Commit 68a102b4 authored by 王志伟's avatar 王志伟
parents 20e01904 b49d205c
......@@ -7,7 +7,8 @@ import datetime
my_sender='gaoyazhe@igengmei.com'
my_pass = 'VCrKTui99a7ALhiK'
my_user='gaoyazhe@igengmei.com'
my_user1='gaoyazhe@igengmei.com'
my_user2='zhangyanzhao@igengmei.com'
def mail():
ret=True
try:
......@@ -15,11 +16,11 @@ def mail():
stat_data = f.read()
msg=MIMEText(stat_data,'plain','utf-8')
msg['From']=formataddr(["高雅喆",my_sender])
msg['To']=formataddr(["高雅喆",my_user])
msg['To']=my_user1 + ',' + my_user2
msg['Subject']= str(datetime.date.today())+"-esmm多目标模型训练指标统计"
server=smtplib.SMTP_SSL("smtp.exmail.qq.com", 465)
server.login(my_sender, my_pass)
server.sendmail(my_sender,[my_user,],msg.as_string())
server.sendmail(my_sender,[my_user1,my_user2],msg.as_string())
server.quit()
except Exception:
ret=False
......
#! /bin/bash
cd /srv/apps/ffm-baseline/eda/esmm
git checkout master
PYTHON_PATH=/home/gaoyazhe/miniconda3/bin/python
MODEL_PATH=/srv/apps/ffm-baseline/eda/esmm
DATA_PATH=/home/gmuser/esmm_data
......
......@@ -47,7 +47,6 @@ object Recommendation_strategy_all {
ti.tidbMapTable(dbName = "jerry_prod", tableName = "diary_video")
ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_click")
ti.tidbMapTable(dbName = "jerry_prod", tableName = "blacklist")
ti.tidbMapTable(dbName = "jerry_test", tableName = "bl_device_list")
ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_exposure")
ti.tidbMapTable(dbName = "jerry_prod", tableName = "merge_queue_table")
......@@ -62,12 +61,12 @@ object Recommendation_strategy_all {
|from online.ml_device_day_active_status
|where active_type = '4'
|and first_channel_source_type not in ('yqxiu1','yqxiu2','yqxiu3','yqxiu4','yqxiu5','mxyc1','mxyc2','mxyc3'
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03')
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03','','unknown')
|and partition_date ='${partition_date}'
""".stripMargin
)
......@@ -81,7 +80,6 @@ object Recommendation_strategy_all {
|on jd.device_id = device_id_old.device_id
|where (jd.cid_type = 'diary' or jd.cid_type = 'diary_video')
|and jd.device_id regexp'1$$'
|and jd.device_id not in (select device_id from bl_device_list)
|and jd.device_id not in (select device_id from blacklist)
|and jd.stat_date ='${stat_date}'
""".stripMargin
......@@ -94,7 +92,6 @@ object Recommendation_strategy_all {
|on je.device_id = device_id_old.device_id
|where je.cid_type = 'diary'
|and je.device_id regexp'1$$'
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......@@ -106,7 +103,6 @@ object Recommendation_strategy_all {
|from data_feed_click jd inner join device_id_old
|on jd.device_id = device_id_old.device_id
|where (jd.cid_type = 'diary' or jd.cid_type = 'diary_video')
|and jd.device_id not in (select device_id from bl_device_list)
|and jd.device_id not in (select device_id from blacklist)
|and jd.stat_date ='${stat_date}'
""".stripMargin
......@@ -118,7 +114,6 @@ object Recommendation_strategy_all {
|from data_feed_exposure je inner join device_id_old
|on je.device_id = device_id_old.device_id
|where je.cid_type = 'diary'
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......@@ -140,7 +135,6 @@ object Recommendation_strategy_all {
|from data_feed_click jd inner join device_id_cover_older
|on jd.device_id = device_id_cover_older.device_id
|where (jd.cid_type = 'diary' or jd.cid_type = 'diary_video')
|and jd.device_id not in (select device_id from bl_device_list)
|and jd.device_id not in (select device_id from blacklist)
|and jd.stat_date ='${stat_date}'
""".stripMargin
......@@ -152,7 +146,6 @@ object Recommendation_strategy_all {
|from data_feed_exposure je inner join device_id_cover_older
|on je.device_id = device_id_cover_older.device_id
|where je.cid_type = 'diary'
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......@@ -173,7 +166,6 @@ object Recommendation_strategy_all {
|on je.device_id = device_id_old.device_id
|where je.cid_type = 'diary'
|and je.device_id regexp'1$$'
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......@@ -186,7 +178,6 @@ object Recommendation_strategy_all {
|from data_feed_exposure je inner join device_id_cover_older
|on je.device_id = device_id_cover_older.device_id
|where je.cid_type = 'diary'
