# -*- coding:UTF-8 -*-
# @Time  : 2020/8/21 16:43
# @File  : search_strategy_d.py
# @email : litao@igengmei.com
# @author : litao

import hashlib
import json

import pymysql
# import xlwt
import datetime
# import redis
# from pyhive import hive
# from maintenance.func_send_email_with_file import send_file_email
# from typing import Dict, List
# from elasticsearch_7 import Elasticsearch
# from elasticsearch_7.helpers import scan
# import sys
import time
from pyspark import SparkConf
from pyspark.sql import SparkSession, DataFrame

# from pyspark.sql.functions import lit
# import pytispark.pytispark as pti

db = pymysql.connect(host='172.16.50.175', port=3306, user='doris', passwd='o5gbA27hXHHm',
                     db='doris_olap')
cursor = db.cursor()

startTime = time.time()
sparkConf = SparkConf()
sparkConf.set("spark.sql.crossJoin.enabled", True)
sparkConf.set("spark.debug.maxToStringFields", "100")
# sparkConf.set("spark.tispark.plan.allow_index_double_read", False)
# sparkConf.set("spark.tispark.plan.allow_index_read", True)
sparkConf.set("spark.hive.mapred.supports.subdirectories", True)
sparkConf.set("spark.sql.adaptive.enabled", True)
sparkConf.set("spark.sql.adaptive.skewedJoin.enabled", True)
sparkConf.set("spark.shuffle.statistics.verbose", True)

sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
# sparkConf.set("mapreduce.output.fileoutputformat.compress", False)
# sparkConf.set("mapreduce.map.output.compress", False)
sparkConf.set("prod.gold.jdbcuri",
              "jdbc:mysql://172.16.30.136/doris_prod?user=doris&password=o5gbA27hXHHm&rewriteBatchedStatements=true")
sparkConf.set("prod.mimas.jdbcuri",
              "jdbc:mysql://172.16.30.138/mimas_prod?user=mimas&password=GJL3UJe1Ck9ggL6aKnZCq4cRvM&rewriteBatchedStatements=true")
sparkConf.set("prod.gaia.jdbcuri",
              "jdbc:mysql://172.16.30.143/zhengxing?user=work&password=BJQaT9VzDcuPBqkd&rewriteBatchedStatements=true")
sparkConf.set("prod.tidb.jdbcuri",
              "jdbc:mysql://172.16.40.158:4000/eagle?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
# sparkConf.set("prod.jerry.jdbcuri",
#               "jdbc:mysql://172.16.40.158:4000/jerry_prod?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
# sparkConf.set("prod.tispark.pd.addresses", "172.16.40.158:2379")
sparkConf.set("spark.sql.parquet.compression.codec", "snappy")
# sparkConf.set("prod.tispark.pd.addresses", "172.16.40.170:4000")
# sparkConf.set("prod.tidb.database", "jerry_prod")
# sparkConf.set("spark.executor.extraJavaOptions", "-Djava.library.path=HADOOP_HOME/lib/native")
sparkConf.set("spark.driver.extraLibraryPath", "/opt/hadoop/lib/native")
# sparkConf.set("spark.driver.extraJavaOptions", "-Djava.library.path=HADOOP_HOME/lib/native")

spark = (SparkSession.builder.config(conf=sparkConf).appName(
    "search_strategy_d").enableHiveSupport().getOrCreate())

spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/brickhouse-0.7.1-SNAPSHOT.jar")
spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/hive-udf-1.0-SNAPSHOT.jar")
# spark.sql("ADD JAR /srv/apps/meta_base_code/snappy-java-1.1.2.jar")
spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF'")
spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")

