from matplotlib import pyplot as plt
from libs.simulated_annealing import SimulatedAnnealing, distance, total_distance

cities = [[565, 575], [25, 185], [345, 750], [945, 685], [845, 655], [880, 660], [25, 230], [525, 1000], [580, 1175], [650, 1130], [1605, 620], [1220, 580], [1465, 200], [1530, 5], [845, 680], [725, 370], [145, 665], [415, 635], [510, 875], [560, 365], [300, 465], [520, 585], [480, 415], [835, 625], [975, 580], [1215, 245], [1320, 315], [1250, 400], [660, 180], [410, 250], [420, 555], [575, 665], [1150, 1160], [700, 580], [685, 595], [685, 610], [770, 610], [795, 645], [720, 635], [760, 650], [475, 960], [95, 260], [875, 920], [700, 500], [555, 815], [830, 485], [1170, 65], [830, 610], [605, 625], [595, 360], [1340, 725], [1740, 245]]
optimal = 7542

temperature = 10000
cooling_rate = 0.999
temperature_ok = 0.01
max_times = [1, 2, 5]
iterations = 2

best_distances = []
times = []
colors = [
    '#1f77b4',  # Bleu moyen
    '#ff7f0e',  # Orange
    '#2ca02c',  # Vert
    '#d62728',  # Rouge
    '#9467bd',  # Violet
    '#8c564b',  # Marron
    '#e377c2',  # Rose
    '#7f7f7f',  # Gris
    '#bcbd22',  # Vert olive
    '#17becf',  # Turquoise
    '#1b9e77',  # Vert Teal
    '#d95f02',  # Orange foncé
    '#7570b3',  # Violet moyen
    '#e7298a',  # Fuchsia
    '#66a61e',  # Vert pomme
    '#e6ab02',  # Jaune or
    '#a6761d',  # Bronze
    '#666666',  # Gris foncé
    '#f781bf',  # Rose clair
    '#999999',  # Gris moyen
]

for max_time in max_times:
    for iteration in range(iterations):
        simulated_annealing = SimulatedAnnealing(cities, temperature=10000, cooling_rate=0.999, temperature_ok=0.01)
        print("Running iteration number {}/{} ({} sec)".format(iteration + 1, iterations, max_time))
        best_distance, best_route = SimulatedAnnealing.run()
        best_distances.append([best_distance, colors[max_times.index(max_time) % len(colors)]])
        times.append(max_time)

title = ""
title += "Best distance per iterations\n"
title += "Temperature: " + str(temperature) + " "
title += "Cooling rate: " + str(cooling_rate) + " "
title += "Temperature ok: " + str(temperature_ok) + " "
plt.title(title)
plt.xlabel('Iteration')
plt.ylabel('Distance')
plt.axhline(y=optimal, color='r')

distances = [x[0] for x in best_distances]  # Extractions des valeurs

for best_distance in best_distances:
    print(best_distance)
max_dist = max(distances)
plt.ylim(0, max_dist+max_dist*0.2)

values = [item[0] for item in best_distances]
colors = [item[1] for item in best_distances]

bars = plt.bar(range(len(values)), values, color=colors)

for i, bar in enumerate(bars):
    yval = bar.get_height()
    plt.text(bar.get_x() + bar.get_width()/2, yval + 0.05, 
             "dist: {}\ntime: {}s".format(int(yval), times[i]), 
             rotation=75, ha='center', va='bottom')

plt.xticks(range(len(values)), [str(i+1) for i in range(len(values))])

plt.show()