def markdownify(url_list, **options):
articles = []
images = []
paragraph_links = options['paragraph_links']
wrap_text = options['wrap_text']
preamble = options['preamble']
for url in url_list:
req = urllib2.Request(url,None,{'Referer': url_list[0]})
html = urllib2.urlopen(req).read()
document = Document(html, url=url)
readable_title = document.short_title()
summary = document.summary()
summary_doc = build_doc(summary)
images.extend([a.get('src') for a in summary_doc.findall('.//img')])
articles.append(document.summary())
markdown_articles = []
for (article, url) in zip(articles, url_list):
h = html2text.HTML2Text(baseurl=url)
h.inline_links = False
h.links_each_paragraph = (paragraph_links and 1) or 0
h.body_width = (wrap_text and 78) or 0
markdown_articles.append(h.handle(article))
combined_article = u"\n\n----\n\n".join(markdown_articles)
if preamble:
combined_article = (u"Title: %s \nOriginal URL: %s\n\n" % (readable_title, url_list[0])) + combined_article
return combined_article.encode("utf-8")
def strip_chapter(self, html):
"""
Strips chapter and gets relevant HTML using Readability
:param html: str
:return:
"""
doc = Document(html)
if len(doc.summary()) <= 20:
content = str(BeautifulSoup(html, 'html.parser').find_all('div', class_=self.main_content_div)[0])
content = '<html><head><meta charset="utf-8"></head>' + content + '</html>'
return doc.short_title(), content
return (doc.short_title(),
str(doc.summary()).replace('<html>', '<html><head><meta charset="utf-8"></head>'))
def strip_chapter(self, html):
"""
Strips chapter and gets relevant HTML using Readability
:param html: str
:return:
"""
doc = Document(html)
if len(doc.summary()) <= 20:
print 'This page has errors, returning entry-content div raw HTML.'
content = str(BeautifulSoup(html, 'html.parser').find_all('div', class_=self.main_content_div)[0])
content = '<html><head><meta charset="utf-8"></head>' + content + '</html>'
return doc.short_title(), content
return (doc.short_title(),
str(doc.summary()).replace('<html>', '<html><head><meta charset="utf-8"></head>'))
def get_data(url):
error_num = 0
while True:
if error_num >= 10:
cprint("Finished Because error_num reached 10 times", "red")
return 0, 0
try:
req = requests.get(url)
if int(req.status_code) == 503:
cprint("Google detected the abnormal network traffic", "red")
time.sleep(60 * 60)
elif int(req.status_code) != 200:
cprint("Now Get StatusCode{}: Error_num{}".format(req.status_code, error_num), "red")
return 0, 0
else:
html = req.text
break
except ConnectionError:
cprint("Now Get ConnectionError: Error_num{}".format(error_num), "red")
error_num += 1
time.sleep(5)
try:
document = Document(html)
content_html = document.summary()
content_text = lxml.html.fromstring(content_html).text_content().strip()
short_title = document.short_title()
return short_title, content_text
except:
return 0, 0
def get_summary(url):
html = urllib.request.urlopen(url).read()
doc = Document(html)
doc.parse(["summary", "short_title"])
readable_article = doc.summary()
readable_title = doc.short_title()
return readable_article, readable_title
class Article:
def __init__(self, url):
print('Saving page: {}'.format(url))
res = requests.get(url)
self.url = url
self.article = Document(res.content)
self._add_title()
self._save_images()
def _add_title(self):
self.root = etree.fromstring(self.article.summary())
body = self.root.find('body')
title = self.article.title()
ascii_title = unidecode(title) if type(title) == unicode else title
