In the LMS/CMS Dockerfile, the env var STUDIO_CFG is set
in order to point CMS at its configuration json/yaml file.
Since https://github.com/edx/edx-platform/pull/29534
(which introduced 0013-cms-vs-studio.rst), the STUDIO_CFG
variable has been deprecated in favor of CMS_CFG.
This change updates the Dockerfile to reflect the new
preferred environment variable.
The only noticeable impact of this change is that it
will remove a depreation warning from Django startup
for tutor uses running off of Open edX master.
upgrading.
- [Bugfix] During upgrade, make sure that environment is up-to-date
prior to prompting to rebuild the custom images.
- [Bugfix] Fix ownership of mysql data, in particular when upgrading a
Kubernetes cluster to Maple.
- [Bugfix] Ensure that ``tutor k8s upgrade`` is run during ``tutor k8s
quickstart``, when necessary.
- 💥[Bugfix] By default, detect the current version during ``tutor
k8s/local upgrade``.
- [Bugfix] Fix upgrading from Lilac to Maple on Kubernetes by deleting
deployments and services.
`upgrade` had several issues, which are summarized here:
https://discuss.overhang.io/t/confusing-instructions-during-upgrade/2281/7
- The docs say that you should run quickstart, but what most people will see is
the big command tutor local upgrade --from=lilac verbatim paragraph.
- The local upgrade command should be very explicit about the fact that users
need to run quickstart.
- Maybe the name of the local upgrade command should be improved.
- When upgrading tutor from one major release to the next, there should be a
more explicit warning to inform users of what they are doing (see this other
conversation 1)
- We should tell people that they almost certainly need to enable the tutor and
the mfe plugins, if they are not enabled during upgrade.
- A link to all of the breaking changes from the changelog should be
prominently displayed during upgrade.
- The docs should emphasize that upgrading from one major release to the next
is potentially a risky endeavor and that downgrading is not possible. The docs
should also link to the changelog.
This commit has grown slightly beyond the intended scope, but the changes should be mostly positive.
In theory, we can assign ownership of mysql data to just any user. But in
Lilac, mysql was running with user 999. When upgrading to Maple, on Kubernetes,
the fsGroupChangePolicy was causing a change of the data *group* (to 1000) but
not of the user. This was causing a crash with the following error:
[ERROR] InnoDB: The error means mysqld does not have the access rights to the directory.
When upgrading from Lilac, all services break with the following error:
Service "***" is invalid: spec.ports[0].nodePort: Forbidden: may not be used when `type` is 'ClusterIP'
Upgrading deployments fails as well:
Deployment.apps "***" is invalid: spec.selector: Invalid value: v1.LabelSelector{MatchLabels:map[string]string{"app.kubernetes.io/instance":"openedx-********", "app.kubernetes.io/managed-by":"tutor", "app.kubernetes.io/name":"***", "app.kubernetes.io/part-of":"openedx"}, MatchExpressions:[]v1.LabelSelectorRequirement(nil)}: field is immutable
That's because deployments and services need to be deleted as part of the Maple
upgrade. So that's what we do as part of `tutor k8s upgrade --from=lilac`. And
we take the opportunity to:
1. Run upgrade as part of quickstart, when necessary.
2. Default to lilac during `tutor k8s upgrade`.
Close #551.
- [Security] Upgrade Django to 3.2.11 in edx-platform.
- [Security] Prevent non-staff users from searching usernames by email by
abusing the logout url.
Without this patch, it is possible to search for account info including
username by using the email of a learner. This fix disallows searching using
email by regular users and restricts this feature to only staff and superusers.
- A shared cookie domain between lms and cms is no longer recommended:
https://github.com/edx/edx-platform/blob/master/docs/guides/studio_oauth.rst
- refactor: clean mounted data folder in lms/cms. In Lilac, the
bind-mounted lms/data and cms/data folders are a mess because new
folders are created there for every new course organisation. These
folders are empty. As far as we know they are useless... With this
change we move these folders to a dedicated "modulestore" subdirectory;
which corresponds better to the initial intent of the fs_root setting.
- fix: frontend failure during login to the lms. See:
https://github.com/openedx/build-test-release-wg/issues/104
- feat: move all forum-related code to a dedicated plugin. Forum is an
optional feature, and as such it deserves its own plugin. Starting from
Maple, users will be able to install the forum from
https://github.com/overhangio/tutor-forum/
- migrate from DCS_* session cookie settings to SESSION_*. That's
because edx-platform no longer depends on django-cookies-samesite. Close
https://github.com/openedx/build-test-release-wg/issues/110
- get rid of tons of deprecation warnings in the lms/cms
- feat: make it possible to point to themed assets. Cherry-picking this
change makes it possible to point to themed assets with a theme-agnostic
url, notably from MFEs.
- Install all official plugins as part of the `tutor[full]` package.
- Don't print error messages about loading plugins during autocompletion.
- Prompt for image building when upgrading from one release to the next.
- Add `tutor local start --skip-build` option to skip building Docker images.
Close #450.
Close #545.
This introduces quite a few changes to make it easier to run Caddy as a load
balancer in Kubernetes:
- Make it possible to start/stop a selection of resources with ``tutor k8s
start/stop [names...]``.
- Make it easy to deploy an independent LoadBalancer by converting the caddy
service to a NodePort when ``ENABLE_WEB_PROXY=false``.
- Add a ``app.kubernetes.io/component: loadbalancer`` label to the LoadBalancer
service.
- Add ``app.kubernetes.io/name`` labels to all services.
- Preserve the LoadBalancer service in ``tutor k8s stop`` commands.
- Wait for the caddy deployment to be ready before running initialisation jobs.
Close #532.
On some providers (notably: DigitalOcean) NodePort services are not exposed to
the outside world. But this is not what the Kubernetes spec describes:
https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types
Thus, there is a risk that NodePort services are exposed to the outside world
in some context. To avoid this, we convert all NodePort to ClusterIP resources.
