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<title>[13765] CalendarServer/trunk/contrib/tools/statsanalysis.py</title>
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<dt>Revision</dt> <dd><a href="http://trac.calendarserver.org//changeset/13765">13765</a></dd>
<dt>Author</dt> <dd>cdaboo@apple.com</dd>
<dt>Date</dt> <dd>2014-07-16 13:30:19 -0700 (Wed, 16 Jul 2014)</dd>
</dl>
<h3>Log Message</h3>
<pre>Interactive readStats analyzer.</pre>
<h3>Added Paths</h3>
<ul>
<li><a href="#CalendarServertrunkcontribtoolsstatsanalysispy">CalendarServer/trunk/contrib/tools/statsanalysis.py</a></li>
</ul>
</div>
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<h3>Diff</h3>
<a id="CalendarServertrunkcontribtoolsstatsanalysispy"></a>
<div class="addfile"><h4>Added: CalendarServer/trunk/contrib/tools/statsanalysis.py (0 => 13765)</h4>
<pre class="diff"><span>
<span class="info">--- CalendarServer/trunk/contrib/tools/statsanalysis.py (rev 0)
+++ CalendarServer/trunk/contrib/tools/statsanalysis.py 2014-07-16 20:30:19 UTC (rev 13765)
</span><span class="lines">@@ -0,0 +1,217 @@
</span><ins>+#!/usr/bin/env python
+##
+# Copyright (c) 2010-2014 Apple Inc. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+##
+from __future__ import print_function
+
+import getopt
+import matplotlib.pyplot as plt
+import os
+import sys
+
+dataset = {}
+
+def analyze(fpath, title):
+
+ print("Analyzing data for %s" % (fpath,))
+ dataset[title] = {}
+ with open(fpath) as f:
+ for line in f:
+ if line.startswith("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -"):
+ analyzeRecord(f, title)
+
+ print("Stored %d data points" % (len(dataset[title]),))
+
+
+def analyzeRecord(liter, title):
+
+ dt = liter.next()
+ time = dt[11:]
+ seconds = 60 * (60 * int(time[0:2]) + int(time[3:5])) + int(time[6:8])
+ for line in liter:
+ if line.startswith("| Overall:"):
+ overall = parseOverall(line)
+ dataset[title][seconds] = overall
+ elif line.startswith("| Method"):
+ methods = parseMethods(liter)
+ dataset[title][seconds].update(methods)
+ break
+
+def parseOverall(line):
+
+ splits = line.split("|")
+ overall = {}
+ keys = (
+ ("Requests", lambda x: int(x)),
+ ("Av. Requests per second", lambda x: float(x)),
+ ("Av. Response", lambda x: float(x)),
+ ("Av. Response no write", lambda x: float(x)),
+ ("Max. Response", lambda x: float(x)),
+ ("Slot Average", lambda x: float(x)),
+ ("CPU Average", lambda x: float(x[:-1])),
+ ("CPU Current", lambda x: float(x[:-1])),
+ ("Memory Current", lambda x: float(x[:-1])),
+ ("500's", lambda x: int(x)),
+ )
+ for ctr, item in enumerate(keys):
+ key, conv = item
+ overall["Overall:{}".format(key)] = conv(splits[2 + ctr].strip())
+
+ return overall
+
+
+def parseMethods(liter):
+
+ while liter.next()[1] != "-":
+ pass
+
+ methods = {}
+ for line in liter:
+ if line[0] == "+":
+ break
+ splits = line.split("|")
+ keys = (
+ ("Count", lambda x: int(x)),
+ ("Count %", lambda x: float(x[:-1])),
+ ("Av. Response", lambda x: float(x)),
+ ("Av. Response %", lambda x: float(x[:-1])),
+ ("Total Resp. %", lambda x: float(x[:-1])),
+ )
+ for ctr, item in enumerate(keys):
+ key, conv = item
+ methods["Method:{}:{}".format(splits[1].strip(), key)] = conv(splits[2 + ctr].strip())
+
+ return methods
+
+
+def plotSeries(key, ymin=None, ymax=None):
+
+
