This is done by explicitely listing job dependencies. Unfortunately,
it's not yet possible to move `init` before `start` in `quickstart`,
because some services, such as discovery, depend on the LMS, which takes
a few seconds to boot up. Actually, discovery also depends on ngins, as
it points to "local.overhang.io" when referring to the lms.
- [Bugfix] Upgrade all services to open-release/juniper.3
- [Bugfix] Fix upload of video transcripts to S3
- [Improvement] Memorize whether the user is running a production
platform during interactive configuration
- [Bugfix] Fix incorrect loading of some resources from localhost:18000
in development
- [Bugfix] Fix Samesite=None Secure=False cookie error for users
accessing the LMS with the latest release of Google Chrome
- [Security] Apply javascript security patch ([pull
request](https://github.com/edx/edx-platform/pull/24762))
- [Bugfix] Fix "FileError" on Scorm package upload in Scorm XBlock
- 💥[Improvement] Serve openedx static assets with
[whitenoise](http://whitenoise.evans.io/en/stable/) instead of nginx.
This removes the `k8s-deployments-nginx-init-containers` patch. Plugins
are encouraged to implement static asset serving with Whitenoise as
well.
- [Bugfix] Fix dependency on mysql service when mysql is not activated
- [Improvement] Improve openedx Docker image build time and size with
multi-stage build
- 💥[Feature] Get rid of outdated sysadmin dashboard in LMS at /sysadmin
In the LMS, some resources where loaded from localhost:18000. For
instance: http://localhost:18000/static/images/logo.png
This was due to the fact that the LMS_BASE, LMS_ROOT_URL and thus
SITE_NAME settings are overwritten by the devstack settings, so we need
to define them again in development.
This drastically simplifies volume management, as it is no longer
necessary to manually copy static assets from the docker image to the
bind-mounted volume.
This deprecates the "k8s-deployments-nginx-init-containers" patch, as we
no longer need to init the nginx container. Plugins are encouraged to
start using whitenoise as well for serving static assets.
TODO:
- test media serving: DOES NOT WORK. Whitenoise was designed to serve a
fixed list of static files. Godammit.
- compare performances
This reduces the size of the final image from 3.25Gb to 2.8Gb. Also, it
should be faster to rebuild the image in most cases. For instance, we
will not have to re-install nodejs requirements after part of the
edx-platform repo was modified.
- [Security] Apply edx-platform upstream xss security fixes ([pull
request](https://github.com/edx/edx-platform/pull/24568))
- 💥[Feature] Make it possible to override the docker registry for just
a few services by setting `DOCKER_IMAGE_SERVICENAME` values.
Previously, it was not possible to override the docker registry for just
one or a few services. Setting the DOCKER_REGISTRY configuration
parameter would apply to all images. This was inconvenient. To resolve
this, we include the docker registry value in the DOCKER_IMAGE_*
configuration parameters. This allows users to override the docker
registry individually by defining the DOCKER_IMAGE_SERVICENAME
configuration parameter.
See https://discuss.overhang.io/t/kubernetes-ci-cd-pipeline/765/3
The dashboard is available at /sysadmin. It's a CRUD interface for
managing users and courses.
Enabling this interface required that the DATA_DIR setting was not a
string, but a Path object.
Close #353.
In k8s, creating a user is an interactive command, so it needs to run in
exec. Thus, the DJANGO_SETTINGS_MODULE needs to be defined for this
command.
Close #344
Half of the tasks from edx.lms.core.default celery queue were being
processed by the CMS worker. Unfortunately, this CMS worker crashes on
some of those tasks. For instance, activation emails complain of a
missing "django_markup" template tag library because "xss_utils" is not
part of the installed app in the CMS.
The problem is that we need this edx.lms.core.default queue to be part
of the CELERY_QUEUES in the cms in order to send tasks from the CMS to
the LMS. The trick to resolve this situation is to ask the CMS celery
worker to not process the tasks from this queue.
To debug this issue, run in the LMS:
from student.tasks import send_activation_email
send_activation_email("{}")
Then watch the logs of the lms and cms workers. If the CMS workers picks
up this task (50% of the time prior to this change) then we have an
issue.
See:
https://discuss.overhang.io/t/reset-password-email-sent-but-activation-email-dont/690
"tutor ui" was failing miserably, printing a lot of garbled characters
in the shell. In fact, a FileNotFound error was being raised and
automatically caught by the ui command. When removing the catch all,
this was the error that was raised:
FileNotFoundError: [Errno 2] No such file or directory:
'/tmp/_MEIimsqmq/wcwidth/version.json' │
This is resolved on SO:
https://stackoverflow.com/questions/62155242/pyinstaller-cant-find-wcwidth-version-json-when-running-executable
This was due to incorrectly loading the coursewarehistoryextended in the
installed applications. Also, the database router in charge of routing
requests to the student_history_module database must be disabled.
In CI, the webpack-stats.json file sometimes contains just:
{"status":"compiling"}
This was due to the fact that the `subprocess.call(...)` command in
openedx-assets did not check whether the command was killed -- for lack
of memory for instance. This is resolved by replacing "call(...)" by
"check_call(...)".
Here, we upgrade the Open edX platform from Ironwood to Juniper. This
upgrade does not come with many feature changes, but there are many
technical improvements under the hood:
- Upgrade from Python 2.7 to 3.5
- Upgrade from Mongodb v3.2 to v3.6
- Upgrade Ruby to 2.5.7
We took the opportunity to completely rething the way locally running
platforms should be accessed for testing purposes. It is no longer
possible to access a running platform from http://localhost and
http://studio.localhost. Instead, users should access
http://local.overhang.io and https://studio.local.overhang.io. This
drastically simplifies internal communication between Docker containers.
To upgrade, users should simply run:
tutor local quickstart
For Kubernetes platform, the upgrade process is outlined when running:
tutor k8s upgrade --from=ironwood
