This change allows the marketing service timeout to be easily adjusted
via an environment variable, eliminating the need for a new software release.
Additionally, the update makes the code more explicit and easier to maintain.
Submitting new users to the marketing service is currently handled
during signup and is performed only once.
This is a pragmatic first implementation, yet imperfect.
In the future, this should be improved by delegating the call to a Celery
worker or an async task.
Inspired by @sampaccoud's eee2003 commit on impress, adapt the code to be more
Pythonic. Add basic test coverage for user name synchronization on login. User
name fields now update automatically at each login when new data is available.
Note: current logic doesn't handle the case where a user with existing names
logs in with missing first/last names - should we clear the names then?
Removing a field that was present in the initial form is not a valid update
operation.
When OIDC providers return random values in the "sub" field instead of stable
identifiers, implement email-based user matching as fallback.
Note: Current implementation needs improvement. Tests forthcoming.
Original: @sampaccoud (ff7914f) on Impress
Handle case where user is inactive.
Previously this edge case would cause unexpected behavior.
Related to previous commit that added the test coverage.
Remove redundant wrapper method that duplicates SUB validation logic.
Already validated in parent class, following the pattern established by
@sampaccoud in People and Impress modules.
Handle case where sub value is an empty string instead of None.
Previously this edge case would cause unexpected behavior.
Related to previous commit that added the test coverage.
In this commit, we'll integrate a third-party service to track user events.
We start by using the `identify` method to track sign-ins and sign-ups.
Additionally, we use the `track` method to monitor custom events such as room
creation, access token generation, and logouts. This will provide us with
valuable data on current usage patterns.
The analytics library operates by opening a queue in a separate thread for
posting events, ensuring it remains non-blocking for the API. Let's test
this in a real-world scenario.
I have updated all references of "Impress" to "Meet".
Migrations were manually updated and not regenerated. Never-mind,
they all will be squashed before the first release.
I have also searched for reference to "Magnify", and replaced them
by "Meet".
While updating the backend sources, I have also fixed other parts of
the project, namely:
- Compose file
- Github documentation and CI
- Makefile commands
This commit introduces a boilerplate inspired by https://github.com/numerique-gouv/impress.
The code has been cleaned to remove unnecessary Impress logic and dependencies.
Changes made:
- Removed Minio, WebRTC, and create bucket from the stack.
- Removed the Next.js frontend (it will be replaced by Vite).
- Cleaned up impress-specific backend logics.
The whole stack remains functional:
- All tests pass.
- Linter checks pass.
- Agent Connexion sources are already set-up.
Why clear out the code?
To adhere to the KISS principle, we aim to maintain a minimalist codebase. Cloning Impress
allowed us to quickly inherit its code quality tools and deployment configurations for staging,
pre-production, and production environments.
What’s broken?
- The tsclient is not functional anymore.
- Some make commands need to be fixed.
- Helm sources are outdated.
- Naming across the project sources are inconsistent (impress, visio, etc.)
- CI is not configured properly.
This list might be incomplete. Let's grind it.
