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author | Mnikolenko Productengine <mnikolenko@productengine.com> | 2021-05-12 15:07:17 +0300 |
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committer | Mnikolenko Productengine <mnikolenko@productengine.com> | 2021-05-12 15:07:17 +0300 |
commit | fde4bd2cbc62fef1d3290aa86cbef615ad097bf6 (patch) | |
tree | c0cc75305a1d99f93ad9404e63592794f8f1faa5 | |
parent | 3392d5805e00cdbce1d269ee2da4f0c14b9a03c9 (diff) |
SL-15177 Add slp-csv converting script
-rw-r--r-- | scripts/metrics/slp_conv.py | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/scripts/metrics/slp_conv.py b/scripts/metrics/slp_conv.py new file mode 100644 index 0000000000..46be2003d7 --- /dev/null +++ b/scripts/metrics/slp_conv.py @@ -0,0 +1,55 @@ +#!/usr/bin/python +"""\ +@file slp_conv.py +@author Callum Prentice +@date 2021-01-26 +@brief Convert a Second Life Performance (SLP) file generated + by the Viewer into an comma separated value (CSV) file + for import into spreadsheets and other data analytics tools. + +$LicenseInfo:firstyear=2018&license=internal$ +Copyright (c) 2018, Linden Research, Inc. +$/LicenseInfo$ +""" +from llbase import llsd +import argparse + +parser = argparse.ArgumentParser( + description="Converts Viewer SLP files into CSV for import into spreadsheets etc." +) +parser.add_argument( + "infilename", + help="Name of SLP file to read", +) +parser.add_argument( + "outfilename", + help="Name of CSV file to create", +) +args = parser.parse_args() + +with open(args.infilename, "r") as slp_file: + slps = slp_file.readlines() + print "Reading from %s - %d items" % (args.infilename, len(slps)) + + with open(args.outfilename, "w") as csv_file: + + print "Writing to %s" % args.outfilename + + for index, each_slp in enumerate(slps): + slp_entry = llsd.parse(each_slp) + + first_key = slp_entry.keys()[0] + + # first entry so write column headers + if index == 0: + line = "" + for key, value in slp_entry[first_key].iteritems(): + line += key + line += ", " + csv_file.write("entry, %s, \n" % line) + # write line of data + line = "" + for key, value in slp_entry[first_key].iteritems(): + line += str(value) + line += ", " + csv_file.write("%s, %s, \n" % (first_key, str(line))) |