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......@@ -212,7 +203,6 @@ object Recommendation_strategy_all {
|on jd.device_id = device_id_old.device_id
|where (jd.cid_type = 'diary' or jd.cid_type = 'diary_video')
|and jd.device_id regexp'1$$'
|and jd.device_id not in (select device_id from bl_device_list)
|and jd.device_id not in (select device_id from blacklist)
|and jd.stat_date ='${stat_date}'
""".stripMargin
......@@ -226,7 +216,6 @@ object Recommendation_strategy_all {
|on je.device_id = device_id_old.device_id
|where je.cid_type = 'diary'
|and je.device_id in (select distinct(device_id) from data_feed_click where device_id regexp '1$$' and stat_date = '${stat_date}')
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......@@ -240,7 +229,6 @@ object Recommendation_strategy_all {
|on jd.device_id = device_id_old.device_id
|where (jd.cid_type = 'diary' or jd.cid_type = 'diary_video')
|and jd.device_id regexp'1$$'
|and jd.device_id not in (select device_id from bl_device_list)
|and jd.device_id not in (select device_id from blacklist)
|and jd.stat_date ='${stat_date}'
""".stripMargin
......@@ -253,7 +241,6 @@ object Recommendation_strategy_all {
|from data_feed_click jd inner join device_id_old
|on jd.device_id = device_id_old.device_id
|where (jd.cid_type = 'diary' or jd.cid_type = 'diary_video')
|and jd.device_id not in (select device_id from bl_device_list)
|and jd.device_id not in (select device_id from blacklist)
|and jd.stat_date ='${stat_date}'
""".stripMargin
......@@ -267,7 +254,6 @@ object Recommendation_strategy_all {
|on je.device_id = device_id_old.device_id
|where je.cid_type = 'diary'
|and je.device_id in (select distinct(device_id) from data_feed_click where stat_date = '${stat_date}')
|and je.device_id not in (select device_id from bl_device_list)
|and je.device_id not in (select device_id from blacklist)
|and je.stat_date ='${stat_date}'
""".stripMargin
......
......@@ -7,6 +7,10 @@ import org.apache.spark.sql.{SaveMode, TiContext}
import org.apache.log4j.{Level, Logger}
import scopt.OptionParser
import com.gmei.lib.AbstractParams
import org.dmg.pmml.True
import scala.util.Try
import scala.util.parsing.json.JSON
object Search_keywords_count {
......@@ -37,6 +41,17 @@ object Search_keywords_count {
)
}
//定义异常捕获
def catch_error(x:String)={
val in =JSON.parseFull(x)
try{
in.toString
}
catch {
case e: ArithmeticException => {e.printStackTrace();e.toString}
}
}
def main(args: Array[String]): Unit = {
parser.parse(args, defaultParams).map { param =>
GmeiConfig.setup(param.env)
......@@ -45,37 +60,44 @@ object Search_keywords_count {
val stat_date = GmeiConfig.getMinusNDate(1) //获取昨日日期
//println(param.date)
val partition_date = stat_date.replace("-","")
//搜索关键词提取
val search_keywords = sc.sql(
s"""
|select params['query'] as search_keywords
|select params as search_keywords
|from online.tl_hdfs_maidian_view
|where (action = 'do_search' or action = 'search_result_click_search')
|and partition_date ='${partition_date}'
|and partition_date ='20190108'
""".stripMargin
)
//搜索次数统计
val search_count = sc.sql(
s"""
|select '${stat_date}' as stat_date,count(params['query']) as search_num
|from online.tl_hdfs_maidian_view
|where (action = 'do_search' or action = 'search_result_click_search')
|and partition_date ='${partition_date}'
""".stripMargin
)
search_count.show()
// search_keywords.show()
val get_result =search_keywords.rdd.map((_, 1)).reduceByKey(_ + _)
.sortBy(_._2,false)
val temp=get_result.collect()
for (i <- 0 until temp.length ) {
println(temp(i))
}
val tempp=search_keywords.collect()
for (i <- 0 until tempp.length ) {
println(tempp(i))
}
// GmeiConfig.writeToJDBCTable(search_keywords, table = "temp_search_keywords", SaveMode.Overwrite)
//搜索次数统计
// val search_count = sc.sql(
// s"""
// |select '${stat_date}' as stat_date,count(params['query']) as search_num
// |from online.tl_hdfs_maidian_view
// |where (action = 'do_search' or action = 'search_result_click_search')
// |and partition_date ='20190107'
// """.stripMargin
// )
// search_count.show()
// val get_result =search_keywords.rdd.map((_, 1)).reduceByKey(_ + _)
// .sortBy(_._2,false)
// val temp=get_result.collect()
// for (i <- 0 until temp.length ) {
// println(temp(i))
// }
}
}
}
\ No newline at end of file
This diff is collapsed.
