Ancillary Stats Data (ASD) is the data retrieval and persistence layer of Ancillary Stats. It's currently deployed to AWS Lambda and primarily triggered by the "handlers.main" function.

This project is not intended for commercial use in any form.

Clone the repo

git clone https://github.com/arosenberg01/asdata.git

Install python packages (recommended to use a virtual environemnt, such as venv

pip install -r requirements.txt

The only remaining requirement to use the service is to supply a SQLAlchemy-compatible database in the form of environment variables, detailed in settings.py

Incoming events are handling through the handler.main, which expects a dictionary as an argument with 'handler_name' and 'args'. 'handler_name' is used to route to the correct sub-handler, and args contains specific function arguments

A sample invocation of updating all game data for a single NBA player can be triggering locally by adding the following to the bottom of handlers.py:

if __name__ == "__main__":
    main({
        'handler_name': 'update_player_games',
        'args': {
            'player_ids': ['5601']
    }
}, {})

And then run:

python handlers.py

These test the main functionality of the NbaPlayerPage and NbaTeamPage classes, as well as utility functions

python -m unittest discover tests

• SQLAlchemy
• Beautiful Soup
• AWS Lambda

• Ansel Rosenberg

This project is licensed under the MIT License - see the LICENSE.txt file for details