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GetNews.py
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import requests,json,re,demjson,jieba,os,time
from bs4 import BeautifulSoup
from gensim import corpora, models, similarities
from app.models import Web,Article,Channels
class GetNews:
#搜索网站的url
searchWebUrl = {
'sina':{
'base':'http://www.sina.com.cn/',
'search':"""http://top.tech.sina.com.cn/ws/GetTopDataList.php
?top_type=day
&top_cat=tech_it_suda
&top_time=today
&top_show_num=10
&top_order=DESC
&js_var=tele_day_data
&chars=gbk""",
},
'wangyi':{
'base':'http://news.163.com/',
'search':"""http://tech.163.com/special/00097UHL/tech_datalist.js?callback=data_callback""",
},
'toutiao':{
'base':'https://www.toutiao.com/',
'search':"""https://www.toutiao.com/api/pc/feed/
?category=news_tech
&utm_source=toutiao
&widen=1
&max_behot_time=0
&max_behot_time_tmp=0
&tadrequire=true
&as=A125DAC42C89453
&cp=5A4CF9F4F5C3EE1
&_signature=hUnMegAA3xJDv4CGtRJYZ4VJzG""",
},
'tencent':{
'base':'http://news.qq.com/',
'search':'http://tech.qq.com/',
}
}
#请求头
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:50.0) Gecko/20100101 Firefox/50.0',
}
#频道
channel = {
'wangyi':{'tech':'tech'}
}
#获取链接信息
def get_info(self,url,encode = False):
re = requests.get(url,headers=self.headers, timeout=1)
if re.status_code == 200 :
if encode:
re.encoding = 'utf-8'
return re.text
else:
return False
def get_article_urls(self,text,type):
article_urls = []
if type == 'wangyi': #网易
text = json.loads(text[14:-1])
for info in text:
if 'docurl' in info.keys():
article_urls += [info['docurl']]
if type == 'toutiao': #头条
text = json.loads(text)
if text['message']:
for info in text['data']:
if 'article_genre' in info.keys() and info['article_genre'] != 'article': #排除头条非文章
continue
article_urls += [self.searchWebUrl['toutiao']['base']+info['source_url'].replace('/group/','a')]
if type == 'tencent': #腾讯
text = BeautifulSoup(text, "html.parser")
text = text.select('.Q-tpListInner > .itemtxt > h3 > a')
for info in text:
article_urls += [info['href']]
if type == 'sina': #新浪
text = json.loads(text[20:-2])
for info in text['data']:
article_urls += [info['url']]
return article_urls
def get_article_info(self,url,type):
title,pubtime,content = '','',''
encode = False
if type == 'sina':
encode = True
text = self.get_info(url,encode)
if text == False:
return title,pubtime,BeautifulSoup('', "html.parser")
if type == 'toutiao':
html = BeautifulSoup(text, "html.parser")
for info in html.select('script'):
if 'articleInfo' in info.text:
result = info.text[15:-1]
result = result[:result.find('shareInfo')-5]+'}'
jsonInfo = demjson.decode(result)
title = jsonInfo['articleInfo']['title']
pubtime = jsonInfo['articleInfo']['subInfo']['time']
temp = jsonInfo['articleInfo']['content'].replace('<','<').replace('>','>').replace('"','"').replace('=','=')
content = BeautifulSoup(temp, "html.parser")
break
if type == 'wangyi':
html = BeautifulSoup(text, "html.parser")
title = html.select('#epContentLeft h1')[0].text
pubtime = html.select('#epContentLeft .post_time_source')[0].text[17:36]
content = html.select('#endText')[0]
if type == 'sina':
html = BeautifulSoup(text, "html.parser")
title = html.select('.main-content h1')[0].text
pubtime = html.select('#top_bar .date')[0].text.replace('年','-').replace('月','-').replace('日','')+':00'
content = html.select('#artibody')[0]
if type == 'tencent':
html = BeautifulSoup(text, "html.parser")
title = html.select('.LEFT h1')[0].text
pubtime = html.select('meta[name="_pubtime"]')[0]['content']
content = html.select('.content-article')[0]
if content == '':
content = BeautifulSoup('', "html.parser")
return title,pubtime,content
def get_similarity_gegree(self,originals,exponent): #获取需要对比文章与其他文章的相似度
oris = []
for original in originals:
oris += [self.get_remove_stop_words_dic(original.text)]
exp = self.get_remove_stop_words_dic(exponent.text)
dictionary = corpora.Dictionary(oris) #字典集
query_bow = dictionary.doc2bow(exp)
doc_vectors = [dictionary.doc2bow(text) for text in oris]
tfidf = models.TfidfModel(doc_vectors) #建立TTF-IDF模型
tfidf_vectors = tfidf[doc_vectors]
index = similarities.MatrixSimilarity(tfidf_vectors)
sim = index[query_bow]
# lsi = models.LsiModel(tfidf_vectors, id2word=dictionary, num_topics=1)
# lsi_vector = lsi[tfidf_vectors]
# index = similarities.MatrixSimilarity(lsi_vector)
# query_lsi = lsi[query_bow]
# lsi_sim = index[query_lsi]
# print(list(enumerate(lsi_sim)))
return list(enumerate(sim)) #进行对比
def get_remove_stop_words_dic(self,content): #获取移除停用词的分词字典
stop_words = ['的',',','.','，','。','；','"','“','”',"'",'<','>','《','》','——',' ','(',')']
result = []
for t in jieba.cut(content):
if t not in stop_words:
result += [t]
return result
#获取搜索的url
def get_search_url(self,web,type):
webObj = Web.objects
baseInfo = webObj.get(web=web)
channelInfo = Channels.objects.get(id=baseInfo.id)
url = baseInfo.search_url.format(channelInfo.sign)
print(url)
if __name__ == '__main__':
getnews = GetNews()
url = "http://www.toutiao.com/search_content/?offset={}&format=json&keyword={}&autoload=true&count=10&cur_tab=1"
text = getnews.get_info('http://tech.163.com/special/00097UHL/tech_datalist.js?callback=data_callback')
#text = getnews.get_info('https://www.toutiao.com/api/pc/feed/?category=news_tech&utm_source=toutiao&widen=1&max_behot_time=0&max_behot_time_tmp=0&tadrequire=true&as=A125DAC42C89453&cp=5A4CF9F4F5C3EE1&_signature=hUnMegAA3xJDv4CGtRJYZ4VJzG')
#text = getnews.get_info('http://top.tech.sina.com.cn/ws/GetTopDataList.php?top_type=day&top_cat=tech_it_suda&top_time=today&top_show_num=10&top_order=DESC&js_var=tele_day_data&chars=gbk',True)
#取qq的第一篇文章
#text = getnews.get_info('http://tech.qq.com/')
urls = getnews.get_article_urls(text,'wangyi')
print(urls[0])
title,pubtime,content = getnews.get_article_info(urls[0],'wangyi')
print(title)
o_urls = getnews.get_article_urls(getnews.get_info(url.format('0',title)),'toutiao')
ors = []
for o_url in o_urls:
time.sleep(3)
title,pubtime,o_content = getnews.get_article_info(o_url,'toutiao')
print(title)
ors += [o_content]
si = getnews.get_similarity_gegree(ors,content)
print(si)