依据Github光大证券中文云系统开源的说明文档，应该是分爬虫模块、检索模块、统计模块、关键词频模块和关键词网络模块，是一个整体非常庞大的系统。现在的进度是，深入研究了爬虫模块。爬虫模块主要作用在于将股票论坛、个股新闻、研究报告三个网站的网页
数据通过网页解析的方式将文本内容爬下来,用于之后模块的文本挖掘。爬虫模块将爬到的文本数据以【日期 + 股票代码】为单位存至相应的TXT
文本文件当中,同时将文本文件所在的位置以及其他相关信息写入数据库。
目前的进展是，我附上的GetSinaNews_pylucene.py这个代码已经可以直接运行，连接读取数据库也成功。但是无法出现Technical说明文档中，存储text文件的效果。经查证，似乎是调用的方式不对，GetSinaNews_pylucene.py似乎是后台文件被调用，要直接运行前端的某个文件，然而前端该文件似乎还调用了整个项目其他py代码，很复杂，因此搁置，未能调通。
#coding=GBK
import Queue
#一个队列的包，与thread配合使用，多线程运行，保证速度
import threading #多线程
#from pymmseg import mmseg
##load seperateword tool
#mmseg.dict_load_defaults() ##load
seperateword default dictionary
#mmseg.dict_load_words('stockname.dic') ##load special
stockname and stock numberdictionary
import urllib2
#爬虫抓取网页内容常用的一个包，抓取下来后，利用包中自带的一系列函数，对内容进行类似文档一样的处理和调用
import time
import re
from bs4 import BeautifulSoup
#beatifulsoup一个爬虫解析网页的包
from urlparse import urljoin
import pyodbc
#连接远程sql server数据库的包
#import MySQLdb
import string
import sys
reload(sys)
sys.setdefaultencoding('gbk') #对中文字符进行的编码处理
originalURL="http://money.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=sh600418&Page=1"
#原始网页
queue = Queue.Queue()
out_queue = Queue.Queue()
hosts=[]
conn1=pyodbc.connect("DRIVER={SQL
Server};SERVER=;DATABASE=;UID=;PWD=") #连接数据库
cur=conn1.cursor() #游标
cur.execute("select s_info_code,market from ggg") #where class
like 'A%' and closedate is Null order by code
#读取所有股票编号及所在市场
result=cur.fetchall()
stockCodes=[]
for i in range(len(result)):
if
result[i][1]=='SZ'.encode('GBK'):
stockCodes.append('sz'+result[i][0])
if
result[i][1]=='SH'.encode('GBK'):
stockCodes.append('sh'+result[i][0])
#将股票代码，市场重新存入stockCodes中，有一个转码，不再是GBK了
for stock_code in stockCodes:
oriURL=originalURL[:-15]+stock_code+originalURL[-7:]
print oriURL
#time.sleep(1)
hosts.append([oriURL,stock_code[2:]])
#替换原始网址中的symbol=的值，从而形成新浪财经各个编码股票的网址 存入host格式是：网址+股票编码
class ThreadUrl(threading.Thread):
def __init__(self,
queue, out_queue):
threading.Thread.__init__(self)
self.queue = queue
self.out_queue = out_queue
#利用urillib这个包，爬取网页的所有内容
def run(self):
while True:
try:
#grabs host from queue
hostchunk = self.queue.get()
host=hostchunk[0]
queuestock_code=hostchunk[1]
#grabs urls of hosts and then
grabs chunk of webpage
#print self.getName()+'Now
Grabbing'+host
url = urllib2.urlopen(host)
# print
self.getName()+'END___Grabbing'+host
chunk = url.read()
#将读取的网页内容存入chunk
#再将chunk和股票编码存入队列
#place chunk into out queue
self.out_queue.put([host,chunk,queuestock_code])
#signals to queue job is done
#self.queue.task_done()
#特例出现报错的情况
except
Exception,e:
#writeindex=file('GrabErro.txt','a+')
print 'There is
Problem@@@@@@@@@@@@@@@@@@@GRABErro'
# writeindex.write(str(e)+'\n')
# writeindex.close()
if 'HTTP
Error' in str(e):
time.sleep(10)
filer=file('stock_code.txt','r')
stock_codes=filer.readlines()
for
stock_code in stock_codes:
oriURL=host[:71]+stock_code[:-1]+host[79:]
hosts.append([oriURL,stock_code[:-1]])
continue
class DatamineThread(threading.Thread):
def
__init__(self,queue,out_queue):
threading.Thread.__init__(self)
self.out_queue = out_queue
self.queue = queue
#没有完全读懂这个函数，大体是结合新浪财经网页的具体特点，将用urllib2爬下来的内容运用Beautiful
Soup进行解析。
def run(self):
crawler1=crawler(self.getName())
while True:
try:
chunkUrl =
self.out_queue.get()
# print
'QUEUE_____SIZE:::*********************'+str(self.out_queue.qsize())
chunk=chunkUrl[1]
page=chunkUrl[0]
tempstock_code=chunkUrl[2]
#
print 'addtoindex::'+page
#parse the chunk
if 'Page'
in page:
print
self.getName()+'Beginning Souping'+page
soup=BeautifulSoup(chunk,fromEncoding='GBK')
crawler1.addtoindex(page,tempstock_code)
