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meta_base_code
Commit 69e3d529 authored by litaolemo's avatar litaolemo
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task/spark_temp.py 0 → 100644
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# -*- coding:UTF-8 -*-
# @Time : 2020/11/23 16:15
# @File : spark_temp.py
# @email : litao@igengmei.com
# @author : litao
# -*- 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')
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
device_id_list = [
"861239046925022",
"864326031909959",
"AE0CF229-CA42-4FB9-A556-922BB92D4DDA",
"androidid_b706db3c7857e0e1",
"23E28D73-4431-414F-A5F5-9C763E65AE79",
"E1558B57-6B34-4CE9-ACD5-A3FF480217FD",
"androidid_48215e9a90ba2fa4",
"androidid_ffef45f900806daa",
"androidid_19285fe044f291ca",
"B196E016-BE27-4794-8F48-CB077807C7EA",
"androidid_8f49c518e71596c3",
"3C3BBCCB-2329-46A4-BC52-60C691E0864F",
"A0000075BBCC80",
"androidid_39e90320915dbff8",
"864318033310070",
"869741043800126",
"androidid_a70352493bbf848e",
"864282030853674",
"SLYDU17B17000998",
"867085034663818",
"2BB819FD-846E-4E0D-ABBF-10D9B31B46DB",
"868082033810333",
"861918387179949",
"F68190C3-A4F7-4F77-B92B-D1675A91AA04",
"androidid_66f747ff8b5ad294",
"09F9B8DE-3217-4AA2-AD6E-B69E37639C98",
"865676035722991",
"869880027200059",
"androidid_d07e372946d51fde",
"androidid_f98f737876f770c5",
"860627047292130",
"androidid_146850b35f43e7fb",
"androidid_747f212484a5c406",
"862859043610613",
"866250033462825",
"867911044510576",
"androidid_cc678a7826dc4781",
"860525042509435",
"B4C1FC26-103D-4260-BE6F-3CCB26D73690",
"863600030765864",
"529A3012-876A-45E9-AE69-9A5E313814D7",
"androidid_a537629ff2a9a70d",
"5FA109A8-61EF-485C-A970-BAF039C9FCF1",
"5FA109A8-61EF-485C-A970-BAF039C9FCF1",
"865845043561218",
"866695044598571",
"862550048747274",
"androidid_d165cdfa482e327e",
"androidid_25c4c660defa79ab",
"androidid_f38650fad8e87fd4",
"androidid_044ec3bb5ba9bf76",
"867888052761913",
"881A7673-8D39-42FD-A607-D5D2FA6E31DF",
"860737033974292",
"863377043917341",
"C356D83E-76FB-4C07-B3D4-51ACC1D34468",
"DFFC3F67-F1EA-4391-A03F-A0A79C3B9D7D",
"F9F9CC6F-7645-4000-A886-23065B49F9E5",
"866708047217303",
"A9ECD3B2-5362-49C5-9FE7-A5385D96EBF3",
"androidid_e32e66c299c93df0",
"866092036748937",
"861918032272651",
"868900045007962",
"864427032734758",
"58020E20-E523-4FBA-A786-EE6BC77AA779",
"863187030097126",
"359583071756904",
"862406048703215",
"C18FE468-8B4B-4A5E-B62A-6CCB8672B40C",
"864051046912620",
"20477B01-7089-4152-8648-AB1D3390FF14",
"869908046215913",
"860887046704531",
"FA82A9EB-A099-402C-8587-4F7C84F56D98",
"androidid_12e386c58b4ec5e7",
"androidid_9d8c40e4adcb9ca8",
"865235044638282",
"867492049315758",
"androidid_c58b0a07fcc0fc25",
"androidid_c6b537e3434718c1",
"861448044386810",
"863732034751721",
"866229038673149",
"A6EC8F25-9AD1-4C6D-8A46-DADFDA30283A",
"34C77834-5A8D-46ED-926B-9B16A0532E1C",
"862550048112370",
"866251037046895",
"DE55AEBF-D600-4FEA-BAB7-2ABFC289A05A",
"26ADF574-5276-4AD1-A9C9-5B4ABAC69AE5",
"862502042854069",
