This method is for deploying Open edX locally on a single server, where docker images are orchestrated with `docker-compose <https://docs.docker.com/compose/overview/>`_.
In the following, environment and data files will be generated in a user-specific project folder which will be referred to as the "**project root**". On Linux, the default project root is ``~/.local/share/tutor``. An alternative project root can be defined by passing the ``--root=...`` option to the ``tutor`` command, or defining the ``TUTOR_ROOT=...`` environment variable::
But you may want to run commands one at a time: it's faster when you need to run only part of the local deployment process, and it helps you understand how your platform works. In the following we decompose the ``quickstart`` command.
This is the only non-automatic step in the installation process. You will be asked various questions about your Open edX platform and appropriate configuration files will be generated. If you would like to automate this step then you should run ``tutor config save --interactive`` once. After that, there will be a ``config.yml`` file at the root of the project folder: this file contains all the configuration values for your platform, such as randomly generated passwords, domain names, etc.
If you want to run a fully automated installation, upload the ``config.yml`` file to wherever you want to run Open edX. You can then entirely skip the configuration step.
This downloads the latest version of the docker images from `Docker Hub <https://hub.docker.com/r/overhangio/openedx/>`_. Depending on your bandwidth, this might take a long time. Minor image updates will be incremental, and thus much faster.
This will launch the various docker containers required for your Open edX platform. The LMS and the Studio will then be reachable at the domain name you specified during the configuration step. You can also access them at http://localhost and http://studio.localhost.
This command should be run just once. It will initialise all applications in a running platform. In particular, this will create the required databases tables and apply database migrations for all applications.
If initialisation is stopped with a ``Killed`` message, this certainly means the docker containers don't have enough RAM. See the :ref:`troubleshooting` section.
By default, logs from all containers are forwarded to the `default Docker logging driver <https://docs.docker.com/config/containers/logging/configure/>`_: this means that logs are printed to the standard output when running in non-daemon mode (``tutor local start``). In daemon mode, logs can still be accessed with ``tutor local logs`` commands (see :ref:`logging <logging>`).
In addition, all LMS and CMS logs are persisted to disk by default in the following files::
$(tutor config printroot)/data/lms/logs/all.log
$(tutor config printroot)/data/cms/logs/all.log
Finally, tracking logs that store `user events <https://edx.readthedocs.io/projects/devdata/en/latest/internal_data_formats/tracking_logs/index.html>`_ are persisted in the following files::
After a fresh installation, your platform will not have a single course. To import the `Open edX demo course <https://github.com/edx/edx-demo-course>`_, run::
Notice the "localhost" argument: in Open edX, themes are assigned per domain name. That means that your custom theme will only be visible if you access your platform at http://localhost. So you might want to run this command with all possible domain names. For instance, to assign your custom theme both to the LMS and the studio, locally and in production, run::
Out of the box, only the default "open-edx" theme is available. We also developed `Indigo, a beautiful, customizable theme <https://github.com/overhangio/indigo>`__ which is easy to install with Tutor.
After modifying Open edX settings, for instance when running ``tutor config save``, you will want to restart the web processes of the LMS and the CMS to take into account those new settings. It is possible to simply restart the whole platform (with ``tutor local reboot``) or just a single service (``tutor local restart lms``) but that is overkill. A quicker alternative is to send the HUP signal to the gunicorn processes running inside the containers. The "openedx" Docker image comes with a convenient script that does just that. To run it, execute::
You can then view the portainer UI at `http://localhost:9000 <http://localhost:9000>`_. You will be asked to define a password for the admin user. Then, select a "Local environment" to work on; hit "Connect" and select the "local" group to view all running containers.
The containerized web server (nginx) needs to listen to ports 80 and 443 on the host. If there is already a webserver running on the host, such as Apache or Nginx, the nginx container will not be able to start. Tutor supports running behind a web proxy. To do so, add the following configuration::
In this example, the nginx container ports would be mapped to 81 and 444, instead of 80 and 443. You must then configure the web proxy on the host. Basic configuration files are provided by Tutor which can be used directly by your web proxy.
If you have configured your platform to use SSL/TLS certificates for HTTPS access, the generation and renewal of certificates will not be managed by Tutor: you are supposed to take care of it yourself. Suggestions for generating and renewing these certificates with `Let's Encrypt <https://letsencrypt.org/>`_ are given by::
With Tutor, it is easy to run multiple Open edX instances on a single server. To do so, the following configuration parameters must be different for all platforms:
-``TUTOR_ROOT``: so that configuration, environment and data are not mixed up between platforms.
-``LOCAL_PROJECT_NAME``: the various docker-compose projects cannot share the same name.
-``NGINX_HTTP_PORT``, ``NGINX_HTTPS_PORT``: ports cannot be shared by two different containers.
-``LMS_HOST``, ``CMS_HOST``: the different platforms must be accessible from different domain (or subdomain) names.
In addition, a web proxy must be setup on the host, as described :ref:`above <web_proxy>`.
The default settings module loaded by ``edx-platform`` is ``tutor.production``. The folders ``$(tutor config printroot)/env/apps/openedx/settings/lms`` and ``$(tutor config printroot)/env/apps/openedx/settings/cms`` are mounted as ``edx-platform/lms/envs/tutor`` and ``edx-platform/cms/envs/tutor`` inside the docker containers. Thus, to use your own settings, you must do two things:
1. Copy your settings files for the lms and the cms to ``$(tutor config printroot)/env/apps/openedx/settings/lms/mysettings.py`` and ``$(tutor config printroot)/env/apps/openedx/settings/cms/mysettings.py``.
2. Load your settings by adding ``EDX_PLATFORM_SETTINGS=tutor.mysettings`` to ``$(tutor config printroot)/env/local/.env``.
Of course, your settings should be compatible with the docker installation. You can get some inspiration from the ``production.py`` settings modules generated by Tutor, or just import it as a base by adding ``from .production import *`` at the top of ``mysettings.py``.
Versions 1 and 2 of Tutor were organized differently: they relied on many different ``Makefile`` and ``make`` commands instead of a single ``tutor`` executable. To migrate from an earlier version, you should first stop your platform::
With Tutor, all data are stored in a single folder. This means that it's extremely easy to migrate an existing platform to a different server. For instance, it's possible to configure a platform locally on a laptop, and then move this platform to a production server.
1. Make sure `tutor` is installed on both servers with the same version.
2. Stop any running platform on server 1::
tutor local stop
3. Transfer the configuration, environment and platform data from server 1 to server 2::
The ``dump.sql`` and ``dump.mongodb`` files will be located in ``$(tutor config printroot)/data/mysql`` and ``$(tutor config printroot)/data/mongodb``.
