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openpilot v0.7.7 release

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Vehicle Researcher
2020-07-14 21:26:01 +00:00
committed by Adeeb Shihadeh
parent 9e7fb4680d
commit b205dd6954
751 changed files with 4845 additions and 114080 deletions
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selfdrive/debug/cpu_usage_stat.py
+14 -13
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@@ -1,18 +1,9 @@
#!/usr/bin/env python3
# type: ignore
import psutil
import time
import os
import sys
import numpy as np
import argparse
import re
from collections import defaultdict
'''
System tools like top/htop can only show current cpu usage values, so I write this script to do statistics jobs.
Features:
Use psutil library to sample cpu usage(avergage for all cores) of OpenPilot processes, at a rate of 5 samples/sec.
Use psutil library to sample cpu usage(avergage for all cores) of openpilot processes, at a rate of 5 samples/sec.
Do cpu usage statistics periodically, 5 seconds as a cycle.
Caculate the average cpu usage within this cycle.
Caculate minumium/maximium/accumulated_average cpu usage as long term inspections.
@@ -24,18 +15,28 @@ System tools like top/htop can only show current cpu usage values, so I write th
boardd: 1.96%, min: 1.96%, max: 1.96%, acc: 1.96%
ubloxd.py: 0.39%, min: 0.39%, max: 0.39%, acc: 0.39%
'''
import psutil
import time
import os
import sys
import numpy as np
import argparse
import re
from collections import defaultdict
# Do statistics every 5 seconds
PRINT_INTERVAL = 5
SLEEP_INTERVAL = 0.2
monitored_proc_names = [
'ubloxd', 'thermald', 'uploader', 'deleter', 'controlsd', 'plannerd', 'radard', 'mapd', 'loggerd' , 'logmessaged', 'tombstoned',
'logcatd', 'proclogd', 'boardd', 'pandad', './ui', 'ui', 'calibrationd', 'params_learner', 'modeld', 'dmonitoringmodeld', 'camerad', 'sensord', 'updated', 'gpsd', 'athena']
'ubloxd', 'thermald', 'uploader', 'deleter', 'controlsd', 'plannerd', 'radard', 'mapd', 'loggerd', 'logmessaged', 'tombstoned',
'logcatd', 'proclogd', 'boardd', 'pandad', './ui', 'ui', 'calibrationd', 'params_learner', 'modeld', 'dmonitoringmodeld', 'camerad', 'sensord', 'updated', 'gpsd', 'athena']
cpu_time_names = ['user', 'system', 'children_user', 'children_system']
timer = getattr(time, 'monotonic', time.time)
def get_arg_parser():
parser = argparse.ArgumentParser(
description="Unlogger and UI",
@@ -113,7 +114,7 @@ if __name__ == "__main__":
for stat_type in ['avg', 'min', 'max']:
msg += '\n {}: {}'.format(stat_type, [name + ':' + str(round(stat[stat_type][name]*100, 2)) for name in cpu_time_names])
l.append((os.path.basename(k), stat['avg']['total'], msg))
l.sort(key= lambda x: -x[1])
l.sort(key=lambda x: -x[1])
for x in l:
print(x[2])
print('avg sum: {0:.2%} over {1} samples {2} seconds\n'.format(