forked from kubernetes/test-infra
-
Notifications
You must be signed in to change notification settings - Fork 0
/
find_developers.py
executable file
·97 lines (78 loc) · 2.97 KB
/
find_developers.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
#!/usr/bin/env python3
# Copyright 2017 The Kubernetes Authors.
#
# 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.
# Need to figure out why this only fails on travis
# pylint: disable=bad-continuation
"""Selects a random sample of kubernetes developers."""
import json
import os
import random
import sys
import functools
import requests
def download_content():
"""Downloads contributor data from github."""
resp = requests.get('https://api.github.com/repos/kubernetes/kubernetes/stats/contributors')
resp.raise_for_status()
data = resp.content
return data
def load_content(data):
"""Parse the json response."""
users = [User(b) for b in json.loads(data)]
return users
@functools.total_ordering
class User: # pylint: disable=too-few-public-methods
"""Store .user and number of .total and .recent commits."""
def __init__(self, blob):
self.user = blob['author']['login']
weeks = blob['weeks']
self.recent = sum(k['c'] for k in weeks[-12:])
self.total = sum(k['c'] for k in weeks)
def __eq__(self, other):
return (self.recent, self.total, self.user) == (other.recent, other.total, other.user)
def __lt__(self, other):
return (self.recent, self.total, self.user) < (other.recent, other.total, other.user)
def find_users(users, num, top, middle, bottom):
"""Selects num users from top, middle, bottom thirds with specified biases."""
total = len(users)
if num >= total:
return users
third = int(total/3.0)
# pylint: disable=invalid-name
p3 = random.sample(users[:third], int(num * bottom))
p5 = random.sample(users[third:-third], int(num * middle))
p7 = random.sample(users[-third:], int(num * top))
# pylint: enable=invalid-name
have = []
have.extend(p3)
have.extend(p5)
have.extend(p7)
if len(have) < num:
missing = num - len(have)
remaining = [u for u in users if u not in have]
extra = random.sample(remaining, missing)
have.extend(extra)
return have
def main(path=None, num=35, top=0.6, middle=0.2, bottom=0.2):
"""Select users to survey."""
if not path:
data = download_content()
else:
with open(os.path.expanduser(path)) as fp:
data = fp.read()
users = sorted(load_content(data))
for user in find_users(users, num, top, middle, bottom):
print('%s (%d recent commits, %d total)' % (user.user, user.recent, user.total))
if __name__ == '__main__':
main(*sys.argv[1:])