blob: 3be225226b7e07f96350b3eac272565281c3df3c [file] [log] [blame] [edit]
#!/usr/bin/env python3
import argparse
import re
import sys
def main(argv):
parser = argparse.ArgumentParser(
prog='parse-time-output',
description='Parse the output of /usr/bin/time and output it in LNT-compatible format.')
parser.add_argument('input_file', type=argparse.FileType('r'), default='-',
help='Path of the file to extract results from. By default, stdin.')
parser.add_argument('--benchmark', type=str, required=True,
help='The name of the benchmark to use in the resulting LNT output.')
parser.add_argument('--extract', type=str, choices=['instructions', 'max_rss', 'cycles', 'peak_memory'], nargs='+',
help='The name of the metrics to extract from the time output.')
args = parser.parse_args(argv)
# Mapping from metric names to field names in the time output.
field_mapping = {
'instructions': 'instructions retired',
'max_rss': 'maximum resident set size',
'cycles': 'cycles elapsed',
'peak_memory': 'peak memory footprint',
}
to_extract = [field_mapping[e] for e in args.extract]
metrics = {}
for line in args.input_file:
match = re.match(r'\s*(\d+)\s+(\w+.*)', line)
if match is not None:
time_desc = match.group(2)
for metric, desc in field_mapping.items():
if time_desc == desc:
metrics[metric] = int(match.group(1))
break
for metric, value in metrics.items():
print(f'{args.benchmark}.{metric} {value}')
if __name__ == '__main__':
main(sys.argv[1:])