"9A483865-679A-4BEC-AA3B-D28CCDA39CD7",
"867135044505614",
"androidid_11e162f7be789b57",
"66DA7B0A-A675-4FE5-9228-C06E9A492377",
"862776043351289",
"863268048958218",
"865914041032364",
"866712036210147",
"867768049331378",
"869996041176545",
"600EE3B0-E7E2-4DB6-B2B4-BE5DDB701413",
"864277030823750",
"52920143-DD14-41FF-9D57-A8DBB0CA2C05",
"867194045037440",
"862341039084418",
"868460049608232",
"A0000068BF2BC3",
"860910047115612",
"androidid_ee3a94ff1a9db02f",
"864080038274814",
"868737058523778",
"869923027428682",
"androidid_cccd788d81581028",
"41AB5124-DAE0-4710-8947-96BE3B8EFDF6",
"863445039676948",
"861293043817617",
"866306042855423",
"862565034725282",
"867216034576797",
"androidid_884dbbb62821503e",
"24FE39DD-779D-4345-BAE8-690E971A3E78",
"androidid_f4e779789dfb9e83",
"546C98BB-B71F-44A2-9E92-CFD5545749B7",
"864401030215730",
"861913031896709",
"C7CA290B-ED40-4B60-92F6-B95246C97E0E",
"androidid_ae7d7a68f73d0afe",
"androidid_bd26308f7ecf65a6",
"866986040057708",
"4811CBD0-68ED-4741-B9B0-AD5D630BDDD9",
"864322039839678",
"androidid_93ab6fee80819254",
"868062043608836",
"865740052303588",
"869146024674872",
"73071440-A108-4A0C-83DF-89EE0E2A8E36",
"863056039643034",
"865099048017194",
"868267048500835",
"androidid_82b46a2a16560146",
"99001025791854",
"47556C2B-F89B-4832-87E7-AF094C5B45C9",
"androidid_c2bff5389dd295ad",
"863139041519093",
"79139CAF-B720-4268-A4A1-E5FF46DA86D6",
"BD435C5F-6149-48B1-9CE6-6756FE200841",
"57E1EA59-4EBD-4C34-9027-8B6A301297AE",
"androidid_becec45595bb1601",
"864555038470520",
"209D69DE-4532-438C-A253-50CAA836B88D",
"863361037410976",
"B97CE764-D064-4953-B359-FA7270B1C1D1",
"866842039173925",
"DE5A0C24-332A-4675-8093-F6EA75674074",
"androidid_c91a73e2dac6624b",
"862217039881773",
"androidid_1d86e484558cbf0c",
"209284E4-6B4F-4121-AD9A-A5E9B5E9E4DB",
"863780047753754",
"androidid_bf2e13c72949d525",
"865632039665090",
"865845036346866",
"androidid_23cab5008504d229",
"androidid_f1736e1eb315783d",
"E1E45249-CA55-4F6E-94FE-73BDEB239790",
"androidid_01a897a5b138f19b",
"869633048267999",
"4F2DD0AE-83BE-4264-A30A-5C44A5684147",
"864550031866147",
"0F85B2D6-5463-47EB-8F5E-187CBFEF5433",
"3629090B-30AB-4C21-821F-4E098A31B4B1",
"865937031773929",
"866356030825326",
"868362034685672",
"F10446B7-7F71-4C02-9AFE-41E0B7FB27C6",
"866525048414154",
"866619049897937",
"868391046063156",
"A00000898F52DE",
"DF8F1D7D-B442-4785-97C2-A7AA4B8BACB9",
"03F7E97A-D1D6-4EF6-8611-15B23C2E4E00",
"androidid_b5ce7fc399b85cf7",
"860737038988347",
"860800039846912",
"866927031655662",
"CFD6D69A-8E25-4E38-8694-2BACF42A8C4A",
"8A7F3130-BE5D-4ABD-8DC9-538DA929341A",
"androidid_bdef3d1e5720c8f0",
"869353043880098",
"031B2BBC-9858-4BB6-BD49-1E01C7815E9A",
"868047041350309",
"863601032130453",
"868889040583194",
"3D6AE98F-3607-4F6B-B2FB-12B5DC3FD2DE",
"androidid_dff61b7437925592",
"393C2D87-0953-4E3B-A786-EF0572E64889",
"864162036168733",
"androidid_d6dfbeadfaceb1e8",
"22CE68E8-B8BA-4609-8019-936BFDA13480",
"861065033361149",
"864358047211377",
"8BA69C39-6BEC-415D-AAF1-4A54E8DC44DB",
