-
Notifications
You must be signed in to change notification settings - Fork 0
/
readme-scrapper-condenser.py
221 lines (188 loc) · 8.5 KB
/
readme-scrapper-condenser.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
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
from pyquery import PyQuery as pq
from github import Github
from urllib.request import Request, urlopen
from urllib.error import HTTPError,URLError
import base64
import os
import json
import re
import collections
languages = ["javascript", "ruby", "java", "php", "python", "c++", "c", "objective-c", "c#", "shell", "css", "perl", "viml", "haskell", "scala"]
stop_words = ["and", "the", "it", "on", "in", "to", "a", "for", "more", "of", "with", "your", "is", "from", "see", "also"]
def get_most_starred_repos():
g = Github()
for lang in languages:
i = 0
metadata = []
# create folder named after current language
if not os.path.exists(lang):
os.makedirs(lang)
# search top repos of lang by descending stars
for repo in g.search_repositories("",sort="stars", order="desc", language=lang):
temp_data = {}
temp_data["name"] = repo.name
temp_data["full_name"] = repo.full_name
temp_data["stargazers_count"] = repo.stargazers_count
temp_data["forks_count"] = repo.forks_count
temp_data["description"] = repo.description
temp_data["id"] = repo.id
temp_data["size"] = repo.size
temp_data["language"] = lang
temp_data["__html_location"] = lang+"/"+str(i)+"-readme.html"
metadata.append(temp_data)
i = i + 1
if i == 150:
break
f = open(lang+"/metadata.json", 'w')
f.write(json.dumps(metadata))
f.close()
def download_readme_html():
for lang in languages:
json_data=open(lang+'/metadata.json')
data = json.load(json_data)
for repo in data:
if os.path.isfile(repo["__html_location"]):
continue
else:
# fetch readme as a rendered html (as seen in github)
q = Request('https://api.github.com/repos/'+repo["full_name"]+'/readme')
q.add_header('Accept', 'application/vnd.github.v3.html')
try:
a = urlopen(q)
except (HTTPError) as err:
if err.code == 404:
print("Page not found!" + repo["full_name"])
continue
elif err.code == 403:
print("Access denied!")
exit()
else:
print("error downloading readme from" + repo["full_name"] )
continue
a_content = a.read()
f = open(repo["__html_location"], 'wb')
f.write(a_content)
f.close()
def link_count(d, link_word):
count = 0
for link in d("a"):
if pq(link).attr("href") and link_word in pq(link).attr("href"):
count = count + 1
return count
def anchor_link_count(d):
count = 0
for link in d("a"):
if pq(link).attr("href") and '#' != pq(link).attr("href")[0]:
count = count + 1
return count
def html_tag_count(d, html_tag):
count = 0
for link in d(html_tag):
count = count + 1
return count
def word_mention_count(d, word):
text = d.text()
return text.lower().split().count(word)
def words_containing_word_count(d, word):
text = d.text().lower().split()
return len([w for w in text if word in w])
def word_count(d):
return len(d.text().split())
def email_count(d):
text = d.text().lower().split()
return len([x for i, x in enumerate(text) if re.search(r"^[A-Za-z0-9\.\+_-]+@[A-Za-z0-9\._-]+\.[a-zA-Z]*$", x)])
def word_document_frequency(hash_counter, words):
for word in words:
if word not in hash_counter:
hash_counter[word] = 1
else:
hash_counter[word] = 1 + hash_counter[word]
return hash_counter
def get_stats():
for lang in languages:
json_data=open(lang+'/metadata.json')
data = json.load(json_data)
h1_word_hash = {}
