def __init__(self, site_id, Name, runtime_queue, list, per_max_num, Flcok,
home_urls):
'''
site_id:
获得相应的目录
'''
threading.Thread.__init__(self, name=Name)
self.runtime_queue = runtime_queue
#self.result = result
#路径管理
self.path = path(site_id)
self.num = 0
self.maxnum = per_max_num
self.list = list
self.Flcok = Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest = Urltest(home_urls)
self.htmlparser = Collector()
self.collector = collector(home_urls)
#初始化home_list
self.home_urls = home_urls
self.inqueue = Queue()
#开始对原始目录进行清扫
#建立站点
self.path.mk_dir(self.path.g_site())
#urltest
self.path.rm_file(self.path.g_urltest())
#晴空document
self.path.clean_dir(self.path.g_document())
def __init__(self,site_id, Name, runtime_queue, list, per_max_num ,Flcok,home_urls):
'''
site_id:
获得相应的目录
'''
threading.Thread.__init__(self, name = Name )
self.runtime_queue = runtime_queue
#self.result = result
#路径管理
self.path = path(site_id)
self.num = 0
self.maxnum = per_max_num
self.list=list
self.Flcok=Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest=Urltest(home_urls)
self.htmlparser=Collector()
self.collector=collector(home_urls)
#初始化home_list
self.home_urls=home_urls
self.inqueue = Queue()
#开始对原始目录进行清扫
#建立站点
self.path.mk_dir( self.path.g_site() )
#urltest
self.path.rm_file( self.path.g_urltest() )
#晴空document
self.path.clean_dir( self.path.g_document() )
def __init__(self, Name, runtime_queue, list, per_max_num, Flcok):
threading.Thread.__init__(self, name=Name)
self.runtime_queue = runtime_queue
#self.result = result
self.num = 0
self.maxnum = per_max_num
self.list = list
self.Flcok = Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest = Urltest()
self.htmlparser = Collector()
self.collector = collector()
#初始化home_list
self.home_urls = []
self.inqueue = Queue()
def __init__(self, Name, runtime_queue, list, per_max_num ,Flcok):
threading.Thread.__init__(self, name = Name )
self.runtime_queue = runtime_queue
#self.result = result
self.num = 0
self.maxnum = per_max_num
self.list=list
self.Flcok=Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest=Urltest()
self.htmlparser=Collector()
self.collector=collector()
#初始化home_list
self.home_urls=[]
self.inqueue = Queue()
class reptile(threading.Thread):
def __init__(self, Name, runtime_queue, list, per_max_num ,Flcok):
threading.Thread.__init__(self, name = Name )
self.runtime_queue = runtime_queue
#self.result = result
self.num = 0
self.maxnum = per_max_num
self.list=list
self.Flcok=Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest=Urltest()
self.htmlparser=Collector()
self.collector=collector()
#初始化home_list
self.home_urls=[]
self.inqueue = Queue()
def init_home_urls(self):
'''
得到父地址 作为接口可以被重载
'''
#self.home_urls=self.sqlite.execute('select * from home_urls')
self.home_url="http://www.cau.edu.cn"
def add_runtime_urls(self,docname,url):
self.Flcok.acquire()
confile = open('store/urltest.txt', 'a+')
confile.write( docname+' '+url+'\n')
confile.close()
self.Flcok.release()
def run(self):
'''
运行主程序
'''
opener = urllib2.build_opener()
while True:
print 'queue size:',self.runtime_queue.qsize()
if self.runtime_queue.qsize()==0:
print 'the queue is empty break the while'
break
#单次运行时url
url = self.runtime_queue.get()
print 'get a url from runtime',url
if url == None:
break
print 'get the url from runtime',url