title_header = etree.HTML('<h2>{}</h2>'.format(ascii_title))
body.insert(0, title_header)
def _save_images(self):
tmppath = tempfile.mkdtemp()
images = self.root.xpath('//img')
for img in images:
imgsrc = img.get('src')
# handle scheme-agnostic URLs
if 'http' not in imgsrc and '//' in imgsrc:
imgsrc = 'http:{}'.format(imgsrc)
# handle relative file paths
elif 'http' not in imgsrc:
parsed = urlparse(self.url)
imgsrc = '{}://{}{}'.format(parsed.scheme, parsed.netloc, imgsrc)
filename = os.path.basename(imgsrc)
dest = os.path.join(tmppath, filename)
try:
res = requests.get(imgsrc)
except Exception as e:
print('Could not fetch image ({}) from "{}"'.format(str(e), imgsrc))
return
if res.status_code == 404:
print('Could not fetch image (HTTP 404), attempted fetch: "{}", source URL: {}'.format(imgsrc, img.get('src')))
continue
with open(dest, 'wb') as f:
f.write(res.content)
img.set('src', dest)
@property
def title(self):
return self.article.title()
@property
def html(self):
return etree.tostring(self.root)
def find_full_text(html_source):
doc = Doc(html_source)
content = doc.summary()
stripped = strip_tags(content)
stripped = to_plain_text(stripped)
return stripped
async def enrich(self, result):
if not self.soup:
return result
result.set('title', self.soup.title.string, 0, 'textlength')
if result.has('content'):
return result
parts = []
for txt in self.soup.find_all("noscript"):
if txt.string is not None:
parts.append(txt.string)
html = " ".join(parts).strip()
if not html:
html = self.soup.all_text()
try:
doc = Document(html, url=self.url)
content = doc.summary(html_partial=True)
result.set('content', sanitize_html(content))
# pylint: disable=bare-except
except:
pass
return result
def process(doc, url):
html_body = Document(doc)
summary = html_body.summary()
title = html_body.short_title()
images = []
for img in html_body.reverse_tags(html_body.html, 'img'):
try:
fp = tempfile.NamedTemporaryFile(dir=settings.TEMP_DIR)
img_src = urljoin(url, img.get('src'))
if re.search(r'http[s]?://', img_src):
r = requests.get(img_src, stream=True)
write_file(r, fp)
else:
image = base64.b64decode(img_src.split(',')[1])
fp.write(image)
images.append(fp)
except Exception:
logger.error(
'extractor.formats.html Image Collector Error!!',
exc_info=True,
extra={'data': {
'url': url
}},
)
html = '<h1>' + title + '</h1>' + summary
regex = re.compile('\n*', flags=re.IGNORECASE)
html = '<p>{}</p>'.format(regex.sub('', html))
soup = BeautifulSoup(html, 'lxml')
text = _get_plain_text(soup)
return text, images, 1
def main():
novels = {
'cbi': 'https://boxnovel.com/novel/castle-of-black-iron/chapter-',
'sgg': 'https://boxnovel.com/novel/super-gene/chapter-',
'sas': 'https://boxnovel.com/novel/strongest-abandoned-son/chapter-',
'atg': 'https://www.wuxiaworld.com/novel/against-the-gods/atg-chapter-'
}
total = []
if len(sys.argv) < 4:
inicio = int(sys.argv[2])
fim = int(sys.argv[2]) + 1
else:
inicio = int(sys.argv[2])
fim = int(sys.argv[3]) + 1
url = novels[sys.argv[1]]
for i in range(inicio, fim):
response = getPage(url + str(i))
doc = Document(response.text)
fileName = re.sub(r'[^a-zA-Z0-9]+', ' ', doc.title())
total.append(doc.summary())
print(i)
f = open(fileName + str(fim - 1) + '.html', 'w')
for i in total:
f.write(i)
f.close()
def _parse_article(self, response):
feed_entry = response.meta["feed_entry"]
il = FeedEntryItemLoader(parent=response.meta["il"])
try:
response.text
except AttributeError:
