Mercurial > ~darius > hgwebdir.cgi > pyinst
view logpps.py @ 69:7386f2888508
Make function more configurable
author | Daniel O'Connor <doconnor@gsoft.com.au> |
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date | Wed, 04 Aug 2021 16:07:44 +0930 |
parents | ffc9292eb00b |
children | 6ffa6fcf278e |
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#!/usr/bin/env python # Copyright (c) 2021 # Daniel O'Connor <darius@dons.net.au>. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY AUTHOR AND CONTRIBUTORS ``AS IS'' AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL AUTHOR OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF # SUCH DAMAGE. # # Expected DB schema # CREATE TABLE ppslog ( # name TEXT, # time TIMESTAMP WITH TIME ZONE, # delta12 NUMERIC(15, 12), # delta13 NUMERIC(15, 12) # ); import datetime import matplotlib.pylab as pylab import numpy import psycopg2 #import sqlite3 import sys import time # Should try this code instead: https://github.com/python-ivi/python-usbtmc import usb488 def main(): u = usb488.USB488Device() print('Found device') # See "TDS2000 Programmer.pdf" res = u.ask('*IDN?') print('IDN reports ' + res) hostname = 'radartest1' nchan = 2 #dbh = sqlite3.connect('logpps.db') dbh = psycopg2.connect('host=vm11 user=ppslog dbname=ppslog') #dbh = None test(u, nchan, dbh, hostname) def test(u, nchan, dbh = None, name = None): if dbh != None: cur = dbh.cursor() u.write('ACQ:MODE SAMPLE') u.write('ACQ:STATE STOP') #u.write('DATA:ENC RIB') # Big endian signed #u.write('DATA:WIDTH 2') # 2 bytes wide vscales = [] for i in range(nchan): tmp = float(u.ask('CH%d:SCALE?' % (i + 1)).split()[1]) vscales.append(tmp) print(('Channel %d scale is %.2f volts/div' % (i + 1, tmp))) hscale = float(u.ask('HOR:MAIN:SCALE?').split()[1]) print(('Horizontal scale is %.5f nsec/div' % (hscale * 1e9))) # TEK2024B doesn't grok HOR:DIV? so hard code 10 (has 8 vertically) acqwindow = hscale * 10.0 while True: arys = acquire(u, vscales) #for a in arys: # pylab.plot(a) #pylab.show() sampletime = acqwindow / len(arys[0]) deltas = [] for i in range(nchan - 1): delta = getpdiffedge(arys[0], arys[i + 1]) * sampletime deltas.append(delta) print('Delta 1-%d is %.1f nsec' % (i + 2, delta * 1e9)) if dbh != None: now = datetime.datetime.now() d12 = deltas[0] d13 = None if nchan > 2: d13 = deltas[1] cur.execute('INSERT INTO ppslog(name, time, delta12, delta13) VALUES(%s, %s, %s, %s)', (name, now, d12, d13)) dbh.commit() def getchannel(u, ch, vscale): u.write('DAT:SOU CH%d' % (ch)) # Set the curve source to desired channel result = u.ask('CURVE?', 1.0) # Ask for the curve data data1 = buffer(result[13:]) # Chop off the header (should verify this really..) ary = numpy.frombuffer(data1, dtype = '>h') ary = ary / 32768.0 * vscale # Scale to volts return ary def acquire(u, vscales): u.write('ACQ:STATE 1') # Do a single acquisition u.write('*OPC?') u.read(2.0) # Wait for it to complete arys = [] for i in range(len(vscales)): arys.append(getchannel(u, i + 1, vscales[i])) return arys def getpdiffedge(ary1, ary2): '''Return phase difference in samples between two signals by edge detection''' # Rescale to 0-1 ary1 = ary1 - ary1.min() ary1 = ary1 / ary1.max() ary2 = ary2 - ary2.min() ary2 = ary2 / ary2.max() # Find rising edge of each ary1pos = numpy.argmax(ary1 > 0.2) ary2pos = numpy.argmax(ary2 > 0.2) return ary1pos - ary2pos if __name__ == '__main__': main()