Instructions for running and testing the function:
To run the function, you need to open it in Jupyter notebook and run all the cells. The input parameters required are loadId(str), x(float), y(float). The output is a dictionary, including the information of robotId, distanceToGoal and batterylevel.
Information about what I'd do next:
I can add a function for error handling, for example, I can check the input type and throw an error if it doesn't match the desired input type.
Also, to increase flexibility, I may include the URL as one of the input parameters instead of writing the actual URL in the function.
If the problem expands to millions of robots, maybe I'll do a quick scan of the robot's position before calculating the actual distances. For example, I may firstly select robots with 100 units of horizontal and vertical distance, then calculate the distance of these pre-selected robots and select the optimal one. If there is no robot within 100 units of horizontal and vertical distance, then increase the scanning distance to 200, 400, etc.