Oncora has a concept of case objects that represent a single course of radiation treatment. Users may associate one or more prescription objects with a given case.

This project contains an API to store and retrieve those prescription objects, defined in api.py. It exposes a single endpoint, which accepts two methods:

Oncora also has a separate API that can be used to retrieve a set of "risk predictions" for a given case and prescription. This is mocked by a function in prediction_api.py.

1. When a user submits a prescription to be saved, use the prediction api to retrieve predictions, store them in a database along with the prescription and case used to generate them, and include the predictions in the response to the client.
   • The predictions should be stored in a mongo collection called predictions
2. Add a suite of unit tests
   • A single, failing test already exists
   • Refactor the existing code as much as you like to accomplish this

1. Install pipenv if it isn't already installed.
2. Clone this repo
3. Create virtual environment and install dependencies: PIPENV_VENV_IN_PROJECT=1 pipenv install -d
4. Open the project in VS Code and run the test suite, or pipenv run pytest