Add `tutor dev quickstart` command, which is equivalent to
`tutor local quickstart`, but uses dev containers instead
of local production ones and includes some other small
differences for the convience of Open edX developers.
This should remove some friction
from the Open edX development setup process, which previously
required that users provision using local producation
containers but then stop them and switch to dev containers:
* tutor local quickstart
* tutor local stop
* tutor dev start -d
Document the command and its improved workflow in
./docs/tutorials/nightly.rst
Fixes overhangio/2u-tutor-adoption#58
The entrypoint in the "openedx" Docker image was used only to define the
DJANGO_SETTINGS_MODULE environment variable, based on SERVICE_VARIANT and
SETTINGS. We ditch SETTINGS in favour of defining explicitely
DJANGO_SETTINGS_MODULE.
The problem with the Docker entrypoint is that it was bypassed whenever we ran
`tutor local exec` or `tutor k8s exec`. By removing it we make it simpler for
end-users to run manage.py commands in kubernetes.
Previously, it was possible to override settings by defining the
TUTOR_EDX_PLATFORM_SETTINGS environment variable. But let's face it:
- It was not very well supported.
- It was poorly explained.
- It was not very useful.
- It causes unnecessary code complexity.
For these reasons, we drop that feature.
This is a very large refactoring which aims at making Tutor both more
extendable and more generic. Historically, the Tutor plugin system was
designed as an ad-hoc solution to allow developers to modify their own
Open edX platforms without having to fork Tutor. The plugin API was
simple, but limited, because of its ad-hoc nature. As a consequence,
there were many things that plugin developers could not do, such as
extending different parts of the CLI or adding custom template filters.
Here, we refactor the whole codebase to make use of a generic plugin
system. This system was inspired by the Wordpress plugin API and the
Open edX "hooks and filters" API. The various components are added to a
small core thanks to a set of actions and filters. Actions are callback
functions that can be triggered at different points of the application
lifecycle. Filters are functions that modify some data. Both actions and
filters are collectively named as "hooks". Hooks can optionally be
created within a certain context, which makes it easier to keep track of
which application created which callback.
This new hooks system allows us to provide a Python API that developers
can use to extend their applications. The API reference is added to the
documentation, along with a new plugin development tutorial.
The plugin v0 API remains supported for backward compatibility of
existing plugins.
Done:
- Do not load commands from plugins which are not enabled.
- Load enabled plugins once on start.
- Implement contexts for actions and filters, which allow us to keep track of
the source of every hook.
- Migrate patches
- Migrate commands
- Migrate plugin detection
- Migrate templates_root
- Migrate config
- Migrate template environment globals and filters
- Migrate hooks to tasks
- Generate hook documentation
- Generate patch reference documentation
- Add the concept of action priority
Close #499.
MySQL 8 drop the support for creating users by executing `GRANT ALL`. This commit splits the user creation and permission granting, therefore the newer MySQL versions are supported too.
MySQL 8 is supported by edx-platform: 1cdb0347c5/playbooks/roles/mysql/tasks/mysql.yml (L93-L98)
PR #619 set the EDX_PLATFORM_VERSION build arg's default to
OPENEDX_COMMON_VERSION. While this works fine for setting a
non-default branch to run edx code from (say, "master"), it may break
if the user sets OPENEDX_COMMON_VERSION to a branch or tag name that
does not exist upstream in repositories *other than*
EDX_PLATFORM_REPOSITORY.
Thus, introduce a separate configuration parameter,
EDX_PLATFORM_VERSION, to match the build arg of the same name. Set its
default to OPENEDX_COMMON_VERSION.
This way, the user can deploy an arbitrarily-named fork of
edx-platform, while retaining the default OPENEDX_COMMON_VERSION
(like, for example "open-release/maple.3") for everything else.
Previously, the `k8s exec` command did not support unknown "--options". This
made it impossible to launch, say, a django shell in the lms container.
While implementing this feature we saw an opportunity to simplify the way jobs
are handled in the k8s commands.
