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annotate logpps.py @ 83:4cc3d0706dd1

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author Daniel O'Connor <doconnor@gsoft.com.au>
date Thu, 03 Oct 2024 08:56:07 +0930
parents 6ffa6fcf278e
children
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1 #!/usr/bin/env python
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2
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3 # Copyright (c) 2021
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4 # Daniel O'Connor <darius@dons.net.au>. All rights reserved.
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5 #
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6 # Redistribution and use in source and binary forms, with or without
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7 # modification, are permitted provided that the following conditions
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8 # are met:
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9 # 1. Redistributions of source code must retain the above copyright
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10 # notice, this list of conditions and the following disclaimer.
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11 # 2. Redistributions in binary form must reproduce the above copyright
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12 # notice, this list of conditions and the following disclaimer in the
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13 # documentation and/or other materials provided with the distribution.
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14 #
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15 # THIS SOFTWARE IS PROVIDED BY AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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16 # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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17 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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18 # ARE DISCLAIMED. IN NO EVENT SHALL AUTHOR OR CONTRIBUTORS BE LIABLE
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19 # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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20 # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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21 # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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22 # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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23 # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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24 # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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25 # SUCH DAMAGE.
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26 #
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27 # Expected DB schema
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28 # CREATE TABLE ppslog (
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29 # name TEXT,
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30 # time TIMESTAMP WITH TIME ZONE,
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31 # delta12 NUMERIC(15, 12),
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32 # delta13 NUMERIC(15, 12)
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33 # );
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34
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35 import datetime
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36 import numpy
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37 import psycopg2
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38 #import sqlite3
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39 import sys
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40 import time
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41 # Should try this code instead: https://github.com/python-ivi/python-usbtmc
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42 import usb488
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43
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44 def main():
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45 u = usb488.USB488Device()
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46 print('Found device')
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47
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48 # See "TDS2000 Programmer.pdf"
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49 res = u.ask('*IDN?')
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50 print('IDN reports ' + res)
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51
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52 hostname = 'radartest1'
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53 nchan = 2
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54 #dbh = sqlite3.connect('logpps.db')
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55 dbh = psycopg2.connect('host=vm11 user=ppslog dbname=ppslog')
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56 #dbh = None
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57 test(u, nchan, dbh, hostname)
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58
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59 def test(u, nchan, dbh = None, name = None):
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60 if dbh != None:
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61 cur = dbh.cursor()
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62
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63 u.write('ACQ:MODE SAMPLE')
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64 u.write('ACQ:STATE STOP')
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65
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66 #u.write('DATA:ENC RIB') # Big endian signed
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67 #u.write('DATA:WIDTH 2') # 2 bytes wide
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68
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69 vscales = []
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70 for i in range(nchan):
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71 tmp = float(u.ask('CH%d:SCALE?' % (i + 1)).split()[1])
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72 vscales.append(tmp)
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73 print(('Channel %d scale is %.2f volts/div' % (i + 1, tmp)))
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74
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75 hscale = float(u.ask('HOR:MAIN:SCALE?').split()[1])
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76 print(('Horizontal scale is %.5f nsec/div' % (hscale * 1e9)))
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77 # TEK2024B doesn't grok HOR:DIV? so hard code 10 (has 8 vertically)
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78 acqwindow = hscale * 10.0
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79
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80 while True:
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81 arys = acquire(u, vscales)
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82 #import matplotlib.pylab as pylab
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83 #for a in arys:
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84 # pylab.plot(a)
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85 #pylab.show()
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86 sampletime = acqwindow / len(arys[0])
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87 deltas = []
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88 for i in range(nchan - 1):
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89 delta = getpdiffedge(arys[0], arys[i + 1]) * sampletime
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90 deltas.append(delta)
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91 print('Delta 1-%d is %.1f nsec' % (i + 2, delta * 1e9))
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92
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93 if dbh != None:
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94 now = datetime.datetime.now()
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95 d12 = deltas[0]
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96 d13 = None
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97 if nchan > 2:
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98 d13 = deltas[1]
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99 cur.execute('INSERT INTO ppslog(name, time, delta12, delta13) VALUES(%s, %s, %s, %s)', (name, now, d12, d13))
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100 dbh.commit()
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101
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102 def getchannel(u, ch, vscale):
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103 u.write('DAT:SOU CH%d' % (ch)) # Set the curve source to desired channel
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104 result = u.ask('CURVE?', 1.0) # Ask for the curve data
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105 data1 = buffer(result[13:]) # Chop off the header (should verify this really..)
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106 ary = numpy.frombuffer(data1, dtype = '>h')
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107 ary = ary / 32768.0 * vscale # Scale to volts
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108 return ary
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109
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110 def acquire(u, vscales):
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111 u.write('ACQ:STATE 1') # Do a single acquisition
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112 u.write('*OPC?')
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113 u.read(2.0) # Wait for it to complete
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114
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115 arys = []
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116 for i in range(len(vscales)):
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117 arys.append(getchannel(u, i + 1, vscales[i]))
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118
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119 return arys
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120
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121 def getpdiffedge(ary1, ary2):
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122 '''Return phase difference in samples between two signals by edge detection'''
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123
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124 # Rescale to 0-1
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125 ary1 = ary1 - ary1.min()
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126 ary1 = ary1 / ary1.max()
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127 ary2 = ary2 - ary2.min()
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128 ary2 = ary2 / ary2.max()
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129
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130 # Find rising edge of each
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131 ary1pos = numpy.argmax(ary1 > 0.2)
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132 ary2pos = numpy.argmax(ary2 > 0.2)
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133
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134 return ary1pos - ary2pos
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135
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136 if __name__ == '__main__':
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137 main()