CppRunner

CppRunner is a simple Web app that can run code for you. It's based on .NET and Docker. With CppRunner, you can start testing a piece of code in seconds without setting up your environment. Now supports 15 languages.

Try

Try a running CppRunner here.

Run in Ubuntu

The following script will install\update this app on your Ubuntu server. Supports Ubuntu 22.04.

On your Ubuntu server, run the following command:

curl -sL https://gitlab.aiursoft.cn/aiursoft/cpprunner/-/raw/master/install.sh | sudo bash

Of course it is suggested that append a custom port number to the command:

curl -sL https://gitlab.aiursoft.cn/aiursoft/cpprunner/-/raw/master/install.sh | sudo bash -s 8080

It will install the app as a systemd service, and start it automatically. Binary files will be located at /opt/apps. Service files will be located at /etc/systemd/system.

Run manually

Requirements about how to run

1. Install Docker
2. Run sudo docker build -t cpprunner . in the project path to build the image from source.
3. Run sudo docker run -d -p 5000:5000 -v /tmp:/tmp -v /var/run/docker.sock:/var/run/docker.sock cpprunner in the project path.
4. Run sudo docker ps to check the container ID and run sudo docker logs <container ID> to check the logs.
5. After started, open http://localhost:5000 in your browser to test the app.

Run in Docker

First, install Docker here.

Then run the following commands in a Linux shell:

mkdir -p /tmp/cpprunner/builds
image=hub.aiursoft.cn/aiursoft/cpprunner
appName=cpprunner
sudo docker pull $image
sudo docker run -d --name $appName --restart unless-stopped -p 5000:5000 -v /var/www/$appName:/data -v /tmp:/tmp -v /var/run/docker.sock:/var/run/docker.sock $image

That will start a web server at http://localhost:5000 and you can test the app.

The docker image has the following context:

Properties	Value
Image	hub.aiursoft.cn/aiursoft/cpprunner
Ports	5000
Binary path	/app
Data path	/data
Config path	/data/appsettings.json
Passthrough	/var/run/docker.sock (For Docker)
Passthrough	/tmp (For saving code with Docker)

Run in Microsoft Visual Studio

1. Open the .sln file in the project path.
2. Press F5 to run the app.

How to contribute

There are many ways to contribute to the project: logging bugs, submitting pull requests, reporting issues, and creating suggestions.

Even if you with push rights on the repository, you should create a personal fork and create feature branches there when you need them. This keeps the main repository clean and your workflow cruft out of sight.

We're also interested in your feedback on the future of this project. You can submit a suggestion or feature request through the issue tracker. To make this process more effective, we're asking that these include more information to help define them more clearly.