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							83 lines
						
					
					
						
							1.9 KiB
						
					
					
				
			
		
		
	
	
							83 lines
						
					
					
						
							1.9 KiB
						
					
					
				| #!/usr/bin/env python
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| import os
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| import sys
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| import matplotlib.pyplot as plt
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| import numpy as np
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| import cereal.messaging as messaging
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| import time
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| 
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| 
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| # tool to plot one or more signals live. Call ex:
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| #./rqplot.py log.carState.vEgo log.carState.aEgo
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| 
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| # TODO: can this tool consume 10x less cpu?
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| 
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| def recursive_getattr(x, name):
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|    l = name.split('.')
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|    if len(l) == 1:
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|      return getattr(x, name)
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|    else:
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|      return recursive_getattr(getattr(x, l[0]), ".".join(l[1:]) )
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| 
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| 
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| if __name__ == "__main__":
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|   poller = messaging.Poller()
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| 
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|   services = []
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|   fields = []
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|   subs = []
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|   values = []
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| 
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|   plt.ion()
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|   fig, ax = plt.subplots()
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|   #fig = plt.figure(figsize=(10, 15))
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|   #ax = fig.add_subplot(111)
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|   ax.grid(True)
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|   fig.canvas.draw()
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| 
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|   subs_name = sys.argv[1:]
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|   lines = []
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|   x, y = [], []
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|   LEN = 500
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| 
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|   for i, sub in enumerate(subs_name):
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|     sub_split = sub.split(".")
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|     services.append(sub_split[0])
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|     fields.append(".".join(sub_split[1:]))
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|     subs.append(messaging.sub_sock(sub_split[0], poller))
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| 
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|     x.append(np.ones(LEN)*np.nan)
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|     y.append(np.ones(LEN)*np.nan)
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|     lines.append(ax.plot(x[i], y[i])[0])
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| 
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|   for l in lines:
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|     l.set_marker("*")
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| 
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|   cur_t = 0.
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|   ax.legend(subs_name)
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|   ax.set_xlabel('time [s]')
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| 
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|   while 1:
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|     print(1./(time.time() - cur_t))
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|     cur_t = time.time()
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|     for i, s in enumerate(subs):
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|       msg = messaging.recv_sock(s)
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|       #msg = messaging.recv_one_or_none(s)
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|       if msg is not None:
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|         x[i] = np.append(x[i], getattr(msg, 'logMonoTime') / float(1e9))
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|         x[i] = np.delete(x[i], 0)
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|         y[i] = np.append(y[i], recursive_getattr(msg, subs_name[i]))
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|         y[i] = np.delete(y[i], 0)
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| 
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|         lines[i].set_xdata(x[i])
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|         lines[i].set_ydata(y[i])
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| 
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|     ax.relim()
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|     ax.autoscale_view(True, scaley=True, scalex=True)
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| 
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|     fig.canvas.blit(ax.bbox)
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|     fig.canvas.flush_events()
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| 
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|     # just a bit of wait to avoid 100% CPU usage
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|     time.sleep(0.001)
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| 
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| 
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