Production Deployment ===================== This README provides documentation to help deploy Yaksh in a production environment. If you wish to take Yaksh on a trial run, here is a `Quickstart Guide `__ Requirements ============ Python 3.6, 3.7, 3.8 Django 3.0.3 ################### Deploying Locally ################### Follow these steps to deploy locally on the server. For deployment instructions using Docker see `Deploying Multiple Dockers `__ Pre-Requisite ^^^^^^^^^^^^^ 1. Ensure `pip `__ is installed 2. Install MySQL Server 3. Install Python MySQL system dependencies 4. Install Apache Server for deployment 5. Create a database named ``yaksh`` by following the steps below :: $> mysql -u root -p $> mysql> create database yaksh 6. Add a user named ``yaksh_user`` and give access to it on the database ``yaksh`` by following the steps below :: mysql> grant usage on yaksh to yaksh_user@localhost identified by 'mysecretpassword'; mysql> grant all privileges on yaksh to yaksh_user@localhost; Installation & Usage ^^^^^^^^^^^^^^^^^^^^ To install this app follow the steps below: 1. Clone this repository and cd to the cloned repo. :: git clone https://github.com/FOSSEE/online_test.git :: cd online_test 2. Install Yaksh dependencies, Run :: pip3 install -r requirements/requirements-common.txt :: pip3 install -r requirements/requirements-py3.txt :: sudo pip3 install -r requirements/requirements-codeserver.txt 3. Rename the ``.sampleenv`` to ``.env`` 4. In the ``.env`` file, uncomment the following and replace the values (please keep the remaining settings as is); :: DB_ENGINE=mysql # Or psycopg (postgresql), sqlite3 (SQLite) DB_NAME=yaksh DB_USER=root DB_PASSWORD=mypassword # Or the password used while creating a Database DB_PORT=3306 5. Run: :: $ python manage.py migrate 6. Run the python server provided. This ensures that the code is executed in a safe environment. Do this like so: :: $ sudo python3 -m yaksh.code_server # For Python 3.x Put this in the background once it has started since this will not return back the prompt. It is important that the server be running *before* students start attempting the exam. Using sudo is necessary since the server is run as the user "nobody". Code server requires several parameters specified in `.env` file such as "N\_CODE\_SERVERS", "SERVER\_TIMEOUT", "SERVER\_POOL\_PORT", "SERVER\_HOST\_NAME" set to some default values. These parameters can be changed to different values based on your requirement. Multiple code server processes are spawned based on "N\_CODE\_SERVERS" value. The "SERVER\_TIMEOUT" also can be changed. This is the maximum time allowed to execute the submitted code. You can also use a Dockerized code server, see :ref:`Dockerized Code Server `__ 7. The ``wsgi.py`` script should make it easy to deploy this using mod\_wsgi. You will need to add a line of the form: :: WSGIScriptAlias / "/online_test/wsgi.py" to your apache.conf. For more details see the Django docs here: https://docs.djangoproject.com/en/2.0/howto/deployment/wsgi/ 8. Create a Superuser/Administrator: :: python manage.py createsuperuser 9. Go to http://desired\_host\_or\_ip:desired\_port/exam And you should be all set. 10. Note that the "output" directory present in "yaksh_data" folder will contain directories, one for each user. Users' code files are created in "output" directory that can be used for checking later. 11. As admin user, you can visit http://desired\_host\_or\_ip/exam/monitor to view results and user data interactively. You could also "grade" the papers manually if needed. .. _dockerized-code-server: Using Dockerized Code Server ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 1. Install `Docker `__ 2. Go to the directory where the project is located :: cd /path/to/online_test 3. Create a docker image. This may take a few minutes, :: docker build -t yaksh_code_server -f ./docker/Dockerfile_codeserver 4. Check if the image has been created using the output of ``docker images`` 5. Run the invoke script using the command ``invoke start``. The command will create and run a new docker container (that is running the code\_server.py within it), it will also bind the ports of the host with those of the container 6. You can use ``invoke --list`` to get a list of all the available commands .. _deploying-multiple-dockers: ###################################### Deploying Multiple Dockers ###################################### Follow these steps to deploy and run the Django Server, MySQL instance and Code Server in seperate Docker instances. 1. Install `Docker `__ 2. Install `Docker Compose `__ 3. Rename the ``.sampleenv`` to ``.env`` 4. In the ``.env`` file, uncomment all the values and keep the default values as is. 5. Go to the ``docker`` directory where the project is located: :: cd /path/to/online_test/docker 6. Build the docker images :: invoke build 7. Run the containers and scripts necessary to deploy the web application :: invoke begin 8. Make sure that all the containers are ``Up`` and stable :: invoke status 8. Run the containers and scripts necessary to deploy the web application, ``--fixtures`` allows you to load fixtures. :: invoke deploy --fixtures 10. To stop the containers, run :: invoke halt 11. You can use ``invoke restart`` to restart the containers without removing them. 12. Remove the containers :: invoke remove 13. You can use ``invoke --list`` to get a list of all the available commands.