I created this site to help me prepare for the test and published it to help others. The code is open source and the site has no warranty.

Uses the official question repository and picks random questions from the chosen category. Uses spaced repetition (simpler variation on the Leitner system) to maximize the learning efficiency.

Before you begin, make sure you are running Python 3.7/3.8/3.9 (or higher if supported by the Lambda runtime) and you have a valid AWS account and your AWS credentials file is properly installed.

On Linux: create a venv - python3 -m venv env enter venv - source env/bin/activate install packages - pip3 install -r requirements-lambda.txt create cache - python3 lib/download_cache.py deploy - zappa deploy

• git clone - git clone https://github.com/Bnux256/TheoryHelper.git
• build Docker image - docker build . -t bnux256/theoryhelper
• run service: docker compose up -d
  TheoryHelper should now be running on localhost:8000!

.
├── config.json
├── docker-compose.yml
├── Dockerfile
├── docs
│   └── images
│       └── demo.png
├── frontend
│   ├── iframe.html
│   ├── index.html
│   └── question_viewer.html
├── lib
│   ├── count_category.py
│   ├── download_cache.py
│   ├── html_parser.py
│   └─── __init__.py
├── main.py
├── questions
│   └── questions.json
├── readme.md
├── requirements-lambda.txt
├── requirements.txt
└── zappa_settings.json