def run(self):
path_split = self.path.split(os.get_path_seperator())
backup_name = path_split[len(path_split) - 1]
backup_name = backup_name.split('.')[0]
backup = os.copy_file(self.path,
f"{backup_name}{self.backup_name_index}.bak")
with open(self.path, 'w') as data_file:
with open(backup) as backup_file:
data_file.write(backup_file.readline())
data_reading = backup_file.readline()
index = 0
while index < self.readings and data_reading != "":
data_file.write(data_reading)
data_reading = backup_file.readline()
index += 1
os.remove_file(backup)
def _calc_labels_loc(self, path):
splitted = path.split(os.get_path_seperator())
label_path = f"{splitted[0]}{os.get_path_seperator()}{splitted[1]}"
for path_elem in range(2, len(splitted) - 1):
label_path = os.path_join(label_path, splitted[path_elem])
path_name = f"{splitted[len(splitted) - 1][:-4]}_labels.csv"
return path, os.path_join(label_path, path_name)
def _training_loc(self, res_loc):
path_split = res_loc.split(os.get_path_seperator())
training_path = f"{path_split[0]}{os.get_path_seperator()}{path_split[1]}"
for x in range(2, len(path_split) - 1):
training_path = os.path_join(training_path, path_split[x])
training_path = os.path_join(training_path, "training")
os.makedirs(training_path, True)
return os.path_join(training_path,
f"{path_split[len(path_split) - 1]}.csv")