import sys import os import datetime import matplotlib # Allow running headless from the command line matplotlib.use("agg") from numpy import * from pylab import * DOY = [] Trk = [] used = [] BM = [] LM = [] MM = [] PVT = [] LDPC = [] AJ = [] ACQ = [] if(len(sys.argv) != 2): print("Usage:\n python plotTrend.py directory") print(" Where directory is where the stats data is located and the output will be written") sys.exit(1) else: localDir = sys.argv[1] if(not os.path.exists(localDir)): print("Dir " + localDir + " doesn't exist") sys.exit(1) if(os.path.isfile(localDir + '/loadStinger.txt')): fid = open(localDir + '/loadStinger.html','w') fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") with open(localDir + '/loadStinger.txt','r') as f: for line in f: data = line.rstrip().split() DOY.append( ( datetime.datetime((int)(data[0]), (int)(data[1]), (int)(data[2]), 0, 0) - datetime.datetime(2018,1,1)).days ) Trk.append(float(data[3])) used.append(float(data[4])) BM.append(float(data[5])) LM.append(float(data[6])) MM.append(float(data[7])) PVT.append(float(data[8])) LDPC.append(float(data[9])) AJ.append(float(data[10])) ACQ.append(float(data[11])) fid.write( "") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("

Date	DOY	SVs Tracked	SVs Used	BM	LM	MM	PVT	LDPC	AJ	ACQ
" + data[0] + "-" + data[1].zfill(2) + "-" + data[2].zfill(2) + "	" + str(DOY[-1]) + "	" + data[3] + "	" + data[4] + "	" + data[5] + "	" + data[6] + "	" + data[7] + "	" + data[8] + "	" + data[9] + "	" + data[10] + "	" + data[11] + "
Date	DOY	SVs Tracked	SVs Used	BM	LM	MM	PVT	LDPC	AJ	ACQ

") fid.close() fig=figure() ax=fig.add_subplot(111) plot( array(DOY), array(ACQ),'bx', label='ACQ') plot( array(DOY), array(BM),'rx', label='BM') plot( array(DOY), array(LM),'yx', label='LM') plot( array(DOY), array(MM),'mx', label='MM') plot( array(DOY), array(PVT),'cx', label='PVT') plot( array(DOY), array(LDPC),'kx', label='LDPC') plot( array(DOY), array(AJ),'gx', label='AJ') plot( array(DOY), array(Trk),'r', label='SVs Tracked') plot( array(DOY), array(used),'b', label='SVs Used') xlabel('Time [Day since start of 2018]') ylabel('CPU Load [%]') grid(True) legend() tight_layout() # Prevent the axis numers having an offset ax.get_xaxis().get_major_formatter().set_useOffset(False) ax.get_yaxis().get_major_formatter().set_useOffset(False) show() # Save the data as a PNG file savefig(localDir + "/StingerTrend.png",dpi=150) close() DOY = [] Trk = [] used = [] Stinger = [] App = [] RTK = [] Reserve = [] if(os.path.isfile(localDir + '/loadStats.txt')): fid = open(localDir + '/loadStats.html','w') fid.write("") fid.write("") fid.write("") fid.write("") with open(localDir + '/loadStats.txt','r') as f: for line in f: data = line.rstrip().split() DOY.append( ( datetime.datetime((int)(data[0]), (int)(data[1]), (int)(data[2]), 0, 0) - datetime.datetime(2018,1,1)).days ) Trk.append(float(data[3])) used.append(float(data[4])) Stinger.append(float(data[5])) App.append(float(data[6])) RTK.append(float(data[7])) Reserve.append(float(data[8])) fid.write( "") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("") fid.write("

Date	DOY	SVs Tracked	SVs Used	Stinger	App	RTK	Reserve
" + data[0] + "-" + data[1].zfill(2) + "-" + data[2].zfill(2) + "	" + str(DOY[-1]) + "	" + data[3] + "	" + data[4] + "	" + data[5] + "	" + data[6] + "	" + data[7] + "	" + data[8] + "
Date	DOY	SVs Tracked	SVs Used	Stinger	App	RTK	Reserve

") fid.close() fig=figure() ax=fig.add_subplot(111) plot( array(DOY), array(Stinger),'bx', label='Stinger') plot( array(DOY), array(App),'rx', label='App') plot( array(DOY), array(RTK),'yx', label='RTK') plot( array(DOY), array(Reserve),'mx', label='Reserve') plot( array(DOY), array(Trk),'r', label='SVs Tracked') plot( array(DOY), array(used),'b', label='SVs Used') xlabel('Time [Day since start of 2018]') ylabel('CPU Load [%]') grid(True) legend() tight_layout() # Prevent the axis numers having an offset ax.get_xaxis().get_major_formatter().set_useOffset(False) ax.get_yaxis().get_major_formatter().set_useOffset(False) show() # Save the data as a PNG file savefig(localDir + "/RxTrend.png",dpi=150) close()