This repository contains the backend scripts and configuration used to manage Docker-based code execution and testing for the CodeLighthouse platform — a real-time code feedback and assignment system developed for my Bachelor's thesis.

The core goal of this component is to safely execute user-submitted code inside Docker containers, run predefined test cases, and return meaningful feedback — all isolated from the host system.

• Takes user code submissions (e.g., Python scripts)
• Wraps the submission into a temporary file
• Spins up a preconfigured Docker container with appropriate language/runtime
• Mounts the code and test environment
• Executes the code with custom test cases (e.g., via pytest or shell scripts)
• Captures stdout/stderr and returns it to the frontend as feedback

• Python
• Docker / Docker CLI
• Subprocess / OS modules
• Shell scripting

1. Build the Docker container:

   docker build -t codelighthouse-executor ./docker

2. Submit code for testing (example wrapper):

   python run_code.py --code "print('Hello World')" --language python

3. Output will include:

   • Standard output from the code
   • Any test results or feedback messages

Part of the academic deliverables for my undergraduate thesis. Open to educational use.

Ștefan Secrieru
GitHub: @Stefan3002
Thesis: CodeLighthouse - Automated Online Assessments Platform