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readme-scrapper-condenser.py
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readme-scrapper-condenser.py
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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()