help="The path of the directory containing DNS data files to analyze")
parser.add_argument('summaries_file', type=str, nargs="?",
help="A file containing a dictionary of measurement_id : measurement_summary. If ommitted, summaries are obtained from internet.")
return parser.parse_args()
# Call the script by typing:
# $ 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':
help="The filename containing the data to print")
parser.add_argument('limit', type=int, nargs="?",
help="The max number of measurements results to print. If ommitted, all measurement results in the file will be printed.")
parser.add_argument('summaries_file', type=str, nargs="?",
help="A file containing a dictionary of measurement_id : measurement_summary. If ommitted, summaries are obtained from internet.")
return parser.parse_args()
# Call the script by typing:
# $ 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()
file_name = args.filename
limit = args.limit
summaries_file = args.summaries_file
measurement_file = Measurement_File(file_name)
measurement_id = measurement_file.get_measurement_id_from_file()
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':
a_measurement = DNS_Measurement(file_name, measurement_id, measurement_summary, measurement_type)
elif measurement_type == 'ping':
a_measurement = Ping_Measurement(file_name, measurement_id, measurement_summary, measurement_type)
elif measurement_type == 'traceroute':
a_measurement = Traceroute_Measurement(file_name, measurement_id, measurement_summary, measurement_type)
else:
a_measurement = Measurement(file_name, measurement_id, measurement_summary, measurement_type)
a_measurement.print_nicely(limit)
help=
"A file containing a dictionary of measurement_id : measurement_summary. If ommitted, summaries are obtained from internet."
)
return parser.parse_args()
# Call the script by typing:
# $ 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)