task_list = []
task_days = 5

for t in range(0, task_days):
    day_num = 0 - t
    now = (datetime.datetime.now() + datetime.timedelta(days=day_num))
    last_30_day_str = (now + datetime.timedelta(days=-30)).strftime("%Y%m%d")
    today_str = now.strftime("%Y%m%d")
    yesterday_str = (now + datetime.timedelta(days=-1)).strftime("%Y%m%d")
    one_week_age_str = (now + datetime.timedelta(days=-7)).strftime("%Y%m%d")
    # sql_dev_device_id = """
	# 	SELECT partition_date,device_id
	# 	FROM
	# 	(--找出user_id当天活跃的第一个设备id
	# 	    SELECT user_id,partition_date,
	# 	            if(size(device_list) > 0, device_list [ 0 ], '') AS device_id
	# 	      FROM online.ml_user_updates
	# 	      WHERE partition_date>='{yesterday_str}' AND partition_date<'{today_str}'
	# 	)t1
	# 	JOIN
	# 	(  --医生账号
	# 	    SELECT distinct user_id
	# 	    FROM online.tl_hdfs_doctor_view
	# 	    WHERE partition_date = '{yesterday_str}'
    #
	# 	    --马甲账号/模特用户
	# 	    UNION ALL
	# 	    SELECT user_id
	# 	    FROM ml.ml_c_ct_ui_user_dimen_d
	# 	    WHERE partition_day = '{yesterday_str}'
	# 	    AND (is_puppet = 'true' or is_classifyuser = 'true')
    #
	# 	    UNION ALL
	# 	    --公司内网覆盖用户
	# 	    select distinct user_id
	# 	    from dim.dim_device_user_staff
    #
	# 	    UNION ALL
	# 	    --登陆过医生设备
	# 	    SELECT distinct t1.user_id
	# 	    FROM
	# 	    (
	# 	        SELECT user_id, v.device_id as device_id
	# 	        FROM online.ml_user_history_detail
	# 	            LATERAL VIEW EXPLODE(device_history_list) v AS device_id
	# 	        WHERE partition_date = '{yesterday_str}'
	# 	    )t1
	# 	    JOIN
	# 	    (
	# 	        SELECT device_id
	# 	        FROM online.ml_device_history_detail
	# 	        WHERE partition_date = '{yesterday_str}'
	# 	        AND is_login_doctor = '1'
	# 	    )t2
	# 	        ON t1.device_id = t2.device_id
	# 	)t2
	# 	on t1.user_id=t2.user_id
	# 	group by partition_date,device_id
    #        """.format(yesterday_str=yesterday_str, today_str=today_str)
    # print(sql_dev_device_id)
    # dev_df = spark.sql(sql_dev_device_id)
    # dev_df_view = dev_df.createOrReplaceTempView("dev_view")
    # dev_df.cache()
    # dev_df.show(1)
    # sql_res = dev_df.collect()
    # for res in sql_res:
    #     print(res)

    print("-------------------------------")

    sql_spam_pv_device_id = """
     select distinct device_id
    from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
    where PARTITION_DAY = '{yesterday_str}'
    AND is_abnormal_device = 'true'

 """.format(yesterday_str=yesterday_str)
    print(sql_spam_pv_device_id)
    spam_pv_df = spark.sql(sql_spam_pv_device_id)
    spam_pv_df.createOrReplaceTempView("spam_pv")
    spam_pv_df.show(1)
    sql_res = spam_pv_df.collect()
    spam_pv_df.cache()
    # for res in sql_res:
    #     print(res)

    print("-------------------------------")
    sql = r"""
    SELECT t3.partition_date as partition_date
    		,t3.device_os_type as device_os_type
    		,t3.active_type as active_type
    		,t3.channel as channel
    		,NVL(t3.search_pv,0) as pv
    		,NVL(t3.search_uv,0) as uv
    		,if(NVL(t3.search_uv,0) <> 0 ,cast((NVL(t4.hexin_card_click_pv,0)/NVL(t3.search_uv,0)) as decimal(18,5)) , 0) as search_core_pv
    		,if(NVL(t3.search_uv,0) <> 0 ,cast((NVL(t4.neirong_card_click_pv,0)/NVL(t3.search_uv,0)) as decimal(18,5)) , 0) as search_pv
    FROM
    (--昨天总搜索量
    	SELECT partition_date,active_type,device_os_type,channel,search_pv,search_uv
    	FROM
    	(
    		SELECT t1.partition_date,active_type,device_os_type,channel
    				,count(t1.cl_id) as search_pv
    				,count(distinct t1.cl_id) as search_uv
    		FROM
    		(
    			SELECT partition_date
    					,params['query'] as query
    					,cl_id
    			FROM online.bl_hdfs_maidian_updates
    			WHERE partition_date >= {yesterday_str}
                AND partition_date < {today_str}
    			AND action in ('do_search','search_result_click_search')

