netloc = urlparse.urlsplit(url)[1] print netloc r.set(netloc,encoding) print r.get(netloc) ''' #url='http://tech.sina.com.cn/internet/' #url='http://tech.sina.com.cn/i/2014-01-08/08039077686.shtml' #url='http://blog.knownsec.com/2012/04/about-content-encoding-gzip/' url = 'http://book.douban.com/review/6549990/' zzh = URLOpener() re = zzh.open(url) #print re.info() #print re.content.decode('GBK').encode('utf-8') #print re.content fout = open('zhang_test', 'wb') fout.write(re.content) fout.close() ''' encoding = chardet.detect(re.content)['encoding'] print encoding print re.headers print isinstance(re.content,unicode) print re.content.decode(encoding,'ignore').encode('utf-8') ''' doc = readability.Document(re.content) summary = doc.summary(html_partial=True) soup = BeautifulSoup(re.content, 'lxml') print soup.body.contents[0]
def readability(self, article, url, opts=None, user=None): """ 使用readability-lxml处理全文信息 """ #因为图片文件占内存,为了节省内存,这个函数也做为生成器 content = self.preprocess(article) # 提取正文 try: doc = readability.Document(content) summary = doc.summary(html_partial=False) except: self.log.warn('article is invalid.[%s]' % url) return title = doc.short_title() title = self.processtitle(title) #if summary.startswith('<body'): #readability解析出错 # html = content #else: #html = self.FragToXhtml(summary, title, addtitleinbody=True) #因为现在只剩文章内容了,使用BeautifulSoup也不会有什么性能问题 soup = BeautifulSoup(summary, "lxml") h = soup.find('head') if not h: h = soup.new_tag('head') t = soup.new_tag('title') t.string = title h.append(t) soup.html.insert(0, h) #如果没有内容标题则添加 t = soup.html.body.find(['h1', 'h2']) if not t: t = soup.new_tag('h1') t.string = title soup.html.body.insert(0, t) else: totallen = 0 for ps in t.previous_siblings: totallen += len(string_of_tag(ps)) if totallen > 40: #此H1/H2在文章中间出现,不是文章标题 t = soup.new_tag('h1') t.string = title soup.html.body.insert(0, t) break self.soupbeforeimage(soup) if self.remove_tags: for tag in soup.find_all(self.remove_tags): tag.decompose() for id in self.remove_ids: for tag in soup.find_all(attrs={"id": id}): tag.decompose() for cls in self.remove_classes: for tag in soup.find_all(attrs={"class": cls}): tag.decompose() for attr in self.remove_attrs: for tag in soup.find_all(attrs={attr: True}): del tag[attr] for cmt in soup.find_all(text=lambda text: isinstance(text, Comment)): cmt.extract() if self.extra_css: sty = soup.new_tag('style', type="text/css") sty.string = self.extra_css soup.html.head.append(sty) if self.keep_image: opener = URLOpener(self.host, timeout=self.timeout) for img in soup.find_all('img', attrs={'src': True}): imgurl = img['src'] if not imgurl.startswith('http'): imgurl = self.urljoin(url, imgurl) if self.fetch_img_via_ssl and url.startswith('https://'): imgurl = imgurl.replace('http://', 'https://') if self.isfiltered(imgurl): self.log.warn('img filtered : %s' % imgurl) img.decompose() continue imgresult = opener.open(imgurl) imgcontent = self.process_image( imgresult.content, opts) if imgresult.status_code == 200 else None if imgcontent: imgtype = imghdr.what(None, imgcontent) if imgtype: imgmime = r"image/" + imgtype fnimg = "img%d.%s" % (self.imgindex, 'jpg' if imgtype == 'jpeg' else imgtype) img['src'] = fnimg yield (imgmime, imgurl, fnimg, imgcontent, None) else: img.decompose() else: self.log.warn('fetch img failed(err:%d):%s' % (imgresult.status_code, imgurl)) img.decompose() #去掉图像上面的链接 for img in soup.find_all('img'): if img.parent and img.parent.parent and \ img.parent.name == 'a': img.parent.replace_with(img) else: for img in soup.find_all('img'): img.decompose() self.soupprocessex(soup) #插入分享链接 if user: if user.evernote and user.evernote_mail: span = soup.new_tag('span') span.string = ' ' soup.html.body.append(span) href = "%s/share?act=evernote&u=%s&url=%s" % (DOMAIN, user.name, url) if user.share_fuckgfw: href = SHARE_FUCK_GFW_SRV % urllib.quote(href) ashare = soup.new_tag('a', href=href) ashare.string = SAVE_TO_EVERNOTE soup.html.body.append(ashare) if user.wiz and user.wiz_mail: span = soup.new_tag('span') span.string = ' ' soup.html.body.append(span) href = "%s/share?act=wiz&u=%s&url=%s" % (DOMAIN, user.name, url) if user.share_fuckgfw: href = SHARE_FUCK_GFW_SRV % urllib.quote(href) ashare = soup.new_tag('a', href=href) ashare.string = SAVE_TO_WIZ soup.html.body.append(ashare) content = unicode(soup) #提取文章内容的前面一部分做为摘要 brief = u'' if GENERATE_TOC_DESC: body = soup.find('body') for h in body.find_all(['h1', 'h2']): # 去掉h1/h2,避免和标题重复 h.decompose() for s in body.stripped_strings: brief += unicode(s) + u' ' if len(brief) >= TOC_DESC_WORD_LIMIT: brief = brief[:TOC_DESC_WORD_LIMIT] break soup = None yield (title, None, None, content, brief)
def readability(self, article, url, opts=None, user=None): """ 使用readability-lxml处理全文信息 因为图片文件占内存,为了节省内存,这个函数也做为生成器 """ content = self.preprocess(article) if not content: return # 提取正文 try: doc = readability.Document(content,positive_keywords=self.positive_classes) summary = doc.summary(html_partial=False) except: # 如果提取正文出错,可能是图片(一个图片做为一篇文章,没有使用html包装) imgtype = imghdr.what(None, content) if imgtype: #如果是图片,则使用一个简单的html做为容器 imgmime = r"image/" + imgtype fnimg = "img%d.%s" % (self.imgindex, 'jpg' if imgtype=='jpeg' else imgtype) yield (imgmime, url, fnimg, content, None, None) tmphtml = '<html><head><title>Picture</title></head><body><img src="%s" /></body></html>' % fnimg yield ('Picture', None, None, tmphtml, '', None) else: self.log.warn('article is invalid.[%s]' % url) return title = doc.short_title() if not title: self.log.warn('article has no title.[%s]' % url) return title = self.processtitle(title) soup = BeautifulSoup(summary, "lxml") #如果readability解析失败,则启用备用算法(不够好,但有全天候适应能力) body = soup.find('body') head = soup.find('head') if len(body.contents) == 0: from simpleextract import simple_extract summary = simple_extract(content) soup = BeautifulSoup(summary, "lxml") body = soup.find('body') if not body: self.log.warn('extract article content failed.[%s]' % url) return head = soup.find('head') #增加备用算法提示,提取效果不好不要找我,类似免责声明:) info = soup.new_tag('p', style='color:#555555;font-size:60%;text-align:right;') info.string = 'extracted by alternative algorithm.' body.append(info) self.log.info('use alternative algorithm to extract content.') if not head: head = soup.new_tag('head') soup.html.insert(0, head) if not head.find('title'): t = soup.new_tag('title') t.string = title head.append(t) #如果没有内容标题则添加 t = body.find(['h1','h2']) if not t: t = soup.new_tag('h2') t.string = title body.insert(0, t) else: totallen = 0 for ps in t.previous_siblings: totallen += len(string_of_tag(ps)) if totallen > 40: #此H1/H2在文章中间出现,不是文章标题 t = soup.new_tag('h2') t.string = title body.insert(0, t) break if self.remove_tags: for tag in soup.find_all(self.remove_tags): tag.decompose() for id in self.remove_ids: for tag in soup.find_all(attrs={"id":id}): tag.decompose() for cls in self.remove_classes: for tag in soup.find_all(attrs={"class":cls}): tag.decompose() for attr in self.remove_attrs: for tag in soup.find_all(attrs={attr:True}): del tag[attr] for cmt in soup.find_all(text=lambda text:isinstance(text, Comment)): cmt.extract() #删除body的所有属性,以便InsertToc使用正则表达式匹配<body> bodyattrs = [attr for attr in body.attrs] for attr in bodyattrs: del body[attr] if self.extra_css: sty = soup.new_tag('style', type="text/css") sty.string = self.extra_css soup.html.head.append(sty) self.soupbeforeimage(soup) has_imgs = False thumbnail = None if self.keep_image: opener = URLOpener(self.host, timeout=self.timeout) for img in soup.find_all('img'): #现在使用延迟加载图片技术的网站越来越多了,这里处理一下 #注意:如果data-src之类的属性保存的不是真实url就没辙了 imgurl = img['src'] if 'src' in img.attrs else '' if not imgurl: for attr in img.attrs: if attr != 'src' and 'src' in attr: #很多网站使用data-src imgurl = img[attr] break if not imgurl: img.decompose() continue if not imgurl.startswith('data:'): if not imgurl.startswith('http'): imgurl = self.urljoin(url, imgurl) if self.fetch_img_via_ssl and url.startswith('https://'): imgurl = imgurl.replace('http://', 'https://') if self.isfiltered(imgurl): self.log.warn('img filtered : %s' % imgurl) img.decompose() continue imgresult = opener.open(imgurl) imgcontent = self.process_image(imgresult.content,opts) if imgresult.status_code==200 else None if imgcontent: if len(imgcontent) < self.img_min_size: #rexdf too small image img.decompose() continue imgtype = imghdr.what(None, imgcontent) if imgtype: imgmime = r"image/" + imgtype fnimg = "img%d.%s" % (self.imgindex, 'jpg' if imgtype=='jpeg' else imgtype) img['src'] = fnimg #使用第一个图片做为目录缩略图 if not has_imgs: has_imgs = True thumbnail = imgurl yield (imgmime, imgurl, fnimg, imgcontent, None, True) else: yield (imgmime, imgurl, fnimg, imgcontent, None, None) else: img.decompose() else: self.log.warn('fetch img failed(err:%d):%s' % (imgresult.status_code,imgurl)) img.decompose() #去掉图像上面的链接,以免误触后打开浏览器 for img in soup.find_all('img'): if img.parent and img.parent.parent and \ img.parent.name == 'a': img.parent.replace_with(img) else: for img in soup.find_all('img'): img.decompose() #将HTML5标签转换为div for x in soup.find_all(['article', 'aside', 'header', 'footer', 'nav', 'figcaption', 'figure', 'section', 'time']): x.name = 'div' self.soupprocessex(soup) #插入分享链接 if user: self.AppendShareLinksToArticle(soup, user, url) content = unicode(soup) #提取文章内容的前面一部分做为摘要 brief = u'' if GENERATE_TOC_DESC: for h in body.find_all(['h1','h2']): # 去掉h1/h2,避免和标题重复 h.decompose() for s in body.stripped_strings: brief += unicode(s) + u' ' if len(brief) >= TOC_DESC_WORD_LIMIT: brief = brief[:TOC_DESC_WORD_LIMIT] break soup = None yield (title, None, None, content, brief, thumbnail)
def readability(self, article, url, opts=None): """ 使用readability-lxml处理全文信息 """ content = self.preprocess(article) # print '--------------' # print content # print '---------------' # 提取正文 try: doc = readability.Document(content) summary = doc.summary(html_partial=True) except: self.log.warn('article is invalid.[%s]' % url) return title = doc.short_title() title = self.processtitle(title) # print '==================' # print summary # print '===================' soup = BeautifulSoup(summary, 'lxml') # soup = BeautifulSoup(content,'lxml') ''' #没有head h = soup.find('head') if not h: h = soup.new_tag('head') t = soup.new_tag('title') t.string = title h.append(t) soup.html.insert(0,h) #没有h t = soup.html.body.find(['h1','h2']) if not t: t = soup.new_tag('h1') t.string = title soup.html.body.insert(0,t) else: totallen = 0 for ps in t.previous_siblings: totallen += len(string_of_tag(ps)) if totallen > 40: t = soup.new_tag('h1') t.string = title soup.html.body.insert(0,t) break ''' self.soupbeforeimage(soup) if self.remove_tags: for tag in soup.find_all(self.remove_tags): tag.decompose() for id in self.remove_ids: for tag in soup.find_all(attrs={"id": id}): tag.decompose() for cls in self.remove_classes: for tag in soup.find_all(attrs={"class": cls}): tag.decompose() for attr in self.remove_attrs: for tag in soup.find_all(attrs={attr: True}): del tag[attr] for cmt in soup.find_all(text=lambda text: isinstance(text, Comment)): cmt.extract() if self.extra_css: