多线程百度网盘爬虫Python完整源码

#coding: utf8
 
import re #正则表达式模块
 
import urllib2 #获取URLs的组件
 
import time
 
from Queue import Queue
 
import threading, errno, datetime
 
import json
 
import requests #Requests is an Apache2 Licensed HTTP library
 
import MySQLdb as mdb
 
 
 
DB_HOST = '127.0.0.1'
 
DB_USER = 'root'
 
DB_PASS = ''
 
 
 
 
 
#以下是正则匹配规则
 
re_start = re.compile(r'start=(\d+)') #\d 表示0-9 任意一个数字 后面有+号 说明这个0-9单个数位出现一到多次 比如21312314
 
re_uid = re.compile(r'query_uk=(\d+)') #查询编号
 
re_urlid = re.compile(r'&urlid=(\d+)') #url编号
 
 
 
ONEPAGE = 20 #一页数据量
 
ONESHAREPAGE = 20 #一页分享连接量
 
 
 
#缺少专辑列表
 
URL_SHARE = 'http://yun.baidu.com/pcloud/feed/getsharelist?auth_type=1&start={start}&limit=20&query_uk={uk}&urlid={id}' #获得分享列表
 
URL_FOLLOW = 'http://yun.baidu.com/pcloud/friend/getfollowlist?query_uk={uk}&limit=20&start={start}&urlid={id}' #获得订阅列表
 

URL_FANS = 'http://yun.baidu.com/pcloud/friend/getfanslist?query_uk={uk}&limit=20&start={start}&urlid={id}' # 获取关注列表
 
QNUM = 1000
 
hc_q = Queue(20) #请求队列
 
hc_r = Queue(QNUM) #接收队列
 
success = 0
 
failed = 0
 
 
 
def req_worker(inx): #请求
 
    s = requests.Session() #请求对象
 
    while True:
 
        req_item = hc_q.get() #获得请求项
 
        
 
        req_type = req_item[0] #请求类型，分享?订阅？粉丝？
 
        url = req_item[1] #url
 
        r = s.get(url) #通过url获得数据
 
        hc_r.put((r.text, url)) #将获得数据文本和url放入接收队列
 
        print "req_worker#", inx, url #inx 线程编号； url 分析了的 url
 
        
 
def response_worker(): #处理工作
 
    dbconn = mdb.connect(DB_HOST, DB_USER, DB_PASS, 'baiduyun', charset='utf8')
 
    dbcurr = dbconn.cursor()
 
    dbcurr.execute('SET NAMES utf8')
 
    dbcurr.execute('set global wait_timeout=60000') #以上皆是数据库操作
 
    while True:
 
        """
        #正则备注
        match() 决定 RE 是否在字符串刚开始的位置匹配
        search() 扫描字符串，找到这个 RE 匹配的位置
        findall() 找到 RE 匹配的所有子串，并把它们作为一个列表返回
        finditer() 找到 RE 匹配的所有子串，并把它们作为一个迭代器返回
                  百度页面链接：http://pan.baidu.com/share/link?shareid=3685432306&uk=1798788396&from=hotrec
        uk 其实用户id值
        """
 
        metadata, effective_url = hc_r.get() #获得metadata（也就是前面的r.text）和有效的url
 
        #print "response_worker:", effective_url
 
        try:
 
            tnow = int(time.time()) #获得当前时间
 
            id = re_urlid.findall(effective_url)[0] #获得re_urlid用户编号
 
            start = re_start.findall(effective_url)[0] #获得start用户编号
 
            if True:
 
                if 'getfollowlist' in effective_url: #type = 1，也就是订阅类
 
                    follows = json.loads(metadata) #以将文本数据转化成json数据格式返回
 
                    uid = re_uid.findall(effective_url)[0] #获得re_uid，查询编号
 
                    if "total_count" in follows.keys() and follows["total_count"]>0 and str(start) == "0": #获得订阅数量
 
