# $ python explore_data.py filename [limit] [summaries_file]
# where filename is the name of a file containing a ripe atlas response
if __name__ == "__main__":
args = parse_args()
summaries_file = args.summaries_file
csv_file = join(args.csv_path, CSV_FILE_NAME)
data_path = args.data_path
list_of_headings = DNS_Measurement.get_qtype_headings()
Measurements.prep_csv_file(csv_file, list_of_headings)
list_of_entries = listdir(data_path)
list_of_files = [f for f in list_of_entries if isfile(join(data_path, f))]
for this_file in list_of_files:
measurement_file = Measurement_File(this_file)
measurement_id = measurement_file.get_measurement_id_from_file()
if measurement_id == None:
print(this_file + " appears to be empty. Skipping.")
continue
measurement_summary = measurement_file.get_measurement_summary_from_file(
measurement_id, summaries_file)
measurement_type = measurement_file.get_measurement_type_from_summary(
measurement_summary)
if measurement_type == 'dns':
dns_measurement = DNS_Measurement(this_file, measurement_id,
measurement_summary,
measurement_type)
dns_measurement.write_qtypes_to_csv(csv_file)