Close #636.
Another related issue is: https://github.com/overhangio/2u-tutor-adoption/issues/52
The docs recommend commands like:
pip install tutor[full]
pip install -e ./tutor[full]
for installing Tutor. These work fine in bash. For zsh,
though, which is now the default on macOS, quotes are
needed, otherwise zsh will interpret the brackets as
special syntax:
pip install "tutor[full]"
pip install -e "./tutor[full]"
Caveat: I have not tested this myself since I don't
own a Mac, but I've read several issue reports to this
effect, such as:
https://github.com/pypa/pipenv/issues/2830#issuecomment-419593199
The full installation will include all the plugins that
come bundled with Tutor stable. This is made possible by
a recent change to Tutor Nightly
(https://github.com/overhangio/tutor/pull/626).
- [Security] Apply SAML security fix.
- [Improvement] In addition to the Docker build arguments
`EDX_PLATFORM_REPOSITORY` and `NPM_REGISTRY`, also support two corresponding
and identically-named `config.yml` values serving the same purpose.
Previously, the only way for Tutor users to use a fork of edx-platform
or a custom NPM registry was to use build args during the image build.
This is suboptimal in the case of automatically building images from
CI pipelines, which may want to auto-detect when an image needs to be
rebuilt based on config.yml changes.
In addition, the EDX_PLATFORM_VERSION build argument can already be
set via a corresponding config.yml parameter (OPENEDX_COMMON_VERSION),
so it's reasonable to follow that precedent and also introduce
config.yml parameters to correspond with the EDX_PLATFORM_REPOSITORY
and NPM_REGISTRY build arguments.
Thus, introduce two new configuration parameters:
- EDX_PLATFORM_REPOSITORY
- NPM_REGISTRY
These parameters can now optionally be used instead of the
aforementioned build args.
For Tutor Nightly (and only Nightly), official plugins are now installed
from their nightly branches on GitHub instead of a version range on
PyPI. This will allow Nightly users to install all official plugins by
running:
pip install -e ".[full]"
Notes:
* We use the syntax `EGG @ git+REPO@nightly` because the
more common syntax of `git+REPO@nightly#egg=EGG` does not work
when supplied to setup.py's extras_require.
* Unlike other plugins, tutor-license is still installed from PyPI,
but without any version constraint. This is because tutor-license
is a simple, closed-source plugin which activates Wizard edition
for subscribers. It should be available in Nightly but doesn't
need to be installed from its own bleeding-edge branch.
* Unlike most nightly commits, this commit should NOT ever be
reflected on master. When it comes time to merge nightly into
master during the release of Nutmeg, this commit will need to
be manually reverted from master.
* Documentation updates have been made separately so that they
can be merged into master.
The version of the nightly python package should not include the "-nightly"
suffix. That's because when we `pip install -e` tutor plugins, pip also
installs the latest tutor release, as part of the requirements. This overrides
the local (nightly) installation of tutor.
See: https://app.slack.com/client/T02SNA1T6/C02V3GHE3UP
Before edx-platform was upgraded to Celery 5, lms-worker and
cms-worker could be invoked using this syntax:
celery worker --app=APP <args> --maxtasksperchild=N <args>
Since the recent Celery 5 upgrade (edx-platform commit 0588c92),
though, this fails with the messages:
You are using `--app` as an option of the worker sub-command:
celery worker --app celeryapp <...>
The support for this usage was removed in Celery 5.0.
Instead you should use `--app` as a global option:
celery --app celeryapp worker <...>
and:
Error: No such option: --maxtasksperchild
(Possible options: --max-memory-per-child, --max-tasks-per-child)
So, this commit changes the lms-worker and cms-worker invocations to:
celery --app=APP <args> --max-tasks-per-child=N <args>
- [Bugfix] Fix dockerize on arm64 by switching to the [powerman/dockerize](https://github.com/powerman/dockerize) fork (#591).
- [Bugfix] Fix "Unexpected args" error during service initialization on Kubernetes (#611).