request = urllib2.Request(url)
request.add_header('Accept-encoding', 'gzip')
#局部未处理url存储
raw_url=[]
try:
page = opener.open(request,timeout=2) #设置超时为2s
if page.code == 200:
predata = page.read()
pdata = StringIO.StringIO(predata)
gzipper = gzip.GzipFile(fileobj = pdata)
try:
data = gzipper.read()
except(IOError):
data = predata
try:
if len(data)<300:
continue
#begain to parse the page
self.htmlparser.init(data)
self.collector.init(data)
except:
print 'not a useful page'
#获取页面中url 加入到inqueue 和 Urlist中
for item in self.htmlparser.get_url():
if item.find('#')<0:
raw_url.append(item)
self.num += 1
#将已经下载html的url进行存储
docname=self.getName()+str(self.num)
#将链接进行存储e
print 'begain add_runtime_urls'
self.add_runtime_urls(docname, url)
print 'succeed add runtime_urls'
page.close()
if self.num >= self.maxnum:
break
except:
print 'end error'
temHomeUrl=self.urltest.tem_home(url)
print 'begain trans_d'
self.trans_d(temHomeUrl,raw_url)
#将信息进行储存
self.save_doc_content(docname,temHomeUrl)
if self.num>self.maxnum:
for i in self.list:
print i
break
return True
def trans_d(self,tem_home,rawurls):
'''
对地址的处理：
包括 判断url是否为父地址的子页面
将 相对url 转化为 相对url
'''
print 'get tem_home',tem_home
print 'get rawurls',rawurls
while True:
if len(rawurls)>0:
url=rawurls.pop()
else:
return False
newurl=self.urltest.abs_url_trans(tem_home, url)
if newurl and self.list.find(newurl) == False:
print 'input a url into runtime_queue',newurl
self.runtime_queue.put(newurl)
def save_doc_content(self,docname,tem_home):
'''
将各个节点的内容存入数据库中
'''
print 'begain save_doc_content'
title=self.htmlparser.get_nodes('title')
h1=self.htmlparser.get_nodes('h1')
h2=self.htmlparser.get_nodes('h2')
h3=self.htmlparser.get_nodes('h3')
b=self.htmlparser.get_nodes('b')
a=self.htmlparser.get_as()
content=self.htmlparser.get_content()
f=open('store/document/'+self.name+str(self.num),'w')
try:
f.write(self.collector.xml(tem_home).toxml())
except:
print 'write the data wrong'
print 'begain to save content in file'
#text=docname+'@chunwei@'+title+'@chunwei@'+a[0]+'@chunwei@'+a[1]+'@chunwei@'+h1+'@chunwei@'+h2+'@chunwei@'+h3+'@chunwei@'+b+'@chunwei@'+content
def __backFind(self,home,s):
thome=home[::-1]
i=thome.find(s)
if i>-1:
return len(home)-i-1
else:
return False
class reptile(threading.Thread):
#全局值
# queue : the runtime url bar ( the repile pop a new url from it each time)
# name : repile 进程的名称
# Flcok : 对文件操作的琐
# num : repile进程下载页面个数
# list : Urlist对象 运行时url参考 以判断页面是否下载过
# homelist : 父目录参考(模拟垂直下载)
# maxnum : 设定repile进程下载页面数上限
#局部：
#raw_url : 存储每次下载页面中的未经过处理的url
#inque : queue的继承 运行时绝对url参考
def __init__(self, site_id, Name, runtime_queue, list, per_max_num, Flcok,
home_urls):
'''
site_id:
获得相应的目录
'''
threading.Thread.__init__(self, name=Name)
self.runtime_queue = runtime_queue
#self.result = result
#路径管理
self.path = path(site_id)
self.num = 0
self.maxnum = per_max_num
self.list = list
self.Flcok = Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest = Urltest(home_urls)
self.htmlparser = Collector()
self.collector = collector(home_urls)
#初始化home_list
self.home_urls = home_urls
self.inqueue = Queue()
#开始对原始目录进行清扫
#建立站点
self.path.mk_dir(self.path.g_site())
#urltest
self.path.rm_file(self.path.g_urltest())
#晴空document
self.path.clean_dir(self.path.g_document())
def add_runtime_urls(self, docname, url):
self.Flcok.acquire()
