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100 lines
3.6 KiB
100 lines
3.6 KiB
6 years ago
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import psutil
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import time
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import os
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import sys
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import numpy as np
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import argparse
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import re
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'''
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System tools like top/htop can only show current cpu usage values, so I write this script to do statistics jobs.
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Features:
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Use psutil library to sample cpu usage(avergage for all cores) of OpenPilot processes, at a rate of 5 samples/sec.
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Do cpu usage statistics periodically, 5 seconds as a cycle.
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Caculate the average cpu usage within this cycle.
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Caculate minumium/maximium/accumulated_average cpu usage as long term inspections.
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Monitor multiple processes simuteneously.
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Sample usage:
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root@localhost:/data/openpilot$ python selfdrive/debug/cpu_usage_stat.py boardd,ubloxd
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('Add monitored proc:', './boardd')
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('Add monitored proc:', 'python locationd/ubloxd.py')
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boardd: 1.96%, min: 1.96%, max: 1.96%, acc: 1.96%
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ubloxd.py: 0.39%, min: 0.39%, max: 0.39%, acc: 0.39%
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'''
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# Do statistics every 5 seconds
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PRINT_INTERVAL = 5
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SLEEP_INTERVAL = 0.2
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monitored_proc_names = [
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'ubloxd', 'thermald', 'uploader', 'controlsd', 'plannerd', 'radard', 'mapd', 'loggerd' , 'logmessaged', 'tombstoned',
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'logcatd', 'proclogd', 'boardd', 'pandad', './ui', 'calibrationd', 'locationd', 'visiond', 'sensord', 'updated', 'gpsd', 'athena']
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def get_arg_parser():
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parser = argparse.ArgumentParser(
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description="Unlogger and UI",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("proc_names", nargs="?", default='',
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help="Process names to be monitored, comma seperated")
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parser.add_argument("--list_all", nargs="?", type=bool, default=False,
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help="Show all running processes' cmdline")
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return parser
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if __name__ == "__main__":
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args = get_arg_parser().parse_args(sys.argv[1:])
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if args.list_all:
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for p in psutil.process_iter():
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print('cmdline', p.cmdline(), 'name', p.name())
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sys.exit(0)
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if len(args.proc_names) > 0:
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monitored_proc_names = args.proc_names.split(',')
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monitored_procs = []
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stats = {}
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for p in psutil.process_iter():
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if p == psutil.Process():
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continue
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matched = any([l for l in p.cmdline() if any([pn for pn in monitored_proc_names if re.match(r'.*{}.*'.format(pn), l, re.M | re.I)])])
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if matched:
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k = ' '.join(p.cmdline())
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print('Add monitored proc:', k)
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stats[k] = {'cpu_samples': [], 'avg_cpu': None, 'min': None, 'max': None}
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monitored_procs.append(p)
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i = 0
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interval_int = int(PRINT_INTERVAL / SLEEP_INTERVAL)
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while True:
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for p in monitored_procs:
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k = ' '.join(p.cmdline())
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stats[k]['cpu_samples'].append(p.cpu_percent())
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time.sleep(SLEEP_INTERVAL)
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i += 1
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if i % interval_int == 0:
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l = []
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avg_cpus = []
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for k, stat in stats.items():
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if len(stat['cpu_samples']) <= 0:
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continue
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avg_cpu = np.array(stat['cpu_samples']).mean()
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c = len(stat['cpu_samples'])
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stat['cpu_samples'] = []
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if not stat['avg_cpu']:
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stat['avg_cpu'] = avg_cpu
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else:
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stat['avg_cpu'] = (stat['avg_cpu'] * (c + i) + avg_cpu * c) / (c + i + c)
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if not stat['min'] or avg_cpu < stat['min']:
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stat['min'] = avg_cpu
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if not stat['max'] or avg_cpu > stat['max']:
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stat['max'] = avg_cpu
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msg = 'avg: {1:.2f}%, min: {2:.2f}%, max: {3:.2f}% {0}'.format(os.path.basename(k), stat['avg_cpu'], stat['min'], stat['max'])
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l.append((os.path.basename(k), avg_cpu, msg))
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avg_cpus.append(avg_cpu)
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l.sort(key= lambda x: -x[1])
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for x in l:
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print(x[2])
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print('avg sum: {0:.2f}%\n'.format(
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sum([stat['avg_cpu'] for k, stat in stats.items()])
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))
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