    			UNION ALL
                SELECT partition_date,coalesce(params['query'],params['card_name']) as query,cl_id
                FROM online.bl_hdfs_maidian_updates
                WHERE partition_date >= {yesterday_str}
              	AND partition_date < {today_str}
              	AND action = 'on_click_card'
              	AND params['page_name']='search_home'

    			UNION ALL
    			SELECT partition_date
    					,params['card_name'] as query
    					,cl_id
    			FROM online.bl_hdfs_maidian_updates
    			WHERE partition_date >= {yesterday_str}
                AND partition_date < {today_str}
    			AND action = 'on_click_card'
    			AND params['in_page_pos']='猜你喜欢'
    			AND params['tab_name']='精选'
    			AND params['card_type']='search_word'
    			--AND page_name='home' android的page_name为空

    			UNION ALL
    			SELECT partition_date
    					,params['card_name'] as query
    					,cl_id
    			FROM online.bl_hdfs_maidian_updates
    			WHERE partition_date >= {yesterday_str}
                AND partition_date < {today_str}
    			AND action = 'on_click_card'
    			AND page_name='welfare_home'
    			AND params['card_type'] ='search_word'
    			AND params['in_page_pos']='大家都在搜'

    			UNION ALL
    			SELECT partition_date
    					,params['card_name'] as query
    					,cl_id
    			FROM online.bl_hdfs_maidian_updates
    			WHERE partition_date >= {yesterday_str}
                AND partition_date < {today_str}
    			AND int(split(app_version,'\\.')[1]) >= 27
    			AND action='on_click_card'
    			AND params['card_type']='highlight_word'
    		)t1
    		JOIN
    		(
    			SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
                FROM
                (
                    SELECT
                    partition_date,m.device_id
                    ,array(device_os_type ,'合计') as device_os_type
                    ,array(case WHEN active_type = '4'  THEN '老活'
                          WHEN active_type  in ('1','2')  then '新增' END ,'合计') as active_type
                    ,array(CASE WHEN is_ai_channel = 'true' THEN 'AI'  ELSE '其他' END , '合计') as channel
                    FROM online.ml_device_day_active_status m
                    	LEFT JOIN
    	                (SELECT code,is_ai_channel,partition_day
    	                 FROM DIM.DIM_AI_CHANNEL_ZP_NEW
    	                 WHERE partition_day>= {yesterday_str}
    	                 AND partition_day < {today_str}) tmp
    	                ON  m.partition_date=tmp.partition_day AND first_channel_source_type=code
                    WHERE partition_date >= {yesterday_str}
                	AND partition_date < {today_str}
                    AND active_type in ('1','2','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','promotion_zuimei')
    			    AND first_channel_source_type not like 'promotion\_jf\_%'
                ) mas
                LATERAL VIEW explode(mas.channel) t2 AS channel
                LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
                LATERAL VIEW explode(mas.active_type) t2 AS active_type
    		)t2
    		on t1.cl_id=t2.device_id AND t1.partition_date = t2.partition_date

    		LEFT JOIN spam_pv
    		on spam_pv.device_id=t1.cl_id
    		--LEFT JOIN dev_view
    		--on t1.partition_date=dev_view.partition_date and t1.cl_id=dev_view.device_id
    		WHERE (spam_pv.device_id IS NULL or spam_pv.device_id ='')
    		--and (dev_view.device_id is null or dev_view.device_id ='')
    		GROUP BY t1.partition_date,t2.active_type,device_os_type,channel
    	)t
    )t3

