From fdfa832f4d4a93629d1ccda11357901e42d7b428 Mon Sep 17 00:00:00 2001
From: "Brad Payne (Vir Linden)" <vir@lindenlab.com>
Date: Wed, 1 Mar 2017 18:10:24 -0500
Subject: SL-409 - simple script to summarize viewer metrics logs of asset
 fetches

---
 scripts/metrics/viewer_asset_logs.py | 98 ++++++++++++++++++++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 scripts/metrics/viewer_asset_logs.py

(limited to 'scripts')

diff --git a/scripts/metrics/viewer_asset_logs.py b/scripts/metrics/viewer_asset_logs.py
new file mode 100644
index 0000000000..47f0658138
--- /dev/null
+++ b/scripts/metrics/viewer_asset_logs.py
@@ -0,0 +1,98 @@
+#!runpy.sh
+
+"""\
+
+This module contains tools for analyzing viewer asset metrics logs produced by the viewer.
+
+$LicenseInfo:firstyear=2016&license=viewerlgpl$
+Second Life Viewer Source Code
+Copyright (C) 2016, 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
+from lxml import etree
+from llbase import llsd
+
+def get_metrics_record(infiles):
+    for filename in args.infiles:
+        f = open(filename)
+        # get an iterable
+        context = etree.iterparse(f, events=("start", "end"))
+
+        # turn it into an iterator
+        context = iter(context)
+
+        # get the root element
+        event, root = context.next()
+        try:
+            for event, elem in context:
+                if event == "end" and elem.tag == "llsd":
+                    xmlstr = etree.tostring(elem, encoding="utf8", method="xml")
+                    sd = llsd.parse_xml(xmlstr)
+                    yield sd
+        except etree.XMLSyntaxError:
+            print "Fell off end of document"
+
+        f.close()
+
+def update_stats(stats,rec):
+    for region in rec["regions"]:
+        region_key = (region["grid_x"],region["grid_y"])
+        #print "region",region_key
+        for field, val in region.iteritems():
+            if field in ["duration","grid_x","grid_y"]:
+                continue
+            if field == "fps":
+                # handle fps record as special case
+                pass
+            else:
+                #print "field",field 
+                stats.setdefault(field,{})
+                type_stats = stats.get(field)
+                newcount = val["resp_count"]
+                #print "field",field,"add count",newcount
+                type_stats["count"] = type_stats.get("count",0) + val["resp_count"]
+                #print "field",field,"count",type_stats["count"]
+                if (newcount>0):
+                    type_stats["sum"] = type_stats.get("sum",0) + val["resp_count"] * val["resp_mean"]
+                type_stats["enqueued"] = type_stats.get("enqueued",0) + val["enqueued"]
+                type_stats["dequeued"] = type_stats.get("dequeued",0) + val["dequeued"]
+                
+            
+    
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser(description="process metric xml files for viewer asset fetching")
+    parser.add_argument("--verbose", action="store_true",help="verbose flag")
+    parser.add_argument("infiles", nargs="+", help="name of .xml files to process")
+    args = parser.parse_args()
+
+    #print "process files:",args.infiles
+
+    stats = {}
+    for rec in get_metrics_record(args.infiles):
+        #print "record",rec
+
+        update_stats(stats,rec)
+
+    for key, val in stats.iteritems():
+        if val["count"] > 0:
+            print "key",key,"count",val["count"],"mean",val["sum"]/val["count"],"enqueued",val["enqueued"],"dequeued",val["dequeued"]
+
-- 
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