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plot_issue_stats.py
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plot_issue_stats.py
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#!/usr/bin/env python3
"""Main script for openFrameworks Github issues visualization."""
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime
import dateutil
import pickle
import github_tools
import os
import sys
from subprocess import check_output
from operator import itemgetter
# TODO:
# possibly use a database instead of pickling: https://github.com/pudo/dataset
# link plots
# Calculate average, stddev, max of time-to-fix, open time.
# other plots:
# % issues without label
# issue longest silent
# longest open issue
# most issues closed/opened per week/7day window
# % without any comment
# most bugs squashed
def naive_dt(aware_datetime):
"""
Return a naive datetime.datetime object converted from a passed aware one.
Enables comparison of aware datetimes from the local repo and the
naive ones coming from PyGithub.
"""
return aware_datetime.astimezone(dateutil.tz.tzutc()).replace(tzinfo=None)
def annot_tags_events(axis, tag_list, events, event_titles):
"""Add tag and event annotations to a given axis"""
for _t in tag_list:
axis.axvline(_t['date'], color='y', alpha=0.5)
# coordinates need to be converted to mpl internal format, see
# http://stackoverflow.com/a/11068038/599884
axis.annotate(_t['name'], xy=(mdates.date2num(_t['date']), 0.90),
xycoords=("data", "axes fraction"), ha='right', va='top')
for e in range(len(event_titles)):
axis.axvspan(events[e][0], events[e][1], color='y', alpha=0.5)
axis.annotate(event_titles[e], xy=(mdates.date2num(events[e][0]), 0.97),
xycoords=("data", "axes fraction"), ha='right', va='top')
def main():
"""Main function for plot_issue_stats"""
###########################################################################
# CONFIGURATION
target_branch = 'master'
mpl.rc('axes', grid=True, axisbelow=True)
mpl.rc('grid', linestyle='-', color='lightgray')
mpl.rc('figure', dpi=90)
# -------------------------------------------------------------------------
event_datefmt = "%Y-%m-%d"
tmp = [['2008-09-04', '2008-09-09'],
['2011-01-10', '2011-01-14'],
['2012-02-20', '2012-02-27'],
['2013-08-08', '2013-08-14']]
OFEventTitles = ['OFLab Linz', 'DevCon Pittsburgh',
'DevCon Detroit', 'DevCon Yamaguchi']
OFEvents = [[datetime.datetime.strptime(x, event_datefmt) for x in y]
for y in tmp]
pickle_dir = os.path.abspath('issue_stats_pickles')
autosave_dir = os.path.abspath('issue_stats_autosave')
###########################################################################
# Fetch needed data
print('Fetching fresh data from Github')
Repo = github_tools.get_repo()
###########################################################################
print('\nGetting issues')
print('Github shows ' + str(Repo.open_issues) + ' open issues and PRs.')
github_tools.log_traffic() # initial call to establish baseline
issues_path = os.path.join(pickle_dir, 'Issues.pickle')
if os.path.isfile(issues_path):
print('Loading issues from disk. Updating...')
with open(issues_path, 'rb') as fp:
Issues = pickle.load(fp)
last_update = max({v.updated_at for v in Issues.values()})
print('Last updated at ' + str(last_update) + ' UTC')
_issue_updates = Repo.get_issues(state='all', since=last_update)
_counter = 0
for i in _issue_updates:
_counter += 1
Issues[i.number] = i # replace updated issues in local structure
print(str(_counter) + ' issue(s) updated')
else:
print('\nFetching issues from Github')
Issues = dict() # holds the PyGithub issues, indexed by number
for i in Repo.get_issues(state='all'):
# i.update() # to fetch whole contents
# This takes one request per update(), and is very slow!
# (15+ min and 10-20kB/s)
# skipping this step takes 100 requests for 3000 issues and ca 2min
Issues[i.number] = i
print('Issues received')
print('Creating processed issue list')
issue_list = []
for i in Issues.values():
if i.closed_at:
_closed = i.closed_at
else:
_closed = None
_duration = (i.closed_at or datetime.datetime.now()) - i.created_at
issue_list.append({'number': i.number,
'state': i.state,
'created_at': i.created_at,
'closed_at': _closed,
'duration_open': _duration})
issue_list.sort(key=itemgetter('number'))
print('%s issues on record' % len(issue_list))
github_tools.log_traffic()
###########################################################################
print('\nGetting tags')
Tags = Repo.get_tags()
print('Creating tags list')
tags_list = []
for t in Tags:
tags_list.append({'date': t.commit.commit.committer.date,
'name': t.name})
github_tools.log_traffic()
###########################################################################
print('\nGetting commits')
commits_list = []
repopath = github_tools.local_repo_location()
if repopath:
print('Getting commit data from local repository...')
