main.py

import ray
import os
from navicatGA.base_solver import GenAlgSolver
from pathlib import Path

import sys

path=sys.argv[1]
sys.path.append(str(Path(__file__).parent))

from ucGA.fitness_evaluation.fitness_evaluation import calculate_fitness_uncertainty_aware_parallelized
from optimization import UncAGA_Runner
from config import Config



def main():
    #working_dir = "/home/student7/LucaSchaufelberger/MasterThesis/Paper_Data"
    working_dir = Path(__file__).parent
    python_path = os.environ.get('PYTHONPATH', '')
    
    
    # Append your working directory to PYTHONPATH
    python_path += f":{working_dir}"
    runtime_env = {
        "env_vars": {"PYTHONPATH": python_path}
    }
    
    # Set up parallelization
    ray.init(num_cpus=24,runtime_env=runtime_env)


    # Modifications to fitness function determination
    GenAlgSolver.calculate_fitness = calculate_fitness_uncertainty_aware_parallelized
    
    # load configuration class with parameters
    config = Config(path,-2) #exploitative in this case  
    
    # run the uncertainty-aware genetic algorithm (UncAGA)
    uncaga_runner = UncAGA_Runner(config)  
    uncaga_runner.run()  

if __name__ == "__main__":
    main()