Nirvana Home Challenge

Retrieves the patient data from different sources and consolidates the information applying different configurables criterias for each attribute

Dependencies

• Python 3.8 or higher (older version may work but aren't tested)

Initialize project

Run the following in order to enable the env and install dependencies:

python3 -m venv virtualenv
source virtualenv/bin/activate
pip install -r requirements.txt

Try it

You may run an example code inside example.py running:

python example.py

Run tests

You may run the tests for the entire package running:

python -m unittest -v tests

Design

The idea behind the solution is to have 4 main components to retrieve the patient info, parse the info applying a criteria for each attribute and then create a model with that unified data.

The components are:

• Requester: is the responsible for retrieve all the information about a patient (identified by a member_id) from different sources and returning it in a list
• Parser: receives the list of patient info from the different sources and a detail of the attributes to be parsed (and the criteria to be applied for each one) and executes the corresponding calculations
• Criteria: different interchangeable pieces of code where each one defines the logic to be applied to calculate and consolidate the information of a particular attribute
• Model: the PatientInfo class defines a data structure that represents the information of a patient

Adding a new Criteria

If you want to add a new Criteria, do the following:

1. Create a new criteria class in patient_info_consolidator/criterias folder who extends Criteria and applies a calculate method
2. Add a rule for initialize the new criteria in CriteriaFactory.create_criteria
3. Then, you can applies the new criteria in the PatientInfoParser setting the correct key in the attribute that you want