# Response is not text (e.g. PDF, ...).
il.add_value("title", feed_entry.get("title"))
il.add_value("content_html", feed_entry.get("summary"))
return il.load_item()
doc = Document(response.text, url=response.url)
il.add_value("title", doc.short_title() or feed_entry.get("title"))
summary = feed_entry.get("summary")
try:
content = doc.summary(html_partial=True)
if summary and len(summary) > len(content):
# Something probably went wrong if the extracted content is shorter than
# the summary.
raise Unparseable
except Unparseable:
content = summary
il.add_value("content_html", content)
return il.load_item()
def reada(url, cache=True):
if cache:
cached = memcache.get(key=url)
if cached is not None:
return cached
#file = urllib.urlopen(url)
#import urllib2
opener = urllib2.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0')]
file = opener.open(url)
##
enc = 'utf-8'
text = ''
try:
# 1, web html 2 readability
raw = Document(file.read(), url=url)
html = raw.summary().encode(enc, 'replace')
title = raw.short_title()
# 2, readability 2 markdown, copy from main
data = html.decode(enc)
h = html2text.HTML2Text(baseurl=url)
h.ignore_images = False
h.body_width = 100000
text = h.handle(data)
finally:
file.close()
d = {'url': url, 'title': title, 'content': text}
if cache:
memcache.add(key=url, value=d, time=600)
return d
def extract_article(url):
r = requests.get(url)
# the the url exists, continue
if r.status_code == 200:
# extract and parse response url
url = parse_url(r.url)
# extract html
html = r.content.decode('utf-8', errors='ignore')
# run boilerpipe
BP = Extractor(html=html)
# run readability
Rdb = Document(html)
html = Rdb.summary()
# return article data
return {
'extracted_title': Rdb.short_title().strip(),
'extracted_content': strip_tags(BP.getText()),
}
# otherwise return an empty dict
else:
return {}
def process(doc, params):
url = params['url']
html_body = Document(doc)
summary = html_body.summary()
title = html_body.short_title()
images = []
for img in html_body.reverse_tags(html_body.html, 'img'):
try:
fp = tempfile.NamedTemporaryFile(dir='/tmp/')
img_src = urljoin(url, img.get('src'))
img_name = None
if re.search(r'http[s]?://', img_src):
r = requests.get(img_src, stream=True)
img_name = get_filename_from_url(img_src)
write_file(r, fp)
else:
img_meta, content = img_src.split(',')
image = base64.b64decode(content)
img_name = get_filename_from_base64(img_meta)
fp.write(image)
images.append((img_name, fp))
except Exception:
logger.error(
'extractor.formats.html Image Collector Error!!',
exc_info=True,
extra={'data': {'url': url}},
)
html = '<h1>' + title + '</h1>' + summary
html = '<p>{}</p>'.format(html)
text = html2text.html2text(html)
return text, images, 1, None
def extract_article(url):
r = requests.get(url)
# the the url exists, continue
if r.status_code == 200:
# extract and parse response url
url = parse_url(r.url)
# extract html
html = r.content.decode('utf-8', errors='ignore')
# run boilerpipe
# boilerpipe_extractor = Extractor(html=html)
# run readability
readability_extractor = Document(html)
html = readability_extractor.summary()
# return article data
return {
'title': readability_extractor.short_title(),
'html': html,
'content': strip_tags(html).encode('utf-8', errors='ignore'),
'url': url
}
# otherwise return an empty dict
else:
return {}
class Gist:
keyword_pattern = re.compile(r'^[^\d]+$')
stop_words = set(get_stop_words('en'))
def __init__(self, html):
self.html = html
self.document = Document(html)
@property
def title(self):
