.. _install: Install Tutor ============= .. _requirements: Requirements ------------ * Supported OS: Tutor runs on any 64-bit, UNIX-based system. It was also reported to work on Windows. * Required software: - `Docker `__: v18.06.0+ - `Docker Compose `__: v1.22.0+ .. warning:: 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. * Ports 80 and 443 should be open. If other web services run on these ports, check the section on :ref:`how to setup a web proxy `. * Hardware: - Minimum configuration: 4 Gb RAM, 2 CPU, 8 Gb disk space - Recommended configuration: 8 Gb RAM, 4 CPU, 25 Gb disk space .. note:: 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 `__ to allocate at least 4-5 Gb to the Docker daemon. If the deployment fails because of insufficient memory during database migrations, check the :ref:`relevant section in the troubleshooting guide `. .. _install_binary: Direct binary download ---------------------- The latest binaries can be downloaded from https://github.com/overhangio/tutor/releases. From the command line: .. include:: cli_download.rst 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 `. .. _install_source: Alternative installation methods -------------------------------- If you would like to inspect the Tutor source code, you are most welcome to install Tutor from `Pypi `_ or directly from `the Github repository `_. You will need python >= 3.6 and the libyaml development headers. On Ubuntu, these requirements can be installed by running:: sudo apt install python3 libyaml-dev Installing from pypi ~~~~~~~~~~~~~~~~~~~~ :: pip install tutor-openedx Installing from source ~~~~~~~~~~~~~~~~~~~~~~ :: git clone https://github.com/overhangio/tutor cd tutor pip install -e . .. _cloud_install: Zero-click AWS installation ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Tutor can be launched on Amazon Web Services very quickly with the `official Tutor AMI `__. Shell access is not required, as all configuration will happen through the Tutor web user interface. For detailed installation instructions, we recommend watching the following video: .. youtube:: xtXP52qGphA .. _upgrade: Upgrading --------- 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 ` your docker images, you will have to re-build them prior to running ``quickstart``. .. _autocomplete: Autocomplete ------------ Tutor is built on top of `Click `_, which is a great library for building command line interface (CLI) tools. As such, Tutor benefits from all Click features, including `auto-completion `_. After installing Tutor, auto-completion can be enabled by running:: _TUTOR_COMPLETE=source tutor >> ~/.bashrc If you are running zsh, run instead:: _TUTOR_COMPLETE=source_zsh tutor >> ~/.zshrc After opening a new shell, you can test auto-completion by typing:: tutor .. include:: podman.rst Uninstallation -------------- It is fairly easy to completely uninstall Tutor and to delete the Open edX platforms that is running locally. First of all, stop any locally-running platform:: tutor local stop tutor dev stop Then, delete all data associated to your Open edX platform:: # WARNING: this step is irreversible sudo rm -rf "$(tutor config printroot)" Finally, uninstall Tutor itself:: # If you installed tutor from source pip uninstall tutor-openedx # If you downloaded the tutor binary sudo rm /usr/local/bin/tutor