######################ÐÂÀËÖÐÓÐЩҳÃæÊÇÌøתµ½ÁíÒ»¸öÒ³ÃæµÄ,ÏÂÃæÓнøÐÐÏàÓ¦µÄ´¦Àí###
if 'AllNews'not in page:
InCaseTransLink=soup.find('meta',{"http-equiv":"Refresh"})
if
InCaseTransLink==None:
crawler1.insertTextInfo(soup,page,tempstock_code)
else:
transLink=InCaseTransLink['content'][6:]
if not
crawler1.isindexed(transLink,tempstock_code):
self.queue.put([transLink,tempstock_code])
if
'AllNews' in page:
soup1=soup.find('table',{"class":"table2"})
if soup1!=None:
links=soup1.findAll('a',href=True)
indexFlag=0
EarlyindexFlag=0
for link in links :
link=link["href"]
if 'Early' in page:
if not crawler1.isInserted(link,page[78:84]):
if not
crawler1.isindexed(link,page[78:84]):
#if EarlyindexFlag==0:
self.queue.put([link,page[78:84]])
else:
EarlyindexFlag=1
else:
if not crawler1.isInserted(link,page[73:79]):
if not
crawler1.isindexed(link,page[73:79]):
# if
indexFlag==0:
self.queue.put([link,page[73:79]])
else:
indexFlag=1
#print self.getName()+'Ending
Souping'+page
##ÒòΪÔÚÐÂÀ˸ö¹ÉÔçÆÚ×ÊѶÖÐ,ÏÂÒ»Ò³µÄÁ´½ÓÖ¸Ïò´íÎó,Òò´ËдÁËÏÂÃæµÄ´úÂë
if 'Early'
in page:
lastlink=links[-1]["href"]
if 'News'
in lastlink :
if 'Early'
not in lastlink:
newlastlink=lastlink[:59]+'Early'+lastlink[59:]
if not
crawler1.isindexed(newlastlink,page[78:84]):
self.queue.put([newlastlink,page[78:84]])
crawler1.dbcommit()
except
Exception,e:
writeindex2=file('DatamineErro.txt','a+')
print
'There is Problem@@@@@@@@@@@@@@@@@@@DATAMINEErro'
writeindex2.write(str(e)+'\n')
writeindex2.close()
continue
###################################################################################
class crawler:
def __init__(self, name):
##
self.conn=sqlite.connect(dbname)
self.conn=pyodbc.connect("DRIVER={SQL
Server};SERVER=;DATABASE=;UID=;PWD=")
#
self.conn=MySQLdb.connect(host='localhost',user='root',passwd='233218')
#
self.conn.select_db(dbname)
self.cursor=self.conn.cursor()
#
self.cursor.execute('ALTER DATABASE DEFAULT CHARACTER SET GBK')
#
self.cursor.execute('set names GBK')
self.name=name
#自行定义封装的一个完成爬虫爬下来的内容和云端数据库存储，查询等操作的一个类
def __del__(self):
self.cursor.close() #数据库基本操作，关闭游标
def dbcommit(self):
self.conn.commit() #数据库基本操作，提交
#查询云端数据库某张表是否存储了该网址和对应的股票代码，存储了则返回rowid，没有则添加。
def getentryid(self
,table,field1,value1,field2,value2,createnew=True):
self.cursor.execute("select rowid from %s where
%s='%s' and %s='%s'"%(table,field1,value1,field2,value2))
res=self.cursor.fetchone()
# if
table=='urllist':
#
print
self.name+table+'*****the rowid******'+str(res)
if
res==None:
#I have changed the cursor.py
line 127 charset
###################sql
serverµÄд·¨##################################
self.cursor.execute("insert
into %s values('%s','%s')"%(table,value1,value2))
self.conn.commit()
self.cursor.execute("select
max(rowid) from %s"%(table))
LastRowID=self.cursor.fetchone()[0]
######################################################################
return LastRowID
else:
return res[0]
#如果在表sinaNewsUrllist中没有存储，则添加
def addtoindex(self,url,stockcode):
if
(self.isindexed(url,stockcode)==False):
urlid=self.getentryid('sinaNewsUrllist','url',url,'stockcode',stockcode)
#解析取所有网页内容中text部分
def gettextonly(self,soup):
v=soup.string
if
v==None:
c=soup.contents
resulttext=''
for t in c :
subtext=self.gettextonly(t)
resulttext+=subtext
return resulttext
else:
return v.strip()
#取文章的内容
def getContentsText(self,soup,url):
if
url[26:30]=='look':
content=soup.find('div',{"class":"huifu"})
resultContenttext=self.gettextonly(content)
return resultContenttext
#取文章的标题
def getTitleText(self,soup,url):
if
url[26:30]=='look':
content1=soup.find('div',{"class":"biaoti"})
resultTitletext=self.gettextonly(content1)
