1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
# -*- coding:UTF-8 -*-
# @Time : 2020/9/16 17:41
# @File : new_user_has_protratit_rate.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 meta_base_code.utils.func_from_redis_get_portrait import *
# from pyspark.sql.functions import lit
# import pytispark.pytispark as pti
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')
db = pymysql.connect(host='172.16.50.175', port=3306, user='doris', passwd='o5gbA27hXHHm',
db='doris_olap')
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")
sparkConf.setAppName("new_user_has_protratit_rate")
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").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 = 3
for t in range(2, 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")
tomorrow_str = (datetime.datetime.now() + datetime.timedelta(days=day_num + 1)).strftime("%Y%m%d")
today_str = now.strftime("%Y%m%d")
today_str_format = now.strftime("%Y-%m-%d")
yesterday_str = (now + datetime.timedelta(days=-1)).strftime("%Y%m%d")
yesterday_str_format = (now + datetime.timedelta(days=-1)).strftime("%Y-%m-%d")
one_week_age_str = (now + datetime.timedelta(days=-7)).strftime("%Y%m%d")
new_urser_device_id_sql = r"""
SELECT *
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{partition_day}'
AND partition_date < '{end_date}'
AND ((action in ('search_result_click_recommend_item','search_result_welfare_click_item')
AND page_name in ('search_result_more','search_result_welfare'))
or (action = 'goto_welfare_detail' AND params ['from'] = 'search_result_welfare_recommend')
or (action = 'on_click_card' AND params['card_content_type'] in ('service') AND page_name in ('search_result_more','search_result_welfare')))
UNION ALL
SELECT * FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{partition_day}'
AND partition_date < '{end_date}'
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')))
""".format(partition_day="20210101", end_date="20210225", tomorrow_str=tomorrow_str)
# print(new_urser_device_id_sql)
new_urser_device_id_df = spark.sql(new_urser_device_id_sql)
new_urser_device_id_df.createOrReplaceTempView("device_id_view")
new_urser_device_id_df.show(1)
sql_res = new_urser_device_id_df.collect()
res_list = []
for res in sql_res:
# print(res)
query = res.params.get("query","").replace("\r","").replace("\n","")
card_name = res.params.get("card_name","").replace("\r","").replace("\n","")
card_id = res.params.get("card_id","")
cl_id = res.cl_id
time_str = res.time_str
page_name = res.page_name
res_list.append({"query": query,
"card_name": card_name,
"card_id": card_id,
"cl_id": cl_id,
"time_str": time_str,
"page_name": page_name
})
import pandas
data = pandas.DataFrame(res_list)
data.to_csv("data.csv",encoding="gb18030")
time.sleep(10)
from maintenance.send_email_with_file_auto_task import *
import zipfile
with zipfile.ZipFile("data.zip", 'w',zipfile.ZIP_DEFLATED) as zp:
zp.write("data.csv")
send_file_email("",'',sender="litao@igengmei.com",email_group=["litao@igengmei.com"],email_msg_body_str="test",title_str="test",cc_group=["litao@igengmei.com"],file="data.zip")
# sql_res = new_urser_device_id_df.collect()
# res_dict = {}
# portrait_dict = {
# "first_demands": {},
# "second_demands": {},
# "first_solutions": {},
# "second_solutions": {},
# "first_positions": {},
# "second_positions": {},
# "projects": {},
# 'anecdote_tags':{}
# }
# no_portrait_device_id_list = []
# print("-------------------------------")
# count_not_has_portratit = 0
#
# for count_user_count, res in enumerate(sql_res):
# # print(count, res)
# portratit_res = get_user_portrait_tag3_from_redis(res.device_id)
# sql = """select cl_id, projects from kafka_tag3_log
# where cl_id = '%s' and event_cn = 'kyc' """ % res.device_id
# # print(count_user_count, res, portratit_res)
# sql_res_list = con_sql(sql)
# kyc_str_list= []
# if sql_res_list:
# print(sql_res_list,type(sql_res_list))
# kyc_str_list = sql_res_list[0][1].split(",")
#
# temp_count = 0
# for demand in portratit_res:
# if portratit_res[demand]:
# try:
# for tag in portratit_res[demand][0:3]:
# if tag in portrait_dict[demand]:
# portrait_dict[demand][tag] += 1
# else:
# portrait_dict[demand][tag] = 1
# if tag in kyc_str_list and demand == "projects":
# if portrait_dict["projects"].get(tag):
# portrait_dict["projects"][tag] -= 1
# except Exception as e:
# print("error ", e)
#
# temp_count += 1
# if not temp_count:
# count_not_has_portratit += 1
# no_portrait_device_id_list.append(res.device_id)
#
#
# print(portrait_dict)
# print(count_user_count+1,count_not_has_portratit)
# print("-------------------------------")
#
#
# for protratit_type in portrait_dict["projects"]:
# partition_date = today_str
# pid = hashlib.md5((partition_date + protratit_type).encode("utf8")).hexdigest()
# action_count = portrait_dict["projects"][protratit_type]
#
# instert_sql = """replace into new_user_project_count(
# partition_day,pid,protratit_count,protratit_type) VALUES('{partition_day}','{pid}',{protratit_count},'{protratit_type}');""".format(
# partition_day=today_str, pid=pid, protratit_count=action_count
# , protratit_type=protratit_type
# )
# print(instert_sql)
# # cursor.execute("set names 'UTF8'")
# db = pymysql.connect(host='172.16.50.175', port=3306, user='doris', passwd='o5gbA27hXHHm',
# db='doris_olap')
# cursor = db.cursor()
# res = cursor.execute(instert_sql)
# db.commit()
# print(res)
#