return self.document.short_title()
@cached_property
def text(self):
text = self.document.summary()
text = re.sub('<br[^>]+>', '\n', text)
text = re.sub('</?p[^>]+>', '\n\n', text)
text = re.sub('<[^>]+>', '', text)
text = re.sub('^[ \t]+$', '', text)
text = re.sub('\n{3,}', '\n\n', text, flags=re.MULTILINE)
return text
@staticmethod
def _common_prefix(one, two):
parallelity = [x == y for x, y in zip(one, two)] + [False]
return parallelity.index(False)
@classmethod
def _find_representative(cls, stem, text):
tokens = text.split()
prefixes = {token: cls._common_prefix(token, stem) for token in tokens}
best = lambda token: (-token[1], len(token[0]))
return sorted(prefixes.items(), key=best)[0][0]
@classmethod
def _is_good_keyword(cls, word):
return (word not in cls.stop_words) and \
cls.keyword_pattern.match(word)
@classmethod
def find_keywords(cls, text):
whoosh_backend = SearchForm().searchqueryset.query.backend
if not whoosh_backend.setup_complete:
whoosh_backend.setup()
with whoosh_backend.index.searcher() as searcher:
keywords = searcher.key_terms_from_text(
'text', text, numterms=10, normalize=False)
keywords = list(zip(*keywords))[0] if keywords else []
keywords = [cls._find_representative(keyword, text) for keyword in keywords]
keywords = [keyword for keyword in keywords if cls._is_good_keyword(keyword)]
#no double keywords in list
keywords = list(set(keywords))
#no punctuation in suggested keywords
keywords = [''.join(c for c in s if c not in string.punctuation) for s in keywords]
return keywords
@property
def keywords(self):
return self.find_keywords(self.text)
def run(index):
print "Index %d" % index
dirname = "data/%04d" % index
# url of english article
url = open(dirname + "/url_en.txt").read()
# download html
html = urllib.urlopen(url).read().decode('latin-1')
# apply readability
document = Document(html)
article = document.summary()
article = nltk.clean_html(article)
# replace latin characters
article = re.sub(u' ', u'\n', article)
article = re.sub(u'\x92', u'`', article)
article = re.sub(u'\x96', u'-', article)
# article_en.txt
output = codecs.open(dirname + "/article_en.txt", 'w', encoding='ascii', errors='ignore')
output.write(article)
output.close()
# title.txt
output = codecs.open(dirname + "/title.txt", 'w', encoding='ascii', errors='ignore')
output.write(document.title())
output.close()
def extract_article(url):
r = requests.get(url)
# the the url exists, continue
if r.status_code == 200:
# extract and parse response url
url = parse_url(r.url)
# extract html
html = r.content.decode('utf-8', errors='ignore')
# run boilerpipe
# boilerpipe_extractor = Extractor(html=html)
# run readability
readability_extractor = Document(html)
html = readability_extractor.summary()
# return article data
return {
'title': readability_extractor.short_title(),
'html': html,
'content': strip_tags(html).encode('utf-8', errors='ignore'),
'url': url
}
# otherwise return an empty dict
else:
return {}
def process(doc):
html_body = Document(doc)
summary = html_body.summary()
title = html_body.short_title()
text = text_maker.handle(summary)
return title, text
def main():
html = urllib.urlopen("http://habrahabr.ru/post/150756/").read()
doc = Document(html)
short_title = doc.short_title()
readable_article = doc.summary()
f = open("C:\\users\\mykola\\documents\\%s.html" % short_title, "wb")
f.write(readable_article.encode("utf-8"))
f.close()
def _getResponseText(self, response):
'''
(reponse) -> Text
Returns text within the body of an HttpResponse object.
