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90 lines
4.2 KiB
ReStructuredText
90 lines
4.2 KiB
ReStructuredText
.. _install:
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Install Tutor
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=============
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Requirements
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------------
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The only prerequisite for running this is a working Docker installation. You'll need both the ``docker`` and ``docker-compose`` commands in your system ``$PATH``. Follow the instructions from the official documentation:
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- `Docker <https://docs.docker.com/engine/installation/>`__: v18.06.0+
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- `Docker Compose <https://docs.docker.com/compose/install/>`__: v1.22.0+
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.. warning::
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Do not attempt to simply run ``apt-get install docker docker-compose`` on older Ubuntu platforms, such as 16.04 (Xenial), as you will get older versions of these utilities.
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Note that the production web server container will bind to port 80 and 443, so if there a web server is running on the same server (Apache or Nginx, for instance), it should be stopped prior to running Tutor. Check the section on :ref:`how to setup a web proxy <web_proxy>` for a workaround.
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With Tutor, Open edX can run on any platform that supports Docker, including Mac OS and Windows. Tutor was tested under various versions of Ubuntu and Mac OS.
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At a minimum, the server running the containers should have 4 Gb of RAM. With less memory, the deployment procedure might crash during migrations (see the :ref:`troubleshooting <migrations_killed>` section) and the platform will be unbearably slow.
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.. note::
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On Mac OS, by default, containers are allocated 2 GB of RAM, which is not enough. 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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At least 9Gb of disk space is required.
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Also, the host running the containers should be a 64 bit platform. (images are not built for i386 systems)
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Direct binary downloads
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-----------------------
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The latest binaries can be downloaded from https://github.com/overhangio/tutor/releases. From the command line:
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.. include:: cli_download.rst
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This is the simplest and recommended installation method for most people. Note however that you will not be able to use custom plugins with this pre-compiled binary. The only plugins you can use with this approach are those that are already bundled with the binary: see the :ref:`existing plugins <existing_plugins>`.
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From source
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-----------
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If you would like to inspect the Tutor source code, you are most welcome to install Tutor from `Pypi <https://pypi.org/project/tutor-openedx/>`_ or directly from `the Github repository <https://github.com/overhangio/tutor>`_. You will need python >= 3.6 and the libyaml development headers. On Ubuntu, these requirements can be installed by running::
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sudo apt install python3 libyaml-dev
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Installing from pypi::
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pip install tutor-openedx
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Installing from a local clone of the repository::
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git clone https://github.com/overhangio/tutor
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cd tutor
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pip install -e .
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.. _cloud_install:
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Cloud deployment
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----------------
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Tutor can be launched on Amazon Web Services very quickly with the `official Tutor AMI <https://aws.amazon.com/marketplace/pp/B07PV3TB8X>`_. Shell access is not even required, as all configuration will happen through the Tutor web user interface. For detailed installation instructions, we recommend watching the following video:
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.. youtube:: xtXP52qGphA
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.. _upgrade:
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Upgrading
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---------
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With Tutor, it is very easy to upgrade to a more recent Open edX or Tutor release. Just install the latest ``tutor`` version (using either methods above) and run the ``quickstart`` command again. If you have :ref:`customised <configuration_customisation>` your docker images, you will have to re-build them prior to running ``quickstart``.
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.. _autocomplete:
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Autocomplete
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------------
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Tutor is built on top of `Click <https://click.palletsprojects.com>`_, which is a great library for building command line interface (CLI) tools. As such, Tutor benefits from all Click features, including `auto-completion <https://click.palletsprojects.com/en/7.x/bashcomplete/>`_. After installing Tutor, auto-completion can be enabled by running::
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_TUTOR_COMPLETE=source tutor >> ~/.bashrc
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If you are running zsh, run instead::
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_TUTOR_COMPLETE=source_zsh tutor >> ~/.zshrc
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After opening a new shell, you can test auto-completion by typing::
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tutor <tab><tab>
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.. include:: podman.rst
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