You can not select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
					
					
						
							50 lines
						
					
					
						
							1.3 KiB
						
					
					
				
			
		
		
	
	
							50 lines
						
					
					
						
							1.3 KiB
						
					
					
				#!/usr/bin/env python3
 | 
						|
import argparse
 | 
						|
import numpy as np
 | 
						|
import time
 | 
						|
from collections import defaultdict, deque
 | 
						|
from collections.abc import MutableSequence
 | 
						|
 | 
						|
import cereal.messaging as messaging
 | 
						|
 | 
						|
 | 
						|
if __name__ == "__main__":
 | 
						|
  context = messaging.Context()
 | 
						|
  poller = messaging.Poller()
 | 
						|
 | 
						|
  parser = argparse.ArgumentParser()
 | 
						|
  parser.add_argument("socket", type=str, nargs='*', help="socket name")
 | 
						|
  args = parser.parse_args()
 | 
						|
 | 
						|
  socket_names = args.socket
 | 
						|
  sockets = {}
 | 
						|
 | 
						|
  rcv_times: defaultdict[str, MutableSequence[float]] = defaultdict(lambda: deque(maxlen=100))
 | 
						|
  valids: defaultdict[str, deque[bool]] = defaultdict(lambda: deque(maxlen=100))
 | 
						|
 | 
						|
  t = time.monotonic()
 | 
						|
  for name in socket_names:
 | 
						|
    sock = messaging.sub_sock(name, poller=poller)
 | 
						|
    sockets[sock] = name
 | 
						|
 | 
						|
  prev_print = t
 | 
						|
  while True:
 | 
						|
    for socket in poller.poll(100):
 | 
						|
      msg = messaging.recv_one(socket)
 | 
						|
      if msg is None:
 | 
						|
        continue
 | 
						|
 | 
						|
      name = msg.which()
 | 
						|
 | 
						|
      t = time.monotonic()
 | 
						|
      rcv_times[name].append(msg.logMonoTime / 1e9)
 | 
						|
      valids[name].append(msg.valid)
 | 
						|
 | 
						|
    if t - prev_print > 1:
 | 
						|
      print()
 | 
						|
      for name in socket_names:
 | 
						|
        dts = np.diff(rcv_times[name])
 | 
						|
        mean = np.mean(dts)
 | 
						|
        print(f"{name}: Freq {1.0 / mean:.2f} Hz, Min {np.min(dts) / mean * 100:.2f}%, Max {np.max(dts) / mean * 100:.2f}%, valid ", all(valids[name]))
 | 
						|
 | 
						|
      prev_print = t
 | 
						|
 |