def find_full_text(html_source):
doc = Doc(html_source)
content = doc.summary()
stripped = strip_tags(content)
stripped = to_plain_text(stripped)
return stripped
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 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 get_screen_play(self, url):
"""Download webpage and analyze basic sequence
:param url:
:return:
"""
res = requests.get(url)
html = res.content.decode('utf-8')
# Analyze basic sequence
readable_article = Document(html).summary()
self.readable_article = readable_article
readable_title = Document(html).title()
self.readable_title = readable_title
base_url = path.dirname(res.request.url)
result = Extractor(base_url).html_to_asset_list(readable_article)
#print(result)
df_screenplay = pd.DataFrame(result, columns=['type', 'content'])
df_screenplay['local_src'] = df_screenplay['content'].apply(lambda x: self.string2hash(x))
image_selector = (df_screenplay['type'] == 'image')
df_screenplay.loc[image_selector, 'filename'] = df_screenplay.loc[
image_selector, 'content'].apply(lambda x: path.basename(x))
df_screenplay.loc[image_selector, 'extname'] = df_screenplay.loc[
image_selector, 'filename'].apply(lambda x: path.splitext(x)[1])
df_screenplay = df_screenplay.fillna('')
df_screenplay['download_name'] = df_screenplay['local_src'] + df_screenplay['extname']
df_screenplay['converted_name'] = df_screenplay['local_src'] + '.png'
self.df_screenplay = df_screenplay
return df_screenplay
def _update(self, response):
data = Document(response.text).summary()
doc = lxml.html.fromstring(data)
images = []
for img in doc.xpath("//img"):
src = urlparse.urljoin(response.url, img.get("src"))
imgResp = requests.get(src)
encoded = base64.b64encode(imgResp.content)
if len(encoded) < 3000:
src = "data:" + imgResp.headers[
"content-type"] + ";base64," + encoded
else:
md5 = hashlib.sha1()
md5.update(encoded)
name = md5.hexdigest()
src = name + "." + src.rpartition(".")[2]
images.append((src, encoded))
img.set("src", src)
data = StringIO()
data.write(lxml.etree.tostring(doc, pretty_print=True))
for (name, imageData) in images:
data.write("\n--data:" + name + "\n" + imageData)
data.seek(0)
self.article = data.read()
self.last_updated = datetime.now()
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 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 extract(text):
soup = BeautifulSoup(text, 'html.parser') # , from_encoding="utf8")
aaa = soup.find('li', {'id': 'EntryTag'})
print aaa
bbb = soup.find('div', {'id': 'BlogPostCategory'})
tag_str = ''
print bbb
soup1 = soup.find('div', {'id': 'cnblogs_post_body'})
if soup1:
try:
content = str(soup1)
logging.info('find content in html tag')
except:
content = Document(text).summary()
logging.info('conver soup to string error so via readability',
exc_info=True)
else:
content = Document(text).summary()
logging.info('find content via readability')
try:
aaaa = aaa.find_all('a')
tag_list = [i2.get_text for i2 in aaaa]
tag_str = ','.join(tag_list)
aaab = bbb.find_all('a')
tag_list2 = [i2.get_text for i2 in aaab]
tag_str += ','.join(tag_list2)
except Exception, e:
# print Exception, e
logging.error('cant find keyword in html', exc_info=True)
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 getText():
dataList = []
for f in os.listdir('unsupervised\\documents'):
filePath = 'unsupervised\\documents\\' + f
#print filePath
fileName, fileExtension = os.path.splitext(filePath)
#print fileExtension
if fileExtension.lower() == '.docx':
print '' #'its a {0} {1}{2}'.format('word document', fileName, fileExtension)
doc = docxDocument(filePath)
for p in doc.paragraphs:
dataList.append(p.text) #print p.text
#print "-------------------------------"
elif fileExtension.lower() == '.pdf':
print '' #'its a {0} {1}{2}'.format('pdf document', fileName, fileExtension)
#TODO
elif ((fileExtension.lower() == '.html') or (fileExtension.lower() == '.htm')):
print '' #'its a {0} {1}{2}'.format('html file', fileName, fileExtension)
with codecs.open (filePath, errors='ignore') as myfile:
source = myfile.read()
article = Document(source).summary()
title = Document(source).title()
soup = BeautifulSoup(article, 'lxml')
final = replaceTwoOrMore((title.replace('\n', ' ').replace('\r', '') + '.' + soup.text.replace('\n', ' ').replace('\r', '')))
dataList.append(final)
#print '*** TITLE *** \n\"' + title + '\"\n'
#print '*** CONTENT *** \n\"' + soup.text + '[...]\"'
else:
print '' # 'undectected document type'
print '' #"-------------------------------"
return dataList
def contents_scraping(link, remove_space=True, remove_lb=True):
"""Scraping contents.