'''
readability = Document(response.body)
content = readability.title() + readability.summary()
return content
def extract(self, html):
# https://github.com/buriy/python-readability/blob/master/readability/readability.py
doc = Document(html)
self.__title = doc.title()
self.__html = doc.summary()
self.__md = html2text.html2text(self.__html)
self.__text = self.__format_to_text(self.__html)
return self.__text
def main():
html = urllib.urlopen("http://habrahabr.ru/post/150756/").read()
doc = Document(html)
short_title = doc.short_title()
readable_article = doc.summary()
f = open("C:\\users\\mykola\\documents\\%s.html" % short_title, "wb")
f.write(readable_article.encode("utf-8"))
f.close()
def download_via_url(url):
response = requests.get(url)
doc = Document(response.text)
title = doc.title()
summary = doc.summary()
soup = BeautifulSoup(summary, "html.parser")
return title, soup.text
def get_article_from_item(self, item):
url = item['link']
logging.debug(url)
author = 'n/a'
if item.has_key('author'):
author = item.author
html = urllib.urlopen(url).read()
doc = Document(html)
return Article(doc.title(), doc.short_title(), author, doc.summary())
def crawl_url(url):
html = requests.get(url)
doc = Document(html.content)
content = doc.summary().encode('utf-8')
title = doc.title().encode('utf-8')
return {
'content': content,
'title': title
}
def process_html(html):
doc = Document(html)
return {
'content': doc.content(),
'clean_html': doc.get_clean_html(),
'short_title': doc.short_title(),
'summary': html_to_text(doc.summary()),
'title': doc.title()
}
def news():
search = request.args.get('q')
if request.args.get('count') :
count = request.args.get('count')
else :
count=10
if request.args.get('offset') :
offset = request.args.get('offset')
else :
offset=0
if search:
headers = {'Ocp-Apim-Subscription-Key': 'd94125558b884a309dd71f9e1aa8b9fb'}
params = urllib.parse.urlencode({
'q': search,
'count': count,
'offset': offset,
'mkt': 'en-id',
'safesearch': 'Moderate',
})
try:
conn_url = http.client.HTTPSConnection('api.cognitive.microsoft.com')
conn_url.request("GET", "/bing/v7.0/news/search?%s" % params, "{body}", headers)
response = conn_url.getresponse()
data = response.read().decode('utf-8')
data_array = json.loads(data)
conn_url.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
print(data_array)
i=0
for result in data_array['value']:
try:
response = requests.get(result['url'], verify=False, allow_redirects=False)
except requests.exceptions.ConnectionError:
print(result['url'], "Connection refused")
response = requests.get("https://pens.ac.id", verify=False)
print(result['url'])
doc = Document(response.content)
raw = BeautifulSoup(doc.summary(html_partial=True), 'html.parser').get_text()
result['sentiment'] = int(getSentiment(raw))
print("SENTIMENT : ", result['sentiment'])
result['status'] = analyze(raw)
result['id_rank'] = i
if result['datePublished']:
result['datePublished'] = parser.parse(result['datePublished'])
result['datePublished'] = result['datePublished'].strftime('Diterbitkan pada %d %b %Y pukul %I:%M WIB')
print(result['datePublished'])
i+=1
return render_template("news.html", data=data_array)
else:
return render_template("news.html")
def get_article_from_item(self, item):
url = item['link']
logging.debug(url)
author = 'n/a'
if item.has_key('author'):
author = item.author
html = urllib.urlopen(url).read()
doc = Document(html)
return Article(doc.title(), doc.short_title(), author, doc.summary())
def readability_extractor(self, html):
try:
doc = Document(html)
content = doc.summary()
if content and content != "":
return content
else:
return self.html2text_extractor(html)
except:
return self.html2text_extractor(html)
def extract_article(self):
"""Returns only readable content
Returns:
data - {
'title': 'Title of the article',
'content': 'HTML body of the article'
}
"""
doc = Document(self._html)
return {'title': doc.title(), 'content': doc.summary()}
def extract_article(self):
"""Returns only readable content
Returns:
data - {
'title': 'Title of the article',
'content': 'HTML body of the article'
}
"""
doc = Document(self._html)
return {'title': doc.title(), 'content': doc.summary()}
def extract_by_readability(html):
document = Document(html)
def strip_html(html):
return re.sub(r'<[^<]+?>', '', html)
return {
'title': ensure_unicode(document.short_title()),
'body': strip_html(ensure_unicode(document.summary())),
}
def body_via_readability(page_html, source_url):
"""
Readbility is good at article + title.
