import soundbox
import numpy as np
import scipy.signal as sig
import matplotlib
import matplotlib.pyplot as plt
import sys

if len(sys.argv) != 3:
    print(f"""Utilisation: {sys.argv[0]} [source] [output]

Génère le sonagramme du fichier [source] dans le fichier [output].""")
    sys.exit(1)

source_file = sys.argv[1]
output_file = sys.argv[2]

# Calcul du STFT
signal = soundbox.load_signal(source_file)
freq, time, fts = sig.stft(signal, soundbox.samp_rate, nperseg=soundbox.samp_rate * 0.5)

# Génération du graphe
plt.rcParams.update({
    'figure.figsize': (8, 8),
    'font.size': 16,
    'font.family': 'Concourse T4',
})

fig, ax = plt.subplots()
ax.tick_params(axis='both', which='major', labelsize=12)
ax.pcolormesh(
    time, freq,
    np.abs(fts),
    cmap='plasma',
    shading='gouraud')


def time_format(value, pos):
    return f'{value:.0f} s'


def freq_format(value, pos):
    return f'{value:.0f} Hz'


ax.set_xlabel('Temps')
ax.xaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(time_format))

ax.set_ylabel('Fréquence')
ax.set_ylim(0, 800)
ax.yaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(freq_format))

# Sauvegarde comme image
plt.tight_layout()
plt.savefig(output_file)