We want to allow users to upload files to a document, not just images.
We try to enforce coherence between the file extension and the real
mime type of its content. If a file is deemed unsafe, it is still accepted
during upload and the information is stored as metadata on the object
for display to readers.
Some OIDC identity providers may provide a random value in the "sub"
field instead of an identifying ID. In this case, it may be a good
idea to fallback to matching the user on its email field.
Fix following warning messages :
- You have not set a value for the SECURE_HSTS_SECONDS setting.
- Your SECURE_SSL_REDIRECT setting is not set to True.
We only rely on S3 to store attachments for a document. Nothing
is persisted in the database as the image media urls will be
stored in the document json.
Email settings were wrongly configured. It leed to
unsent email and timeout response from the backend
server. This commit fixes the issue by enabling SSL
when sending email.
We want to be able to share a document with a person even if this person
does not have an account in impress yet.
This code is ported from https://github.com/numerique-gouv/people.
The default Logout view provided by Mozilla Django OIDC is not suitable
for the Agent Connect Logout flow.
Previously, when a user was logging-out, only its Django session was ended.
However, its session in the OIDC provider was still active.
Agent Connect implements a 'session/end' endpoint, that allows services to
end user session when they logout.
Agent Connect logout triggers cannot work with the default views implemented
by the dependency Mozilla Django OIDC. In their implementation, they decided
to end Django Session before redirecting to the OIDC provider.
The Django session needs to be retained during the logout process.
An OIDC state is saved to the request session, pass to Agent Connect Logout
endpoint, and verified when the backend receives the Logout callback from Agent
Connect. It seems to follow OIDC specifications.
If for any reason, the Logout flow cannot be initiated with Agent Connect,
(missing ID token in cache, unauthenticated user, etc), the user is redirected
to the final URL, without interacting with Agent Connect.
Prepare adding advanced authentication features. Create a dedicated
authentication Python package within the core app.
This code organization will be more extensible.
Versions are retrieved directly from object storage and served on API
endpoints. We make sure a user who is given access to a document will
only see versions that were created after s.he gained access.
The content field is a writable property on the model which is persisted
in object storage. We take advantage of the versioning, robustness and
scalability of S3.
mozilla-django-oidc didn't add the https://
prefix to the redirect_uri.
We set the option SECURE_PROXY_SSL_HEADER to
('HTTP_X_FORWARDED_PROTO', 'https') in the
settings.py file to force the https prefix.
Enabled Dockerflow Django app by activating liveness probes. The previously
unavailable routes such as `__heartbeat__` and `__lbheartbeat__` are now
accessible. New endpoints include:
* GET /__version__
* GET /__heartbeat__
* GET /__lbheartbeat__
In development, sessions are saved in local memory. It's working well,
however it doesn't adapt to a kubernetized setup. Several pods need
to access the current sessions, which need to be stored in a single
source of truth.
With a local memory cache, pods cannot read session saved in other pods.
We end up returning 401 errors, because we cannot authenticate the user.
I preferred setting up a proper cache than storing sessions in database,
because in the long run it would be a performance bottleneck. Cache will
decrease data access latency when reading current sessions.
I added a Redis cache backend to the production settings. Sessions would
be persisted to Redis. In K8s, a Redis operator will make sure the cached
data are not lost.
Two new dependencies were added, redis and django-redis.
I followed the installation guide of django-redis dependency. These
setting were tested deploying the app to a local K8s cluster.
