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renminwang.py
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renminwang.py
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import re
from html.parser import HTMLParser
from urllib import request
from urllib.error import URLError
import jieba
import json
import time
# 正则表达式预编译：
re_time = re.compile("\d{4}年.*?:\d{2}", flags=re.S)
re_page = re.compile("[上下]一页.*?[上下]一页", flags=re.S)
re_pagenum = re.compile("\d+", flags=re.S)
re_url_finance = re.compile(r"http://(?:opinion|legal|military|politics|finance|money)\.people\.com\.cn/n1/.*?\.html", flags=re.S)
visited = set() #访问过的url
dic={} #倒排索引字典
count = [0]
#新闻类对象：
class News(object):
def __init__(self):
self.title = None #新闻标题
self.time = None #新闻发布日期
self.text = None #新闻的正文内容
#获取html标签属性：
def _attr(attrlist, attrname):
for attr in attrlist:
if attr[0] == attrname:
return attr[1]
return None
#正则表达式匹配：
def re_findall(re_word, string): # 匹配函数
re_compiled = re.compile(re_word,flags=re.S) # 正则表达式预编译
result = re.findall(re_compiled,string) # 找出所有结果
return result
#html解析类：
class MyHTMLParser(HTMLParser):
def __init__(self,ifFirstPage):
HTMLParser.__init__(self)
self.iftitle=False
self.iftext=False
self.iftime=False
self.ifFirst=ifFirstPage
self.pageNum=1
self.news=News()
#匹配开始标签：
def handle_starttag(self, tag, attrs):
if tag == 'div' and _attr(attrs, 'class'):
string=_attr(attrs, 'class')
if re_findall(".*text_title$", string): #标题开始
self.iftitle=True
if string=="box01" and self.iftitle:
self.iftime=True
if re_findall(".*text_con_left$", string): #正文开始
self.iftext = True
#通过匹配注释判断标题及正文是否结束：
def handle_comment(self, data):
if re_findall(".*text left end.*", data) and self.iftext:
self.iftext=False
if re_findall(".*text_title end.*", data) and self.iftitle:
self.iftitle = False
def handle_endtag(self, tag):
if self.lasttag=="/div" and self.iftime:
self.iftime=False
#提取内容
def handle_data(self, data):
if data.strip(): #去除空格
if self.lasttag=='h1' and self.iftitle and self.ifFirst: #标题
#print("Encountered title :", data)
self.news.title=data
if self.iftime and self.ifFirst: #时间
time = re.search(re_time, data)
if time:
#print("Encountered time :", time.group())
self.news.time=time.group()
if self.lasttag=='p' and self.iftext: #正文内容
pageinfo = re.search(re_page, data)
if pageinfo:
if self.ifFirst: # 若是第一页，读取页数信息
num = re.search(re_pagenum, pageinfo.group())
self.pageNum=num.group().__len__()
#print("Encountered pageinfo :", self.pageNum)
else:
#print("Encountered text :", data)
if self.news.text==None:
self.news.text =data
else:
self.news.text += data
def getNews(url,count,dic):
# 获取并解析第一页
praser = MyHTMLParser(True)
praser.feed(request.urlopen(url).read().decode('GBK',"ignore"))
# 根据第一页的页数信息，决定是否继续读取
if praser.pageNum>1:
for i in range(2,praser.pageNum+1):
_url=url[:-5]+"-{}.html".format(i)
print(_url)
_praser = MyHTMLParser(False)
_praser.feed(request.urlopen(_url).read().decode('GBK',"ignore"))
praser.news.text+=_praser.news.text
if praser.news.title and praser.news.time and praser.news.text:
#将内容存入文件：
count[0] =count[0] + 1 #累加计数
if count[0]%100==0: #每爬100个休息五秒
time.sleep(5)
if count[0] % 300 == 0: #每300个保存一次
end()
r = '[’!"#$%&\'()*+,-./:;<=>?@\[\]^_`{|}~+，。、？；：‘’“”【】{}-—]'
file = open('./news/{}.txt'.format(count[0]), 'w', encoding="utf-8")
print(count[0])
file.write(praser.news.title+"\n")
file.write(praser.news.time + "\n")
file.write(praser.news.text.replace("\t",""))
file.close()
title=re.sub(r," ",praser.news.title)
text=re.sub(r," ",praser.news.text)
list1=jieba.cut_for_search(title)
list2 = jieba.cut_for_search(text)
for item in list1:
if item in dic:
if dic[item][-1][0] == count[0]:
dic[item][-1][1] += 1
else:
dic[item].append([count[0], 1])
else:
dic[item] = [[count[0], 1]]
for item in list2:
if item.strip():
if item in dic:
if dic[item][-1][0]==count[0]:
dic[item][-1][1] += 1
else:
dic[item].append([count[0],1])
else:
dic[item]=[[count[0], 1]]
#print("题目：", praser.news.title)
#print("时间：", praser.news.time)
#print("内容：", praser.news.text)
def dfs(url):
#if count[0]==1000:end()
# 把该url添加进visited
visited.add(url)
try:
# 该url没有访问过的话，则继续解析操作
getNews(url,count,dic)
#提取该页面其中所有的url
html=request.urlopen(url).read().decode('GBK', "ignore")
links = re.findall(re_url_finance,html)
for link in links:
if link not in visited:
dfs(link)
except URLError as e:
print(e)
return
#从断点读入已经爬取过的数据：
def init():
file = open('urlSet.txt', 'r', encoding="utf-8")
string=file.readline()[:-1]
count[0]=int(string)
string=file.readline()[:-1]
while string:
visited.add(string)
string = file.readline()[:-1]
file.close()
file = open('dic.txt', 'r', encoding="utf-8")
js = file.read()
file.close()
dic = json.loads(js)
#保存数据：
def end():
file = open('urlSet.txt', 'w', encoding="utf-8")
file.write(str(count[0]))
file.write("\n")
for i in visited:
file.write(i)
file.write("\n")
file.close()
file = open('dic.txt', 'w', encoding="utf-8")
js = json.dumps(dic)
file.write(js)
file.close()
#转换txt为json格式
def handle_txt(num):
context=[]
for i in range(1,num+1):
file = open(r'D:\Python_Project\mysite\Web_Django\news\{0}.txt'.format(i), 'r', encoding="utf-8")
title=file.readline()
time=file.readline()
context.append({"id":str(i),"title":title,"time":time})
with open(r"D:\Python_Project\mysite\data.json", 'w') as f:
json.dump(context, f)
#init()
dfs(r"http://finance.people.com.cn")
dfs(r"http://money.people.com.cn")
dfs(r"http://politics.people.com.cn/")
dfs(r"http://military.people.com.cn/")
dfs(r"http://opinion.people.com.cn/")
dfs(r"http://legal.people.com.cn/")
end()