#!/usr/bin/env python
"""
A simple command line wrapper around the genetic algorithm used for evolving
target words. For demonstration / educational use only (i.e. it has no useful
purpose).
"""

import argparse
import logging

from foox import ga, version, words


parser = argparse.ArgumentParser(
    description='Evolves words to demonstrate how genetic algorithms work.')
parser.add_argument('--version', action='version',
    version=version.get_version())
parser.add_argument('-v', '--verbose', help='increased amount of verbosity.',
    action='store_true')
parser.add_argument('-w', '--word', help='The word to attempt to evolve.',
    required=True, type=str)
parser.add_argument('-p', '--population', help='The population size to use.',
    required=False, type=int)


if __name__ == '__main__':
    args = parser.parse_args()
    word = args.word.lower()
    size = 10
    if args.population:
        size = args.population
    start_population = words.create_population(size, word)
    fitness_function = words.make_fitness_function(word)
    generate_function = words.make_generate_function(0.2, 8, word)
    ga = ga.genetic_algorithm(start_population, fitness_function,
        generate_function, words.halt)
    for generation in ga:
        print [''.join(x.chromosome) for x in generation]
        fitness = generation[0].fitness
        w = ''.join(generation[0].chromosome)
        print "%s %d" % (w, fitness)