"""
obj = Document(page_html)
body = obj.summary()
if not body:
return None
return html.prepare(body, source_url)
def extract_data(self, patchurl):
try:
f = requests.get(patchurl)
html = f.content
doc = Document(html)
title = doc.short_title()
summary = doc.summary()
return smart_str(title), smart_str(summary)
except:
return None, None
def get_content_from_link(url):
response = requests.get(url, verify=False)
print(url)
doc = Document(response.content)
raw = BeautifulSoup(doc.summary(html_partial=True),
'html.parser').get_text()
data = raw.replace('\n', ' ').replace('\r', '').replace('\"', '\'')
data = re.sub(' +', ' ', data)
url = url
return [[url, data]]
def body_via_readability(page_html, source_url):
"""
Readbility is good at article + title.
"""
obj = Document(page_html)
body = obj.summary()
if not body:
return None
return html.prepare(body, source_url)
def extract_data(self, patchurl):
try:
f = requests.get(patchurl)
html = f.content
doc = Document(html)
title = doc.short_title()
summary = doc.summary()
return smart_str(title), smart_str(summary)
except:
return None, None
def decode_doc(doc, url):
#print('doc')
cs = re.compile(b'^<(meta|META).*charset=("|\')?([^ "\']*)')
pkey = re.compile(b'^<(meta|META).*keywords.*content=("|\')?([^ "\']*)')
codec = None
keywords = None
#print(*doc)
for l in doc :
if (l.startswith(b'<meta') or l.startswith(b'<META')) :
if codec is None and (b'charset' in l) :
m = cs.match(l)
codec = m.group(3).decode()
if keywords is None and b'keywords' in l :
m = pkey.match(l)
if m :
keywords = m.group(3)
sdoc = []
for l in doc :
try :
l = l.decode(codec)
except :
l = ''
sdoc.append(l)
try :
if keywords :
keywords = keywords.decode(codec)
else :
#print(*sdoc, sep = '\n')
keywords = ''
keywords = re.split(r'[ ,;\|]',keywords)
#print(keywords.encode('utf8'))
except :
pass
#if sum(len(x) for x in sdoc) < 1000 : return
doc = '\n'.join(sdoc)
#if len(doc) < 1000 :return
try :
doc = Document(doc)
title = doc.short_title()
content = doc.summary()
except :
return
#print(doc.summary().encode('utf8'))
#print(doc.short_title().encode('utf8'))
data = {"url":url,
'keywords':keywords,
'title': title,
'content':content}
return data
def try_readability():
html = urllib.request.urlopen(ARTICLE).read()
doc = Document(html)
con = BeautifulSoup(doc.summary()).get_text()
tit = doc.short_title()
print("===READABILITY===")
print("=CONTENT=")
print(con)
print("=TITLE=")
print(tit)
def parse_news_content(self, response):
for link in self.full_article_link_extractor.extract_links(response):
request = response.request.replace(url=link.url)
yield request
item = self._create_item(response)
if item is not None:
doc = Document(response.body)
item['title'] = doc.short_title()
item['content'] = html2text.html2text(doc.summary())
yield item
def import_html(results, content):
content = Document(content)
converter = HTML2Text()
converter.body_width = 0
body = content.summary()
text = BeautifulSoup(body).get_text(" ")
results.investigation.update(name=content.short_title(),
import_md=converter.handle(body),
import_text=text)
def extract_url_content(self, url=None):
if not url:
url = self.url
url_parse = urlparse(url)
headers = {}
if url_parse.netloc != "t.co":
user_agent = "Mozilla/5.0 (X11; Linux x86_64; rv:9.0.1) Gecko/20100101 Firefox/9.0.1 Iceweasel/9.0.1"
headers['User-Agent'] = user_agent
content = requests.get(url, headers=headers)
self.content_type = content.headers.get('content-type')
self.status_code = content.status_code
self.content = content.text
self.url = self.clean_url(self.url)
self.url = self.url_morph(content.url)
self.image = self.find_taller_image(self.content)
if self.image:
self.logger.info("found image : %s"%self.image)
self.url_parse = urlparse(self.url)
if url_parse.netloc in oembed.keys():
print "found oembed"
mod = oembed[url_parse.netloc]
self.content = mod.get_widget(url)
self.summary = self.content
self.title = os.path.basename(url_parse.path)
self.content_type = "collectr/parsed"
self.tags = [mod.get_tag()]
self.tagstring = mod.get_tag()
