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@remram44
Last active January 26, 2018 16:15
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import bisect\n",
"import datetime\n",
"import dateutil.parser\n",
"import matplotlib.dates as mdates\n",
"from matplotlib import pyplot\n",
"import os\n",
"import pickle\n",
"import re\n",
"import requests\n",
"import time"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"_re_num_pages = re.compile(r'page=([0-9]+)')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"headers = {\n",
" 'Accept': 'application/vnd.github.v3+json',\n",
" #'Authentication': 'token ***',\n",
"}\n",
"r = None\n",
"date_ranges = [\n",
" '2012-01-01..2012-12-31',\n",
" '2013-01-01..2013-12-31',\n",
" '2014-01-01..2014-07-01', '2014-07-02..2014-12-31',\n",
" '2015-01-01..2015-03-01', '2015-03-02..2015-05-01', '2015-05-02..2015-07-01',\n",
" '2015-07-02..2015-09-01', '2015-09-02..2015-11-01', '2015-11-02..2015-12-31',\n",
" '2016-01-01..2016-03-01', '2016-03-02..2016-05-01', '2016-05-02..2016-07-01',\n",
" '2016-07-02..2016-09-01', '2016-09-02..2016-11-01', '2016-11-02..2016-12-31',\n",
" '2017-01-01..2017-03-01', '2017-03-02..2017-05-01', '2017-05-02..2017-07-01',\n",
" '2017-07-02..2017-09-01', '2017-09-02..*',\n",
"]\n",
"for date_range in date_ranges:\n",
" if r is not None and r.headers.get('X-RateLimit-Remaining') in ('0', '1'):\n",
" time.sleep(60)\n",
" r = requests.get('https://api.github.com/search/issues?',\n",
" params={'q': 'is:pr org:carpentries org:datacarpentry org:swcarpentry created:{0}'.format(date_range),\n",
" 'sort': 'created',\n",
" 'order': 'asc'},\n",
" headers=headers)\n",
" r.raise_for_status()\n",
" pages = 1\n",
" if 'last' in r.links:\n",
" m = _re_num_pages.search(r.links['last']['url'])\n",
" if m is not None:\n",
" pages = int(m.group(1))\n",
" print \"range={0}, pages={1}\".format(date_range, pages)\n",
" if pages >= 33:\n",
" raise ValueError(\"Error: we're hitting GitHub's results limit, adjust date_ranges\")\n",
" items = r.json()['items']\n",
"\n",
" while 'next' in r.links:\n",
" if r.headers.get('X-RateLimit-Remaining') in ('0', '1'):\n",
" time.sleep(60)\n",
" r = requests.get(r.links['next']['url'],\n",
" headers=headers)\n",
" r.raise_for_status()\n",
" items.extend(r.json()['items'])\n",
" \n",
" with open(os.path.join('data', '%s.pkl' % date_range), 'wb') as fp:\n",
" pickle.dump(items, fp)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10190"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"items = []\n",
"for n in os.listdir('data'):\n",
" if n.endswith('.pkl'):\n",
" with open(os.path.join('data', n), 'rb') as fp:\n",
" items.extend(pickle.load(fp))\n",
"\n",
"len(items)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"events = []\n",
"total_pr = len(items)\n",
"open_pr = 0\n",
"closed_pr = 0\n",
"OPEN, CLOSE = 0, 1\n",
"open_time = []\n",
"for pr in items:\n",
" created_at = dateutil.parser.parse(pr['created_at'])\n",
" bisect.insort(events,\n",
" (created_at, OPEN, pr['html_url']))\n",
" if pr.get('closed_at'):\n",
" closed_at = dateutil.parser.parse(pr['closed_at'])\n",
" bisect.insort(events,\n",
" (closed_at, CLOSE, pr['html_url']))\n",
" closed_pr += 1\n",
" open_time.append((closed_at - created_at).total_seconds())\n",
" else:\n",
" open_pr += 1"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"10190 total PRs, 9971 now closed, 219 still open\n"
]
}
],
"source": [
"print \"{0} total PRs, {1} now closed, {2} still open\".format(total_pr, closed_pr, open_pr)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Average time to close is 22.3 days\n"
]
}
],
"source": [
"print \"Average time to close is %.1f days\" % (sum(open_time) / len(open_time) / 3600.0 / 24.0)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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V4aA/DPxQ0rOBLcB5ZOFxvaTzge3Au1PZW4C3A5uA0VSWiOiV9FlgaSp3aUT0zkgrZsBI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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1105aad50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = pyplot.subplot(111)\n",
"ax.hist([t / 3600.0 / 24.0 for t in open_time], histtype='stepfilled', cumulative=True, bins=1000, range=(0, 30))\n",
"ax.set_title(\"Time to close\")\n",
"ax.set_xlabel(\"Time to close (days)\")\n",
"None"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"x = [events[0][0]]\n",
"opened = [0]\n",
"closed = [0]\n",
"remain = [0]\n",
"for date, what, nb in events:\n",
" x.append(date)\n",
" opened.append(opened[-1])\n",
" closed.append(closed[-1])\n",
" remain.append(remain[-1])\n",
" x.append(date)\n",
" if what == OPEN:\n",
" opened.append(opened[-1] + 1)\n",
" closed.append(closed[-1])\n",
" remain.append(remain[-1] + 1)\n",
" elif what == CLOSE:\n",
" opened.append(opened[-1])\n",
" closed.append(closed[-1] + 1)\n",
" remain.append(remain[-1] - 1)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"mean_age = []\n",
"x_age = []\n",
"opened_prs = {}\n",
"for date, what, nb in events:\n",
" x_age.append(date)\n",
" if opened_prs:\n",
" mean_age.append(sum((date - o).total_seconds() / 3600.0 / 24.0\n",
" for o in opened_prs.itervalues()) / len(opened_prs))\n",
" else:\n",
" mean_age.append(0)\n",
" if what == OPEN:\n",
" opened_prs[nb] = date\n",
" elif what == CLOSE:\n",
" del opened_prs[nb]\n",
" x_age.append(date)\n",
" if opened_prs:\n",
" mean_age.append(sum((date - o).total_seconds() / 3600.0 / 24.0\n",
" for o in opened_prs.itervalues()) / len(opened_prs))\n",
" else:\n",
" mean_age.append(0)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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MGjWKDh06kJeXR+PGjZk8eTK33HIL1113Ha1bt6Z169Z06dIleA8sIiIiIsXihx/gvfdg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\nImlMSZ+IiIiIiEga+39v9I0qcKWYRAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x117540c90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, (ax1, ax2, ax3) = pyplot.subplots(3, 1, figsize=(15,12), sharex=True)\n",
"ax1.plot(x, opened, 'b-')\n",
"ax1.plot(x, closed, 'r-')\n",
"ax1.legend(['opened', 'closed'])\n",
"ax2.plot(x, remain, 'g-')\n",
"ax2.legend(['currently open'])\n",
"ax3.plot(x_age, mean_age, 'k-')\n",
"ax3.legend(['Average age (days) of open PRs'])\n",
"None"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "_python2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.14"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
@slel
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slel commented Jan 26, 2018

Suggestion: add a markdown cell at the top to give context, say what this is.

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