Now that the mypy bugs have been resolved, we are able to define more precisely
and cleanly the types of Actions and Filters.
Moreover, can now strongly type named actions and hooks (in consts.py). With
such a strong typing, we get early alerts of hooks called with incorrect
arguments, which is nothing short of awesome :)
This change breaks the hooks API by removing the `context=...` argument. The
reason for that is that we cannot insert arbitrary arguments between `P.args,
P.kwargs`: https://peps.python.org/pep-0612/#the-components-of-a-paramspec
> A function declared as def inner(a: A, b: B, *args: P.args, **kwargs:
> P.kwargs) -> R has type Callable[Concatenate[A, B, P], R]. Placing
> keyword-only parameters between the *args and **kwargs is forbidden.
Getting the documentation to build in nitpicky mode is quite difficult... We
need to add `nitpick_ignore` to the docs conf.py, otherwise sphinx complains
about many missing class references. This, despite upgrading almost all doc
requirements (except docutils).
The -m/--mount option makes it possible to bind-mount volumes at runtime. The
volumes are declared in a local/docker-compose.tmp.yml file. The problem with
this approach is when we want to bind-mount a volume to a service which is
specific to the dev context. For instance: the "learning" service when the MFE
plugin is enabled.
In such a case, starting the service triggers a call to `docker-compose stop`
in the local context. This call fails because the "learning" service does not
exist in the local context. Note that this issue only seems to occur with
docker-compose v1.
To resolve this issue, we create two additional filters for
the dev context, which emulate the behaviour of the local context. With this approach, we convert the -m/--mount arguments right after they are parsed. Because they are parsed just once, we can get rid of the de-duplication logic initially introduced with the COMPOSE_CLI_MOUNTS context.
Close #711. Close also https://github.com/overhangio/tutor-mfe/issues/57.
Whenever Tutor executes a shell command, it logs out said
command in order to aid in end user understanding/debugging.
In some cases (notably, when running jobs in containers)
the logged command was not accurately quoted. The command
was run correctly, because it was passed in pieces to
``subprocess.Popen``, which correctly joins the pieces together
into a valid POSIX shell command; however, the logged version
of the command was constructed by simply joining the pieces
with spaces. This usually works, but breaks down when running
complex shell commands with nested quoting.
This commit changes the logging to use ``shlex.join``, which
joins command pieces together in a POSIX-compliant way,
presumably the same way as ``subprocess.Popen``.
Example:
tutor local importdemocourse
runs the shell command:
docker-compose -f /home/kyle/.local/share/tutor/env/local/docker-compose.yml -f /home/kyle/.local/share/tutor/env/local/docker-compose.prod.yml -f /home/kyle/.local/share/tutor/env/local/docker-compose.tmp.yml --project-name tutor_local -f /home/kyle/.local/share/tutor/env/local/docker-compose.jobs.yml -f /home/kyle/.local/share/tutor/env/local/docker-compose.jobs.tmp.yml run --rm cms-job sh -e -c 'echo "Loading settings $DJANGO_SE... (several more script lines) ...eindex_course --all --setup'
but the logged shell command was:
docker-compose -f /home/kyle/.local/share/tutor/env/local/docker-compose.yml -f /home/kyle/.local/share/tutor/env/local/docker-compose.prod.yml -f /home/kyle/.local/share/tutor/env/local/docker-compose.tmp.yml --project-name tutor_local -f /home/kyle/.local/share/tutor/env/local/docker-compose.jobs.yml -f /home/kyle/.local/share/tutor/env/local/docker-compose.jobs.tmp.yml run --rm cms-job sh -e -c echo "Loading settings $DJANGO_SE... (several more script lines) ...eindex_course --all --setup
which will not run if copied and pasted back into the
user's terminal, as the importdemocourse shell script is unquoted.
In certain code paths, such as in `tutor local quickstart`,
`process_mount_points` is called more than once in the same process,
causing mounts to be added to `COMPOSE_LOCAL[_JOBS]_TMP` redundantly.
As a result, docker-compose[.jobs].tmp.yml was occasionally being
rendered with duplicate volume specifiers. Some versions of Docker
Compose ignored this; other versions warned or threw an error.
In order to make `process_mount_points` tolerant to being called
multiple times, we wrap its volume-adding callbacks within a new
hooks context. This allows us to clear said hooks context every
time `process_mount_points` is called, essentially making the
function idempotent.
