def handleUid(self, uid):
uid_stat_t = self.mongoconn["video"]["%s_stat" % (uid)]
uid_daily_t = self.mongoconn["video"]["%s_daily" % (uid)]
#初始化uidinfo类
uidinfObj = UidInfo(self.mysql_conn, self.mongoconn, uid)
"""得到该用户本天统计数据"""
uiddailystat = uid_daily_t.find_one({"_id": self.date})
Nvideo = uiddailystat["Nvideo"]
Load = uiddailystat["Load"]
Play = uiddailystat["Play"]
IP = uiddailystat["IP"]
Engage = uiddailystat["Engage"]
Click = uiddailystat["Click"]
Traffic = uiddailystat["Traffic"]
Geo = uiddailystat["Geo"]
"""计算地域分布数据中完成率"""
for region in Geo:
Geo[region]["Engage"] = operator.itruediv(
float(Geo[region]["EngageSum"]), int(Geo[region]["ClickNum"]))
"""得到该用户截至目前统计信息"""
uidnowstat = uidinfObj.get_uid_info(uid)
#uidnowstat = uid_stat_t.find_one({"_id":uid},{"_id":0,"EngageSum":0})
nowGeo = uidnowstat["Geo"]
nowTraffic = float(uidnowstat["Traffic"])
nowMtraffic = float(uidnowstat["Mtraffic"])
"""时间序列已存储多少天数据"""
#days = redata.llen("%s_date"%(uid)) + 1
"""写数据到redis"""
redpipe = self.redata.pipeline()
redpipe.rpush("%s_date" % (uid), self.date)
redpipe.rpush("%s_UD1" % (uid), Nvideo)
redpipe.rpush("%s_UD2" % (uid), Load)
redpipe.rpush("%s_UD3" % (uid), Play)
redpipe.rpush("%s_UD4" % (uid), IP)
redpipe.rpush("%s_UD5" % (uid), Engage)
redpipe.rpush("%s_UD6" % (uid), Click)
redpipe.rpush("%s_UD7" % (uid), Traffic)
redpipe.rpush("%s_UDD" % (uid), ujson.encode(Geo))
redpipe.set("%s_UH" % (uid), ujson.encode(uidnowstat))
redpipe.set("%s_UDH" % (uid), ujson.encode(nowGeo))
"""
if days > self.daynums:
redpipe.lpop("%s_date"%(uid))
redpipe.lpop("%s_UD1"%(uid))
redpipe.lpop("%s_UD2"%(uid))
redpipe.lpop("%s_UD3"%(uid))
redpipe.lpop("%s_UD4"%(uid))
redpipe.lpop("%s_UD5"%(uid))
redpipe.lpop("%s_UD6"%(uid))
redpipe.lpop("%s_UD7"%(uid))
redpipe.lpop("%s_UDD"%(uid))
"""
redpipe.execute()
uidinfObj.update_usum(uid, uidnowstat)
uidinfObj.update_ugeo(uid, uidnowstat)
def handleUid(self, uid):
uid_stat_t = self.mongoconn[self.mongodbName]["%s_stat" % (uid)]
uid_daily_t = self.mongoconn[self.mongodbName]["%s_daily" % (uid)]
#初始化uidinfo类
uidinfObj = UidInfo(self.mysql_conn, self.mongoconn, uid)
"""得到该用户本天统计数据"""
uiddailystat = uid_daily_t.find_one({"_id": self.date})
Nvideo = uiddailystat["Nvideo"]
Load = uiddailystat["Load"]
Play = uiddailystat["Play"]
IP = uiddailystat["IP"]
Engage = uiddailystat["Engage"]
Click = uiddailystat["Click"]
Traffic = uiddailystat["Traffic"]
Geo = uiddailystat["Geo"]
"""计算地域分布数据中完成率"""
for region in Geo:
Geo[region]["Engage"] = operator.itruediv(
float(Geo[region]["EngageSum"]), int(Geo[region]["ClickNum"]))
"""得到该用户截至目前统计信息"""
uidnowstat = uidinfObj.get_uid_info(uid)
nowGeo = uidnowstat["Geo"]
