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#!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"])
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