Co-authored-by: Régis Behmo <regis@behmo.com>
- 💥 [Feature] Upgrade to Nutmeg: (by @regisb)
- 💥 [Feature] Persistent grades are now enabled by default.
- [Bugfix] Remove edX references from bulk emails ([issue](https://github.com/openedx/build-test-release-wg/issues/100)).
- [Improvement] 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]"``.
- [Bugfix] Start MongoDB when running migrations, because a new data migration fails if MongoDB is not running
When rendering theme files in a plugin, the *.scss files are stored in a
"partials" subdirectory, which was ignored by the environment rendering logic.
To render these files, we move the path ignoring logic to a filter, which is a
list of regular expressions. Values in this filter can be overridden by another
filter.
See the corresponding issue in the indigo theme plugin:
https://github.com/overhangio/tutor-indigo/issues/24
`copyfrom` copies data from a container to the local filesystem. It's similar
to bindmount, but less clunky, and more intuitive. Also, it plays along great
with `--mount`. Eventually we'll just get rid of the `bindmount` command and
the `--volume` option.
When a v1 plugin was installed, several things were happening regarding tests:
1. v1 plugin loading was happening despite the TUTOR_IGNORE_ENTRYPOINT_PLUGINS
environment variable.
2. the CORE_READY event was not triggered because it was happening just once at
import time.
This was causing some tests to incorrectly load the MFE plugin.
The `--mount` option is available both with `tutor local`
and `tutor dev` commands. It allows users to easily bind-mount containers from
the host to containers. Yes, I know, we already provide that possibility with
the `bindmount` command and the `--volume=/path/` option. But these suffer from
the following drawbacks:
- They are difficult to understand.
- The "bindmount" command name does not make much sense.
- It's not convenient to mount an arbitrary folder from the host to multiple
containers, such as the many lms/cms containers (web apps, celery workers and
job runners).
To address this situation, we now recommend to make use of --mount:
1. `--mount=service1[,service2,...]:/host/path:/container/path`: manually mount
`/host/path` to `/container/path` in container "service1" (and "service2").
2. `--mount=/host/path`: use the new v1 plugin API to discover plugins that
will detect this option and select the right containers in which to bind-mount
volumes. This is really nifty...
Close https://github.com/overhangio/2u-tutor-adoption/issues/43
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.
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.
`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.
Previously, configuration management was very confusing because we kept mixing
"base" and "defaults" configuration:
- It was difficult to make the difference between core settings that were
necessary (e.g: passwords) as opposed to others that could simply be
defaulted to.
- The order of settings in config.yml mattered: config entries that depended on
other needed to be defined later. As a consequence, Tutor was not compatible
with Python 3.5, where dict entries are not sorted.
When disable a plugin that set config entried, such as the minio plugin, tutor was logging the following:
Disabling plugin minio...
Removed config entry OPENEDX_AWS_ACCESS_KEY=openedx
Removed config entry OPENEDX_AWS_SECRET_ACCESS_KEY={{ MINIO_AWS_SECRET_ACCESS_KEY }}
Plugin disabled
The config values were not rendered during printing, which is a shame, because
the whole point of this log line is to warn users of passwords/secrets that are
being removed. Here, we make sure that the config values are properly rendered.
The new logs are now:
Disabling plugin minio...
Removing config entry OPENEDX_AWS_ACCESS_KEY=openedx
Removing config entry OPENEDX_AWS_SECRET_ACCESS_KEY=64vpCVLxhDxBuNjakSrX4CQg
Plugin disabled
We were forced to pin click to < v8 because of missing dependencies. In
particular, click_repl was broken. This is no longer the case, as click_repl
0.20 was published. Also, Jinja2 now includes type annotations, which allows us
to get rid of a few "# type: ignore" statements.
We take the opportunity to upgrade all requirements, which allows us resolve a
security issue on urllib3<1.26.0.
When running `tutor local quickstart -p` we were getting the following error:
Usage: custom [OPTIONS] ARGS...
Try 'custom --help' for help.
Error: Missing argument 'ARGS...'.
The docker-compose command sometimes accept a single command ("pull") with zero
argument.