                        for i in range((follows["total_count"]-1)/ONEPAGE): #开始一页一页获取有用信息
 
                            try:
 
                                dbcurr.execute('INSERT INTO urlids(uk, start, limited, type, status) VALUES(%s, %s, %s, 1, 0)' % (uid, str(ONEPAGE*(i+1)), str(ONEPAGE)))
 
                                #存储url编号，订阅中有用户编号，start表示从多少条数据开始获取，初始status=0为未分析状态
 
                            except Exception as ex:
 
                                print "E1", str(ex)
 
                                pass
 
                    
 
                    if "follow_list" in follows.keys(): #如果订阅者也订阅了，即拥有follow_list
 
                        for item in follows["follow_list"]:
 
                            try:
 
                                dbcurr.execute('INSERT INTO user(userid, username, files, status, downloaded, lastaccess) VALUES(%s, "%s", 0, 0, 0, %s)' % (item['follow_uk'], item['follow_uname'], str(tnow)))
 
                                #存储订阅这的用户编号，用户名，入库时间
 
                            except Exception as ex:
 
                                print "E13", str(ex)
 
                                pass
 
                    else:
 
                        print "delete 1", uid, start
 
                        dbcurr.execute('delete from urlids where uk=%s and type=1 and start>%s' % (uid, start))
 
                elif 'getfanslist' in effective_url: #type = 2,也就是粉丝列表
 
                    fans = json.loads(metadata)
 
                    uid = re_uid.findall(effective_url)[0]
 
                    if "total_count" in fans.keys() and fans["total_count"]>0 and str(start) == "0":
 
                        for i in range((fans["total_count"]-1)/ONEPAGE):
 
                            try:
 
                                dbcurr.execute('INSERT INTO urlids(uk, start, limited, type, status) VALUES(%s, %s, %s, 2, 0)' % (uid, str(ONEPAGE*(i+1)), str(ONEPAGE)))
 
                            except Exception as ex:
 
                                print "E2", str(ex)
 
                                pass
 
                    
 
                    if "fans_list" in fans.keys():
 
                        for item in fans["fans_list"]:
 
                            try:
 
                                dbcurr.execute('INSERT INTO user(userid, username, files, status, downloaded, lastaccess) VALUES(%s, "%s", 0, 0, 0, %s)' % (item['fans_uk'], item['fans_uname'], str(tnow)))
 
                            except Exception as ex:
 
                                print "E23", str(ex)
 
                                pass
 
                    else:
 
                        print "delete 2", uid, start
 
                        dbcurr.execute('delete from urlids where uk=%s and type=2 and start>%s' % (uid, start))
 
                else: #type=0，也即是分享列表
 
                    shares = json.loads(metadata)
 
                    uid = re_uid.findall(effective_url)[0]
 
                    if "total_count" in shares.keys() and shares["total_count"]>0 and str(start) == "0":
 
                        for i in range((shares["total_count"]-1)/ONESHAREPAGE):
 
                            try:
 
                                dbcurr.execute('INSERT INTO urlids(uk, start, limited, type, status) VALUES(%s, %s, %s, 0, 0)' % (uid, str(ONESHAREPAGE*(i+1)), str(ONESHAREPAGE)))
 
                            except Exception as ex:
 
                                print "E3", str(ex)
 
                                pass
 
                    if "records" in shares.keys():
 
                        for item in shares["records"]:
 
                            try:
 
                                dbcurr.execute('INSERT INTO share(userid, filename, shareid, status) VALUES(%s, "%s", %s, 0)' % (uid, item['title'], item['shareid'])) #item['title']恰好是文件名称
 
                                #返回的json信息：
 
                            except Exception as ex:
 
                                #print "E33", str(ex), item
 
                                pass
 
                    else:
 