    LEFT JOIN
    (--昨天搜索结果页卡片点击pv
    	SELECT t1.partition_date,active_type,device_os_type,channel
    			,sum(hexin) as hexin_card_click_pv
    			,sum(neirong) as neirong_card_click_pv
    	FROM
    	(
    		SELECT NVL(t2.partition_date,t3.partition_date) as partition_date
    		,NVL(t2.cl_id,t3.cl_id) as cl_id
    		,NVL(t2.query,t3.query) as query
    		,NVL(t2.pv,0) as hexin
    		,NVL(t3.pv,0) as neirong
    		FROM
    		(--核心卡片点击
    			SELECT partition_date
    					,params['query'] as query
    					,cl_id
    					,count(1) as pv
    			FROM online.bl_hdfs_maidian_updates
    			WHERE partition_date >= {yesterday_str}
    	        AND partition_date < {today_str}
    			AND ((action in ('search_result_click_recommend_item','search_result_welfare_click_item','search_result_hospital_click_item','search_result_doctor_click_item','on_click_doctor_card', 'on_click_hospital_card')
    					AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
    			 or (action = 'goto_welfare_detail' AND params [ 'from' ] = 'search_result_welfare_recommend')
    			 or (action = 'on_click_card' AND params['card_content_type'] in ('service','hospital','doctor') AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
    			 or (action = 'on_click_button' AND params['button_name'] = 'check_plan' AND page_name = 'search_result_more'))
    			GROUP BY partition_date
    					,params['query']
    					,cl_id
    		)t2
    		FULL JOIN
    		(--内容卡片点击
    			SELECT partition_date
    					,params['query'] as query
    					,cl_id
    					,count(1) as pv
    			FROM online.bl_hdfs_maidian_updates
    			WHERE partition_date >= {yesterday_str}
    	        AND partition_date < {today_str}
    			AND ((action in ('on_click_topic_card','on_click_diary_card','search_result_click_infomation_item')
    					AND page_name in ('search_result_more','search_result_diary','search_result_post'))
    				or (action = 'on_click_card' AND params['card_content_type'] in ('answer','diary') AND page_name in ('search_result_more','search_result_diary','search_result_question_answer')))
    			GROUP BY partition_date
    					,params['query']
    					,cl_id
    		)t3
    		on t3.partition_date=t2.partition_date
    			AND t3.query=t2.query
    			AND t3.cl_id=t2.cl_id
    	)t1
    	JOIN
    	(
    		SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
            FROM
            (
                SELECT
                    partition_date,m.device_id
                    ,array(device_os_type ,'合计') as device_os_type
                    ,array(case WHEN active_type = '4'  THEN '老活'
                          WHEN active_type  in ('1','2')  then '新增' END ,'合计') as active_type
                    ,array(CASE WHEN is_ai_channel = 'true' THEN 'AI'  ELSE '其他' END , '合计') as channel
                    FROM online.ml_device_day_active_status m
                    	LEFT JOIN
    	                (SELECT code,is_ai_channel,partition_day
    	                 FROM DIM.DIM_AI_CHANNEL_ZP_NEW
    	                 WHERE partition_day>= {yesterday_str}
    	                 AND partition_day < {today_str}) tmp
    	                ON  m.partition_date=tmp.partition_day AND first_channel_source_type=code
                    WHERE partition_date >= {yesterday_str}
                	AND partition_date < {today_str}
                    AND active_type in ('1','2','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','promotion_zuimei')
    			    AND first_channel_source_type not like 'promotion\_jf\_%'
            ) mas
            LATERAL VIEW explode(mas.channel) t2 AS channel
            LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
            LATERAL VIEW explode(mas.active_type) t2 AS active_type
    	)dev
    	on t1.cl_id=dev.device_id and t1.partition_date = dev.partition_date
    	LEFT JOIN spam_pv
    	on spam_pv.device_id=t1.cl_id
    	--LEFT JOIN dev_view
    	--on t1.partition_date=dev_view.partition_date and t1.cl_id=dev_view.device_id
    	WHERE (spam_pv.device_id IS NULL or spam_pv.device_id ='')
    	--and (dev_view.device_id is null or dev_view.device_id ='')
    	GROUP BY t1.partition_date,active_type,device_os_type,channel
    )t4
    on t3.partition_date=t4.partition_date and t3.active_type=t4.active_type and t3.device_os_type = t4.device_os_type AND t3.channel = t4.channel