See: https://discuss.overhang.io/t/local-quickstart-not-working-when-pullimages-enabled/1526
I stumbled upon a bug that should have been detected by the type
checking. Turns out, considering that config is of type Dict[str, Any]
means that we can use just any method on all config values -- which is
terrible. I discovered this after I set `config["PLUGINS"] = None`:
this triggered a crash when I enabled a plugin.
We resolve this by making the Config type more explicit. We also take
the opportunity to remove a few cast statements.
When the PLUGINS config entry is None (`PLUGINS:`), the following error
was being triggered:
File "/.../tutor/tutor/plugins.py",
line 304, in is_enabled
return name in config.get(CONFIG_KEY, [])
TypeError: argument of type 'NoneType' is not iterable
Annotations were generated with pyannotate:
https://github.com/dropbox/pyannotate
We are running in strict mode, which is awesome!
This affects a large part of the code base, which might be an issue for
people running a fork of Tutor. Nonetheless, the behavior should not be
affected. If anything, this process has helped find and resolve a few
type-related bugs. Thus, this is not considered as a breaking change.
This introduces a new dev/local command:
tutor dev bindmount CONTAINER PATH
And a new volume syntax:
tutor dev run --volume=PATH CONTAINER
This syntax automatically bind-mounts folders from the tutorroot/volumes
directory, which is pretty nifty.
- 💥[Improvement] Upgrade Open edX to Koa
- 💥 Setting changes:
- The ``ACTIVATE_HTTPS`` setting was renamed to ``ENABLE_HTTPS``.
- Other ``ACTIVATE_*`` variables were all renamed to ``RUN_*``.
- The ``WEB_PROXY`` setting was removed and ``RUN_CADDY`` was added.
- The ``NGINX_HTTPS_PORT`` setting is deprecated.
- Architectural changes:
- Use Caddy as a web proxy for automated SSL/TLS certificate generation:
- Nginx no longer listens to port 443 for https traffic
- The Caddy configuration file comes with a new ``caddyfile`` patch for much simpler SSL/TLS management.
- Configuration files for web proxies are no longer provided.
- Kubernetes deployment no longer requires setting up a custom Ingress resource or custom manager.
- Gunicorn and Whitenoise are replaced by uwsgi: this increases boostrap performance and makes it no longer necessary to mount media folders in the Nginx container.
- Replace memcached and rabbitmq by redis.
- Additional features:
- Make it possible to disable all plugins at once with ``plugins disable all``.
- Add ``tutor k8s wait`` command to wait for a pod to become ready
- Faster, more reliable static assets with local memory caching
- Deprecation: proxy files for Apache and Nginx are no longer provided out of the box.
- Removed plugin `{{ patch (...) }}` statements:
- "https-create", "k8s-ingress-rules", "k8s-ingress-tls-hosts": these are no longer necessary. Instead, declare your app in the "caddyfile" patch.
- "local-docker-compose-nginx-volumes": this patch was primarily used to serve media assets. The recommended is now to serve assets with uwsgi.
Tutor was making many calls to iter_installed (~100 on my machine with a
dozen installed plugins). Turns out it's useless to cache Plugin and
Renderer instances, as the config keeps changing all the time. Instead,
we cache the list of installed plugins, which does not change in the
course of a single run.
On my machine this speeds up `tutor config save` by 5x, going from 7.5s
to 1.3s.
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
Running jobs was previously done with "exec". This was because it
allowed us to avoid copying too much container specification information
from the docker-compose/deployments files to the jobs files. However,
this was limiting:
- In order to run a job, the corresponding container had to be running.
This was particularly painful in Kubernetes, where containers are
crashing as long as migrations are not correctly run.
- Containers in which we need to run jobs needed to be present in the
docker-compose/deployments files. This is unnecessary, for example when
mysql is disabled, or in the case of the certbot container.
Now, we create dedicated jobs files, both for local and k8s deployment.
This introduces a little redundancy, but not too much. Note that
dependent containers are not listed in the docker-compose.jobs.yml file,
so an actual platform is still supposed to be running when we launch the
jobs.
This also introduces a subtle change: now, jobs go through the container
entrypoint prior to running. This is probably a good thing, as it will
avoid forgetting about incorrect environment variables.
In k8s, we find ourselves interacting way too much with the kubectl
utility. Parsing output from the CLI is a pain. So we need to switch to
the native kubernetes client library.
