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<title>[13769] CalendarServer/trunk/contrib/tools</title>
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<dt>Revision</dt> <dd><a href="http://trac.calendarserver.org//changeset/13769">13769</a></dd>
<dt>Author</dt> <dd>cdaboo@apple.com</dd>
<dt>Date</dt> <dd>2014-07-16 19:05:24 -0700 (Wed, 16 Jul 2014)</dd>
</dl>
<h3>Log Message</h3>
<pre>Tweak plotting of readStats.</pre>
<h3>Modified Paths</h3>
<ul>
<li><a href="#CalendarServertrunkcontribtoolsstatsanalysispy">CalendarServer/trunk/contrib/tools/statsanalysis.py</a></li>
</ul>
<h3>Added Paths</h3>
<ul>
<li><a href="#CalendarServertrunkcontribtools__init__py">CalendarServer/trunk/contrib/tools/__init__.py</a></li>
</ul>
</div>
<div id="patch">
<h3>Diff</h3>
<a id="CalendarServertrunkcontribtools__init__py"></a>
<div class="addfile"><h4>Added: CalendarServer/trunk/contrib/tools/__init__.py (0 => 13769)</h4>
<pre class="diff"><span>
<span class="info">--- CalendarServer/trunk/contrib/tools/__init__.py         (rev 0)
+++ CalendarServer/trunk/contrib/tools/__init__.py        2014-07-17 02:05:24 UTC (rev 13769)
</span><span class="lines">@@ -0,0 +1,15 @@
</span><ins>+##
+# Copyright (c) 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.
+##
</ins></span></pre></div>
<a id="CalendarServertrunkcontribtoolsstatsanalysispy"></a>
<div class="modfile"><h4>Modified: CalendarServer/trunk/contrib/tools/statsanalysis.py (13768 => 13769)</h4>
<pre class="diff"><span>
<span class="info">--- CalendarServer/trunk/contrib/tools/statsanalysis.py        2014-07-17 00:51:13 UTC (rev 13768)
+++ CalendarServer/trunk/contrib/tools/statsanalysis.py        2014-07-17 02:05:24 UTC (rev 13769)
</span><span class="lines">@@ -1,6 +1,6 @@
</span><span class="cx"> #!/usr/bin/env python
</span><span class="cx"> ##
</span><del>-# Copyright (c) 2010-2014 Apple Inc. All rights reserved.
</del><ins>+# Copyright (c) 2014 Apple Inc. All rights reserved.
</ins><span class="cx"> #
</span><span class="cx"> # Licensed under the Apache License, Version 2.0 (the "License");
</span><span class="cx"> # you may not use this file except in compliance with the License.
</span><span class="lines">@@ -24,19 +24,35 @@
</span><span class="cx"> dataset = {}
</span><span class="cx">
</span><span class="cx"> def analyze(fpath, title):
</span><ins>+ """
+ Analyze a readStats data file.
</ins><span class="cx">
</span><del>- print("Analyzing data for %s" % (fpath,))
</del><ins>+ @param fpath: path of file to analyze
+ @type fpath: L{str}
+ @param title: title to use for data set
+ @type title: L{str}
+ """
+
+ print("Analyzing data for %s" % (title,))
</ins><span class="cx"> dataset[title] = {}
</span><span class="cx"> with open(fpath) as f:
</span><span class="cx"> for line in f:
</span><span class="cx"> if line.startswith("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -"):
</span><span class="cx"> analyzeRecord(f, title)
</span><span class="cx">
</span><del>- print("Stored %d data points" % (len(dataset[title]),))
</del><ins>+ print("Read %d data points\n" % (len(dataset[title]),))
</ins><span class="cx">
</span><span class="cx">
</span><span class="cx"> def analyzeRecord(liter, title):
</span><ins>+ """
+ Analyze one entry from the readStats data file.
