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INTERVIEW.md

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Coding Challenge

You can refer to Google or relevant documentation to guide you in addressing the issues below. You are not allowed to use ChatGPT, Copilot, or any similar tools for assistance.

  1. Model Training Error Resolution:

    • Begin by executing make test to identify any issues during model training.
    • After passing the TestModel::test_model_build test, use make train followed by make serve-model to train and serve the model, preparing it for upcoming steps.

  2. API Startup Issue Fix:

    • Resolve the Flask API startup issue with make serve-api.
    • Run make serve-api to start a development Flask server, then open a new terminal window without shutting down the server.

  3. Data Return and Interests Length Correction:

    • Execute make test and resolve the TestInterestsAPI::test_basic_response - AssertionError: Incorrect number of interests test.
    • Ensure the return data structure and interests array length meet the specifications, adjusting the API as necessary.

  4. Response Time Optimization:

    • Run make test and fix the TestInterestsAPI::test_basic_response - AssertionError: Request greater than 1 second test.
    • Enhance the API to achieve a response time of one second or less.

  5. Probability Field Inclusion:

    • Perform make test and correct the TestInterestsAPI::test_with_probability test.
    • Update the API response to incorporate a 'probability' field.

  6. Probability Score Filtering Implementation:

    • Create a feature allowing API clients to filter results by probability score, enabling users to specify a probability threshold for more targeted results.