                        print "delete 0", uid, start
 
                        dbcurr.execute('delete from urlids where uk=%s and type=0 and start>%s' % (uid, str(start)))
 
                dbcurr.execute('delete from urlids where id=%s' % (id, ))
 
                dbconn.commit()
 
        except Exception as ex:
 
            print "E5", str(ex), id
 
    dbcurr.close()
 
    dbconn.close() #关闭数据库
 
    
 
def worker():
 
    global success, failed
 
    dbconn = mdb.connect(DB_HOST, DB_USER, DB_PASS, 'baiduyun', charset='utf8')
 
    dbcurr = dbconn.cursor()
 
    dbcurr.execute('SET NAMES utf8')
 
    dbcurr.execute('set global wait_timeout=60000')
 
    #以上是数据库相关设置
 
    while True:
 
 
 
        #dbcurr.execute('select * from urlids where status=0 order by type limit 1')
 
        dbcurr.execute('select * from urlids where status=0 and type>0 limit 1') #type>0,为非分享列表
 
        d = dbcurr.fetchall()
 
        #每次取出一条数据出来
 
        #print d
 
        if d: #如果数据存在
 
            id = d[0][0] #请求url编号
 
            uk = d[0][1] #用户编号
 
            start = d[0][2]
 
            limit = d[0][3]
 
            type = d[0][4] #哪种类型
 
            dbcurr.execute('update urlids set status=1 where id=%s' % (str(id),)) #状态更新为1，已经访问过了
 
            url = ""
 
            if type == 0: #分享
 
                url = URL_SHARE.format(uk=uk, start=start, id=id).encode('utf-8') #分享列表格式化
 
                #query_uk uk 查询编号
 
                #start
 
                #urlid id url编号
 
            elif  type == 1: #订阅
 
                url = URL_FOLLOW.format(uk=uk, start=start, id=id).encode('utf-8') #订阅列表格式化
 
            elif type == 2: #粉丝
 
                url = URL_FANS.format(uk=uk, start=start, id=id).encode('utf-8') #关注列表格式化
 
            if url:
 
                hc_q.put((type, url)) #如果url存在，则放入请求队列，type表示从哪里获得数据
 
                #通过以上的url就可以获得相应情况下的数据的json数据格式，如分享信息的，订阅信息的，粉丝信息的
 
                
 
            #print "processed", url
 
        else: #否则从订阅者或者粉丝的引出人中获得信息来存储，这个过程是爬虫树的下一层扩展
 
            dbcurr.execute('select * from user where status=0 limit 1000')
 
            d = dbcurr.fetchall()
 
            if d:
 
                for item in d:
 
                    try:
 
                        dbcurr.execute('insert into urlids(uk, start, limited, type, status) values("%s", 0, %s, 0, 0)' % (item[1], str(ONESHAREPAGE)))
 
                        #uk 查询号，其实是用户编号
 
                        #start 从第1条数据出发获取信息
 
                        #
 
                        dbcurr.execute('insert into urlids(uk, start, limited, type, status) values("%s", 0, %s, 1, 0)' % (item[1], str(ONEPAGE)))
 
                        dbcurr.execute('insert into urlids(uk, start, limited, type, status) values("%s", 0, %s, 2, 0)' % (item[1], str(ONEPAGE)))
 
                        dbcurr.execute('update user set status=1 where userid=%s' % (item[1],)) #做个标志，该条数据已经访问过了
 
                        #跟新了分享，订阅，粉丝三部分数据
 
                    except Exception as ex:
 
                        print "E6", str(ex)
 
            else:
 
                time.sleep(1)
 
                
 
        dbconn.commit()
 
    dbcurr.close()
 
    dbconn.close()
 
        
 
def main():
 
    print 'starting at:',now()
 
    for item in range(16):    
 
        t = threading.Thread(target = req_worker, args = (item,))
 
        t.setDaemon(True)
 
        t.start() #请求线程开启，共开启16个线程
 
    s = threading.Thread(target = worker, args = ())
 
    s.setDaemon(True)
 
    s.start() #worker线程开启
 
    response_worker()  #response_worker开始工作
 
    print 'all Done at:', now()  

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