sty = soup.new_tag('style', type="text/css") sty.string = self.extra_css soup.html.head.append(sty) if self.keep_image: opener = URLOpener(self.host, timeout=self.timeout) for img in soup.find_all('img', attrs={'src': True}): imgurl = img['src'] if img.get('height') in ('1','2','3','4','5') \ or img.get('width') in ('1','2','3','4','5'): self.log.warn('img size too small,take it away : %s' % imgurl) img.decompose() continue if not imgurl.startswith('http'): imgurl = self.urljoin(url, imgurl) if self.fetch_img_via_ssl and url.startswith('https://'): imgurl = imgurl.replace('http://', 'https://') if self.isfiltered(imgurl): self.log.warn('img filtered : %s' % imgurl) img.decompose() continue imgresult = opener.open(imgurl) imgcontent = self.process_image( imgresult.content, opts) if imgresult.code == 200 else None if imgcontent: imgtype = imghdr.what(None, imgcontent) if imgtype: imgmime = r"image/" + imgtype fnimg = "img%d.%s" % (self.imgindex, 'jpg' if imgtype == 'jpeg' else imgtype) img['src'] = fnimg yield (imgmime, imgurl, fnimg, imgcontent, None) else: img.decompose() else: self.log.warn('fetch img failed(err:%d):%s' % (imgresult.code, imgurl)) img.decompose() #去掉图像上面的链接 for img in soup.find_all('img'): if img.parent and img.parent.parent and \ img.parent.name == 'a': img.parent.replace_with(img) else: for img in soup.find_all('img'): img.decompose() self.soupprocessex(soup) # print '====-=-=-=-=-=-=-=' # print soup # print '-=-=-=-=-=-=-=-=-=-=-' cc = soup.body.contents[0] # cc.name = "articleblock" # print cc # print soup.body.renderContents() #content = unicode(soup) content = unicode(cc) #print soup.find('body').contents #print soup.body.contents #提取文章内容的前面一部分做为摘要 brief = u'' if GENERATE_TOC_DESC: body = soup.find('body') for h in body.find_all(['h1', 'h2']): # 去掉h1/h2,避免和标题重复 h.decompose() for s in body.stripped_strings: brief += unicode(s) + u' ' if len(brief) >= TOC_DESC_WORD_LIMIT: brief = brief[:TOC_DESC_WORD_LIMIT] break soup = None yield (title, None, None, content, brief)
def readability(self, article, url, opts=None): #使用readability-lxml处理全文信息 #因为图片文件占内存,为了节省内存,这个函数也做为生成器 content = self.preprocess(article) # 提取正文 doc = readability.Document(content) summary = doc.summary(html_partial=True) title = doc.short_title() title = self.processtitle(title) #if summary.startswith('<body'): #readability解析出错 # html = content #else: html = self.FragToXhtml(summary, title, addtitleinbody=True) #因为现在只剩文章内容了,使用BeautifulSoup也不会有什么性能问题 soup = BeautifulSoup(html, "lxml") self.soupbeforeimage(soup) for attr in ['id', 'class']: for tag in soup.find_all(attrs={attr: True}): del tag[attr] for cmt in soup.find_all(text=lambda text: isinstance(text, Comment)): cmt.extract() if self.keep_image: opener = URLOpener(self.host, timeout=self.timeout) for img in soup.find_all('img', attrs={'src': True}): imgurl = img['src'] if img.get('height') in ('1','2','3','4','5') \ or img.get('width') in ('1','2','3','4','5'): self.log.warn('img size too small,take away it:%s' % imgurl) img.decompose() continue if not imgurl.startswith('http'): imgurl = urlparse.urljoin(url, imgurl) if self.fetch_img_via_ssl and url.startswith('https://'): imgurl = imgurl.replace('http://', 'https://') if self.isfiltered(imgurl): self.log.warn('img filtered:%s' % imgurl) img.decompose() continue imgresult = opener.open(imgurl) imgcontent = self.process_image( imgresult.content, opts) if imgresult.status_code == 200 else None if imgcontent: imgtype = imghdr.what(None, imgcontent) if imgtype: imgmime = r"image/" + imgtype fnimg = "%d.