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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
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.. _troubleshooting:
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Troubleshooting
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===============
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What should you do if you have a problem?
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1. Read the error logs that appear in the console. When running a single server platform as daemon, you can view the logs with the ``docker-compose logs`` command. (see :ref:`logging` below)
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2. Check if your problem already has a solution right here in the :ref:`troubleshooting` section.
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3. Search for your problem in the `open and closed Github issues <https://github.com/overhangio/tutor/issues?utf8=%E2%9C%93&q=is%3Aissue>`_.
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4. Search for your problem in the `community forums <https://discuss.overhang.io>`__.
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5. If, despite all your efforts, you can't solve the problem, you may want to first discuss it in the `community forums <https://discuss.overhang.io>`__. Please give as much details about your problem as possible! As a rule of thumb, people will not dedicate more time to solving your problem than you took to write your question.
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6. If you have a technical background, you may try to decide if the issue is related to Open edX or if it's specific to Tutor. In the latter case, you are most welcome to open an `issue on Github <https://github.com/overhangio/tutor/issues/new>`_. **Please follow the instructions from the issue template!!!** Your issue will be examined in all cases, but you can make our life much easier by giving us as much background information as possible.
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Do you need professional assistance with your tutor-managed Open edX platform? Overhang.IO offers online support as part of its `Long Term Support (LTS) offering <https://overhang.io/tutor/lts>`__.
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.. _logging:
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Logging
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-------
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.. note::
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Logs are of paramount importance for debugging Tutor. When asking for help on the `Tutor forums <https://discuss.overhang.io>`__, **you should always include the unedited logs of your app**. You can get those with::
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tutor local logs --tail=100 -f
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To view the logs from all containers use the ``tutor local logs`` command, which was modeled on the standard `docker-compose logs <https://docs.docker.com/compose/reference/logs/>`_ command::
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tutor local logs --follow
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To view the logs from just one container, for instance the web server::
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tutor local logs --follow nginx
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The last commands produce the logs since the creation of the containers, which can be a lot. Similar to a ``tail -f``, you can run::
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tutor local logs --tail=0 -f
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If you'd rather use a graphical user interface for viewing logs, you are encouraged to try out :ref:`Portainer <portainer>`.
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.. _webserver:
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"Cannot start service nginx: driver failed programming external connectivity"
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-----------------------------------------------------------------------------
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The containerized Nginx needs to listen to ports 80 and 443 on the host. If there is already a webserver, such as Apache or Nginx, running on the host, the nginx container will not be able to start. To solve this issue, check the section on :ref:`how to setup a web proxy <web_proxy>`.
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"Couldn't connect to docker daemon"
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-----------------------------------
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This is not an error with Tutor, but with your Docker installation. This is frequently caused by a permission issue. Before running Tutor, you should be able to run::
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docker run --rm hello-world
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If the above command does not work, you should fix your Docker installation. Some people will suggest to run Docker as root, or with ``sudo``; **do not do this**. Instead, what you should probably do is to add your user to the "docker" group. For more information, check out the `official Docker installation instructions <https://docs.docker.com/install/linux/linux-postinstall/#manage-docker-as-a-non-root-user>`__.
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.. _migrations_killed:
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"Running migrations... Killed!" / "Command failed with status 137: docker-compose"
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----------------------------------------------------------------------------------
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Open edX requires at least 4 GB RAM, in particular to run the SQL migrations. If the ``tutor local quickstart`` command dies after displaying "Running migrations", you most probably need to buy more memory or add swap to your machine. On Docker for Mac OS, by default, containers are allocated at most 2 GB of RAM. You should follow `these instructions from the official Docker documentation <https://docs.docker.com/docker-for-mac/#advanced>`__ to allocate at least 4-5 Gb to the Docker daemon.
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If migrations were killed halfway, there is a good chance that the MySQL database is in a state that is hard to recover from. The easiest way to recover is simply to delete all the MySQL data and restart the quickstart process. After you have allocated more memory to the Docker daemon, run::
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tutor local stop
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sudo rm -rf "$(tutor config printroot)/data/mysql"
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tutor local quickstart
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.. warning::
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THIS WILL ERASE ALL YOUR DATA! Do not run this on a production instance. This solution is only viable for new Open edX installations.
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Help! The Docker containers are eating all my RAM/CPU/CHEESE
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------------------------------------------------------------
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You can identify which containers are consuming most resources by running::
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docker stats
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"Build failed running pavelib.servers.lms: Subprocess return code: 1"
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-----------------------------------------------------------------------
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::
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python manage.py lms print_setting STATIC_ROOT 2>/dev/null
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...
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Build failed running pavelib.servers.lms: Subprocess return code: 1`"
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This might occur when you run a ``paver`` command. ``/dev/null`` eats the actual error, so you will have to run the command manually. Run ``tutor dev shell lms`` (or ``tutor dev shell cms``) to open a bash session and then::
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python manage.py lms print_setting STATIC_ROOT
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The error produced should help you better understand what is happening.
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"ValueError: Unable to configure handler 'local'"
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---------------------------------------------------
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::
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ValueError: Unable to configure handler 'local': [Errno 2] No such file or directory
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This will occur if you try to run a development environment without patching the LOGGING configuration, as indicated in the `development_` section. Maybe you correctly patched the development settings, but they are not taken into account? For instance, you might have correctly defined the ``EDX_PLATFORM_SETTINGS`` environment variable, but ``paver`` uses the ``devstack`` settings (which does not patch the ``LOGGING`` variable). This is because calling ``paver lms --settings=development`` or ``paver cms --settings=development`` ignores the ``--settings`` argument. Yes, it might be considered an edx-platform bug... Instead, you should run the ``update_assets`` and ``runserver`` commands, as explained above.
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The chosen default language does not display properly
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-----------------------------------------------------
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By default, Open edX comes with a `limited set <https://github.com/edx/edx-platform/blob/master/conf/locale/config.yaml>` of translation/localization files. To complement these languages, we add locales from the `openedx-i18n project <https://github.com/openedx/openedx-i18n/blob/master/edx-platform/locale/config-extra.yaml>`_. But not all supported locales are downloaded. In some cases, the chosen default language will not display properly because if was not packaged in either edx-platform or openedx-i18n. If you feel like your language should be packaged, please `open an issue on the openedx-i18n project <https://github.com/openedx/openedx-i18n/issues>`_.
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When I make changes to a course in the CMS, they are not taken into account by the LMS
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--------------------------------------------------------------------------------------
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This issue should only happen in development mode. Long story short, it can be solved by creating a Waffle switch with the following command::
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tutor dev run lms ./manage.py lms waffle_switch block_structure.invalidate_cache_on_publish on --create
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If you'd like to learn more, please take a look at `this Github issue <https://github.com/overhangio/tutor/issues/302>`__. |