in the content security policy. So
browsers will refuse to load them.
This commit:
- adds each of the CDN URLs to the
- only prepend URLs in CSS files with `/static/` if we’re running
locally (because the CDN URLs are like `static.example.com` not
`example.com/static`)
`www.notifications.service.gov.uk` domain is:
- not gzipped
The PaaS proxy used to GZip and set headers for anything served from a
path starting with `/static/`:
76dd511a8a/ansible/roles/paas-proxy/templates/admin.conf.j2 (L53-L64)
Anything served from `static.notifications.service.gov.uk` is:
- GZipped
- and as a bonus, cached by Cloudfront where possible (meaning the
requests won’t ever hit our app)
This commit moves to serving static asset from `/static/` to
`static.notifications.service.gov.uk`, to get the above listed benefits.
***
We could do even better by setting long cache expiry headers on the static subdomain (currently they’re only set to cache for 60 seconds). But that’s out of scope for this commit.
Admin, API and utils were all defining a value for SMS_CHAR_COUNT_LIMIT.
This value has been updated in notifications-utils to allow text
messages to be 4 fragments long and notifications-admin now gets the value of
SMS_CHAR_COUNT_LIMIT from notifications-utils instead of defining it in
config.
Most of the time spent by the admin app to generate a page is spent
waiting for the API. This is slow for three reasons:
1. Talking to the API means going out to the internet, then through
nginx, the Flask app, SQLAlchemy, down to the database, and then
serialising the result to JSON and making it into a HTTP response
2. Each call to the API is synchronous, therefore if a page needs 3 API
calls to render then the second API call won’t be made until the
first has finished, and the third won’t start until the second has
finished
3. Every request for a service page in the admin app makes a minimum
of two requests to the API (`GET /service/…` and `GET /user/…`)
Hitting the database will always be the slowest part of an app like
Notify. But this slowness is exacerbated by 2. and 3. Conversely every
speedup made to 1. is multiplied by 2. and 3.
So this pull request aims to make 1. a _lot_ faster by taking nginx,
Flask, SQLAlchemy and the database out of the equation. It replaces them
with Redis, which as an in-memory key/value store is a lot faster than
Postgres. There is still the overhead of going across the network to
talk to Redis, but the net improvement is vast.
This commit only caches the `GET /service` response, but is written in
such a way that we can easily expand to caching other responses down the
line.
The tradeoff here is that our code is more complex, and we risk
introducing edge cases where a cache becomes stale. The mitigations
against this are:
- invalidating all caches after 24h so a stale cache doesn’t remain
around indefinitely
- being careful when we add new stuff to the service response
---
Some indicative numbers, based on:
- `GET http://localhost:6012/services/<service_id>/template/<template_id>`
- with the admin app running locally
- talking to Redis running locally
- also talking to the API running locally, itself talking to a local
Postgres instance
- times measured with Chrome web inspector, average of 10 requests
╲ | No cache | Cache service | Cache service and user | Cache service, user and template
-- | -- | -- | -- | --
**Request time** | 136ms | 97ms | 73ms | 37ms
**Improvement** | 0% | 41% | 88% | 265%
---
Estimates of how much storage this requires:
- Services: 1,942 on production × 2kb = 4Mb
- Users: 4,534 on production × 2kb = 9Mb
- Templates: 7,079 on production × 4kb = 28Mb
Rather than making users contact us to get the agreement, we should just
let them download it, when we know which version to send them.
This commit adds two endpoints:
- one to serve a page which links to the agreement
- one to serve the agreement itself
These pages are not linked to anywhere because the underlying files
don’t exist yet. So I haven’t bothered putting real content on the page
yet either. I imagine the deploy sequence will be:
1. Upload the files to the buckets in each environment
2. Deploy this code through each enviroment, checking the links work
3. Make another PR to start linking to the endpoints added by this
commit
Done using isort[1], with the following command:
```
isort -rc ./app ./tests
```
Adds linting to the `run_tests.sh` script to stop badly-sorted imports
getting re-introduced.
Chosen style is ‘Vertical Hanging Indent’ with trailing commas, because
I think it gives the cleanest diffs, eg:
```
from third_party import (
lib1,
lib2,
lib3,
lib4,
)
```
1. https://pypi.python.org/pypi/isort
VCAP_SERVICES is not set on PaaS if no services are bound to the
application, so we need to check for VCAP_APPLICATION to parse the
application name and environment.