+ color = iter(("b+", "r+", "g+",))
+ for _ignore_title, data in sorted(dataset.items(), key=lambda x: x[0]):
+ x1, y1 = zip(*[(k / 3600.0, v[key]) for k, v in sorted(data.items(), key=lambda x: x[0]) if key in v])
+
+ # print("".join(["{}\t{}\n".format(x, y) for x, y in zip(x1, y1)]))
+
+ plt.plot(x1, y1, color.next())
+
+ #plt.legend((key,), 'upper left', shadow=True, fancybox=True)
+ plt.xlabel("Hours")
+ plt.ylabel(key)
+ plt.xlim(0, 24)
+ if ymin is not None:
+ plt.ylim(ymin=ymin)
+ if ymax is not None:
+ plt.ylim(ymax=ymax)
+ plt.xticks(
+ (1, 4, 7, 10, 13, 16, 19, 22,),
+ (18, 21, 0, 3, 6, 9, 12, 15,),
+ )
+ plt.show()
+
+
+def usage(error_msg=None):
+ if error_msg:
+ print(error_msg)
+
+ print("""Usage: statsanalysis [options]
+Options:
+ -h Print this help and exit
+ -s Directory to scan for data [~/stats]
+
+Arguments:
+
+Description:
+This utility will analyze the output of the readStats tool and
+generate some pretty plots of data.
+""")
+
+ if error_msg:
+ raise ValueError(error_msg)
+ else:
+ sys.exit(0)
+
+if __name__ == "__main__":
+
+ scanDir = os.path.expanduser("~/stats")
+ options, args = getopt.getopt(sys.argv[1:], "hs:", [])
+
+ for option, value in options:
+ if option == "-h":
+ usage()
+ elif option == "-s":
+ scanDir = os.path.expanduser(value)
+ else:
+ usage("Unrecognized option: %s" % (option,))
+
+ if scanDir and len(args) != 0:
+ usage("No arguments allowed when scanning a directory")
+
+ pwd = os.getcwd()
+
+ fnames = os.listdir(scanDir)
+ count = 1
+ for name in fnames:
+ if name.startswith("stats_all.log"):
+ print("Found file: %s" % (os.path.join(scanDir, name),))
+ trailer = name[len("stats_all.log"):]
+ if trailer.startswith("-"):
+ trailer = trailer[1:]
+ initialDate = None
+ analyze(os.path.join(scanDir, name), trailer)
+ count += 1
+
+ keys = set()
+ for data in dataset.values():
+ for items in data.values():
+ keys.update([":".join(k.split(":")[:2]) for k in items.keys()])
+ keys = sorted(list(keys))
+ while True:
+ print("Select a key:")
+ print("\n".join(["{:2d}. {}".format(ctr + 1, key) for ctr, key in enumerate(keys)]))
+ print(" Q. Quit\n")
+ cmd = raw_input("Key: ")
+ if cmd.lower() == 'q':
+ print("\nQuitting")
+ break
+ try:
+ position = int(cmd) - 1
+ except ValueError:
+ print("Invalid key. Try again.\n")
+ continue
+
+ if keys[position].startswith("Method:"):
+ key = keys[position]
+ methodkeys = ("Count", "Count %", "Av. Response", "Av. Response %", "Total Resp. %")
+ while True:
+ print("Select a sub-key:")
+ print("\n".join(["{:2d}. {}".format(ctr + 1, subkey) for ctr, subkey in enumerate(methodkeys)]))
+ print(" B. Back\n")
+ cmd = raw_input("SubKey: ")
+ if cmd.lower() == 'b':
+ key = None
+ break
+ try:
+ position = int(cmd) - 1
+ except ValueError:
+ print("Invalid subkey. Try again.\n")
+ continue
+ break
+ key = "{}:{}".format(key, methodkeys[position]) if key is not None else None
+ else:
+ key = keys[position]
+
+ if key:
+ plotSeries(key, ymin=0, ymax=None)
</ins><span class="cx">Property changes on: CalendarServer/trunk/contrib/tools/statsanalysis.py
</span><span class="cx">___________________________________________________________________
</span></span></pre></div>
<a id="svnexecutable"></a>
<div class="addfile"><h4>Added: svn:executable</h4></div>
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