    """.format(today_str=today_str, yesterday_str=yesterday_str)
    device_df = spark.sql(sql)
    device_df.show(1, False)
    sql_res = device_df.collect()
    # for res in sql_res:
    #     print(res)
    device_df.createOrReplaceTempView("data_table")
    #
    # sql = r"""
    #  SELECT t3.partition_date as partition_date
    # 		,t3.device_os_type as device_os_type
    # 		,t3.active_type as active_type
    # 		,t3.channel as channel
    # 		,NVL(t3.search_pv,0) as pv
    # 		,NVL(t3.search_uv,0) as uv
    # 		,if(NVL(t3.search_uv,0) <> 0 ,concat(cast((NVL(t4.hexin_card_click_pv,0)/NVL(t3.search_uv,0)) as decimal(18,2)),'') , '-') as search_core_pv
    # 		,if(NVL(t3.search_uv,0) <> 0 ,concat(cast((NVL(t4.neirong_card_click_pv,0)/NVL(t3.search_uv,0)) as decimal(18,2)),'') , '-') as search_pv
    # FROM
    # (--昨天总搜索量
    # 	SELECT partition_date,active_type,device_os_type,channel,search_pv,search_uv
    # 	FROM
    # 	(
    # 		SELECT t1.partition_date,active_type,device_os_type,channel
    # 				,count(t1.cl_id) as search_pv
    # 				,count(distinct t1.cl_id) as search_uv
    # 		FROM
    # 		(
    # 			SELECT partition_date
    # 					,params['query'] as query
    # 					,cl_id
    # 			FROM online.bl_hdfs_maidian_updates
    # 			WHERE partition_date >= {yesterday_str}
    #             AND partition_date < {today_str}
    # 			AND action in ('do_search','search_result_click_search')
    #
    # 			UNION ALL
    #             SELECT partition_date,params['query'] as query,cl_id
    #             FROM online.bl_hdfs_maidian_updates
    #             WHERE partition_date >= {yesterday_str}
    #           	AND partition_date < {today_str}
    #           	AND action = 'on_click_card'
    #           	AND params['page_name']='search_home'
    #
    # 			UNION ALL
    # 			SELECT partition_date
    # 					,params['card_name'] as query
    # 					,cl_id
    # 			FROM online.bl_hdfs_maidian_updates
    # 			WHERE partition_date >= {yesterday_str}
    #             AND partition_date < {today_str}
    # 			AND action = 'on_click_card'
    # 			AND params['in_page_pos']='猜你喜欢'
    # 			AND params['tab_name']='精选'
    # 			AND params['card_type']='search_word'
    # 			--AND page_name='home' android的page_name为空
    #
    # 			UNION ALL
    # 			SELECT partition_date
    # 					,params['card_name'] as query
    # 					,cl_id
    # 			FROM online.bl_hdfs_maidian_updates
    # 			WHERE partition_date >= {yesterday_str}
    #             AND partition_date < {today_str}
    # 			AND action = 'on_click_card'
    # 			AND page_name='welfare_home'
    # 			AND params['card_type'] ='search_word'
    # 			AND params['in_page_pos']='大家都在搜'
    #
    # 			UNION ALL
    # 			SELECT partition_date
    # 					,params['card_name'] as query
    # 					,cl_id
    # 			FROM online.bl_hdfs_maidian_updates
    # 			WHERE partition_date >= {yesterday_str}
    #             AND partition_date < {today_str}
    # 			AND int(split(app_version,'\\.')[1]) >= 27
    # 			AND action='on_click_card'
    # 			AND params['card_type']='highlight_word'
    # 		)t1
    # 		JOIN
    # 		(
    # 			SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
    #             FROM
    #             (
    #                 SELECT
    #                 partition_date,m.device_id
    #                 ,array(device_os_type ,'合计') as device_os_type
    #                 ,array(case WHEN active_type = '4'  THEN '老活'
    #                       WHEN active_type  in ('1','2')  then '新增' END ,'合计') as active_type
    #                 ,array(CASE WHEN is_ai_channel = 'true' THEN 'AI'  ELSE '其他' END , '合计') as channel
    #                 FROM online.ml_device_day_active_status m
    #                 	LEFT JOIN
    # 	                (SELECT code,is_ai_channel,partition_day
