# Path: apicultor/constraints/dynamic_range.py
# def dyn_constraint_satis(audio, variables, gain):
#     assert ((type(variables) is list) and len(variables) == 2)
#     audio[variables[0] < variables[1]] = gain  #noise gating: anything below a threshold is silenced     
#     audio[variables[0] > variables[1]] = 1
#     return audio
# 
# Path: apicultor/sonification/Sonification.py
# def normalize(signal):
#     maximum_normalizing = np.max(np.abs(signal))/-1 
#     normalized = np.true_divide(signal,maximum_normalizing)
#     return normalized
# 
# def write_file(filename, fs, data):           
#     write(filename+'.wav', fs, data) 
#     call(['ffmpeg', '-i', filename+'.wav', filename+'.ogg', '-y'])
#     call(['rm', '-f', filename+'.wav'])


from ..constraints.dynamic_range import dyn_constraint_satis
from ..utils.algorithms import *
from ..sonification.Sonification import normalize, write_file
from scipy.fftpack import fft, ifft, fftfreq
from scipy.signal import lfilter, fftconvolve, firwin
from soundfile import read
import numpy as np
import os
import sys
import logging
        print("\nBad amount of input arguments\n", Usage, "\n")
        sys.exit(1)


    try:
        DATA_PATH = sys.argv[1]
        RIAA = [[50.048724,2122.0659],[500.48724,np.inf]]
        abz = z_coeff(RIAA[0],RIAA[1],44100,0,10000) 

        if not os.path.exists(DATA_PATH):                         
            raise IOError("Must download sounds")

        for subdir, dirs, files in os.walk(DATA_PATH):                  
            for f in files:                                           
                print(( "Rewriting without hissing in %s"%f ))          
                audio = read(DATA_PATH+'/'+f)[0] 
                audio = mono_stereo(audio)              
                hissless = hiss_removal(audio) #remove hiss             
                print(( "Rewriting without crosstalk in %s"%f ))        
                hrtf = read(sys.argv[2])[0] #load the hrtf wav file                                          
                b = firwin(2, [0.05, 0.95], width=0.05, pass_zero=False)            
                convolved = fftconvolve(hrtf, b[np.newaxis, :], mode='valid') 
                left = convolved[:int(convolved.shape[0]/2), :] 
                right = convolved[int(convolved.shape[0]/2):, :]    
                h_sig_L = lfilter(left.flatten(), 1., audio)             
                h_sig_R = lfilter(right.flatten(), 1., audio)            
                del hissless  
                result = np.float32([h_sig_L, h_sig_R]).T               
                neg_angle = result[:,(1,0)]         
                panned = result + neg_angle

# Path: apicultor/constraints/dynamic_range.py
# def dyn_constraint_satis(audio, variables, gain):
#     assert ((type(variables) is list) and len(variables) == 2)
#     audio[variables[0] < variables[1]] = gain  #noise gating: anything below a threshold is silenced     
#     audio[variables[0] > variables[1]] = 1
#     return audio
# 
# Path: apicultor/sonification/Sonification.py
# def normalize(signal):
#     maximum_normalizing = np.max(np.abs(signal))/-1 
#     normalized = np.true_divide(signal,maximum_normalizing)
#     return normalized
# 
# def write_file(filename, fs, data):           
#     write(filename+'.wav', fs, data) 
#     call(['ffmpeg', '-i', filename+'.wav', filename+'.ogg', '-y'])
#     call(['rm', '-f', filename+'.wav'])


# Path: apicultor/machine_learning/quality.py
from ..constraints.dynamic_range import dyn_constraint_satis
from ..utils.algorithms import *
from ..sonification.Sonification import normalize, write_file
from scipy.fftpack import fft, ifft, fftfreq
from scipy.signal import lfilter, fftconvolve, firwin
from soundfile import read
import numpy as np
import os
import sys
import logging

        print("\nBad amount of input arguments\n", Usage, "\n")
        sys.exit(1)


    try:
        DATA_PATH = sys.argv[1]
        RIAA = [[50.048724,2122.0659],[500.48724,np.inf]]
        abz = z_coeff(RIAA[0],RIAA[1],44100,0,10000) 

        if not os.path.exists(DATA_PATH):                         
            raise IOError("Must download sounds")

        for subdir, dirs, files in os.walk(DATA_PATH):                  
            for f in files:                                           
                print(( "Rewriting without hissing in %s"%f ))          
                audio = read(DATA_PATH+'/'+f)[0] 
                audio = mono_stereo(audio)              
                hissless = hiss_removal(audio) #remove hiss             
                print(( "Rewriting without crosstalk in %s"%f ))        
                hrtf = read(sys.argv[2])[0] #load the hrtf wav file                                          
                b = firwin(2, [0.05, 0.95], width=0.05, pass_zero=False)            
                convolved = fftconvolve(hrtf, b[np.newaxis, :], mode='valid') 
                left = convolved[:int(convolved.shape[0]/2), :] 
                right = convolved[int(convolved.shape[0]/2):, :]    
                h_sig_L = lfilter(left.flatten(), 1., audio)             
                h_sig_R = lfilter(right.flatten(), 1., audio)            
                del hissless  
                result = np.float32([h_sig_L, h_sig_R]).T               
                neg_angle = result[:,(1,0)]         
                panned = result + neg_angle

                normalized = normalize(panned)  