"androidid_cc14e534512c7b9b",
"868535046882060",
"8888FE9B-FCD5-49D3-835A-6AFB58C31AAB",
"80B13FDA-F7C2-4698-B86C-21086B22503B",
"androidid_addbf04ade290a87",
"866676048735914",
"866933036565195",
"869234035002059",
"E64447E6-3170-44E6-A79D-47D338552263",
"1C6AC498-0ED2-45E5-A832-959FBBA289D7",
"861064043123953",
"866179039093799",
"867229033491835",
"androidid_3ef435d3d801d977",
"866306044282501",
"867535036711833",
"FE666AC4-5EC6-4E65-8E60-BE073A8150C4",
"860214047711656",
"D594995A-AB27-4480-BE56-87B4CFCD09CD",
"androidid_d6874d4bd27bb281",
"867490043304455",
"868375048629536",
"860281049832160",
"865033047501999",
"868097043087342",
"androidid_ed898afb1d40a3b8",
"868234041864287",
"869894049431998",
"866636031927803",
"FCB4AC46-98DD-4B5B-B4CB-6C90FAA23BFE",
"862951040774573",
"869282047830157",
"862591038527151",
"D5124711-0098-48BE-BD03-CA3A244A85CF",
"androidid_7e8ebfdfd1546006",
"7AC0DFC9-197F-4B72-863B-B3B6E223B852",
"864426049274055",
"867499031719731",
"EAA1F29E-3594-4801-B2B6-BF194B14D528",
"864128033909908",
"864347046808416",
"androidid_cbd7a3f01137e5f6",
"861916041959490",
"866039035923029",
"865281033287079",
"C9937271-0E3F-4423-A497-EB4E38E1CB7D",
"androidid_188e2f4fa6e285b3",
"860492058510551",
"867464039858311",
"C7962EA7-F7FC-49BC-B949-9764A43FA712",
"862986039412413",
"866503030429035",
"21D11FF5-B172-4A42-9DF3-58FACD16275A",
"863486049542498",
"BFEE5B42-30D7-4FC6-B9F7-178378C9B9A5",
"861843030274600",
"androidid_1c361b1840b40e49",
"864165045993355",
"2D2259F7-EC21-4BA8-9A7A-E0A244336094",
"866743049336207",
"androidid_3645e132deda533b",
"862975037151016",
"867673045179476",
"862083037615757",
"androidid_96f653663bb6abff",
"869120048129734",
"CBFC4A91-D9E9-4373-A36D-1C276542D899",
"45BF9F73-254B-4583-9494-681A7475E396",
"EA6A4923-9B0E-42B0-8EBF-CD45171C2A3F",
"androidid_6165eec309d4a51f",
"866320033541348",
"867836038528807",
"863780049463154",
"869647049686569",
"EDC752F9-EAE1-4C66-85BD-9E783749067B",
"860823043871874",
"867768042050132",
"863147035350458",
"863182032403653",
"androidid_ff6aac0e76fde4b1",
"861695037475899",
"02D76AE7-55EF-4A81-A366-FEEF6CFC5683",
"0768EE37-0532-4AE6-8E23-762530357937",
"869437041870670",
"3714CDB4-CB45-4C29-8E56-69FBD751E40C",
"864190047577642",
"93A4B3CA-5A58-424A-BFD5-E396E2D19FE7",
"C9E672B6-6DA9-4569-9A61-4613DB46A4D7",
"868650048032042",
"androidid_6a307ae2412b9c6c",
"865736034460967",
"9FA04B34-14E6-45B0-9454-3497709F7B80",
"867540037027247",
"869939038542717",
"A1000055921BDD",
"864209048571451",
"816EA3D7-652C-43F7-8189-D525B096A4EE",
"862434040179325",
"866413030453086",
"866319030413501",
"92DD6FAF-8018-40FB-8FC0-877AB2CC8056",
"androidid_86b295b102135a56",
"868712030411434",
"860803047071184",
"androidid_576e65ea7343a68a",
"5B24CB58-492F-429D-9CA7-63F9199B924B",
"764F8262-B7DC-41DE-85DF-7DECFF725429",
"A00000639E6695",
"androidid_4cd13f04627cfac8",
"860865048412089",
"B7205E05-03EF-46A9-843D-2D091ECD8107",
"889269DD-8F11-45CC-875E-7F6E9F0797E7",
"865365037969038",
"866722043599226",
"androidid_8ae7063ba4a357d4",