......@@ -85,12 +85,12 @@ object testt {
|from online.ml_device_day_active_status
|where active_type != '4'
|and first_channel_source_type not in ('yqxiu1','yqxiu2','yqxiu3','yqxiu4','yqxiu5','mxyc1','mxyc2','mxyc3'
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03')
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03','','unknown')
|and partition_date ='${partition_date}'
""".stripMargin
)
......@@ -101,16 +101,18 @@ object testt {
val device_id_oldUser = sc.sql(
s"""
|select distinct(device_id) as device_id
|from online.ml_device_day_active_status
|from online.ml_device_day_active_status os left join blacklist
|on os.device_id=blacklist.device_id
|where active_type = '4'
|and first_channel_source_type not in ('yqxiu1','yqxiu2','yqxiu3','yqxiu4','yqxiu5','mxyc1','mxyc2','mxyc3'
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03')
| ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
| ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
| ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
| ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
| ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
| ,'promotion_shike','promotion_julang_jl03','','unknown')
|and partition_date ='${partition_date}'
|and blacklist.device_id is null
""".stripMargin
)
device_id_oldUser.show()
......
......@@ -22,16 +22,25 @@ def normal():
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select * from device_read_time"
df = con_sql(db, sql)
df = df.rename(columns={0:"device_id",1:"0",2:"1",3:"10",4:"1024",5:"1080",6:"11",
7:"12",8:"13",9:"2",10:"2054",11:"2214",12:"3",13:"4",14:"5",16:"6933",
17:"7",18:"9",19:"922",20:"929",21:"971",22:"992"})
device_id = df[["device_id"]]
df = df.drop("device_id",axis=1)
minMax = MinMaxScaler()
result = minMax.fit_transform(df)
result = device_id.join(result)
df = df.rename(columns={0:"device_id",1:"kongbai",2:"eye",3:"simi",4:"zitizhifang",5:"banyongjiu",6:"teeth",
7:"kouchun",8:"ear",9:"nose",10:"banyongjiuzhuang",11:"qita",12:"lunkuo",
13:"shoushen",14:"skin",16:"shenghuo",
17:"breast",18:"hair",19:"kangshuai",20:"shili",21:"chanhou",22:"zhushe"})
# device_id = df[["device_id"]]
# df = df.drop("device_id",axis=1)
# minMax = MinMaxScaler()
# result = pd.DataFrame(minMax.fit_transform(df),columns=["0","1","10","1024","1080","11",
# "12","13","2","2054","2214","3","4","5","6933",
# "7","9","922","929","971","992"])
# result = device_id.join(result)
l = list(df.columns)
l.remove("device_id")
df["sum"] = df.sum(axis=1)
for i in l:
df[i] = df[i]/df["sum"]
df = df.drop("sum",axis=1)
yconnect = create_engine('mysql+pymysql://root:3SYz54LS9#^9sBvC@10.66.157.22:4000/jerry_test?charset=utf8')
pd.io.sql.to_sql(result, "device_read_time_normal", yconnect, schema='jerry_test', if_exists='fail', index=False)
pd.io.sql.to_sql(df, "device_read_time_normal", yconnect, schema='jerry_test', if_exists='fail', index=False)
if __name__ == "__main__":
......
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