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authorBrad Payne (Vir Linden) <vir@lindenlab.com>2021-03-26 14:42:40 +0100
committerBrad Payne (Vir Linden) <vir@lindenlab.com>2021-03-26 14:42:40 +0100
commit61ab98212073f0093f044bc78a6ccefac0f63761 (patch)
tree52037b40bf9ef47319eac3c36673e4ce19c8da8f /scripts
parent026f4c6024ced642e7fff1949a38657b40a92c45 (diff)
SL-15031 - ViewerStats analysis script
Diffstat (limited to 'scripts')
-rw-r--r--scripts/metrics/viewerstats.py92
1 files changed, 92 insertions, 0 deletions
diff --git a/scripts/metrics/viewerstats.py b/scripts/metrics/viewerstats.py
new file mode 100644
index 0000000000..1e54d2cfd0
--- /dev/null
+++ b/scripts/metrics/viewerstats.py
@@ -0,0 +1,92 @@
+#!runpy.sh
+
+"""\
+
+This module contains code for analyzing ViewerStats data as uploaded by the viewer.
+
+$LicenseInfo:firstyear=2021&license=viewerlgpl$
+Second Life Viewer Source Code
+Copyright (C) 2021, Linden Research, Inc.
+
+This library is free software; you can redistribute it and/or
+modify it under the terms of the GNU Lesser General Public
+License as published by the Free Software Foundation;
+version 2.1 of the License only.
+
+This library is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+Lesser General Public License for more details.
+
+You should have received a copy of the GNU Lesser General Public
+License along with this library; if not, write to the Free Software
+Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+
+Linden Research, Inc., 945 Battery Street, San Francisco, CA 94111 USA
+$/LicenseInfo$
+"""
+
+import argparse
+import numpy as np
+import pandas as pd
+import json
+from collections import Counter, defaultdict
+
+def show_stats_by_key(recs,indices):
+ cnt = Counter()
+ per_key_cnt = defaultdict(Counter)
+ for r in recs:
+ try:
+ d = r
+ for idx in indices:
+ d = d[idx]
+ for k,v in d.items():
+ if isinstance(v,dict):
+ continue
+ cnt[k] += 1
+ if isinstance(v,list):
+ v = tuple(v)
+ per_key_cnt[k][v] += 1
+ except Exception as e:
+ print "err", e
+ print "d", d, "k", k, "v", v
+ raise
+ mc = cnt.most_common(100)
+ print "========================="
+ keyprefix = ""
+ if len(indices)>0:
+ keyprefix = ".".join(indices) + "."
+ for i,m in enumerate(mc):
+ k = m[0]
+ bigc = m[1]
+ kmc = per_key_cnt[k].most_common(5)
+ print i, keyprefix+str(k), bigc
+ for v in kmc:
+ print " ", "value",v[0],"count",v[1]
+
+if __name__ == "__main__":
+
+ parser = argparse.ArgumentParser(description="process tab-separated table containing viewerstats logs")
+ parser.add_argument("--verbose", action="store_true",help="verbose flag")
+ parser.add_argument("--preferences", action="store_true", help="analyze preference info")
+ parser.add_argument("--column", help="name of column containing viewerstats info")
+ parser.add_argument("infiles", nargs="+", help="name of .tsv files to process")
+ args = parser.parse_args()
+
+ for fname in args.infiles:
+ print "process", fname
+ df = pd.read_csv(fname,sep='\t')
+ #print "DF", df.describe()
+ jstrs = df['RAW_LOG:BODY']
+ #print "JSTRS", jstrs.describe()
+ recs = []
+ for i,jstr in enumerate(jstrs):
+ recs.append(json.loads(jstr))
+ show_stats_by_key(recs,[])
+ show_stats_by_key(recs,["agent"])
+ if args.preferences:
+ show_stats_by_key(recs,["preferences","settings"])
+
+
+
+