Parameter
---------
url : str
Scraping target url.
Return
------
list :
title and contents.
"""
try:
html = urllib.request.urlopen(link).read()
except:
print("ERROR : failed to get contents. -> " + link)
return (False, "")
title = Document(html).short_title()
contents = Document(html).summary()
contents = html2text.html2text(contents)
p = re.compile(r"<[^>]*?>")
c = p.sub("", contents)
if remove_space is True:
c = c.replace(" ", "")
if remove_lb is True:
c = c.replace("\r", "")
c = c.replace("\n", "")
return title, c
def recommend_by_url(url):
parsed = urlparse(url)
doc = Document(requests.get(url).content)
content = html.fromstring(doc.content()).xpath('string()')
bigrams = make_bigrams(content)
vec_bow = dictionary.doc2bow(bigrams)
vec_lsi = lsi[vec_bow]
sims = index[vec_lsi]
#print sims
docs = sorted(list(enumerate(sims)), key=lambda item: -item[1])
results, seen = [], []
for doc, score in docs:
res = ARTICLES[doc]
if not 'url' in res or res['url'] in seen:
continue
seen.append(res['url'])
p = urlparse(res['url'])
if p.hostname.endswith(parsed.hostname):
continue
res['score'] = float(score)
if 'content' in res:
del res['content']
if 'html' in res:
del res['html']
if res['summary']:
res['summary'] = res['summary'].strip()
results.append(res)
if len(results) > 14:
break
return results
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 get_announcement_body(url):
now = datetime.datetime.now()
resp = ["","","","","",""]
images = []
html = br.open(url).read()
readable_announcement = Document(html).summary()
readable_title = Document(html).title()
soup = BeautifulSoup(readable_announcement, "lxml")
final_announcement = soup.text
links = soup.findAll('img', src=True)
for lin in links:
li = urlparse.urljoin(url,lin['src'])
images.append( li)
resp[0] = str(final_announcement.encode("ascii","ignore"))
resp[1] = str(readable_title.encode("ascii","ignore"))
resp[2] = str(now.month)+" "+str(now.day)+" "+str(now.year)+"-"+str(now.hour)+":"+str(now.minute)+":"+str(now.second)
resp[3] = url
resp[4] = url
resp[5] = ""
#insertDB(resp)
#print "inserted resp"
title_article = []
title_article.append(final_announcement)
title_article.append(readable_title)
title_article.append(images)
return title_article
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 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_webpage_by_html(url, html=None):
html = get_html_str(url, html)
summary_obj = predefined_site(url, html)
article = video_site(url)
if summary_obj is None:
doc = Document(html, url=url, debug=True, multipage=False)
summary_obj = doc.summary_with_metadata(enclose_with_html_tag=False)
title = summary_obj.short_title
if article is None:
article = summary_obj.html
from urllib.parse import urlparse
webpage = Webpage()
webpage.url = url
webpage.domain = urlparse(url).hostname
webpage.title = title
webpage.favicon = ""
webpage.top_image = None
webpage.excerpt = summary_obj.description
webpage.author = None
webpage.content = article
webpage.tags = get_suggest_tags(title, article, summary_obj.keywords)
webpage.movies = []
webpage.raw_html = html
webpage.publish_date = None
webpage.segmentation = get_segmentation(title, article)
return webpage.__dict__
def crawl(site, depth, linksfile):
pattern = re.compile(r'href="(http://.*?)"')
