"""
The generator.py module contains classes describing genetic populations
and methods to generate default aircraft.
"""

import random
import concurrent.futures

import creator
import evaluator


def default_fuselage():
    pass


def default_propulsion():
    pass


class Population():
    """Represents a collection of aircraft."""
    def __init__(self, size):
        self.aircrafts = []
        for i in range(size):
            self.aircrafts.append(creator.base.Aircraft.from_default())
        self.size = size
        self.results = None
        self.gen_number = 0  # incremented for every generation

    def evaluate(self):
        with concurrent.futures.ProcessPoolExecutor as executor:
            for aircraft in self.aircrafts:
                executor.submit(evaluator.analyze, aircraft)

    def mutate(self, prob_mt):
        """Randomly mutate the genes of prob_mt % of the population."""
    def crossover(self, prob_cx):
        """Combine the genes of prob_cx % of the population."""
    def reproduce(self, prob_rp):
        """Pass on the genes of the fittest prob_rp % of the population."""
    def fitness():
        """Rate the fitness of an individual on a relative scale (0-100)"""