return resultTitletext
def separatewords(self,text):
utf8text=text.encode('utf-8')
#because mmseg can only deal with utf-8
algor=mmseg.Algorithm(utf8text)
resulttext=[]
for
tok in algor:
resulttext.append(tok.text.decode('utf-8').encode('GBK'))
return
resulttext
#查询是否有在数据库表sinaNewsUrllist中存储
def isindexed(self,url,stockcode):
self.cursor.execute("select rowid from
sinaNewsUrllist where url='%s' and stockcode='%s'" %
(url,stockcode))
u=self.cursor.fetchone()
if
u!=None:
return True
return
False
#检查是否在表sinaStockNews中已经添加成功
def isInserted(self,url,stockcode):
self.cursor.execute("select * from sinaStockNews
where url='%s' and stockcode='%s'" % (url,stockcode))
u=self.cursor.fetchone()
if
u!=None:
return True
return
False
#将爬到的内容以一行：url，股票代码，发表时间，文章标题，内容的形式存储到表sinaStockNews中
def
insertTextInfo(self,soup,url,stock_code):
#
print '@@@@@@@@@@@@@@@@@@@@@@@@'
tempsoup=soup.find('div',{"class":"blkContainerSblk"})
title=tempsoup.find('h1').string.encode('GBK')
timestring=soup.find('span',{"id":"pub_date"}).string
time=timestring[0:4]+timestring[5:7]+timestring[8:10]
print
time
if
tempsoup != None:
texts=tempsoup.findAll('p')
if
len(texts)>0:
resultText=''
for text
in texts:
##ÓÐЩÊÇûÓÐÓõĴúÂëµÄƬ¶Î,¹ýÂ˵ô#
tmptext=self.gettextonly(text)
if
'document.getElementByIdx_x("artibodyTitle").innerHTML'not in tmptext:
resultText=resultText+tmptext+'\n'
resultText.replace("'"," ")
self.cursor.execute("insert into sinaStockNews
values('%s','%s','%s','%s','%s')"%(url,stock_code,str(time),title,resultText.decode('GBK').encode('GBK')))
#
writeindex.write(resultText.decode('GBK').encode('utf-8'))
#没有太看明白这个函数，和爬新闻内容没有太大关系，涉及到后面的字段分析。
def insertWordInfo(self,soup,url):
id=string.atoi(url[31:37]+url[38:-5])
self.cursor.execute("select * from wordlocation
where textid='%d'"%(id))
u=self.cursor.fetchone()
if
u==None:
contentsText=str(self.getContentsText(soup,url))
titleText=str(self.getTitleText(soup,url))
contentsWords=self.separatewords(contentsText)
titleWords=self.separatewords(titleText)
for i in
range(len(contentsWords)):
word=contentsWords[i]
self.cursor.execute("insert into
wordlocation(textid,word,location)
values('%d','%s','contents')"%(id,word))
for i in
range(len(titleWords)):
word=titleWords[i]
self.cursor.execute("insert into
wordlocation(textid,word,location)
values('%d','%s','title')"%(id,word))
self.conn.commit()
def createindextables(self):
self.cursor.execute('create database gubaSearch character set gbk')
self.cursor.execute('create table urllist(rowid int identity(1,1)
,url varchar(100))default charset=gbk')
self.cursor.execute('create table wordlocation(textid bigint,word
varchar(100) ,location varchar(100))default charset=gbk')
self.cursor.execute('create index urlidx on urllist(url)')
self.cursor.execute('create index textidx on wordlocation(textid)')
self.cursor.execute("create table text(id bigint Primary key,url
varchar(100),pub_date date,topic_id int,reply_num int,access_num
int ,subject varchar(100))default charset=gbk")
self.cursor.execute('create index idx on text(id)')
self.cursor.execute('create index pubdatex on text(pub_date)')
self.conn.commit()
def main():
#spawn a pool of
threads.
#开了15个多进程
for i in range(15):
t = ThreadUrl(queue, out_queue)
t.setDaemon(True) #以后台的方式运行
t.start()
#populate queue with
data
#放入队列
for host in hosts:
queue.put(host)
for i in range(40):
dt = DatamineThread(queue,out_queue)
dt.setDaemon(True)
dt.start()
print 'bbbb'
#wait on the queue until
everything has been processed
queue.join()
out_queue.join()
main()
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