    # 	                 FROM DIM.DIM_AI_CHANNEL_ZP_NEW
    # 	                 WHERE partition_day>= {yesterday_str}
    # 	                 AND partition_day < {today_str}) tmp
    # 	                ON  m.partition_date=tmp.partition_day AND first_channel_source_type=code
    #                 WHERE partition_date >= {yesterday_str}
    #             	AND partition_date < {today_str}
    #                 AND active_type in ('1','2','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','promotion_zuimei')
    # 			    AND first_channel_source_type not like 'promotion\_jf\_%'
    #             ) mas
    #             LATERAL VIEW explode(mas.channel) t2 AS channel
    #             LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
    #             LATERAL VIEW explode(mas.active_type) t2 AS active_type
    # 		)t2
    # 		on t1.cl_id=t2.device_id AND t1.partition_date = t2.partition_date
    #
    # 		LEFT JOIN
    # 		(
    # 		    SELECT DISTINCT device_id
    # 		    FROM ml.ml_d_ct_dv_devicespam_d  --去除机构刷单设备，即作弊设备（浏览和曝光事件去除）
    # 		    WHERE partition_day={yesterday_str}
    #
    # 		    UNION ALL
    # 		    SELECT DISTINCT device_id
    # 		    FROM dim.dim_device_user_staff   --去除内网用户
    # 		)spam_pv
    # 		on spam_pv.device_id=t1.cl_id
    # 		LEFT JOIN
    # 		(
    # 			SELECT partition_date,device_id
    # 			FROM
    # 			(--找出user_id当天活跃的第一个设备id
    # 			    SELECT user_id,partition_date,
    # 			            if(size(device_list) > 0, device_list [ 0 ], '') AS device_id
    # 			      FROM online.ml_user_updates
    # 			      WHERE partition_date>='${{yesterday_str}}' AND partition_date<'${{today_str}}'
    # 			)t1
    # 			JOIN
    # 			(  --医生账号
    # 			    SELECT distinct user_id
    # 			    FROM online.tl_hdfs_doctor_view
    # 			    WHERE partition_date = {yesterday_str}
    #
    # 			    --马甲账号/模特用户
    # 			    UNION ALL
    # 			    SELECT user_id
    # 			    FROM ml.ml_c_ct_ui_user_dimen_d
    # 			    WHERE partition_day = {yesterday_str}
    # 			    AND (is_puppet = 'true' or is_classifyuser = 'true')
    #
    # 			    UNION ALL
    # 			    --公司内网覆盖用户
    # 			    select distinct user_id
    # 			    from dim.dim_device_user_staff
    #
    # 			    UNION ALL
    # 			    --登陆过医生设备
    # 			    SELECT distinct t1.user_id
    # 			    FROM
    # 			    (
    # 			        SELECT user_id, v.device_id as device_id
    # 			        FROM online.ml_user_history_detail
    # 			            LATERAL VIEW EXPLODE(device_history_list) v AS device_id
    # 			        WHERE partition_date = {yesterday_str}
    # 			    )t1
    # 			    JOIN
    # 			    (
    # 			        SELECT device_id
    # 			        FROM online.ml_device_history_detail
    # 			        WHERE partition_date = {yesterday_str}
    # 			        AND is_login_doctor = '1'
    # 			    )t2
    # 			        ON t1.device_id = t2.device_id
    # 			)t2
    # 			on t1.user_id=t2.user_id
    # 			group by partition_date,device_id
    # 		)dev
    # 		on t1.partition_date=dev.partition_date and t1.cl_id=dev.device_id
    # 		WHERE (spam_pv.device_id IS NULL or spam_pv.device_id ='')
    # 		and (dev.device_id is null or dev.device_id ='')
    # 		GROUP BY t1.partition_date,t2.active_type,device_os_type,channel
    # 	)t
    # )t3
    #
    # LEFT JOIN
    # (--昨天搜索结果页卡片点击pv
    # 	SELECT t1.partition_date,active_type,device_os_type,channel
    # 			,sum(hexin) as hexin_card_click_pv
    # 			,sum(neirong) as neirong_card_click_pv
    # 	FROM
    # 	(
    # 		SELECT NVL(t2.partition_date,t3.partition_date) as partition_date
    # 		,NVL(t2.cl_id,t3.cl_id) as cl_id
    # 		,NVL(t2.query,t3.query) as query
    # 		,NVL(t2.pv,0) as hexin
    # 		,NVL(t3.pv,0) as neirong
    # 		FROM
    # 		(--核心卡片点击
    # 			SELECT partition_date
    # 					,params['query'] as query
    # 					,cl_id