confile = open(self.path.g_urltest(), 'a+')
confile.write(docname + ' ' + url + '\n')
confile.close()
self.Flcok.release()
def run(self):
'''
运行主程序
'''
opener = urllib2.build_opener()
while True:
print 'queue size:', self.runtime_queue.qsize()
if self.runtime_queue.qsize() == 0:
print 'the queue is empty break the while'
break
#单次运行时url
url = self.runtime_queue.get()
if url == None:
break
print 'get from runtime', url
request = urllib2.Request(url)
request.add_header('Accept-encoding', 'gzip')
#局部未处理url存储
raw_url = []
try:
page = opener.open(request, timeout=2) #设置超时为2s
if page.code == 200:
predata = page.read()
pdata = StringIO.StringIO(predata)
gzipper = gzip.GzipFile(fileobj=pdata)
try:
data = gzipper.read()
except (IOError):
data = predata
try:
if len(data) < 300:
continue
#begain to parse the page
self.htmlparser.init(data)
self.collector.init(data)
except:
print 'not a useful page'
#获取页面中url 加入到inqueue 和 Urlist中
for item in self.htmlparser.get_url():
if item.find('#') < 0:
raw_url.append(item)
self.num += 1
#将已经下载html的url进行存储
docname = self.getName() + str(self.num)
#print 'docname',docname
#将链接进行存储e
#print 'begain add_runtime_urls'
self.add_runtime_urls(docname, url)
#print 'succeed add runtime_urls'
page.close()
if self.num >= self.maxnum:
break
except:
print 'end error'
temHomeUrl = self.urltest.tem_home(url)
#print 'begain trans_d'
self.trans_d(temHomeUrl, raw_url)
#将信息进行储存
try:
self.save_doc_content(docname, temHomeUrl)
except:
print 'encode wrong'
pass
if self.num > self.maxnum:
'''for i in self.list:
###print i
break'''
return True
def trans_d(self, tem_home, rawurls):
'''
对地址的处理：
包括 判断url是否为父地址的子页面
将 相对url 转化为 相对url
'''
#print 'get tem_home',tem_home
#print 'get rawurls',rawurls
while True:
if len(rawurls) > 0:
url = rawurls.pop()
else:
return False
#print 'tem_home>',tem_home
#print 'begin abs_url_trans'
newurl = self.urltest.abs_url_trans(tem_home, url)
#print 'newurl'+'-'*50
#print 'get new>',newurl
if newurl and self.list.find(newurl) == False:
#print 'input>',newurl
self.runtime_queue.put(newurl)
def save_doc_content(self, docname, tem_home):
'''
将各个节点的内容存入数据库中
'''
#print 'begain save_doc_content'
title = self.htmlparser.get_nodes('title')
h1 = self.htmlparser.get_nodes('h1')
h2 = self.htmlparser.get_nodes('h2')
h3 = self.htmlparser.get_nodes('h3')
b = self.htmlparser.get_nodes('b')
a = self.htmlparser.get_as()
content = self.htmlparser.get_content()
f = open(self.path.g_document() + '/' + self.name + str(self.num), 'w')
try:
f.write(self.collector.xml(tem_home).toxml())
except:
print 'write the data wrong'
pass
#f.write(self.collector.xml(tem_home).toxml())
def __backFind(self, home, s):
thome = home[::-1]
i = thome.find(s)
if i > -1:
return len(home) - i - 1
else:
return False
class reptile(threading.Thread):
#全局值
# queue : the runtime url bar ( the repile pop a new url from it each time)
# name : repile 进程的名称
# Flcok : 对文件操作的琐
# num : repile进程下载页面个数
# list : Urlist对象 运行时url参考 以判断页面是否下载过
# homelist : 父目录参考(模拟垂直下载)
# maxnum : 设定repile进程下载页面数上限
#局部：
#raw_url : 存储每次下载页面中的未经过处理的url
#inque : queue的继承 运行时绝对url参考
def __init__(self,site_id, Name, runtime_queue, list, per_max_num ,Flcok,home_urls):
'''
site_id:
获得相应的目录
'''
threading.Thread.__init__(self, name = Name )
self.runtime_queue = runtime_queue
#self.result = result
#路径管理