%s" % (random.randint( 10000, 99999999), 'jpg' if imgtype == 'jpeg' else imgtype) img['src'] = fnimg yield (imgmime, imgurl, fnimg, imgcontent, None) else: img.decompose() else: self.log.warn('fetch img failed(err:%d):%s' % (imgresult.status_code, imgurl)) img.decompose() else: for img in soup.find_all('img'): img.decompose() self.soupprocessex(soup) content = unicode(soup) #提取文章内容的前面一部分做为摘要 brief = u'' if GENERATE_TOC_DESC: body = soup.find('body') for h1 in body.find_all('h1'): # 去掉H1,避免和标题重复 h1.decompose() for s in body.stripped_strings: brief += unicode(s) + u' ' if len(brief) >= TOC_DESC_WORD_LIMIT: brief = brief[:TOC_DESC_WORD_LIMIT] break soup = None yield (title, None, None, content, brief)
def readability(self, article, url, opts=None): #使用readability-lxml处理全文信息 #因为图片文件占内存,为了节省内存,这个函数也做为生成器 content = self.preprocess(article) # 提取正文 doc = readability.Document(content) summary = doc.summary(html_partial=False) title = doc.short_title() title = self.processtitle(title) #if summary.startswith('<body'): #readability解析出错 # html = content #else: #html = self.FragToXhtml(summary, title, addtitleinbody=True) #因为现在只剩文章内容了,使用BeautifulSoup也不会有什么性能问题 soup = BeautifulSoup(summary, "lxml") h = soup.find('head') if not h: h = soup.new_tag('head') t = soup.new_tag('title') t.string = title h.append(t) soup.html.insert(0, h) #如果没有内容标题则添加 t = soup.html.body.find(['h1', 'h2']) if not t: t = soup.new_tag('h1') t.string = title soup.html.body.insert(0, t) else: totallen = 0 for ps in t.previous_siblings: totallen += len(string_of_tag(ps)) if totallen > 40: #此H1/H2在文章中间出现,不是文章标题 t = soup.new_tag('h1') t.string = title soup.html.body.insert(0, t) break if self.extra_css: sty = soup.new_tag('style', type="text/css") sty.string = self.extra_css soup.html.head.append(sty) self.soupbeforeimage(soup) if self.remove_tags: for tag in soup.find_all(self.remove_tags): tag.decompose() for id in self.remove_ids: for tag in soup.find_all(attrs={"id": id}): tag.decompose() for cls in self.remove_classes: for tag in soup.find_all(attrs={"class": cls}): tag.decompose() for attr in self.remove_attrs: for tag in soup.find_all(attrs={attr: True}): del tag[attr] if self.keep_image: opener = URLOpener(self.host, timeout=self.timeout) for img in soup.find_all('img', attrs={'src': True}): imgurl = img['src'] if img.get('height') in ('1','2','3','4','5') \ or img.get('width') in ('1','2','3','4','5'): self.log.warn('img size too small,take away it:%s' % imgurl) img.decompose() continue if not imgurl.startswith('http'): imgurl = urlparse.urljoin(url, imgurl) if self.fetch_img_via_ssl and url.startswith('https://'): imgurl = imgurl.replace('http://', 'https://') if self.isfiltered(imgurl): self.log.warn('img filtered:%s' % imgurl) img.decompose() continue imgresult = opener.open(imgurl) imgcontent = self.process_image( imgresult.content, opts) if imgresult.status_code == 200 else None if imgcontent: imgtype = imghdr.what(None, imgcontent) if imgtype: imgmime = r"image/" + imgtype fnimg = "%d.%s" % (random.randint( 10000, 99999999), 'jpg' if imgtype == 'jpeg' else imgtype) img['src'] = fnimg yield (imgmime, imgurl, fnimg, imgcontent, None) else: img.decompose() else: self.log.warn('fetch img failed(err:%d):%s' % (imgresult.status_code, imgurl)) img.decompose() else: for img in soup.find_all('img'): img.decompose() self.soupprocessex(soup) content = unicode(soup) #提取文章内容的前面一部分做为摘要 brief = u'' if GENERATE_TOC_DESC: body = soup.find('body') for h1 in body.find_all('h1'): # 去掉H1,避免和标题重复 h1.decompose() for s in body.stripped_strings: brief += unicode(s) + u' ' if len(brief) >= TOC_DESC_WORD_LIMIT: brief = brief[:TOC_DESC_WORD_LIMIT] break soup = None yield (title, None, None, content, brief)
