106 lines
2.8 KiB
Python
Executable File
106 lines
2.8 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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from cereal.messaging import SubMaster
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from common.numpy_fast import mean
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def cputime_total(ct):
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return ct.user + ct.nice + ct.system + ct.idle + ct.iowait + ct.irq + ct.softirq
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def cputime_busy(ct):
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return ct.user + ct.nice + ct.system + ct.irq + ct.softirq
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def proc_cputime_total(ct):
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return ct.cpuUser + ct.cpuSystem + ct.cpuChildrenUser + ct.cpuChildrenSystem
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def proc_name(proc):
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name = proc.name
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if len(proc.cmdline):
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name = proc.cmdline[0]
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if len(proc.exe):
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name = proc.exe + " - " + name
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return name
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--mem', action='store_true')
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parser.add_argument('--cpu', action='store_true')
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args = parser.parse_args()
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sm = SubMaster(['deviceState', 'procLog'])
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last_temp = 0.0
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last_mem = 0.0
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total_times = [0.]*8
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busy_times = [0.]*8
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prev_proclog = None
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prev_proclog_t = None
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while True:
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sm.update()
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if sm.updated['deviceState']:
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t = sm['deviceState']
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last_temp = mean(t.cpuTempC)
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last_mem = t.memoryUsagePercent
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if sm.updated['procLog']:
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m = sm['procLog']
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cores = [0.]*8
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total_times_new = [0.]*8
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busy_times_new = [0.]*8
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for c in m.cpuTimes:
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n = c.cpuNum
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total_times_new[n] = cputime_total(c)
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busy_times_new[n] = cputime_busy(c)
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for n in range(8):
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t_busy = busy_times_new[n] - busy_times[n]
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t_total = total_times_new[n] - total_times[n]
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cores[n] = t_busy / t_total
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total_times = total_times_new[:]
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busy_times = busy_times_new[:]
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print(f"CPU {100.0 * mean(cores):.2f}% - RAM: {last_mem:.2f}% - Temp {last_temp:.2f}C")
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if args.cpu and prev_proclog is not None:
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procs = {}
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dt = (sm.logMonoTime['procLog'] - prev_proclog_t) / 1e9
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for proc in m.procs:
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try:
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name = proc_name(proc)
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prev_proc = [p for p in prev_proclog.procs if proc.pid == p.pid][0]
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cpu_time = proc_cputime_total(proc) - proc_cputime_total(prev_proc)
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cpu_usage = cpu_time / dt * 100.
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procs[name] = cpu_usage
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except IndexError:
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pass
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print("Top CPU usage:")
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for k, v in sorted(procs.items(), key=lambda item: item[1], reverse=True)[:10]:
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print(f"{k.rjust(70)} {v:.2f} %")
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print()
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if args.mem:
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mems = {}
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for proc in m.procs:
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name = proc_name(proc)
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mems[name] = float(proc.memRss) / 1e6
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print("Top memory usage:")
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for k, v in sorted(mems.items(), key=lambda item: item[1], reverse=True)[:10]:
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print(f"{k.rjust(70)} {v:.2f} MB")
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print()
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prev_proclog = m
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prev_proclog_t = sm.logMonoTime['procLog']
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