def run()

in diabetes_regression/scoring/score.py [0:0]

• 11 lines of code
• 3 McCabe index (conditional complexity)

def run(data, request_headers):
    result = model.predict(data)

    # Demonstrate how we can log custom data into the Application Insights
    # traces collection.
    # The 'X-Ms-Request-id' value is generated internally and can be used to
    # correlate a log entry with the Application Insights requests collection.
    # The HTTP 'traceparent' header may be set by the caller to implement
    # distributed tracing (per the W3C Trace Context proposed specification)
    # and can be used to correlate the request to external systems.
    print(('{{"RequestId":"{0}", '
           '"TraceParent":"{1}", '
           '"NumberOfPredictions":{2}}}'
           ).format(
               request_headers.get("X-Ms-Request-Id", ""),
               request_headers.get("Traceparent", ""),
               len(result)
    ))

    return {"result": result.tolist()}