core

AuTA

AuTA is your Automatic TA: it analyzes, grades and gives feedback on programming projects.

It is suitable for both small, single-file submissions and large-scale software systems like AuTA itself. Supported languages include Java, C, C++, Python and even x86-64 assembly. The supported metrics range from simple file counts to complex metrics like the Maintainability Index. Feedback is entirely customizable and for complete control over how the submission is processed, there is also support for running Docker images.

Runtime requirements

Core

AuTA's core requires a Java 11 runtime and MongoDB running on localhost.

Furthermore, the path /srv/auta must be readable and writable by the user AuTA runs as.

Worker

Like the core, the worker requires a Java 11 runtime.

Optionally Graphviz can be installed to enable UML generation.

Usage

Core

Jar

Start the core as follows:

java -jar core.jar

Docker

docker run f00f/auta-core

The following environment variables can be passed:

The server allows for set-up using username admin and password admin. Configure the server as needed and restart the process.

Worker

Workers can be started with the worker jar or the worker docker image:

Jar:

java -jar worker.jar name=$NAME host=$HOST api-token=$APITOKEN api-protocol=$PROTOCOL api-port=$PORT

A table of arguments and their description:

Docker:

docker run -e {environment variables} f00f/auta-worker

As opposed to running the worker with the jar, all regular environment variables are mandatory.

A table of environment variables that can be passed to the container:

Devops

AuTA can be integrated in GitLab's Auto DevOps using Trampoline.