🚴 Elo API Accelerator

The aim of this project is to help accelerate the creation of an Elo System using Python, FastAPI and Streamlit.

Currently working for Python < 3.9, conversion to superior versions is straightforward.

👍 Benefits of this project

• Currently working with FastAPI
• Basic functionality and endpoints already running
• Prepared for developing connection to databases
• Postman collection included for demonstration purposes
• Frontend in Streamlit connected to the API for user-friendly usage

🦾 Example of usage

API - Backend

Run the API

1. Install the requirements (proper environment with FastAPI and Uvicorn setup)
2. Go to the app folder cd backend/app
3. Run the server: uvicorn main:app --reload
4. Access the endpoints via POST and GET requests to the server's URL.

Run tests

1. Go to the tests folder cd backend/tests
2. Adjust the sys.path in the code to your main.py location
3. Run pytest

Frontend

Run the frontend

1. Make sure that streamlit is installed with the requirements
2. Go to the frontend folder cd frontend
3. Run the frontend: streamlit run frontend.py