AutoGrader : Programming Competition Scoreboard

AutoGrader is a Rust Programming competition scoreboard which can use on both CLI and TCP/IP protocol.

This repo contains only core of AutoGrader not included the frontend which can easily implement API to send the submissions files

You need Rustup to compile AutoGrader!!!

Installation

• Any Linux Distribution
• Docker installed with user added to group, docker.
• If API can't reach please confirm you added the firewall rules to the port in Session Config
• TBD next...

Configuration

• Session Config:

  • Use to configure session for serve subcommand.
  • If port is less than 1000 AutoGrader required to use sudo privilege to listening on incoming request via API. (Not recommend)
  • scheme is use to define database table on database named in db field.
  • group_score is an optional for individual scoring or when {"group":false}.

{
  "name": "AutoGrader Test",
  "port": 5000,
  "database": {
    "host": "127.0.0.1",
    "port": 12345,
    "username": "autograder",
    "password": "a4t0gr4d3r",
    "mode": "pgsql",
    "scheme": {
      "db": "autograder_session",
      "user": "user",
      "score": "score",
      "group_score": "group_score"
    }
  },
  "runner": {
    "host": "127.0.0.1",
    "port": 15000
  },
  "test_dir": "~/",
  "group": true
}

• Test Config:

  • Use to configure test and cases for run and serve subcommand.
  • If pass_all represented in config file, score_weight will be ignored and will use score instead.
  • If score_weigth is unequal to score, AutoGrader will normalize sum of score_weight to score automatically, or else sum of score_weight is score if score isn't represented.

{
  "name": "Sum the number",
  "info": "Sum the numbers given in array",
  "description": {
    "reader": "md",
    "content": "sum/sum.desc.md"
  },
  "score": 100,
  "cases": {
    "dir": "sum",
    "solution": "sum/sol.cpp",
    "pass_all": true,
    "score_weight": {
      "sum1.txt": 60,
      "sum2.txt": 40
    }
  },
  "limit": {
    "cpu": 1000,
    "memory": "256M",
    "time": 1000
  }
}