Github Actions are transitioning from Node 16 to Node 20. Make sure we use
latest Github Actions versions to clean any deprecation warnings.
The migration is upcoming.
When we restored the frontend cache, we were restoring
old code as well, we don't want that, we want to only
restore the node_modules.
This commit fixes that.
We improve the build-front caching as well, to cache
only the desk build app.
To improve the speed of the CI, we cache the frontend
install. It will even be reused between pull request
until the yarn.lock has a change.
We cache as well the desk build app, in another cache,
this cache persist only per workflow. It will increase the
speed if we have e2e flaky tests and that we have to relaunch
the e2e job.
build-mails job builds mails Django templates but was not persisting its
output. This steps was present in Joanie CI. It might have been removed,
when converting Circle CI worflows to Github Actions.
Artifacts are passed between build-mails and test-back jobs. test-back
job has now a dependency to build-mails.
The CI was controlling if the traduction was made
in every PR. It makes the workflow quite grueling
when we have to change the literal, plus the synch
is complicating when we have multiple PR opened.
We remove the CI control on the traduction, we
will do dedicated PR to update the traduction.
We will add the CI control on the traduction in
the future, before a release by example.
When we run e2e tests with the CI, we are doing lot of
calls to the backend in a short amount of time. This can
lead to a rate limit particulary on the "user/me" endpoint.
To avoid this, we will use different backend settings
for the e2e tests.
Integrate 'mozilla-django-oidc' dependency, to support
Authorization Code flow, which is required by Agent Connect.
Thus, we provide a secure back channel OIDC flow, and return
to the client only a session cookie.
Done:
- Replace JWT authentication by Session based authentication in DRF
- Update Django settings to make OIDC configurations easily editable
- Add 'mozilla-django-oidc' routes to our router
- Implement a custom Django Authentication class to adapt
'mozilla-django-oidc' to our needs
'mozilla-django-oidc' routes added are:
- /authenticate
- /callback (the redirect_uri called back by the Idp)
- /logout
Refactored 'Hub' CI job for clarity, using 'docker/build-push-action.'
This dedicated workflow efficiently manages image releases on push tag
and main branch merges events.
'Hub' job was broken by Chat GPT translation from Circle CI.
Images are pushed to a temporary Docker Hub repository,
lasuite/people.
Duplicated 'build-docker' job was removed from people workflow.
We install Jest to test our i18n package.
We tests:
- the extraction of the translations on the Desk app fo crowdin
- the formatings of the translations from crowdin to the app
- we check that all the translations are present in the app
We connect the tests to the CI.
We create a package i18n to manage the translations of the project.
It help us to extract the translations from the frontend to
be deployed to crowdin.
It also help us to format the translations from crowdin to
be used by the frontend apps.
Github secrets are difficult to maintain in time because we do not have
a way to track them efficiently. So to avoid this issue, we prefer to use
sops encrypted files to manage our secrets.
Add test-e2e to people.yml, it will run e2e tests on every PR.
Steps:
- set env vars for e2e tests
- build and start docker servers
(backend, keycloak, DB)
- install playwright
- build apps
- run e2e tests
- save reports
Install playwright, adapt the config file and add a scripts to
run the tests.
e2e testing will monitor all our frontend applications,
so we install it in the frontend folder.
It configures the base of our monorepo.
As a prove of concept, to check the full process of our token,
we create a basic feature Teams.
This feature can create a team and list all teams.
We use react-query to manage the cache and the request to the API.
Used https://github.com/openfun/joanie as boilerplate, ran a few
transformations with ChapGPT and adapted models and endpoints to
fit to my current vision of the project.