# check for correct branch
if check_output(['git', 'symbolic-ref', '--short', 'HEAD'],
cwd=repopath,
universal_newlines=True).rstrip() != target_branch:
print('ERROR: Please check out the branch ' +
target_branch + ' first.')
sys.exit(1)
# check if up-to-date commit is checked out
current_sha = Repo.get_branch(target_branch).commit.sha
if check_output(['git', 'rev-parse', '--verify', 'HEAD'],
cwd=repopath,
universal_newlines=True).rstrip() != current_sha:
print('ERROR: Please sync with the remote repository. ' +
'The current online commit is ' + current_sha)
sys.exit(1)
# get commit list
_out = check_output(['git', '--no-pager', 'log', target_branch,
'--pretty=format:"%h %ci %ai %p"'],
cwd=repopath,
universal_newlines=True)
_outlist = [o.strip('"') for o in _out.split(sep='\n')]
for l in _outlist:
# split into sha, committer date, author date, parents
_temp = l.split(sep=' ')
_parse = dateutil.parser.parse
# TODO: add parents to data structure
commits_list.append({'sha': _temp[0],
'committer_date': naive_dt(_parse(_temp[1])),
'author_date': naive_dt(_parse(_temp[2]))})
print('%s commits on record' % len(commits_list))
print('Done')
else:
print('No local repository specified. Getting commits from Github')
Commits = Repo.get_commits()
for c in Commits:
commits_list.append({'sha': c.sha,
'committer_date': c.commit.committer.date,
'author_date': c.commit.author.date})
print('%s commits received' % len(commits_list))
github_tools.log_traffic()
###########################################################################
print('\nProcessing objects')
# one row of dates, one row of indices, +1 for opening, -1 for closing
open_issue_count = []
for i in issue_list:
open_issue_count.append({'date': i['created_at'],
'status_change': 1})
if i['closed_at']:
open_issue_count.append({'date': i['closed_at'],
'status_change': -1})
open_issue_count.sort(key=itemgetter('date'))
_sum = 0
for i in open_issue_count:
_sum += i['status_change']
i['open_issues'] = _sum
xbegin = min([min([x['author_date'] for x in commits_list]),
min([x['date'] for x in open_issue_count])])
xend = datetime.datetime.utcnow()
print("Data range: %s days" % str((xend-xbegin).days))
bin_rrule = dateutil.rrule.rrule(dateutil.rrule.WEEKLY,
dtstart=xbegin,
byweekday=dateutil.rrule.MO)
bin_edges = mpl.dates.date2num([xbegin] +
bin_rrule.between(xbegin, xend, inc=False) +
[xend])
###########################################################################
# Pickling of data structures
with open(issues_path, 'wb') as fp:
pickle.dump(Issues, fp)
###########################################################################
print('Plotting figure')
fig = plt.figure(figsize=(380/25.4, 200/25.4))
ax = fig.add_subplot(211)
plt.title('OF issue tracker statistics - created ' + str(xend.date()))
annot_tags_events(ax, tags_list, OFEvents, OFEventTitles)
ax.plot([x['date'] for x in open_issue_count],
[x['open_issues'] for x in open_issue_count],
label='open issues', color='k', alpha=0.8)
_closed_issue_dates = [x['closed_at'] for x in issue_list
if x['state'] == 'closed']
ax.hist([mpl.dates.date2num([x['created_at'] for x in issue_list]),
mpl.dates.date2num(_closed_issue_dates)],
histtype='barstacked',
bins=bin_edges,
label=['created issues', 'closed issues'],
color=['red', 'green'],
alpha=0.8)
ax.legend(loc='center left')
locator = mpl.dates.AutoDateLocator(maxticks=15)
ax.xaxis.set_major_locator(locator)
ax.xaxis.set_major_formatter(mpl.dates.AutoDateFormatter(locator))
ax.xaxis.grid(False)
ax.set_xlim(left=xbegin)
ax.tick_params(axis='x', direction='out')
# -------------------------------------------------------------------------
ax2 = fig.add_subplot(212, sharex=ax)
plt.title('OF commit statistics')
annot_tags_events(ax2, tags_list, OFEvents, OFEventTitles)
ax2.hist(mpl.dates.date2num([x['author_date'] for x in commits_list]),
bins=bin_edges,
label=(target_branch + ' commits authored'),
color='blue',
alpha=0.5)
ax2.legend(loc='center left')
ax2.xaxis.set_major_locator(locator)
ax2.xaxis.set_major_formatter(mpl.dates.AutoDateFormatter(locator))
ax2.xaxis.grid(False)
ax2.set_xlim(left=xbegin)
ax2.tick_params(axis='x', direction='out')
fig.autofmt_xdate()
plt.tight_layout()
plt.show()
fig.savefig(os.path.join(autosave_dir, 'OF_repo_viz_' + str(xend.date()) +
'.png'))
print('\nFinished!')
###########################################################################
if __name__ == '__main__':
main()