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.
When waiting for pods, it's possible that the deployment may be
complete but, because other pods may have been Evicted or Killed, the
wait wait condition completes.
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>
- [Bugfix] Build openedx-dev Docker image even when the host user is root, for instance on Windows. (by @regisb)
- [Bugfix] Patch nutmeg.1 release with [LTI 1.3 fix](https://github.com/openedx/edx-platform/pull/30716). (by @ormsbee)
- [Improvement] Make it possible to override k8s resources in plugins using `k8s-override` patch. (by @foadlind)
Sometimes, the host user is root: this may happen when tutor is run with
"sudo" (which is not recommended) or on Windows. In such cases, building
the image should not fail, but default to a reasonable user. Also, when
we pass an invalid APP_USER_ID as a build arg, then we should fail with
an explicit message.
See this conversation:
https://discuss.overhang.io/t/problem-with-dev-image-build-useradd-uid-0-is-not-unique/2406
Currently there is no way for plugins to customize Kubernetes resources
defined in Tutor deployment manifests.
This change makes that possible by taking advantage of the strategic
merge patching mechanism in `kustomization.yml`.
Any resource definition in a `k8s-override` patch in a plugin will
override the resource defined by Tutor, provided that their names match.
Reference: https://github.com/overhangio/tutor/pull/675
- [Bugfix] Update problem with hint template so it works with newer python versions. (by @mariajgrimaldi)
- [Feature] Add default PYTHONBREAKPOINT to openedx/Dockerfile (by @Carlos-Muniz)
- [Bugfix] Fix smtp server port in `cms.yml` which was causing email sending failures in the Studio. (by @regisb)
- [Bugfix] Skip waiting for MongoDB if it is served using SRV records. (by @gabor-boros)
- [Improvement] Use `git am` instead of `cherry-pick` to simplify patching process.
- [Improvement] Tutor is now compatible with Docker Compose subcommand.
PYTHONBREAKPOINT has been exposed as an environment variable in
the openedx Dockerfile available to be changed in config.yml. The docs have also been changed to recommend using
breakpoint and explaining how PYTHONBREAKPOINT can be modified to use a
custom debugger.
Close https://github.com/overhangio/2u-tutor-adoption/issues/45
Incorrect format of cms.yml config file was causing the following error on course import:
cms-worker_1 | Traceback (most recent call last):
cms-worker_1 | File "/openedx/edx-platform/cms/djangoapps/cms_user_tasks/tasks.py", line 53, in send_task_complete_email
cms-worker_1 | mail.send_mail(subject, message, from_address, [dest_addr], fail_silently=False)
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/django/core/mail/__init__.py", line 61, in send_mail
cms-worker_1 | return mail.send()
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/django/core/mail/message.py", line 284, in send
cms-worker_1 | return self.get_connection(fail_silently).send_messages([self])
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/django/core/mail/backends/smtp.py", line 102, in send_messages
cms-worker_1 | new_conn_created = self.open()
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/django/core/mail/backends/smtp.py", line 62, in open
cms-worker_1 | self.connection = self.connection_class(self.host, self.port, **connection_params)
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/smtplib.py", line 255, in __init__
cms-worker_1 | (code, msg) = self.connect(host, port)
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/smtplib.py", line 339, in connect
cms-worker_1 | self.sock = self._get_socket(host, port, self.timeout)
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/smtplib.py", line 310, in _get_socket
cms-worker_1 | return socket.create_connection((host, port), timeout,
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/socket.py", line 787, in create_connection
cms-worker_1 | for res in getaddrinfo(host, port, 0, SOCK_STREAM):
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/socket.py", line 918, in getaddrinfo
cms-worker_1 | for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
cms-worker_1 | socket.gaierror: [Errno -8] Servname not supported for ai_socktype
The reason was that the trailing comma "," was interpreted as being part of the email port.