return
if self.status_code >= 400:
raise UrlExtractException("Can't extract content for %s (http<%d>)" % (url, content.status_code))
elif "image" in self.content_type:
print "log: content type : image"
self.summary = """<img src="%s" />""" % self.url
self.title = self.url
elif "html" in self.content_type:
doc = Document(self.content)
self.summary = doc.summary()
try:
self.title = doc.short_title()
except AttributeError:
self.title = u"No title"
else:
self.summary = None
self.title = os.path.basename(url_parse.path)
def search():
search = request.args.get('q')
if request.args.get('count') :
count = request.args.get('count')
else :
count=10
if request.args.get('offset') :
offset = request.args.get('offset')
else :
offset=0
if search:
headers = {'Ocp-Apim-Subscription-Key': 'cfbabad517954c1f97ac66623a4fa7ee'}
params = urllib.parse.urlencode({
'q': search,
'count': count,
'offset': offset,
'mkt': 'id-ms',
'safesearch': 'Moderate',
})
try:
conn_url = http.client.HTTPSConnection('api.cognitive.microsoft.com')
conn_url.request("GET", "/bing/v7.0/search?%s" % params, "{body}", headers)
response = conn_url.getresponse()
data = response.read().decode('utf-8')
data_array = json.loads(data)
conn_url.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
print(data_array)
i=0
for result in data_array['webPages']['value']:
try:
response = requests.get(result['url'], verify=False,stream=True)
except requests.exceptions.ConnectionError:
print(result['url'], "Connection refused")
response = requests.get("https://pens.ac.id", verify=False)
print(result['url'])
doc = Document(response.content)
raw = BeautifulSoup(doc.summary(html_partial=True), 'html.parser').get_text()
result['sentiment'] = int(getSentiment(raw))
print("SENTIMENT : ", result['sentiment'])
result['status'] = analyze(raw)
result['id_rank'] = i
i+=1
return render_template("index.html", data=data_array)
else:
return render_template("index.html")
def tell_url(un, url):
buff = urllib2.urlopen(url)
doc = Document(buff.read())
html_buff = doc.summary()
text_buff = extract_text(html_buff)
class_name = un.tell_buff(text_buff)
if class_name:
class_name_human = un.get_class_name_human(class_name)
else:
class_name_human = None
return class_name_human
def tell_url(un, url):
buff = urllib2.urlopen(url)
doc = Document(buff.read())
html_buff = doc.summary()
text_buff = extract_text(html_buff)
class_name = un.tell_buff(text_buff)
if class_name:
class_name_human = un.get_class_name_human(class_name)
else:
class_name_human = None
return class_name_human
def handle(self, path):
r = requests.get(path)
doc = Document(r.text)
content = doc.summary(html_partial=True)
content = self.prettify(doc, content)
if len(content) < 1000:
content = r.text
content = content.encode('utf8')
return content
def get_article(d):
url = d['url']
if table.find_one(url=url):
return
print "fetching stuff for %s" % url
d['html'] = requests.get(url).content
try:
doc = Document(d['html'])
d['summary'] = html.fromstring(doc.summary()).xpath('string()')
d['content'] = html.fromstring(doc.content()).xpath('string()')
d['title'] = doc.title()
except Exception, e:
print e
def parse(filename):
html = open(filename, encoding="latin").read()
doc = Document(html)
summary = doc.summary()
summary = re.sub('(<map.*?</map>)', '', summary, re.M)
summary = re.sub(r"<img.*?usemap=.*?>", '', summary, re.M)
summary = re.sub(r'<a href="index.html"><img.*?/></a>', '', summary, re.M)
if 'href="index.html"' in summary:
raise Exception("FAIIILEEED")
print("<small>" + doc.short_title() + "</small>")
print("<p>" + summary + "<p>")
print("<p class='breakhere'></p>")
def handle(self, url, content):
# Fix of issue27
# content = re.sub('href="(.*?)"', '', content);
doc = Document(content)
try:
hp = HParser(doc.summary())
text = doc.title() + '\n' + hp.tag_list[0].rtext().replace('==+NL+==', '\n')
text = '\n'.join(list(map(lambda l: l.strip(), text.split('\n'))))
text = re.sub('\n{3,}', '\n\n', text).strip()
return text
except:
self.logger.exception('Fail to parse the summary from readability!')
