Technical Assessment task for franklin.ai

This is a technical assessment task for Software Engineering roles at franklin.ai.

Your task is to develop a command-line tool that processes a stream of events and outputs a summary of the event data. You may implement the tool using your choice of:

• Rust
• Python
• JavaScript/TypeScript

You are welcome to use external open-source libraries if desired.

Your solution to this task will form the starting point for a 60-minute technical interview, during which we'll collaboratively review the code, discuss your design choices, and investigate potential future enhancements and refactorings.

Task Expectations

You should take a copy of this repo, implement the requirements described below, and push them to GitHub for discussion in the scheduled technical interview. You're welcome to use a private repository, as long as it is visible to @boods, @doc-E-brown, and @jayvdb.

You will be given the email address of a member of the team, and should email this person with a link to your solution at least 24 hours before the scheduled technical interview. You're also encouraged to email them with questions at any time while working on this task.

Please don't spend more than a few hours on this task.

It's not a trick question and we're not expecting anything too elaborate. It's a small self-contained exercise to help us get to know you through your code - how you break down a problem, how you structure your code, and how you communicate about it with your potential future team-mates.

We'll be looking for well-structured, clear, maintainable code with reasonable performance characteristics. We will not be looking for micro-optimisations or for every single detail to be carefully polished.

Task Requirements

Given a file containing events like the following:

[
    {
        "EventType": "PatientCreated",
        "Payload": {
            "PatientID": "a30bb29d",
            "Name": "Olivia"
        }
    },
    {
        "EventType": "PatientCaseSlideAttached",
        "Payload": {
            "PatientID": "a30bb29d",
            "File": "d9392a98.tiff"
        }
    },
    {
        "EventType": "PatientCaseSlideAttached",
        "Payload": {
            "PatientID": "a30bb29d",
            "File": "f796f432.tiff"
        }
    },
    {
        "EventType": "PatientCreated",
        "Payload": {
            "PatientID": "e36ff8f4",
            "Name": "Sophie"
        }
    },
    {
        "EventType": "PatientCaseSlideAttached",
        "Payload": {
            "PatientID": "e36ff8f4",
            "File": "ccd803fd.tiff"
        }
    }
]

Write a command-line tool that displays the following output:

Olivia: d9392a98.tiff, f796f432.tiff
Sophie: ccd803fd.tiff

This functionality may be implemented using your choice of Python, Rust or JavaScript/TypeScript and may use external open-source libraries if desired.