#!/usr/bin/env python
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# Copyright 2015 The Chromium Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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"""Print statistics about the rate of commits to a repository."""
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import datetime
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import itertools
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import json
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import math
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import urllib
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import urllib2
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_BASE_URL = 'https://chromium.googlesource.com'
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# Can be up to 10,000.
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_REVISION_COUNT = 10000
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_REPOSITORIES = [
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'chromium/src',
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'angle/angle',
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'skia',
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'v8/v8',
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]
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def Pairwise(iterable):
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"""s -> (s0,s1), (s1,s2), (s2, s3), ..."""
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a, b = itertools.tee(iterable)
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next(b, None)
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return itertools.izip(a, b)
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def Percentile(data, percentile):
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"""Find a percentile of a list of values.
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Parameters:
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data: A sorted list of values.
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percentile: The percentile to look up, from 0.0 to 1.0.
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Returns:
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The percentile.
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Raises:
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ValueError: If data is empty.
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"""
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if not data:
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raise ValueError()
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k = (len(data) - 1) * percentile
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f = math.floor(k)
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c = math.ceil(k)
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if f == c:
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return data[int(k)]
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return data[int(f)] * (c - k) + data[int(c)] * (k - f)
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def CommitTimes(repository, revision_count):
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parameters = urllib.urlencode((('n', revision_count), ('format', 'JSON')))
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url = '%s/%s/+log?%s' % (_BASE_URL, urllib.quote(repository), parameters)
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data = json.loads(''.join(urllib2.urlopen(url).read().splitlines()[1:]))
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commit_times = []
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for revision in data['log']:
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commit_time_string = revision['committer']['time']
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commit_time = datetime.datetime.strptime(
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commit_time_string, '%a %b %d %H:%M:%S %Y')
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commit_times.append(commit_time - datetime.timedelta(hours=7))
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return commit_times
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def IsWeekday(time):
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return time.weekday() >= 0 and time.weekday() < 5
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def main():
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for repository in _REPOSITORIES:
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commit_times = CommitTimes(repository, _REVISION_COUNT)
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commit_durations = []
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for time1, time2 in Pairwise(commit_times):
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#if not (IsWeekday(time1) and IsWeekday(time2)):
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# continue
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commit_durations.append((time1 - time2).total_seconds() / 60.)
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commit_durations.sort()
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print 'REPOSITORY:', repository
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print 'Start Date:', min(commit_times), 'PDT'
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print ' End Date:', max(commit_times), 'PDT'
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print ' Duration:', max(commit_times) - min(commit_times)
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print ' n:', len(commit_times)
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for p in (0.25, 0.50, 0.90):
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percentile = Percentile(commit_durations, p)
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print '%3d%% commit duration:' % (p * 100), '%6.1fm' % percentile
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mean = math.fsum(commit_durations) / len(commit_durations)
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print 'Mean commit duration:', '%6.1fm' % mean
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print
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if __name__ == '__main__':
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main()
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