- Angular CLI
- Python 3.10 or newer
- Docker Desktop
- All library requirements are present in included in the backend/requirements.txt file. Instructions on how to download these included in the Setup section.
NOTE: If you have multiple versions of Python installed, you may have to change the given commands slightly to specify your version. pip3.x and py -3.x should work as alternatives to pip and python aliases.
- Install Python 3.10 or newer
- Install Angular here
- Pull down the most recent version of this repository to a local location.
- Setup environment (create .env and virtual environment):
cd [repository] ./setup.sh ./run.sh
NOTE: if on Windows, shell scripts should be run in Git Bash to ensure compatibility.
- Download the dataset from Kaggle and place in the backend directory with a rename of "kaggle-db.sqlite".
- Enable the Gatorlink VPN and ensure that your .env file has the proper credentials to connect to the Oracle DB.
- Activate the Python venv & run the ETL script from the backend.
This project utilizes CompoDoc to automatically generate documentation for the Angular web application. To run this documentation either use the run_docs.sh script or use the following commands:
cd [repository]/frontend
npm run compodoc:serve-and-build
-
Pydantic Dev Docs - Docs for Pydantic, the tool we use for backend validation and transformation
-
Angular DevTools - This is a useful browser extension for debugging angular applications.
- FastAPI endpoints can quickly be tested locally without requiring the front-end by either visiting localhost:8000/docs or with the use of third-party tools such as Postman.