hn_word_hash = {}
repos = { "lang":lang,"words":0, "name":0, "twitter":0, "github":0, "codeclimate":0, "travis":0, "images":0, "paragraphs":0, "code":0, "titles":0, "bugs":0, "license":0, "email":0, "donation":0, "link":0 }
for repo in data:
if os.path.isfile(repo["__html_location"]):
d = pq(filename=repo["__html_location"])
# print(repo["__html_location"])
repo["_word_count"] = word_count(d)
repos["words"] += repo["_word_count"]
repo["_name_mention_count"] = word_mention_count(d,repo["name"].lower())
repos["name"] += repo["_name_mention_count"]
repo["_twitter_link_count"] = link_count(d,"twitter")
if repo["_twitter_link_count"] > 0:
repos["twitter"] += 1
repo["_github_link_count"] = link_count(d,"github")
repos["github"] += repo["_github_link_count"]
repo["_travis_link_count"] = link_count(d,"travis")
if repo["_travis_link_count"] > 0:
repos["travis"] += 1
repo["_codeclimate_link_count"] = link_count(d,"codeclimate")
if repo["_codeclimate_link_count"] > 0:
repos["codeclimate"] += 1
repo["_images_count"] = html_tag_count(d,"img")
if repo["_images_count"] > 0:
repos["images"] += 1
repo["_paragraph_count"] = html_tag_count(d,"p")
repos["paragraphs"] += repo["_paragraph_count"]
repo["_code_count"] = html_tag_count(d,"pre")
if repo["_code_count"] > 0:
repos["code"] += 1
repo["_header_count"] = html_tag_count(d,":header")
if repo["_header_count"] > 0:
repos["titles"] += 1
repo["_h1_count"] = html_tag_count(d,"h1")
repo["_license_mention_count"] = words_containing_word_count(d,"license")
if repo["_license_mention_count"] > 0:
repos["license"] += 1
repo["_issue_mention_count"] = words_containing_word_count(d,"issue")
repo["_donation_mention_count"] = words_containing_word_count(d,"donat")
if repo["_donation_mention_count"] > 0:
repos["donation"] += 1
repo["_bug_mention_count"] = words_containing_word_count(d,"bug")
if repo["_bug_mention_count"] > 0 or repo["_issue_mention_count"] > 0:
repos["bugs"] += 1
repo["_email_count"] = email_count(d)
if repo["_email_count"] > 0:
repos["email"] += 1
repo["_anchor_count"] = anchor_link_count(d)
if repo["_anchor_count"] > 0:
repos["link"] += 1
set_of_h1_words = set( re.sub(r'([^\s\w])+', '', d("h1").text().lower() ).split())
if repo["name"].lower() in set_of_h1_words:
set_of_h1_words.discard(repo["name"].lower())
set_of_h1_words.add("__github_repo_name")
word_document_frequency(h1_word_hash, set_of_h1_words)
set_of_hn_words = set( re.sub(r'([^\s\w])+', '', d(":header").text().lower() ).split())
if repo["name"].lower() in set_of_hn_words:
set_of_hn_words.discard(repo["name"].lower())
set_of_hn_words.add("repo_name")
word_document_frequency(hn_word_hash, set_of_hn_words)
# od = collections.OrderedDict(sorted(h1_word_hash.items(), key=lambda x: x[1]))
for word in stop_words:
if word in hn_word_hash.keys():
hn_word_hash[word]=-1
od2 = collections.OrderedDict(sorted(hn_word_hash.items(), key=lambda x: x[1]))
common_words = list(od2.items())[::-1]
print(json.dumps(common_words[:15]))
# print(repos)
repos["words"] /= 150
repos["words"] = int(round(repos["words"],1))
repos["name"] /= 150
repos["name"] = int(round(repos["name"],1))
repos["github"] /= 150
repos["github"] = int(round(repos["github"],1))
repos["paragraphs"] /= 150
repos["paragraphs"] = int(round(repos["paragraphs"],1))
# print(repos)
f = open(lang+".json", 'w')
f.write(json.dumps(repos))
f.close()
f = open(lang+"-words.json", 'w')
f.write(json.dumps(common_words[:15]))
f.close()
get_stats()