f = open(linksfile, 'a+')
try:
if depth < MAX_DEPTH:
print 'crawling [%s]...' % site,
print >> f, '[%s]' % site
br = mechanize.Browser()
br.set_handle_robots(False)
br.addheaders = [('User-agent', 'Firefox')]
url = br.open(site)
content = url.read()
hits = pattern.findall(content)
for hit in hits:
print >> f, hit
url2 = br.open(hit)
content2 = url.read()
readable_article = Document(content2).summary()
readable_title = Document(content).short_title()
soup = BeautifulSoup(readable_article)
final_article = soup.text
links = soup.findAll('img', src=True)
print final_article
print 'done.'
print >> f, ''
for hit in hits:
crawl(hit, depth + 1, linksfile)
except:
pass
f.close()
def loadFromWeb(cls,url):
html = requests.get(url).content
readable_article = Document(html).summary()
readable_title = Document(html).short_title()
cleantext = BeautifulSoup(readable_article).text
cleantext = HTMLParser.HTMLParser().unescape(cleantext)
return cleantext
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 getTextFromHTML(self, url_id):
""" Runs Readability (Document) on the HTML text
"""
html_row = get_html(self.pg_conn, url_id)
if not html_row or 'html' not in html_row:
return False
if html_row['readabletext'] and html_row['readabletext'] != '':
return html_row['readabletext']
html = html_row['html']
try:
html_summary = Document(html).summary(html_partial=True)
html_summary = html_summary.replace('\n','').replace('\t','')
if len(html_summary) < 150 or "Something's wrong here..." in html_summary or "<h1>Not Found</h1><p>The requested URL" in html_summary or html_summary == "<html><head/></html>" or "403 Forbidden" in html_summary:
return False
raw_text = lxml.html.document_fromstring(html_summary).text_content()
except:
raw_text = False
if raw_text:
save_readabletext(self.pg_conn, url_id, raw_text, 'meta')
else:
save_readabletext(self.pg_conn, url_id, '', 'meta')
return raw_text
def get_webpage_by_html(url, html=None):
html = get_html_str(url, html)
summary_obj = predefined_site(url, html)
article = video_site(url)
if summary_obj is None:
doc = Document(html, url=url, debug=True, multipage=False)
summary_obj = doc.summary_with_metadata(enclose_with_html_tag=False)
title = summary_obj.short_title
if article is None:
article = summary_obj.html
from urllib.parse import urlparse
webpage = Webpage()
webpage.url = url
webpage.domain = urlparse(url).hostname
webpage.title = title
webpage.favicon = ""
webpage.top_image = None
webpage.excerpt = summary_obj.description
webpage.author = None
webpage.content = article
webpage.tags = get_suggest_tags(title, article, summary_obj.keywords)
webpage.movies = []
webpage.raw_html = html
webpage.publish_date = None
webpage.segmentation = get_segmentation(title, article)
return webpage.__dict__
def getTextFromHTML(self, url_id):
""" Runs Readability (Document) on the HTML text
"""
html_row = get_html(self.pg_conn, url_id)
