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annotate find.py @ 84:4b4ae555067b

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Use RMS detector and fix the sweep time for more accuracy. Add links to app notes discussing theory. Run forever without pause and print a summary on ctrl-c
author Daniel O'Connor <doconnor@gsoft.com.au>
date Thu, 03 Oct 2024 08:57:10 +0930
parents 91b476ebc0f2
children
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7d76b1d70096 Add file to generate stats on data files.
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1 #!/usr/bin/env python
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2
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3 import datafile
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4 import getopt
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5 import numpy
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6 import sys
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7 from functools import reduce
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8
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9 if __name__ == "__main__":
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10 opts, args = getopt.getopt(sys.argv[1:], "e:hm:s")
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11
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12 minlev = None
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13 exptag = None
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14 dostats = False
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15 for o, a in opts:
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16 if o == "-h":
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17 print("""Find data files with certain characteristics
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18
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19 %s [-h] [-e exp] [-m min] [-s] file [file ..]
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20 exp Limit to experiment tag exp
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21 min Find files with power greater than min
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22 -s Print stats about files
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23 """)
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24 elif o == "-e":
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25 exptag = a
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26 elif o == "-m":
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27 minlev = float(a)
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28 elif o == "-s":
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29 dostats = True
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30 else:
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31 print("Unknown option " + o)
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32 sys.exit(1)
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33
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34 if len(args) == 0:
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35 print("Need at least one file to analyse")
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36 sys.exit(1)
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37
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38 minfiles = []
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39 if dostats:
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40 print("%-50s %7s %7s %7s (dBm)" % ("Name", "Min", "Mean", "Max"))
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41 for fn in args:
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42 dfile = datafile.DataFile(fn)
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43
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44 if exptag != None and dfile['TAG'] != exptag:
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45 continue
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46
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47 if minlev != None:
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48 if reduce(lambda x, y: x or y, dfile.powers > minlev):
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49 minfiles.append(fn)
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51 if dostats:
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52 print("%-50s %7.2f %7.2f %7.2f" % (fn, dfile.powers.min(), dfile.powers.mean(), dfile.powers.max()))
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54 if minlev != None:
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55 if dostats:
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56 print("")
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57 print("Files with any sample exceeding %.2f dBm:" % (minlev))
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58 for fn in minfiles:
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59 print(fn)
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