update

task/conent_detail_page_grayscale_ctr.py

-# -*- coding:UTF-8 -*-
-# @Time  : 2020/8/20 9:42
-# @File  : recommend_strategy_d.py
-# @email : litao@igengmei.com
-# @author : litao
-
 # -*- coding:UTF-8 -*-
 # @Time  : 2020/8/19 11:53
-# @File  : from_sparksql_to_mysql.py
+# @File  : conent_detail_page_grayscale_ctr.py
 # @email : litao@igengmei.com
 # @author : litao
 import hashlib

task/search_meigou_ctr.py

+# -*- coding:UTF-8 -*-
+# @Time  : 2020/9/4 17:07
+# @File  : search_meigou_ctr.py
+# @email : litao@igengmei.com
+# @author : litao
+
+import hashlib
+import json
+
+import pymysql
+import xlwt, 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='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
+                         db='jerry_prod')
+cursor = db.cursor()
+
+def con_sql(sql):
+    # 从数据库的表里获取数据
+
+    db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
+                         db='jerry_prod')
+    cursor = db.cursor()
+    cursor.execute(sql)
+    result = cursor.fetchall()
+    db.close()
+    return result
+
+
+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.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", 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("prod.tispark.pd.addresses", "172.16.40.170:4000")
+sparkConf.set("prod.tidb.database", "jerry_prod")
+
+spark = (SparkSession.builder.config(conf=sparkConf).config("spark.sql.extensions", "org.apache.spark.sql.TiExtensions")
+         .config("spark.tispark.pd.addresses", "172.16.40.170:2379").appName(
+    "LR PYSPARK TEST").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("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 = 1
+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_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
+ #
+ # """.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_spam_pv_device_id = """
+SELECT T.DEVICE_ID, --设备ID
+       T.CARD_ID, --卡片ID
+       SUM(T.CLICK_NUM) AS CLICK_NUM, --点击次数
+       C.EXPOSURE as EXPOSURE  --曝光次数
+       if(NVL(C.EXPOSURE,0) <> 0 ,cast((NVL(T.CLICK_NUM,0)/NVL(C.EXPOSURE,0)) as decimal(18,5)) , 0) as search_ctr
+  FROM ML.ML_C_ET_CK_CLICK_DIMEN_D T
+ WHERE T.PARTITION_DAY = '{partition_day}'
+   AND T.PAGE_CODE = 'search_result_welfare'
+   AND T.ACTION IN ('goto_welfare_detail','search_result_welfare_click_item')
+ GROUP BY T.DEVICE_ID,
+          T.CARD_ID
+
+    left join 
+ (SELECT T.DEVICE_ID as DEVICE_ID, --设备ID
+        T.CARD_ID as CARD_ID, --卡片ID
+        COUNT(T.CARD_ID) AS EXPOSURE --点击次数
+   FROM ML.MID_ML_C_ET_PE_PRECISEEXPOSURE_DIMEN_D T
+  WHERE T.PARTITION_DAY = '{partition_day}'
+    AND T.PAGE_CODE = 'search_result_welfare'
+    AND T.CARD_TYPE = 'common_card'
+  GROUP BY T.DEVICE_ID,
+           T.CARD_ID) C on T.DEVICE_ID=C.DEVICE_ID and T.CARD_ID = C.CARD_ID
+    """.format(partition_day=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("-------------------------------")
+#     for res in sql_res:
+#         # print(res)
+#         day_id = res.day_id
+#         device_os_type = res.device_os_type
+#         active_type = res.active_type
+#         grey_type = res.grey_type
+#         page_name = res.page_name
+#         content_pv = res.content_pv
+#         content_uv = res.content_uv
+#         wel_exp_pv = res.wel_exp_pv
+#         content_exp_pv = res.content_exp_pv
+#         meigou_ctr=res.meigou_ctr
+#         if not meigou_ctr: meigou_ctr = 0
+#         grey_meigou_ctr=res.grey_meigou_ctr
+#         neirong_ctr=res.neirong_ctr
+#         if not neirong_ctr: neirong_ctr = 0
+#         grey_neirong_ctr=res.grey_neirong_ctr
+#
+#         wel_click_pv = res.wel_click_pv
+#         content_click_pv = res.content_click_pv
+#         slide_wel_click_pv = res.slide_wel_click_pv
+#         self_wel_click_pv = res.self_wel_click_pv
+#         partition_day = res.PARTITION_DAY
+#         pid = hashlib.md5((day_id + device_os_type + active_type + grey_type + page_name).encode("utf8")).hexdigest()
+#         instert_sql = """replace into conent_detail_page_grayscale_ctr(
+#         day_id,device_os_type,active_type,grey_type,page_name,content_pv,content_uv,wel_exp_pv,
+#         content_exp_pv,wel_click_pv,content_click_pv,slide_wel_click_pv,self_wel_click_pv,partition_day,pid,meigou_ctr,neirong_ctr,
+#         grey_meigou_ctr,grey_neirong_ctr) VALUES('{day_id}','{device_os_type}','{active_type}','{grey_type}','{page_name}',{content_pv},{content_uv},
+#         {wel_exp_pv},{content_exp_pv},{wel_click_pv},{content_click_pv},{slide_wel_click_pv},{self_wel_click_pv},'{partition_day}','{pid}',{meigou_ctr},{neirong_ctr},{grey_meigou_ctr},{grey_neirong_ctr});""".format(
+#             day_id=day_id,device_os_type=device_os_type,active_type=active_type,grey_type=grey_type,page_name=page_name,
+#             content_pv=content_pv,content_uv=content_uv,wel_exp_pv=wel_exp_pv,content_exp_pv=content_exp_pv,wel_click_pv=wel_click_pv,
+#             content_click_pv=content_click_pv,slide_wel_click_pv=slide_wel_click_pv,self_wel_click_pv=self_wel_click_pv,meigou_ctr=meigou_ctr,neirong_ctr=neirong_ctr,
+#             partition_day=partition_day, pid=pid,grey_neirong_ctr=grey_neirong_ctr,grey_meigou_ctr=grey_meigou_ctr
+#         )
+#         print(instert_sql)
+#         # cursor.execute("set names 'UTF8'")
+#         res = cursor.execute(instert_sql)
+#         db.commit()
+#         print(res)
+# # cursor.executemany()
+db.close()
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