# Tk_audio_generator2.py

# Tk_audio_generator2.py ZZZ not near what I hope for, but... will most likely do from data training

dir='C://py//audio//samples//'

ww = 600
hh = 600

try:
    from Tkinter import *
except:
    from tkinter import *
import random

import wave
import math
import struct

sample_rate = 44100
duration = 1 # 1 second of audio
SAMPLE_LEN = sample_rate * duration

# -32767 to 32767
for_amp = 32767

root = Tk()
canvas = Canvas(root, width=ww, height=hh, bg='white')
canvas.pack()

def save_wave(packed_value):
    sss = str(frequency)+'_'+str(0)
    noise_output = wave.open(dir+sss+'.wav', 'w')
    noise_output.setparams((2, 2, sample_rate, 0, 'NONE', 'not compressed'))
    noise_output.writeframes('\n'.join(packed_value))
    noise_output.close()

def draw_wave(values):
    canvas.delete(ALL)
    canvas.create_line(values, fill='red')
    canvas.update()

amplitude = 0.12
for frequency in range(1,20000):
    graph = []
    sound = []
    for bit in range(SAMPLE_LEN*2):
        amp = math.sin((bit+16)**amplitude*frequency)
        b = bit*0.1
        data = (amp+math.sin(b*frequency)+math.sin(b*(frequency+2)))/3
        graph += [(bit,data*(hh-10/2-bit)+hh/2)]
        sound += [struct.pack('h', data*100)]
    draw_wave(graph)
    save_wave(sound)