in some cases, tutor might run inside a pod, which that pod has access to a cluster via role binding and a service account. this way, there's no ./kube/config file, but kubectl commands run with no issue.
Close #843
Installing from source triggers a warning on pip 23.0.1 if
pyproject.toml is not present. Building does not require any special
dependencies, so we just add a simple pyproject.toml file.
Close #836
This is useful when the generation of a macOS binary has failed, for
instance.
In addition, we restore checking for the `gh` utility. This is necessary
when running CI locally with `act`.
In addition, we cache pip dependencies on github release and test runs.
This paves the way for `docker buildx build` and better caching.
For instance, with this change you can try out the following plugin,
which should make image building much faster in CI:
https://gist.github.com/regisb/4049622ec4b48cbd48c89ec708dc5252
(not ready for production just yet, we still need to build and push the
images)
In the output of `plugins list` it's difficult to see which plugins are
enabled at a glance. This change adds a more visible checkmark to the
output.
Ex:
$ tutor plugins list
NAME STATUS VERSION
cairn ✅ enabled 15.0.3
discovery installed 15.0.0
ecommerce installed 15.0.1
forum installed 14.0.0
mfe ✅ enabled 15.0.5
minio installed 15.1.0
Before this commit, setting up an edx-platform development environment
took multiple steps:
tutor dev launch
tutor dev run --mount=/path/to/edx-platform lms bash
>> pip install -e .
>> npm clean-install
>> openedx-assets build --env=dev
This commit moves the steps under ``run`` into an init task, which
is automatically run by ``launch``. Thus, setup is now one command:
tutor dev launch --mount=edx-platform
These extra init steps are only applicable when bind-mounting
edx-platform (because bind-mounting the repository overrides
some important artifacts that exist on the image, which must be
re-generated). Thus, the new init tasks exists early if it detects
that it is *not* operating on a bind-mounted repository.
Finally, we try to simplify the Open edX development docs so that
it is clearer how bind-mounting fits into the development process.
These bind-mounts:
* ../build/openedx/themes:/openedx/themes
* ../build/openedx/requirements:/openedx/requirements
existed in the dev lms and cms containers, but they did
not exist in the lms-job and cms-job containers.
This means that themes and requirements that were *built into the
image* would exist in the job containers, but live updates to the
themes and requirements would not apply.
To resolve this, we set ``volumes:`` on the lms-job and cms-job
services so that they match the volumes for the normal lms and
cms services.
Part of: https://github.com/openedx/wg-developer-experience/issues/146
Closes: https://github.com/openedx/wg-developer-experience/issues/152
This works around (but does not close) these related issues:
* https://github.com/openedx/wg-developer-experience/issues/150
* https://github.com/openedx/wg-developer-experience/issues/151
The lms-job and cms-job services were configured to use
{{ DOCKER_IMAGE_OPENEDX }} rather than {{ DOCKER_IMAGE_OPENEDX_DEV }}.
This means that when running jobs in dev mode, a la:
tutor dev do init
a production image would be used, to the user's surprise.
On some OS, high ulimit causes some container to use a lot of memory. We
do not attempt to resolve this issue in Tutor because this is a
mysql/uwsgi issue. Instead, we explain how to resolve it in the
troubleshooting docs.
Close #671.
When a job is invoked, we now replace the job in k8s/jobs.yml
instead of rewriting jobs.yml to only contain the relevant
job. This allows patchStrategicMerge to work for jobs.
We implement this TEP: https://discuss.openedx.org/t/tutor-enhancement-proposal-tep-plugin-indices/8182
With plugin indexes, tutor users can install and upgrade plugins directly from indexes:
tutor plugins install ecommerce
tutor plugins index add contrib
tutor plugins install codejail
tutor plugins upgrade all
This change has been long in the coming \o/
Unfortunately, previous reqs upgrade was not compatible with python 3.7
because isort dropped support for that "almost EOL" version:
https://github.com/PyCQA/isort/pull/2064
