Mercurial > ~darius > hgwebdir.cgi > pyinst
annotate logpps.py @ 85:60ad91b4c67c default tip
Add 'quick' option to use a faster sweep time with no averaging.
Useful for testing the hardware is setup correctly without having to wait 3 minutes.
author | Daniel O'Connor <doconnor@gsoft.com.au> |
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date | Mon, 21 Oct 2024 14:12:50 +1030 |
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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() |