============ Installation ============ Installing Yaksh ---------------- **Pre-Requisite** * Ensure `pip `_ is installed **For installing Yaksh** 1. **Clone the repository**:: $ git clone https://github.com/FOSSEE/online_test.git 2. **Go to the online_test directory**:: $ cd ./online_test 3. **Install the dependencies** - * For Python 2 use:: $ pip install -r ./requirements/requirements-py2.txt * For Python 3 (recommended) use:: $ pip install -r ./requirements/requirements-py3.txt Quick Start ----------- 1. **Start up the code server that executes the user code safely**: * To run the code server in a sandboxed docker environment, run the command:: $ invoke start .. note:: Make sure that you have Docker installed on your system beforehand. Find docker installation guide `here `_. * To run the code server without docker, locally use:: $ invoke start --unsafe .. note:: Note this command will run the yaksh code server locally on your machine and is susceptible to malicious code. You will have to install the code server requirements in sudo mode. 2. **On another terminal, run the application using the following command** * To start the django server:: $ invoke serve .. note:: The serve command will run the django application server on the 8000 port and hence this port will be unavailable to other processes. 3. **Open your browser and open the URL** - ``http://localhost:8000/exam`` 4. **Login as a teacher to edit the quiz or as a student to take the quiz** * Credentials: For Student: * Username: student * Password: student For Teacher: * Username: teacher * Password: teacher 5. **User can also login to the Default Django admin by going to URL and entering the following admin credentials** ``http://localhost:8000/admin`` For admin: * Username: admin * Password: admin Production Deployment --------------------- * **Deploying Locally** Follow these steps to deploy locally on the server. * **Pre-Requisite** 1. Ensure `pip `__ is installed 2. Install dependencies, Run; :: pip install -r requirements/requirements-py2.txt # For Python 2 pip3 install -r requirements/requirements-py3.txt # For Python 3 3. Install MySql Server 4. Install Python MySql support 5. Install Apache Server for deployment 6. Create a database named ``yaksh`` by following the steps below :: $> mysql -u root -p $> mysql> create database yaksh 7. 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; 8. Add ``DATABASE_PASSWORD = 'mysecretpassword'`` and ``DATABASE_USER = 'yaksh_user'`` to online\_test/settings.py * **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 2. Rename the ``.sampleenv`` to ``.env`` 3. 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 4. Run: :: $ python manage.py makemigrations yaksh $ python manage.py migrate yaksh 5. Run the python server provided. This ensures that the code is executed in a safe environment. Do this like so: :: $ sudo python -m yaksh.code_server # For Python 2.x $ 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". This runs the number ports configured in the settings.py file in the variable "N\_CODE\_SERVERS". The "SERVER\_TIMEOUT" also can be changed there. This is the maximum time allowed to execute the submitted code. Note that this will likely spawn multiple processes as "nobody" depending on the number of server ports specified. You can also use a Dockerized code server, see `Dockerized Code Server` 6. 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/ 7. Create a Superuser/Administrator: :: python manage.py createsuperuser 8. Go to http://desired\_host\_or\_ip:desired\_port/exam And you should be all set. 9. Note that the directory "output" will contain directories, one for each user. Users can potentially write output into these that can be used for checking later. 10. As a moderator 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. Stop the containers, you can use ``invoke restart`` to restart the containers without removing them :: invoke halt 11. Remove the containers :: invoke remove 12. You can use ``invoke --list`` to get a list of all the available commands .. _add-commands: * **Additional commands available** We provide several convenient commands for you to use: - load\_exam : load questions and a quiz from a python file. See docs/sample\_questions.py - load\_questions\_xml : load questions from XML file, see docs/sample\_questions.xml use of this is deprecated in favor of load\_exam. - results2csv : Dump the quiz results into a CSV file for further processing. - dump\_user\_data : Dump out relevalt user data for either all users or specified users. For more information on these do this: :: $ python manage.py help [command] where [command] is one of the above.