    # 					,count(1) as pv
    # 			FROM online.bl_hdfs_maidian_updates
    # 			WHERE partition_date >= {yesterday_str}
    # 	        AND partition_date < {today_str}
    # 			AND ((action in ('search_result_click_recommend_item','search_result_welfare_click_item','search_result_hospital_click_item','search_result_doctor_click_item','on_click_doctor_card', 'on_click_hospital_card')
    # 					AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
    # 			 or (action = 'goto_welfare_detail' AND params [ 'from' ] = 'search_result_welfare_recommend')
    # 			 or (action = 'on_click_card' AND params['card_content_type'] in ('service','hospital','doctor') AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
    # 			 or (action = 'on_click_button' AND params['button_name'] = 'check_plan' AND page_name = 'search_result_more'))
    # 			GROUP BY partition_date
    # 					,params['query']
    # 					,cl_id
    # 		)t2
    # 		FULL JOIN
    # 		(--内容卡片点击
    # 			SELECT partition_date
    # 					,params['query'] as query
    # 					,cl_id
    # 					,count(1) as pv
    # 			FROM online.bl_hdfs_maidian_updates
    # 			WHERE partition_date >= {yesterday_str}
    # 	        AND partition_date < {today_str}
    # 			AND ((action in ('on_click_topic_card','on_click_diary_card','search_result_click_infomation_item')
    # 					AND page_name in ('search_result_more','search_result_diary','search_result_post'))
    # 				or (action = 'on_click_card' AND params['card_content_type'] in ('answer','diary') AND page_name in ('search_result_more','search_result_diary','search_result_question_answer')))
    # 			GROUP BY partition_date
    # 					,params['query']
    # 					,cl_id
    # 		)t3
    # 		on t3.partition_date=t2.partition_date
    # 			AND t3.query=t2.query
    # 			AND t3.cl_id=t2.cl_id
    # 	)t1
    # 	JOIN
    # 	(
    # 		SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
    #         FROM
    #         (
    #             SELECT
    #                 partition_date,m.device_id
    #                 ,array(device_os_type ,'合计') as device_os_type
    #                 ,array(case WHEN active_type = '4'  THEN '老活'
    #                       WHEN active_type  in ('1','2')  then '新增' END ,'合计') as active_type
    #                 ,array(CASE WHEN is_ai_channel = 'true' THEN 'AI'  ELSE '其他' END , '合计') as channel
    #                 FROM online.ml_device_day_active_status m
    #                 	LEFT JOIN
    # 	                (SELECT code,is_ai_channel,partition_day
    # 	                 FROM DIM.DIM_AI_CHANNEL_ZP_NEW
    # 	                 WHERE partition_day>= {yesterday_str}
    # 	                 AND partition_day < {today_str}) tmp
    # 	                ON  m.partition_date=tmp.partition_day AND first_channel_source_type=code
    #                 WHERE partition_date >= {yesterday_str}
    #             	AND partition_date < {today_str}
    #                 AND active_type in ('1','2','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','promotion_zuimei')
    # 			    AND first_channel_source_type not like 'promotion\_jf\_%'
    #         ) mas
    #         LATERAL VIEW explode(mas.channel) t2 AS channel
    #         LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
    #         LATERAL VIEW explode(mas.active_type) t2 AS active_type
    # 	)dev
    # 	on t1.cl_id=dev.device_id and t1.partition_date = dev.partition_date
    # 	LEFT JOIN
    # 	(
    # 	    SELECT DISTINCT device_id
    # 	    FROM ml.ml_d_ct_dv_devicespam_d  --去除机构刷单设备，即作弊设备（浏览和曝光事件去除）
    # 	    WHERE partition_day={yesterday_str}
    #
    # 	    UNION ALL
    # 	    SELECT DISTINCT device_id
    # 	    FROM dim.dim_device_user_staff   --去除内网用户
    # 	)spam_pv
    # 	on spam_pv.device_id=t1.cl_id
    # 	LEFT JOIN
    # 	(
    # 		SELECT partition_date,device_id