self.path = path(site_id)
self.num = 0
self.maxnum = per_max_num
self.list=list
self.Flcok=Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest=Urltest(home_urls)
self.htmlparser=Collector()
self.collector=collector(home_urls)
#初始化home_list
self.home_urls=home_urls
self.inqueue = Queue()
#开始对原始目录进行清扫
#建立站点
self.path.mk_dir( self.path.g_site() )
#urltest
self.path.rm_file( self.path.g_urltest() )
#晴空document
self.path.clean_dir( self.path.g_document() )
def add_runtime_urls(self,docname,url):
self.Flcok.acquire()
confile = open(self.path.g_urltest(), 'a+')
confile.write( docname+' '+url+'\n')
confile.close()
self.Flcok.release()
def run(self):
'''
运行主程序
'''
opener = urllib2.build_opener()
while True:
print 'queue size:',self.runtime_queue.qsize()
if self.runtime_queue.qsize()==0:
print 'the queue is empty break the while'
break
#单次运行时url
url = self.runtime_queue.get()
if url == None:
break
print 'get from runtime',url
request = urllib2.Request(url)
request.add_header('Accept-encoding', 'gzip')
#局部未处理url存储
raw_url=[]
try:
page = opener.open(request,timeout=2) #设置超时为2s
if page.code == 200:
predata = page.read()
pdata = StringIO.StringIO(predata)
gzipper = gzip.GzipFile(fileobj = pdata)
try:
data = gzipper.read()
except(IOError):
data = predata
try:
if len(data)<300:
continue
#begain to parse the page
self.htmlparser.init(data)
self.collector.init(data)
except:
print 'not a useful page'
#获取页面中url 加入到inqueue 和 Urlist中
for item in self.htmlparser.get_url():
if item.find('#')<0:
raw_url.append(item)
self.num += 1
#将已经下载html的url进行存储
docname=self.getName()+str(self.num)
#print 'docname',docname
#将链接进行存储e
#print 'begain add_runtime_urls'
self.add_runtime_urls(docname, url)
#print 'succeed add runtime_urls'
page.close()
if self.num >= self.maxnum:
break
except:
print 'end error'
temHomeUrl=self.urltest.tem_home(url)
#print 'begain trans_d'
self.trans_d(temHomeUrl,raw_url)
#将信息进行储存
try:
self.save_doc_content(docname,temHomeUrl)
except:
print 'encode wrong'
pass
if self.num>self.maxnum:
'''for i in self.list:
###print i
break'''
return True
def trans_d(self,tem_home,rawurls):
'''
对地址的处理：
包括 判断url是否为父地址的子页面
将 相对url 转化为 相对url
'''
#print 'get tem_home',tem_home
#print 'get rawurls',rawurls
while True:
if len(rawurls)>0:
url=rawurls.pop()
else:
return False
#print 'tem_home>',tem_home
#print 'begin abs_url_trans'
newurl=self.urltest.abs_url_trans(tem_home, url)
#print 'newurl'+'-'*50
#print 'get new>',newurl
if newurl and self.list.find(newurl) == False:
#print 'input>',newurl
self.runtime_queue.put(newurl)
def save_doc_content(self,docname,tem_home):
'''
将各个节点的内容存入数据库中
'''
#print 'begain save_doc_content'
title=self.htmlparser.get_nodes('title')
h1=self.htmlparser.get_nodes('h1')
h2=self.htmlparser.get_nodes('h2')
h3=self.htmlparser.get_nodes('h3')
b=self.htmlparser.get_nodes('b')
a=self.htmlparser.get_as()
content=self.htmlparser.get_content()
f=open(self.path.g_document()+'/'+self.name+str(self.num),'w')
try:
f.write(self.collector.xml(tem_home).toxml())
except:
print 'write the data wrong'
pass
#f.write(self.collector.xml(tem_home).toxml())
def __backFind(self,home,s):
thome=home[::-1]
i=thome.find(s)
if i>-1:
return len(home)-i-1
else:
return False
class reptile(threading.Thread):
def __init__(self, Name, runtime_queue, list, per_max_num, Flcok):