if not html_row or 'html' not in html_row:
return False
if html_row['readabletext'] and html_row['readabletext'] != '':
return html_row['readabletext']
html = html_row['html']
try:
html_summary = Document(html).summary(html_partial=True)
html_summary = html_summary.replace('\n', '').replace('\t', '')
if len(
html_summary
) < 150 or "Something's wrong here..." in html_summary or "<h1>Not Found</h1><p>The requested URL" in html_summary or html_summary == "<html><head/></html>" or "403 Forbidden" in html_summary:
return False
raw_text = lxml.html.document_fromstring(
html_summary).text_content()
except:
raw_text = False
if raw_text:
save_readabletext(self.pg_conn, url_id, raw_text, 'meta')
else:
save_readabletext(self.pg_conn, url_id, '', 'meta')
return raw_text
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 getTitleAndContent(self, contentUrl):
myHeader = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:55.0) Gecko/20100101 Firefox/55.0',
}
try:
r = self.http.request('GET', contentUrl, headers=myHeader)
# print(r.status) # 200
# 获得html源码,utf-8解码
# print(r.data.decode())
html = r.data
readable_tilte = Document(html).short_title()
readable_article = Document(html).summary()
content = self.ht.handle(readable_article)
# content = re.sub(r'阅读剩余全文（）|该菜谱创建于[\s\S]+任何部分的内容。|(更多相关资讯请关注：|用手机访问|1[\s\d]+\s下一页|\*\s|精美图片)[\s\S]+|(新闻热线：[\s\S]+)#', '', content)
response = etree.HTML(html)
# content = response.xpath("string(//div[@class='text-3zQ3cZD4'])")
# content = re.sub(
# r'图集|(\+1\s|【纠错】)[\s\S]+', '',
# content).strip()
# script = response.xpath("//script")[5].text
# response = re.findall('contentList":([\s\S]+),"currentPage', script)[0]
# datas = json.loads(response)[0]
# strData = datas['data']
# pat = re.compile('<[^>]+>', re.S)
# content = pat.sub('', strData)
# content = ''.join(content).replace(u'\u3000', '').replace(u'\xa0','').strip()
data = dict()
data["title"] = readable_tilte
data["content"] = content
return self.return_data(0, "success", data)
except Exception as e:
return self.return_data(1, e)
def getContent(url):
print '@@ start crawl %s @@@' % url
html = getHTml(url)
'''readability介入分析'''
readable_article = Document(html).summary()
readable_title = Document(html).short_title()
a = re.sub(r'<script[\s\S]*?</script>| ', '', readable_article).strip()
b = re.sub(r'<(?!p|img|/p|br|iframe)[^<>]*?>', '', a).strip()
c = re.sub(r'<p[^>]*?>', '<p>', b).strip().replace('\n', '')
d = re.sub(r'<p>\s+<p>', '', c)
# 统计中文字数
num = number(b)
if num > 100:
#sql = '''INSERT INTO newbaidu_detail_contont VALUES ('%s','%s','%s','%s')''' % (url,readable_title,d,current_date)
getc = url + '\n' + readable_title + '\n' + d + '\n' + current_date + '\n'
try:
with open('news/' + readable_title + '.txt', 'w') as f2:
f2.write(getc)
print '执行成功'
except Exception, e:
print '执行失败,%s' % e
return '成功'
def main():
#print 'Hello there'
