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Django CI

Online-Judge

Port of the Online Judge in Python

Architecture

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Working

Initially the user chooses a language in the code editor and starts to write the answer based on the coding question. When the user submits the answer, the answer passes to the server. In the server a task id is being created in the PostgreSQL and the job is being sent to the RabbitMQ/Redis message queue. Then celery picks up the job and executes it in a sandbox environment which is developed using C. This helps to increase security and prevents malicious code injection attacks on the platform. When the job finishes execution the result is sent to the frontend using long poling. In this way the system verifies the users code, evaluate it and generates it ranking based on scores from other peers.

You can check out the code executor part of the project here.

Documentation to help with Celery

https://docs.celeryproject.org/en/stable/getting-started/next-steps.html#next-steps

Documentation to help setting up public PostgreSQL

https://blog.logrocket.com/setting-up-a-remote-postgres-database-server-on-ubuntu-18-04/

Development Environment Config

This project uses PEP8 code style, please make sure to follow. Yapf is our preffered formatting tool. If you are using VSCode add the following in your settings.json

"python.formatting.provider": "yapf",
"python.formatting.yapfArgs": ["--style={based_on_style: pep8, indent_width: 4, column_limit: 120}"],
"python.linting.enabled": true

Message Broker setup

This project uses RabbitMQ as the primary option for implementing the message broker service. To set it up you need to have Docker on your system:

Instructions to set up Docker are here

To pull Rabbit mq, run sudo docker pull rabbitmq in the terminal.

We use the Management plugin version of RabbitMQ, so to do that run: sudo docker run -d -p 15672:15672 -p 5672:5672 -e RABBITMQ_DEFAULT_USER={{ your_custom_user }} -e RABBITMQ_DEFAULT_PASS={{ your_custom_password }} rabbitmq:3-management

Check the management console at http://host-ip:15672/ to see if the broker server is running fine.

This will generate a broker-url of the format amqp://{user}:{password}@{your_ip}:5672/. Add this as the CELERY_BROKER_URL in the .env file for the project as well as the executors.

Second alternative to RabbitMQ - REDIS - (long connections cause problem)

For the code execution part to function properly, you need to install a broker. Steps to install redis are as follows:

  1. sudo apt install redis-server
  2. sudo nano /etc/redis/redis.conf
  3. Inside the file find the supervised directive and change it to systemd. It should be set to no by default.
  ...
  supervised systemd
  ...
  1. sudo systemctl restart redis.service
  2. Add redis://localhost:6379 in the CELERY_BROKER_URL part of the .env file you have in your locally cloned repository.

To check if redis is working or not:

  1. Type in redis-cli
  2. Type ping
  3. If it returns PONG, then your redis-broker server is running fine.

Documentation to help setting up public Redis

https://linuxize.com/post/how-to-install-and-configure-redis-on-ubuntu-18-04/
https://www.w3resource.com/redis/redis-auth-password.php

To add Language models after running SQL migrations run

python manage.py loaddata --app interface language_model.json