threading.Thread.__init__(self, name=Name)
self.runtime_queue = runtime_queue
#self.result = result
self.num = 0
self.maxnum = per_max_num
self.list = list
self.Flcok = Flcok
#self.sqlite=sqlite3.connect('store/qlin.db')
self.urltest = Urltest()
self.htmlparser = Collector()
self.collector = collector()
#初始化home_list
self.home_urls = []
self.inqueue = Queue()
def init_home_urls(self):
'''
得到父地址 作为接口可以被重载
'''
#self.home_urls=self.sqlite.execute('select * from home_urls')
self.home_url = "http://www.cau.edu.cn"
def add_runtime_urls(self, docname, url):
self.Flcok.acquire()
confile = open('store/urltest.txt', 'a+')
confile.write(docname + ' ' + url + '\n')
confile.close()
self.Flcok.release()
def run(self):
'''
运行主程序
'''
opener = urllib2.build_opener()
while True:
print 'queue size:', self.runtime_queue.qsize()
if self.runtime_queue.qsize() == 0:
print 'the queue is empty break the while'
break
#单次运行时url
url = self.runtime_queue.get()
print 'get a url from runtime', url
if url == None:
break
print 'get the url from runtime', url
request = urllib2.Request(url)
request.add_header('Accept-encoding', 'gzip')
#局部未处理url存储
raw_url = []
try:
page = opener.open(request, timeout=2) #设置超时为2s
if page.code == 200:
predata = page.read()
pdata = StringIO.StringIO(predata)
gzipper = gzip.GzipFile(fileobj=pdata)
try:
data = gzipper.read()
except (IOError):
data = predata
try:
if len(data) < 300:
continue
#begain to parse the page
self.htmlparser.init(data)
self.collector.init(data)
except:
print 'not a useful page'
#获取页面中url 加入到inqueue 和 Urlist中
for item in self.htmlparser.get_url():
if item.find('#') < 0:
raw_url.append(item)
self.num += 1
#将已经下载html的url进行存储
docname = self.getName() + str(self.num)
#将链接进行存储e
print 'begain add_runtime_urls'
self.add_runtime_urls(docname, url)
print 'succeed add runtime_urls'
page.close()
if self.num >= self.maxnum:
break
except:
print 'end error'
temHomeUrl = self.urltest.tem_home(url)
print 'begain trans_d'
self.trans_d(temHomeUrl, raw_url)
#将信息进行储存
self.save_doc_content(docname, temHomeUrl)
if self.num > self.maxnum:
for i in self.list:
print i
break
return True
def trans_d(self, tem_home, rawurls):
'''
对地址的处理：
包括 判断url是否为父地址的子页面
将 相对url 转化为 相对url
'''
print 'get tem_home', tem_home
print 'get rawurls', rawurls
while True:
if len(rawurls) > 0:
url = rawurls.pop()
else:
return False
newurl = self.urltest.abs_url_trans(tem_home, url)
if newurl and self.list.find(newurl) == False:
print 'input a url into runtime_queue', newurl
self.runtime_queue.put(newurl)
def save_doc_content(self, docname, tem_home):
'''
将各个节点的内容存入数据库中
'''
print 'begain save_doc_content'
title = self.htmlparser.get_nodes('title')
h1 = self.htmlparser.get_nodes('h1')
h2 = self.htmlparser.get_nodes('h2')
h3 = self.htmlparser.get_nodes('h3')
b = self.htmlparser.get_nodes('b')
a = self.htmlparser.get_as()
content = self.htmlparser.get_content()
f = open('store/document/' + self.name + str(self.num), 'w')
try:
f.write(self.collector.xml(tem_home).toxml())
except:
print 'write the data wrong'
print 'begain to save content in file'
#text=docname+'@chunwei@'+title+'@chunwei@'+a[0]+'@chunwei@'+a[1]+'@chunwei@'+h1+'@chunwei@'+h2+'@chunwei@'+h3+'@chunwei@'+b+'@chunwei@'+content
def __backFind(self, home, s):
thome = home[::-1]
i = thome.find(s)
if i > -1:
return len(home) - i - 1
else:
return False