# Command line args are in sys.argv[1], sys.argv[2] ...
# sys.argv[0] is the script name itself and can be ignored
dataList = []
for f in os.listdir('documents'):
filePath = 'documents\\' + f
#print filePath
fileName, fileExtension = os.path.splitext(filePath)
#print fileExtension
if fileExtension.lower() == '.docx':
print '' #'its a {0} {1}{2}'.format('word document', fileName, fileExtension)
doc = docxDocument(filePath)
for p in doc.paragraphs:
dataList.append(p.text) #print p.text
#print "-------------------------------"
elif fileExtension.lower() == '.pdf':
print '' #'its a {0} {1}{2}'.format('pdf document', fileName, fileExtension)
# with open(filePath) as f:
# doc = slate.PDF(f)
# print doc[1]
# exit()
#TODO
elif ((fileExtension.lower() == '.html') or (fileExtension.lower() == '.htm')):
print '' #'its a {0} {1}{2}'.format('html file', fileName, fileExtension)
with codecs.open (filePath, errors='ignore') as myfile:
source = myfile.read()
article = Document(source).summary()
title = Document(source).title()
soup = BeautifulSoup(article, 'lxml')
final = replaceTwoOrMore((title.replace('\n', ' ').replace('\r', '') + '.' + soup.text.replace('\n', ' ').replace('\r', '')))
dataList.append(final)
#print '*** TITLE *** \n\"' + title + '\"\n'
#print '*** CONTENT *** \n\"' + soup.text + '[...]\"'
else:
print '' # 'undectected document type'
print '' #"-------------------------------"
#print dataList
#for i in dataList:
# print i
cachedStopWords = stopwords.words("english")
combined = ' '.join(dataList)
#print combined
bloblist = [tb(combined)]
for i, blob in enumerate(bloblist):
print("Top words in document {}".format(i + 1))
scores = {word: tfidf(word, blob, bloblist) for word in blob.words if word not in nltk.corpus.stopwords.words('english')}
#print scores
sorted_words = sorted(scores.items(), key=lambda x: x[1], reverse=True)
#print sorted_words
for word, score in sorted_words:
print("\tWord: {}, TF-IDF: {}".format(word, round(score, 5)))
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 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 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 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 parse(self, response):
doc = Document(response.text)
yield {
'full_title': doc.title(),
# 'date': response.selector.xpath('//time/@datetime').getall()
# 'date': response.xpath('//span[@class="post-date"]/text()').get()
'date': '2009'
}
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 get_main_content(html):
readable_title = Document(html).short_title()
readable_article = Document(html).summary()
text_p = re.sub(r'</?div.*?>', '', readable_article)
text_p = re.sub(r'((</p>)?<a href=.*?>|</a>(<p>)?)', '', text_p)
text_p = re.sub(r'<select>.*?</select>', '', text_p)
return readable_title, text_p
def checkerFunction(myInput):
today = datetime.date.today()
try:
google1 = 'http://www.google.com/search?hl=en&q='
google2 = '%20privacy%20policy&btnI=1'
keyword = myInput
url = google1 + keyword + google2
r = requests.get(url, allow_redirects=False)
url = r.headers['location']
except Exception as e:
return
myFullPath = "./sandbox/db/" + keyword
if not os.path.exists("./sandbox"):
os.makedirs("./sandbox")
if not os.path.exists("./sandbox/db/"):
os.makedirs("./sandbox/db/")
if not os.path.exists(myFullPath):
os.makedirs(myFullPath)
filename = keyword + "." + str(today)
filetowrite = myFullPath + "/" + filename
fileExist = os.path.isfile(filetowrite)
if (url == None):
return
html = urllib.urlopen(url).read()
readable_article = Document(html).summary()
tempFileMade = False
originalFileMade = False
if(fileExist):
filetowrite = filetowrite + ".tmp."