raise
def extract(html):
try:
doc = Document(html)
article = doc.summary()
title = doc.short_title()
return {
'title': title,
'article': html_to_text(article),
'full_text': html_to_text(html)
}
except:
logging.exception('extract html')
return {}
def import_html(results, content):
content = Document(content)
converter = HTML2Text()
converter.body_width = 0
body = content.summary()
text = BeautifulSoup(body).get_text(" ")
results.investigation.update(
name=content.short_title(),
import_md=converter.handle(body),
import_text=text)
def scrape(URL):
"""
Return the text of the article found at URL
Some whitespace changes will usually occur.
"""
html = urllib.request.urlopen(URL).read()
doc = Document(html)
doc.parse(["summary", "short_title"])
readable_article = doc.summary()
soup = BeautifulSoup(readable_article, 'html.parser')
text = soup.get_text()
return text
def read_command(api, args):
from readability.readability import Document
import html2text
h = html2text.HTML2Text()
h.inline_links = False
h.ignore_images = True
h.ignore_emphasis = True
res = requests.get(args.url)
if res.ok:
article = Document(res.content)
print article.short_title()
print h.handle(article.summary())
else:
print res.headers['status']
def parse_html(url):
response = request(url)
if not response:
return response
document = Document(response.content)
doc = {
'titulo': document.short_title(),
'texto': document.summary(),
'site': urlparse(url).netloc,
'url': get_object_or_404(Url, url=url),
'imagem': get_image(response.content, urlparse(url).netloc)
}
return doc
def extractMainArticle(html):
p = Document(html)
readable_article = p.summary()
readable_title = p.short_title()
soup = BeautifulSoup(readable_article)
text_nodes = soup.findAll(text=True)
text = ''.join(text_nodes)
#text = readable_title + " " + text
#return text
wtext = {"title": readable_title, "text": text}
return wtext
def extractMainArticle(html):
p = Document(html)
readable_article = p.summary()
readable_title = p.short_title()
soup = BeautifulSoup(readable_article)
text_nodes = soup.findAll(text=True)
text = ''.join(text_nodes)
#text = readable_title + " " + text
#return text
wtext = {"title":readable_title, "text": text}
return wtext
def make_readable(url):
try:
html = urllib2.urlopen(url).read()
except urllib2.URLError:
return None
document = Document(html)
document_dict = {
'title': document.title(),
'summary': document.summary(),
'content': document.content(),
'short_title': document.short_title()
}
return document_dict
def _parse_article(self, response):
feed_entry = response.meta["feed_entry"]
il = FeedEntryItemLoader(parent=response.meta["il"])
doc = Document(response.text, url=response.url)
il.add_value("title", doc.short_title() or feed_entry.get("title"))
summary = feed_entry.get("summary")
try:
content = doc.summary(html_partial=True)
if summary and len(summary) > len(content):
# Something probably went wrong if the extracted content is shorter than
# the summary.
raise Unparseable
except Unparseable:
content = summary
il.add_value("content_html", content)
return il.load_item()
