def get_all_accounts(csv_path, keyIndex):
"""
#@Arguments:
#csv_path = Path string for the .csv file which contains all accounts information.
#keyIndex = The integer representing the index position for screen_name in the csv file
#op = mode for writing the output file, 'w' by default. If none found, a new one is created
#Return: None, only writes information on file
"""
pu.set_unicode()
#accounts = file_loader.loadCSV(csv_path, keyIndex)
header = "group;subgroup;name;screen_name;lang;twitter_id;"
header += "followers_count;listed_count;statuses_count;friends_count;favourites_count;"
header += "url;created_at;time_zone\n"
#Creating files which will contain information about all accounts and their file path which will contain the followers
f_index = file_loader.loadPath(_output_path+'index.txt')
f_csv = file_loader.loadPath(_output_path+'all-users.csv')
f_csv.write(header)
total = len(accounts)
i = 0
#Iterating over the dictionary with all accounts
for screen_name in accounts.keys():
p = Person()
#If the user is labeled in more than one group/subgroup, it will be considered the last one
user = accounts[screen_name].pop()
p_path = _output_path+user['group']+'/'+user['subgroup']+'/'+screen_name+".txt"
info = get_user_info(screen_name)
#if twitter account exists, PS: user data is at info[0]:
if info is not False:
f_index.write(p_path+'\n')
save_user_info(p, info[0], user['group'], user['subgroup'], header, p_path)
f_csv.write(str(p))
i = i + 1
#Printing the progress on the screen
print 'Status: ', str(round(100*float(i)/total,2))+'% completed'
f_index.close()
f_csv.close()