- 💥 [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
Celery workers failed to start in development with the following stacktrace:
cms-worker_1 | Traceback (most recent call last):
cms-worker_1 | File "/openedx/venv/bin/celery", line 8, in <module>
cms-worker_1 | sys.exit(main())
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/__main__.py", line 16, in main
cms-worker_1 | _main()
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/celery.py", line 322, in main
cms-worker_1 | cmd.execute_from_commandline(argv)
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/celery.py", line 499, in execute_from_commandline
cms-worker_1 | super(CeleryCommand, self).execute_from_commandline(argv)))
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/base.py", line 305, in execute_from_commandline
cms-worker_1 | return self.handle_argv(self.prog_name, argv[1:])
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/celery.py", line 491, in handle_argv
cms-worker_1 | return self.execute(command, argv)
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/celery.py", line 415, in execute
cms-worker_1 | return cls(
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/worker.py", line 221, in run_from_argv
cms-worker_1 | *self.parse_options(prog_name, argv, command))
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/base.py", line 428, in parse_options
cms-worker_1 | self.parser = self.create_parser(prog_name, command)
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/base.py", line 440, in create_parser
cms-worker_1 | description=self._format_description(self.description),
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/bin/base.py", line 462, in _format_description
cms-worker_1 | text.fill_paragraphs(text.dedent(description), width))
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/utils/text.py", line 58, in fill_paragraphs
cms-worker_1 | return sep.join(fill(p, width) for p in s.split(sep))
cms-worker_1 | File "/openedx/venv/lib/python3.8/site-packages/celery/utils/text.py", line 58, in <genexpr>
cms-worker_1 | return sep.join(fill(p, width) for p in s.split(sep))
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/textwrap.py", line 391, in fill
cms-worker_1 | return w.fill(text)
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/textwrap.py", line 363, in fill
cms-worker_1 | return "\n".join(self.wrap(text))
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/textwrap.py", line 354, in wrap
cms-worker_1 | return self._wrap_chunks(chunks)
cms-worker_1 | File "/opt/pyenv/versions/3.8.12/lib/python3.8/textwrap.py", line 248, in _wrap_chunks
cms-worker_1 | raise ValueError("invalid width %r (must be > 0)" % self.width)
cms-worker_1 | ValueError: invalid width -2 (must be > 0)
This issue was reported upstream here: https://github.com/celery/celery/issues/6302
It is caused by the `tty: true` statement, for some reason. It will be fixed in
Nutmeg, after celery is upgraded to 5.2.6.
Close #681.
I noticed `pip uninstall -y tutor` will not uninstall the plugins, so I made this PR. I know it's ugly, but I don't find any other way of doing it. Let me know if there are better choices 😊
- [Security] Apply logout redirect url security fix. (by @regisb)
- [Feature] Make it possible to force the rendering of a given template, even when the template path matches an ignore pattern. (by @regisb)
- 💥[Fix] Get rid of the `tutor config render` command, which is useless now that themes can be implemented as plugins. (by @regisb)
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
- [Fix] Truncate site display name to 50 characters with a warning, fixing data too long error for long site names. (by @navinkarkera)
- [Feature] Add patch to allow overriding final openedx docker image CMD.
- [Fix] Ignore Python plugins that cannot be loaded. (by @regisb)
- [Improvement] Faster and more reliable builds with `npm clean-install` instead of `npm install`. (by @regisb. Thanks @ghassanmas!)
- [Fix] Fix 500 error during studio login. (by @regisb)
- [Fix] Fix updates for the Caddy deployment in multi-node Kubernetes clusters (#660). Previously, Caddy configuration updates might fail if the Kubernetes cluster had more than one worker node. (by @fghaas)
When running multiple concurrent versions of a plugin there are sometimes
version conflicts that prevent the plugin from being loaded. Prior to v1, Tutor
was correctly ignoring plugins that could not be loaded. During the transition
to v1 we lost that feature because we only captured TutorErrors.
Now that Tutor is the official community installation for Open edX, it no
longer makes sense to host a forum that is separate from the general Open edX
forum. Moving conversations there will encourage cross-communication between
projects and maintainers. This change is part of a larger overhaul described in
this Tutor enhancement proposal (TEP):
https://discuss.overhang.io/t/tep-rethinking-the-tutor-maintainers-program/2724
In the future, plugin maintainers should point their users to the Open edX
forum as well. They are encouraged to create dedicated "tutor-pluginnname" tags
on the forum and to set their notification level to "watching".
The default user in the mysql container is 'mysql',
so the `mysql` command tries to use the 'mysql' MySQL user by default.
But, in the MySQL dump instructions,
we are providing the MySQL root user's password, so we need
to specify `MYSQL_ROOT_USERNAME` as the MySQL user when invoking `mysql`.
When a Pod associated with a Deployment is updated (for example, due
to a change to its ConfigMap, or an updated image reference),
Kubernetes uses a ReplicaSet to spin up a Pod with the new
configuration, and once it is up, it tears down the old one.
In case of the Caddy Deployment, this is complicated by the fact that
it uses a Persistent Volume Claim (PVC), whose corresponding volume
uses a Read/Write-Once (RWO) configuration. This means that it can
only be used by multiple Pods if all those Pods all run on the same
Kubernetes worker node.
In order to enable rolling upgrades for the Caddy Deployment, we need
to ensure that its replacement Pod is scheduled on the same node as
the original Pod.
Thus, add a pod affinity rule that will force exactly that behavior.
Reference:
https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
The other Tutor services that use volumes (MySQL, Redis, Elasticsearch
and MongoDB) do not need this fix, since they all use the "Recreate"
deployment strategy: their Pods are all automatically torn down before
being replaced. This strategy is not needed for Caddy, and using a pod
affinity rule is less disruptive to the learner experience.