nowTraffic = float(uidnowstat["Traffic"])
nowMtraffic = float(uidnowstat["Mtraffic"])
"""时间序列已存储多少天数据"""
#days = redata.llen("%s_date"%(uid)) + 1
"""写数据到redis"""
redpipe = self.redata.pipeline()
redpipe.rpush("%s_date" % (uid), self.date)
redpipe.rpush("%s_UD1" % (uid), Nvideo)
redpipe.rpush("%s_UD2" % (uid), Load)
redpipe.rpush("%s_UD3" % (uid), Play)
redpipe.rpush("%s_UD4" % (uid), IP)
redpipe.rpush("%s_UD5" % (uid), Engage)
redpipe.rpush("%s_UD6" % (uid), Click)
redpipe.rpush("%s_UD7" % (uid), Traffic)
redpipe.rpush("%s_UDD" % (uid), ujson.encode(Geo))
redpipe.set("%s_UH" % (uid), ujson.encode(uidnowstat))
redpipe.set("%s_UDH" % (uid), ujson.encode(nowGeo))
#为便于php进行套餐流量统计,将uid用户当天流量和写入redis
datadict = {"date": self.date, "traffic": Traffic}
redpipe.set("%s_traffic" % (uid), ujson.encode(datadict))
"""
if days > self.daynums:
redpipe.lpop("%s_date"%(uid))
redpipe.lpop("%s_UD1"%(uid))
redpipe.lpop("%s_UD2"%(uid))
redpipe.lpop("%s_UD3"%(uid))
redpipe.lpop("%s_UD4"%(uid))
redpipe.lpop("%s_UD5"%(uid))
redpipe.lpop("%s_UD6"%(uid))
redpipe.lpop("%s_UD7"%(uid))
redpipe.lpop("%s_UDD"%(uid))
"""
redpipe.execute()
uidinfObj.update_usum(uid, uidnowstat)
uidinfObj.update_ugeo(uid, uidnowstat)
# --/
# FUNCTION MODULE : COLLECT USER BASE INFORMATION
# USER BASE INFORMATION WRITE TO FILE OF EXECEL,TXT,PDF
# ADD IN 20131210
# --/
uidinfObj.write_zzuinfo_to_file()
def handleUid(self,uid):
uid_stat_t = self.mongoconn["video"]["%s_stat"%(uid)]
uid_daily_t = self.mongoconn["video"]["%s_daily"%(uid)]
#初始化uidinfo类
uidinfObj = UidInfo(self.mysql_conn,self.mongoconn,uid)
"""得到该用户本天统计数据"""
uiddailystat = uid_daily_t.find_one({"_id":self.date})
Nvideo = uiddailystat["Nvideo"]
Load = uiddailystat["Load"]
Play = uiddailystat["Play"]
IP = uiddailystat["IP"]
Engage = uiddailystat["Engage"]
Click = uiddailystat["Click"]
Traffic = uiddailystat["Traffic"]
Geo = uiddailystat["Geo"]
"""计算地域分布数据中完成率"""
for region in Geo:
Geo[region]["Engage"] = operator.itruediv(float(Geo[region]["EngageSum"]), int(Geo[region]["ClickNum"]))
"""得到该用户截至目前统计信息"""
uidnowstat = uidinfObj.get_uid_info(uid)
#uidnowstat = uid_stat_t.find_one({"_id":uid},{"_id":0,"EngageSum":0})
nowGeo = uidnowstat["Geo"]
nowTraffic = float(uidnowstat["Traffic"])
nowMtraffic = float(uidnowstat["Mtraffic"])
"""时间序列已存储多少天数据"""
#days = redata.llen("%s_date"%(uid)) + 1
"""写数据到redis"""
redpipe = self.redata.pipeline()
redpipe.rpush("%s_date"%(uid), self.date)
redpipe.rpush("%s_UD1"%(uid),Nvideo)
redpipe.rpush("%s_UD2"%(uid),Load)
redpipe.rpush("%s_UD3"%(uid),Play)
redpipe.rpush("%s_UD4"%(uid),IP)
redpipe.rpush("%s_UD5"%(uid),Engage)
redpipe.rpush("%s_UD6"%(uid),Click)
