Pylint 3.2.0 introduced a new check `possibly-used-before-assignment`, which
ensures variables are defined regardless of conditional statements.
Some if/else branches were missing defaults. These have been fixed.
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.
Simply display all Mailboxes create for a MailDomain.
LDAP connection is not yet available, it will be implemented soon.
Read and create permissions will be refined soon too.
Pylint was randomly failing due to a warning while unpacking emails.
The W0632 (Possible unbalanced tuple unpacking) was triggered.
Replace tuple unpacking by an explicitly accessing the first element of
the array using index.
Previously, there was a difference between Django's `order_by`
behavior and Python's `sorted` function, leading to test failures
under specific conditions. For example, entries such as 'Jose Smith'
and 'Joseph Walker' were not consistently sorted in the same order
between the two methods.
To resolve this issue, we've ensured that sorting the expected
results in the TeamAccess tests are both case-insensitive and
space-insensitive. This adjustment fix tests flakiness
The email field on the user is renamed to "admin_email" for clarity. The
"email" and "name" fields of user's main identity are made available on
the user model so it is easier to access it.
Django logs some security warnings we can ignored when deploying over K8s.
Inspired by fun project, I added the Django setting SILENCED_SYSTEM_CHECKS,
and silenced the two that were logging a lot of warning.
Email settings were wrongly configured. It led to unsent email and timeout
response from the backend server.
I forgot to enable the SSL while using the Email service from scalingo.
With the recent addition of mails' templates, Django traduction files
needed to be updated.
It seems that recents backend changes were not reflected into the
Django traduction file. Fixed them, and add traductions related to
the invitation email.
Last revision was made on 2024-01-01
When generating an Invitation object within the database, our intention
is to promptly notify the user via email. We send them an invitation
to join Desk.
This code is inspired by Joanie successful order flow.
Johann's design was missing a link to Desk, I simply added a button which
redirect to the staging url. This url is hardcoded, we should refactor it
when we will deploy Desk in pre-prod or prod environments.
Johann's design relied on Marianne font. I implemented a simpler version,
which uses a google font. That's not important for MVP.
Look and feel of this first invitation template is enough to make our PoC
functionnal, which is the more important.
THis feature is inspired by Joanie. Add two new urls to render Emails
HTML and Text templates.
Developpers can render the email template they are working on. When necessary,
run make mails-build, and reload `_debug__/mail/hello_html`, it will re-render
the updated email template.
Also, I have copy/pasted one template extra tags from Joanie, which loads
bas64 string from static images. This code is necessary to render the dummy
template `hello.html`.
Improved code readability, by extracting this well-scoped unit of
logic in a dedicated method. Also, rename active_invitations to match
'valid' vocabulary used elsewhere in the doc. If no valid invitation
exists, early return to avoid nesting.
When generating a batch of users using Faker, there's a possibility of
generating multiple users with the same email address. This breaches
the uniqueness constraint set on the email field, leading to flaky
tests that may fail when random behavior coincides unfavorably.
Implemented a method inspired by Identity's model to ensure unique
email addresses when creating user batches with Faker.
Updated relevant tests for improved stability.
Important ordering fields for TeamAccess depend on user's
identities data. User and identities has a one-to-many relationship,
which forced us to prefetch the user-related data when listing
team's accesses.
Prefetch get data from the database using two SQL queries, and
join data in Python. User's data were not available in the first
SQL query.
Without annotating the query set with user main identities data,
we could not use default OrderingFilter backend code, which order_by()
the queryset.
Enhance list capabilities, by adding the OrderingFilter as filter backend,
to the TeamAccess viewset.
API response can be ordered by TeamAccess role. More supported ordering
fields will be supported later on.
We created a custom Pagination class, were max_page_size is overriden.
I decided to add bare minimum tests to make sure we can set the maximum
page size using the 'page_size' query parameter.
Our Pagination class inherits from the PageNumberPagination Django class.
However, this base class as not ordering attribute. Thus, setting a
default value wont have any effect on the code.
Why did we end up passing a value to this non-existing attribute? Becasue
we copy/pasted some code sources from Joanie, and Joanie also has this
attribute set to a default value.