</ins><span class="cx">
</span><ins>+ @param liter: iterator over lines in the file
+ @type liter: L{iter}
+ @param title: title to use for data set
+ @type title: L{str}
+ """
+
</ins><span class="cx"> dt = liter.next()
</span><span class="cx"> time = dt[11:]
</span><span class="cx"> seconds = 60 * (60 * int(time[0:2]) + int(time[3:5])) + int(time[6:8])
</span><span class="lines">@@ -49,8 +65,15 @@
</span><span class="cx"> dataset[title][seconds].update(methods)
</span><span class="cx"> break
</span><span class="cx">
</span><ins>+
</ins><span class="cx"> def parseOverall(line):
</span><ins>+ """
+ Parse the "Overall:" stats summary line.
</ins><span class="cx">
</span><ins>+ @param line: the line to parse
+ @type line: L{str}
+ """
+
</ins><span class="cx"> splits = line.split("|")
</span><span class="cx"> overall = {}
</span><span class="cx"> keys = (
</span><span class="lines">@@ -73,7 +96,13 @@
</span><span class="cx">
</span><span class="cx">
</span><span class="cx"> def parseMethods(liter):
</span><ins>+ """
+ Parse the "Method Count" table from a data file entry.
</ins><span class="cx">
</span><ins>+ @param liter: iterator over lines in the file
+ @type liter: L{iter}
+ """
+
</ins><span class="cx"> while liter.next()[1] != "-":
</span><span class="cx"> pass
</span><span class="cx">
</span><span class="lines">@@ -97,17 +126,24 @@
</span><span class="cx">
</span><span class="cx">
</span><span class="cx"> def plotSeries(key, ymin=None, ymax=None):
</span><ins>+ """
+ Plot the chosen dataset key for each scanned data file.
</ins><span class="cx">
</span><ins>+ @param key: data set key to use
+ @type key: L{str}
+ @param ymin: minimum value for y-axis or L{None} for default
+ @type ymin: L{int} or L{float}
+ @param ymax: maximum value for y-axis or L{None} for default
+ @type ymax: L{int} or L{float}
+ """
</ins><span class="cx">
</span><del>- 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])
</del><ins>+ titles = []
+ for title, data in sorted(dataset.items(), key=lambda x: x[0]):
+ titles.append(title)
+ x, y = zip(*[(k / 3600.0, v[key]) for k, v in sorted(data.items(), key=lambda x: x[0]) if key in v])
</ins><span class="cx">
</span><del>- # print("".join(["{}\t{}\n".format(x, y) for x, y in zip(x1, y1)]))
-
- plt.plot(x1, y1, color.next())
</del><ins>+ plt.plot(x, y)
</ins><span class="cx">
</span><del>- #plt.legend((key,), 'upper left', shadow=True, fancybox=True)
</del><span class="cx"> plt.xlabel("Hours")
</span><span class="cx"> plt.ylabel(key)
</span><span class="cx"> plt.xlim(0, 24)
</span><span class="lines">@@ -119,6 +155,7 @@
</span><span class="cx"> (1, 4, 7, 10, 13, 16, 19, 22,),
</span><span class="cx"> (18, 21, 0, 3, 6, 9, 12, 15,),
</span><span class="cx"> )
</span><ins>+ plt.legend(titles, 'upper left', shadow=True, fancybox=True)
</ins><span class="cx"> plt.show()
</span><span class="cx">
</span><span class="cx">
</span><span class="lines">@@ -161,6 +198,7 @@
</span><span class="cx">
</span><span class="cx"> pwd = os.getcwd()
</span><span class="cx">
</span><ins>+ # Scan data directory and read in data from each file found
</ins><span class="cx"> fnames = os.listdir(scanDir)
</span><span class="cx"> count = 1
</span><span class="cx"> for name in fnames:
</span><span class="lines">@@ -173,6 +211,8 @@
</span><span class="cx"> analyze(os.path.join(scanDir, name), trailer)
</span><span class="cx"> count += 1
</span><span class="cx">
</span><ins>+ # Build the set of data set keys that can be plotted and let the user
+ # choose which one
</ins><span class="cx"> keys = set()
</span><span class="cx"> for data in dataset.values():
</span><span class="cx"> for items in data.values():
</span></span></pre>
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