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session_with_signals.py
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session_with_signals.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun May 1 09:20:09 2022
@author: max
"""
import World
import Agent
import Evolution
import csv
import os
session_name = 'with_signals'
# initialize constants and environment
constants = World.Constants()
environment = World.Environment( constants, session_name=session_name )
evoConst = Evolution.Constants()
# initialize some predators and prey
a = []
b = []
for i in range(constants.total_predator_agents):
a.append( Agent.SinglePredator( constants=constants, environment=environment, use_messages=False ) )
for i in range(constants.total_prey_agents):
b.append( Agent.PreyAgent( constants=constants, environment=environment, use_messages=True ) )
# append agents in environment
environment.set_predator_agents(a)
environment.set_prey_agents(b)
current_generation = 0
if not os.path.exists('figs'):
os.makedirs('figs')
if not os.path.exists('videos'):
os.makedirs('videos')
if not os.path.exists('data'):
os.makedirs('data')
if not os.path.exists('weights'):
os.makedirs('weights')
if not os.path.exists('figs/' + session_name):
os.makedirs('figs/' + session_name)
if not os.path.exists('videos/' + session_name):
os.makedirs('videos/' + session_name)
if not os.path.exists('data/' + session_name):
os.makedirs('data/' + session_name)
if not os.path.exists('weights/' + session_name):
os.makedirs('weights/' + session_name)
fields=['generation', 'iteration', 'predators', 'prey','food_min','food_mean', 'food_median', 'food_max']
with open('data/' + session_name + '/_summary.csv', 'w') as f:
writer = csv.writer(f)
writer.writerow(fields)
while current_generation < evoConst.total_generations_number:
print('generation: ' + str(current_generation) + '-----------------')
with open('data/' + session_name + '/details_generation_' + "{:05d}".format(current_generation) + '.csv', 'w') as f:
writer = csv.writer(f)
writer.writerow(fields)
environment.save_weights( generation=current_generation )
while len(environment.predator_agents) > evoConst.minPopulationSize and len(environment.prey_agents) > evoConst.minPopulationSize:
environment.update()
environment.plot_iteration(generation=current_generation)
print( str(current_generation) + '-' + str(environment.total_iterations) +'| predators: ' + str(len(environment.predator_agents)) + ' (' + "{:.2f}".format(environment.min_predator_food_level) + "/{:.2f}".format(environment.mean_predator_food_level)+ "/{:.2f}".format(environment.max_predator_food_level) + ') ' + '\t - prey: ' + str(len(environment.prey_agents)) )
# print( str(environment.total_iterations) + '|' + str(len(environment.predator_agents)) + '|' + str(len(environment.prey_agents)), end='---' )
with open('data/' + session_name + '/details_generation_' + "{:05d}".format(current_generation) + '.csv', 'a') as f:
writer = csv.writer(f)
writer.writerow([ current_generation, environment.total_iterations, len(environment.predator_agents), len(environment.prey_agents), environment.min_predator_food_level, environment.mean_predator_food_level, environment.median_predator_food_level, environment.max_predator_food_level ])
environment.save_video( generation=current_generation )
with open('data/' + session_name + '/_summary.csv', 'a') as f:
writer = csv.writer(f)
writer.writerow([ current_generation, environment.total_iterations, len(environment.predator_agents), len(environment.prey_agents), environment.min_predator_food_level, environment.mean_predator_food_level, environment.median_predator_food_level, environment.max_predator_food_level ])
environment.evolve()
current_generation += 1