If you take a look at DRF pagination style documentation, the only three
attributes they set on the child class are 'page_size', 'max_page_size'
'page_size_query_param'. 'ordering' is not mentionned in the attributes
you may override. However, the CursorPagination class offers the latter
attribute, which may explain why we did end up setting this non-existing
attribute in Joanie.
djangorestframework released version 3.15.0, which includes modifications of
details upon returning 404 errors (see related issue
https://github.com/encode/django-rest-framework/pull/8051).
This commit changes the expected details of 404 responses in our tests,
to match DRF 3.15.0.
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.
To facilitate deployment on Kubernetes, we've introduced a Docker image for the
frontend. The Next.js project is built, and its static output is served using an
Nginx reverse proxy.
Since DevOps lacks a certified cold storage solution (e.g., S3) for serving
static files, we've decided to containerize the frontend as a quick workaround
for deploying staging environments.
Please note this Docker Image is WIP. One of the main issue still not resolved
concerns environment variables, which are only available when building the
Docker Image. Thus, having different environment variables values between
environment (dev, pre-prod, prod) will require us to build several frontend
images, and tag them with the appropriate target environment.
The `.env.production` values are not the final ones. For now, they were set to
dev values. It allows us to test the frontend image with the development setup.
Important: The frontend image is built-on top of an unprivileged Nginx image,
which exposes by default port 8080 instead of 80 for classic Nginx image.
You can find more info https://github.com/nginxinc/docker-nginx-unprivileged.
The Docker Compose Nginx service is used to proxy OIDC requests to keycloak,
in order to share the same host when initiating an OIDC flow, from outside and
inside docker virtual network.
All Nginx configurations related to serve frontend static build were moved to a
newly created conf file under src/frontend/apps/desk. When starting the frontend
image, we desire to start the minimum Nignx config required to serve frontend
statics.
The current implementation of our product demo via the make command lacks
user identity for a significant portion of generated users, limiting the
realism of the showcased scenarios. As it stands, users created by the make
command lack complete information, such as full names and email addresses,
because they don't have any identity.
I tried to come up with the simplest solution:
We now generate a very small portion of our users with 0 identities. The
probability for users to have only 1 identity is the highest but they
can have up to 4 with decreasing probabilities. I removed the possibility
to set a maximum number of identities as it doesn't bring any value.
3% percent of the identities created will have no email and 3% no name.
Fixes https://github.com/numerique-gouv/people/issues/90
Compute Trigram similarity on user's name, and sum it up
with existing one based on user's email.
This approach is inspired by Contact search feature, which
computes a Trigram similarity score on first name and last
name, to sum up their scores.
With a similarity score influenced by both email and name,
API results would reflect both email and name user's attributes.
As we sum up similarities, I increased the similarity threshold.
Its value is empirical, and was finetuned to avoid breaking
existing tests. Please note, the updated value is closer to the
threshold used to search contacts.
Email or Name can be None. Summing two similarity scores with
one of them None, results in a None total score. To mitigate
this issue, I added a default empty string value, to replace
None values. Thus, the similarity score on this default empty
string value is equal to 0 and not to None anymore.
When testing user search, we generated few identities
with mocked emails.
Name attribute was introduced on Identity model. Currently
names are freely and randomly generated by the factory.
To make this mocked data more realist, mock also identities'
names to match their email.
It should not break existing tests, and will make them more
predictable when introducing advanced search features.
Nest invitation router below team router and add create endpoints for
authenticated administrators/owners to invite new members to their team,
list valid and expired invitations or delete invite altogether.
Update will not be handled for now. Delete and recreate if needed.
Break copy/pasted comment from Joanie in several inline
comments, that are more specific and easy to read.
Hopefully, it will help future myself understanding this
queryset and explaining it.
To compute accesses's abilities, we need to determine
which is the user's role in the team.
We opted for a subquery, which retrieves the user's role
within the team and annotate queryset's results.
The current subquery was broken, and retrieved other
users than the request's user. It led to compute accesses'
abilities based on a randomly picked user.
Abilities on team accesses are computed based on request user role.
Thus, members' roles in relation with user's role matters a lot, to
ensure the abilities were correctly computed.
Complexified the test that lists team accesses while being authenticated.
More members are added to the team with privileged roles. The user
is added last to the less with the less privileged role, "member".
Order matters, because when computing the sub query to determine
user's role within the team, code use the first result value to set the
role to compute abilities.
When running make ruff-check, a warning informs the user that
some config are deprecated, and gives her the step to migrate.
This warning appears after Ruff released its v0.2.0.
Fix it, by keeping our pyproject.toml up to date.
