#
# 2017/09/25
# select samples from the combined.csv for the further analysis
#
# HISTORY
# 2017/10/02 modularized.
# 
# Aki Kunikoshi
# 428968@gmail.com
#
import numpy as np

def readFile(filename):
    with open(filename, 'r') as fin:
        lines = fin.read()
    linesEach = lines.split('\n')
    return linesEach


def selectSamplesFromCombinedData(word, fileCombined):
    # load combined data 
	fin = open(fileCombined, 'r')
	line = fin.readline()

    # load data per region
	dataGroningen = []
	dataLimburg   = []
	dataOverijsel = []
	while line:
		line = fin.readline()
		line = line.rstrip()
		lineList = line.split(',')
		if len(lineList) == 6 and lineList[5] == word:
			region = lineList[2]
			if region == 'Groningen_and_Drenthe':
				dataGroningen.append(lineList)
			elif region == 'Limburg':
				dataLimburg.append(lineList)
			elif region == 'Oost_Overijsel-Gelderland':
				dataOverijsel.append(lineList)
	fin.close()
	return (dataGroningen, dataLimburg, dataOverijsel)
    #print("{0}: {1} {2} {3}".format(word,len(listGroningen),len(listLimburg),len(listOverijsel))


def groupSamplesInCSV(fileCSV, idxRegion):
	fin = open(fileCSV, 'r')

	# first line is the header
	line = fin.readline()
	line = line.rstrip()
	header = line.split(',')

	# load data per region
	dataGroningen = []
	dataLimburg   = []
	dataOverijsel = []
	while line:
		line = fin.readline()
		line = line.rstrip()
		lineList = line.split(',')
		if len(lineList) == len(header):
			region = lineList[idxRegion]
			if region == 'Groningen_and_Drenthe':
				dataGroningen.append(lineList)
			elif region == 'Limburg':
				dataLimburg.append(lineList)
			elif region == 'Oost_Overijsel-Gelderland':
				dataOverijsel.append(lineList)
	fin.close()
	return (header, dataGroningen, dataLimburg, dataOverijsel)

def addUserID(featureFile, recordingsCSV):
	dirFeature = config['sentence_based']['dirFeature']