JoseSilva2708/Leo-constellations-optimization ? reverse-engineered prompt

Build me a project that can optimize LEO satellite constellations for a global internet use case, then validate the best results in a simulator.

I want it to try different Walker style constellation options, score them by coverage, estimated deployment cost, and propagation delay, and keep improving the candidates until it finds a good set of feasible solutions. Please export the best constellation settings in a simple CSV format with the main parameters.

After that, hook it into the Hypatia and ns 3 workflow so the selected constellations can be turned into a satellite network setup and run through packet level simulation. I want the whole thing to be runnable from one script, with the optimization, export, simulation, and results collection happening in order.

Use Python 3.10, and if you need current setup details for Hypatia or ns 3, look them up online. Please also include basic documentation so I can understand how to run it and what outputs to expect.