def readability(self, article, url, opts=None, user=None): """ 使用readability-lxml处理全文信息 #因为图片文件占内存,为了节省内存,这个函数也做为生成器 """ content = self.preprocess(article) # 提取正文 try: doc = readability.Document(content,positive_keywords=self.positive_classes) summary = doc.summary(html_partial=False) except: self.log.warn('article is invalid.[%s]' % url) return title = doc.short_title() if not title: self.log.warn('article has no title.[%s]' % url) return title = self.processtitle(title) #if summary.startswith('<body'): #readability解析出错 # html = content #else: #html = self.FragToXhtml(summary, title, addtitleinbody=True) #因为现在只剩文章内容了,使用BeautifulSoup也不会有什么性能问题 soup = BeautifulSoup(summary, "lxml") h = soup.find('head') if not h: h = soup.new_tag('head') t = soup.new_tag('title') t.string = title h.append(t) soup.html.insert(0, h) #如果没有内容标题则添加 body = soup.html.body t = body.find(['h1','h2']) if not t: t = soup.new_tag('h2') t.string = title body.insert(0, t) else: totallen = 0 for ps in t.previous_siblings: totallen += len(string_of_tag(ps)) if totallen > 40: #此H1/H2在文章中间出现,不是文章标题 t = soup.new_tag('h2') t.string = title body.insert(0, t) break if self.remove_tags: for tag in soup.find_all(self.remove_tags): tag.decompose() for id in self.remove_ids: for tag in soup.find_all(attrs={"id":id}): tag.decompose() for cls in self.remove_classes: for tag in soup.find_all(attrs={"class":cls}): tag.decompose() for attr in self.remove_attrs: for tag in soup.find_all(attrs={attr:True}): del tag[attr] for cmt in soup.find_all(text=lambda text:isinstance(text, Comment)): cmt.extract() #删除body的所有属性,以便InsertToc使用正则表达式匹配<body> bodyattrs = [attr for attr in body.attrs] for attr in bodyattrs: del body[attr] if self.extra_css: sty = soup.new_tag('style', type="text/css") sty.string = self.extra_css soup.html.head.append(sty) self.soupbeforeimage(soup) has_imgs = False thumbnail = None if self.keep_image: opener = URLOpener(self.host, timeout=self.timeout) for img in soup.find_all('img',attrs={'src':True}): imgurl = img['src'] if not imgurl.startswith('http'): imgurl = self.urljoin(url, imgurl) if self.fetch_img_via_ssl and url.startswith('https://'): imgurl = imgurl.replace('http://', 'https://') if self.isfiltered(imgurl): self.log.warn('img filtered : %s' % imgurl) img.decompose() continue imgresult = opener.open(imgurl) imgcontent = self.process_image(imgresult.content,opts) if imgresult.status_code==200 else None if imgcontent: if len(imgcontent) < self.img_min_size: #rexdf too small image img.decompose() continue imgtype = imghdr.what(None, imgcontent) if imgtype: imgmime = r"image/" + imgtype fnimg = "img%d.%s" % (self.imgindex, 'jpg' if imgtype=='jpeg' else imgtype) img['src'] = fnimg #使用第一个图片做为目录缩略图 if not has_imgs: has_imgs = True thumbnail = imgurl yield (imgmime, imgurl, fnimg, imgcontent, None, True) else: yield (imgmime, imgurl, fnimg, imgcontent, None, None) else: img.decompose() else: self.log.warn('fetch img failed(err:%d):%s' % (imgresult.status_code,imgurl)) img.decompose() #去掉图像上面的链接,以免误触后打开浏览器 for img in soup.find_all('img'): if img.parent and img.parent.parent and \ img.parent.name == 'a': img.parent.replace_with(img) else: for img in soup.find_all('img'): img.decompose() #将HTML5标签转换为div for x in soup.find_all(['article', 'aside', 'header', 'footer', 'nav', 'figcaption', 'figure', 'section', 'time']): x.name = 'div' self.soupprocessex(soup) #插入分享链接 if user: self.AppendShareLinksToArticle(soup, user, url) content = unicode(soup) #提取文章内容的前面一部分做为摘要 brief = u'' if GENERATE_TOC_DESC: for h in body.find_all(['h1','h2']): # 去掉h1/h2,避免和标题重复 h.decompose() for s in body.stripped_strings: brief += unicode(s) + u' ' if len(brief) >= TOC_DESC_WORD_LIMIT: brief = brief[:TOC_DESC_WORD_LIMIT] break soup = None yield (title, None, None, content, brief, thumbnail)