redpipe.rpush("%s_UD7"%(uid),Traffic)
redpipe.rpush("%s_UDD"%(uid),ujson.encode(Geo))
redpipe.set("%s_UH"%(uid),ujson.encode(uidnowstat))
redpipe.set("%s_UDH"%(uid),ujson.encode(nowGeo))
"""
if days > self.daynums:
redpipe.lpop("%s_date"%(uid))
redpipe.lpop("%s_UD1"%(uid))
redpipe.lpop("%s_UD2"%(uid))
redpipe.lpop("%s_UD3"%(uid))
redpipe.lpop("%s_UD4"%(uid))
redpipe.lpop("%s_UD5"%(uid))
redpipe.lpop("%s_UD6"%(uid))
redpipe.lpop("%s_UD7"%(uid))
redpipe.lpop("%s_UDD"%(uid))
"""
redpipe.execute()
uidinfObj.update_usum(uid,uidnowstat)
uidinfObj.update_ugeo(uid,uidnowstat)
def handleUid(self,uid):
uid_stat_t = self.mongoconn[self.mongodbName]["%s_stat"%(uid)]
uid_daily_t = self.mongoconn[self.mongodbName]["%s_daily"%(uid)]
#初始化uidinfo类
uidinfObj = UidInfo(self.mysql_conn,self.mongoconn,uid)
"""得到该用户本天统计数据"""
uiddailystat = uid_daily_t.find_one({"_id":self.date})
Nvideo = uiddailystat["Nvideo"]
Load = uiddailystat["Load"]
Play = uiddailystat["Play"]
IP = uiddailystat["IP"]
Engage = uiddailystat["Engage"]
Click = uiddailystat["Click"]
Traffic = uiddailystat["Traffic"]
Geo = uiddailystat["Geo"]
"""计算地域分布数据中完成率"""
for region in Geo:
Geo[region]["Engage"] = operator.itruediv(float(Geo[region]["EngageSum"]), int(Geo[region]["ClickNum"]))
"""得到该用户截至目前统计信息"""
uidnowstat = uidinfObj.get_uid_info(uid)
nowGeo = uidnowstat["Geo"]
nowTraffic = float(uidnowstat["Traffic"])
nowMtraffic = float(uidnowstat["Mtraffic"])
"""时间序列已存储多少天数据"""
#days = redata.llen("%s_date"%(uid)) + 1
"""写数据到redis"""
redpipe = self.redata.pipeline()
redpipe.rpush("%s_date"%(uid), self.date)
redpipe.rpush("%s_UD1"%(uid),Nvideo)
redpipe.rpush("%s_UD2"%(uid),Load)
redpipe.rpush("%s_UD3"%(uid),Play)
redpipe.rpush("%s_UD4"%(uid),IP)
redpipe.rpush("%s_UD5"%(uid),Engage)
redpipe.rpush("%s_UD6"%(uid),Click)
redpipe.rpush("%s_UD7"%(uid),Traffic)
redpipe.rpush("%s_UDD"%(uid),ujson.encode(Geo))
redpipe.set("%s_UH"%(uid),ujson.encode(uidnowstat))
redpipe.set("%s_UDH"%(uid),ujson.encode(nowGeo))
#为便于php进行套餐流量统计,将uid用户当天流量和写入redis
datadict = {"date":self.date,"traffic":Traffic}
redpipe.set("%s_traffic"%(uid),ujson.encode(datadict))
"""
if days > self.daynums:
redpipe.lpop("%s_date"%(uid))
redpipe.lpop("%s_UD1"%(uid))
redpipe.lpop("%s_UD2"%(uid))
redpipe.lpop("%s_UD3"%(uid))
redpipe.lpop("%s_UD4"%(uid))
redpipe.lpop("%s_UD5"%(uid))
redpipe.lpop("%s_UD6"%(uid))
redpipe.lpop("%s_UD7"%(uid))
redpipe.lpop("%s_UDD"%(uid))
"""
redpipe.execute()
uidinfObj.update_usum(uid,uidnowstat)
uidinfObj.update_ugeo(uid,uidnowstat)
# --/
# FUNCTION MODULE : COLLECT USER BASE INFORMATION
# USER BASE INFORMATION WRITE TO FILE OF EXECEL,TXT,PDF
# ADD IN 20131210
# --/
uidinfObj.write_zzuinfo_to_file()
