import os
import sys
import tempfile
import configparser
import subprocess


## ======================= user define =======================
repo_dir = 'C:\\Users\\Aki\\source\\repos\\acoustic_model'
curr_dir = repo_dir + '\\acoustic_model'
config_ini = curr_dir + '\\config.ini'
output_dir = 'd:\\OneDrive\\Research\\rug\\experiments\\friesian\\acoustic_model'

sys.path.append(os.path.join(os.path.dirname(sys.path[0]), curr_dir))


import acoustic_model_functions as am_func


## ======================= load variables =======================

config = configparser.ConfigParser()
config.sections()
config.read(config_ini)

config_hcopy = config['Settings']['config_hcopy']
config_train = config['Settings']['config_train']
FAME_dir	 = config['Settings']['FAME_dir']

dataset_list = ['devel', 'test', 'train']


## ======================= extract features =======================
##dataset = dataset_list[0]
#for dataset in dataset_list:
#	print(dataset)
	
	## make a script file for HCopy 
	#hcopy_scp = tempfile.NamedTemporaryFile(mode='w', delete=False)
	#hcopy_scp.close()

	## using the wav_scp in FAME! corpus
	#feature_dir = output_dir + '\\mfc\\' + dataset
	#am_func.make_hcopy_scp_from_filelist_in_fame(FAME_dir, dataset, feature_dir, hcopy_scp.name)

	## extract features
	#subprocessStr = 'HCopy -C ' + config_hcopy + ' -S ' + hcopy_scp.name
	#subprocess.call(subprocessStr, shell=True)

	#os.remove(hcopy_scp.name)


## ======================= make a list of features =======================
##dataset = dataset_list[2]
#for dataset in dataset_list:
#	print(dataset)

#	feature_dir = output_dir + '\\mfc\\' + dataset
#	hcompv_scp  = output_dir + '\\scp\\' + dataset + '.scp'

#	am_func.make_filelist(feature_dir, hcompv_scp)


## ======================= check the phonemes used in the lexicon =======================
lex_file = FAME_dir + '\\lexicon\\lex.asr'
phonelist = am_func.get_phonelist(lex_file)