f = open(filetowrite, 'w')
writeThis = str(readable_article.encode('ascii', 'ignore'))
f.write(writeThis)
f.close
tempFileMade = True
else:
f = open(filetowrite, 'w')
writeThis = str(readable_article.encode('ascii', 'ignore'))
f.write(writeThis)
f.close
originalFileMade = True
hashedmd5 = hashlib.md5(readable_article.encode('ascii', 'ignore'))
hashedArticle = hashedmd5.hexdigest()
return hashedArticle
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 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 getReadability(url):
#url = 'http://cnn.com/2016/07/17/health/south-africa-meerkat-telescope-galaxies/index.html'
try:
html = urllib.urlopen(url).read()
readable_article = Document(html).summary().replace('\n', '')
readable_title = Document(html).short_title()
return readable_title, readable_article
except Exception, e:
return '', ''
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 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 get_article (url, referrer=None):
"""Fetch the html found at url and use the readability algorithm
to return just the text content"""
html = load_url(url, referrer)
if html is not None:
doc_html = Document(html).summary(html_partial=True)
clean_html = doc_html.replace('&', u'&').replace(u' ', u'\n')
return BeautifulSoup(clean_html).getText(separator=u' ').replace(u' ', u' ')
def scrape(url,
pdf_filename,
pdf_page_size=PDF_PAGE_SIZE,
folder=OUTPUT_FOLDER,
clean_it=True,
css_file=EPUB_CSS,
lang=EPUB_LANG,
cover_image=EPUB_COVER,
isbn=None):
"""Fetch the html content at url and convert it to a pdf file,
cleaned by readability and framed in an easy-to-read format if
clean_it is True"""
raw_html = get_url(url)
if raw_html is None:
print "Sorry, could not read ", url
else:
filename_prefix, file_ext = os.path.splitext(pdf_filename)
if clean_it:
# use readability to get rid of crap
title = Document(raw_html).short_title()
content = Document(raw_html).summary(html_partial=True)
# write the cleaned contents to an html frame for pdf conversion
frame = HTML_FRAME.substitute(content=to_unicode(content),
url=url,
title=title)
# unlike pdf, epub is controlled by css, so save the cleaned html alone
epub_source = write_file(
folder, os.extsep.join([filename_prefix + '_epub', 'html']),
to_unicode(content))
pdf_source = write_file(folder,
os.extsep.join([filename_prefix, 'html']),
frame)
else:
title = filename_prefix
# no readability cleaning requested, so use the fetched html as-is
epub_source = write_file(
folder, os.extsep.join([filename_prefix + '_epub', 'html']),
to_unicode(raw_html))
pdf_source = write_file(folder,
os.extsep.join([filename_prefix, 'html']),
to_unicode(raw_html))
if epub_source:
generate_epub(
folder, filename_prefix, title,
os.path.join(
folder, os.extsep.join([filename_prefix + '_epub',
'html'])), css_file, cover_image,
lang, isbn)
if pdf_source:
generate_pdf(folder, filename_prefix, pdf_page_size)
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 fetch_url(url):
'''
get url with readability
'''
html = basic_fetch_url(url)
readable_article = Document(html).summary()
title = Document(html).short_title()
text = BeautifulSoup(readable_article).get_text()
return title, text
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_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 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 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 main():
html = open('./samples/21853124_0.shtml').read()
doc = Document(html)
doc.transform()
doc.get_publish_date()
doc.short_title()
doc.text_content()
def _update(self, response):
app.logger.debug("Updating %s" % response.url)
data = Document(response.text).summary()
doc = lxml.html.fromstring(data)
images = []
imageElems = doc.xpath("//img")
app.logger.debug("%d images for %s",len(imageElems), response.url)
for img in imageElems:
src = urlparse.urljoin(response.url, img.get("src"))
imgResp = requests.get(src)
encoded = base64.b64encode(imgResp.content)
if len(encoded) < 3000:
src = "data:" + imgResp.headers["content-type"] + ";base64," + encoded
else:
md5 = hashlib.sha1()
md5.update(encoded)
name = md5.hexdigest()
src = name +"." + src.rpartition(".")[2]
images.append((src, encoded))
img.set("src", src)
data = StringIO()
data.write(lxml.etree.tostring(doc, pretty_print=True))
for (name, imageData) in images:
data.write("\n--data:"+name+"\n"+imageData)
data.seek(0)
self.article = data.read()
self.save()
def get_main_text(html):
main_text = Document(html).summary()
main_text = BeautifulSoup(main_text).getText()
# 处理空行
r = re.compile(r'\n+', re.M | re.S)
main_text = r.sub('\n', main_text)
# 去除首行回车
if main_text.find('\n') == 0:
main_text = main_text.replace('\n', '', 1)
return main_text
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 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