    # 		FROM
    # 		(--找出user_id当天活跃的第一个设备id
    # 		    SELECT user_id,partition_date,
    # 		            if(size(device_list) > 0, device_list [ 0 ], '') AS device_id
    # 		      FROM online.ml_user_updates
    # 		      WHERE partition_date>='${{yesterday_str}}' AND partition_date<'${{today_str}}'
    # 		)t1
    # 		JOIN
    # 		(  --医生账号
    # 		    SELECT distinct user_id
    # 		    FROM online.tl_hdfs_doctor_view
    # 		    WHERE partition_date = {yesterday_str}
    #
    # 		    --马甲账号/模特用户
    # 		    UNION ALL
    # 		    SELECT user_id
    # 		    FROM ml.ml_c_ct_ui_user_dimen_d
    # 		    WHERE partition_day = {yesterday_str}
    # 		    AND (is_puppet = 'true' or is_classifyuser = 'true')
    #
    # 		    UNION ALL
    # 		    --公司内网覆盖用户
    # 		    select distinct user_id
    # 		    from dim.dim_device_user_staff
    #
    # 		    UNION ALL
    # 		    --登陆过医生设备
    # 		    SELECT distinct t1.user_id
    # 		    FROM
    # 		    (
    # 		        SELECT user_id, v.device_id as device_id
    # 		        FROM online.ml_user_history_detail
    # 		            LATERAL VIEW EXPLODE(device_history_list) v AS device_id
    # 		        WHERE partition_date = {yesterday_str}
    # 		    )t1
    # 		    JOIN
    # 		    (
    # 		        SELECT device_id
    # 		        FROM online.ml_device_history_detail
    # 		        WHERE partition_date = {yesterday_str}
    # 		        AND is_login_doctor = '1'
    # 		    )t2
    # 		        ON t1.device_id = t2.device_id
    # 		)t2
    # 		on t1.user_id=t2.user_id
    # 		group by t1.partition_date,device_id
    # 	)dev1
    # 	on t1.partition_date=dev1.partition_date and t1.cl_id=dev1.device_id
    # 	WHERE (spam_pv.device_id IS NULL or spam_pv.device_id ='')
    # 	and (dev1.device_id is null or dev1.device_id ='')
    # 	GROUP BY t1.partition_date,active_type,device_os_type,channel
    # )t4
    # on t3.partition_date=t4.partition_date and t3.active_type=t4.active_type and t3.device_os_type = t4.device_os_type AND t3.channel = t4.channel
    #
    #
    #
    #   """.format(today_str=today_str, yesterday_str=yesterday_str, )
    # device_df = spark.sql(sql)
    # device_df.show(1, False)
    # sql_res = device_df.collect()
    # for res in sql_res:
    #     print(res)
    # device_df.createOrReplaceTempView("data_table")
    #
    # collects_sql = """
    # SELECT device_type,active_type,channel_type,ROUND(if(NVL(sum(uv),0) <> 0 ,NVL(sum(search_core_pv),0)/NVL(sum(uv),0) ,0),5) as core_pv_division_uv,
    # ROUND(if(NVL(sum(uv),0) <> 0 ,NVL(sum(search_pv),0)/NVL(sum(uv),0) , 0),5) as pv_division_uv
    # FROM data_table GROUP BY device_type,active_type,channel_type
    # """
    # finnal_df = spark.sql(collects_sql)
    #
    # finnal_df.show(1, False)
    # sql_res = finnal_df.collect()
    for res in sql_res:
        # print(res)
        device_type = res.device_os_type
        active_type = res.active_type
        channel_type = res.channel
        core_pv_division_uv = res.search_core_pv
        pv_division_uv = res.search_pv
        pid = hashlib.md5(
            (today_str + device_type + active_type + channel_type).encode("utf8")).hexdigest()
        instert_sql = """replace into search_strategy_d(
            day_id,device_type,active_type,channel_type,core_pv_division_uv,pv_division_uv,pid
            ) VALUES('{day_id}','{device_type}','{active_type}','{channel_type}',{core_pv_division_uv},{pv_division_uv},'{pid}');""".format(
            day_id=today_str, device_type=device_type,
            active_type=active_type, channel_type=channel_type, core_pv_division_uv=core_pv_division_uv,pv_division_uv=pv_division_uv,pid=pid

        )
        print(instert_sql)
        # cursor.execute("set names 'UTF8'")
        res = cursor.execute(instert_sql)
        db.commit()
        print(res)
db.close()