"863049034762230",
"867210049686196",
"F7EC59EA-16D1-4A55-9188-2FECE7769E55",
"androidid_60092285cbd6b421",
"048CCEBA-3502-446F-919C-6072DC0C43B1",
"39525886-7204-436E-A5A0-6E7B2E4EA91C",
"864290041542046",
"861189054147888",
"861868045336599",
"869232037018818",
"6CA84BCB-7547-4E26-B60C-0A8289B14701",
"A0000060111151",
"A0000060111151",
"androidid_2ed1ea8a0f43220a",
"869592030992974",
"55B20246-1660-4455-ABAB-264EE4FD22CF",
"76C70DE8-53A4-4364-B3F3-8C82D76715B4",
"860229040713848",
"androidid_a8c2a4ce4b7377a2",
"866722049279674",
"868198040730197",
"869622036651306",
"DF041C27-575F-4D61-9139-28E5B945BB00",
"androidid_917dfad57c3a4435",
"androidid_bbe2ec45bb86084e",
"866863047262682",
"868452037963315",
"androidid_47587d7f95617914",
"864175030737717",
"9D70D29C-1AA1-4F97-852F-7613031F1733",
"1D4B89E7-0122-44A0-9748-23FE2A825AA1",
"357107073264972",
"androidid_c0e7a6d1877d7a68",
"864955048416515",
"8D57E982-97A5-460D-A94E-BB54657B6C5A",
"AD07FD4F-922B-42CC-AC89-481F2B422AA0",
"androidid_b82f08b86c05b759",
"863054031070751",
"867139044480604",
"46C1F100-524B-4291-AF3B-E106B2228D03",
"F6FD7614-1C2E-4E66-A33F-7B2DAF1B643E",
"860477049577702",
"2527CB72-DD06-4B27-BF0B-65B17C13DECD",
"8C3C812B-9FCE-4826-B6F8-48B05001BEC5",
"F96DDC67-5B66-4DCD-8C5E-18026D4FDE27",
"861351041995759",
"866356042500875",
"A000009689D765",
"861519048538794",
"androidid_fd1674101ee54301",
]
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 t2.device_id as device_id from
(select device_id from online.ml_device_day_active_status where partition_date = '{today_str}' and active_type in (1,2)) t2
LEFT join (
select first_device from online.ml_user_history_detail where partition_date = '{tomorrow_str}' and last_active_date = '{today_str}'
) on first_device = t2.device_id
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='{today_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=t2.device_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='{today_str}'
)t1
JOIN
( --医生账号
SELECT distinct user_id
FROM online.tl_hdfs_doctor_view
WHERE partition_date = '{today_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 = '{today_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 = '{today_str}'
) t1
JOIN
(
SELECT device_id
FROM online.ml_device_history_detail
WHERE partition_date = '{today_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 t2.device_id=dev.device_id
WHERE spam_pv.device_id IS NULL
and dev.device_id is null and first_device is not null
""".format(today_str=today_str, yesterday_str_format=yesterday_str_format, today_str_format=today_str_format,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()
# print("-------------------------------")
# for count, res in enumerate(sql_res):
# # print(count, res)
# track = res.track
# if not track:
# continue
# track_list = track.split(",")
# for one_key_word in track_list:
# if one_key_word in res_dict:
# res_dict[one_key_word] += 1
# else:
# res_dict[one_key_word] = 1
# print(res_dict)
task/spark_test.py
View file @ 69e3d529
...@@ -29,8 +29,10 @@ from meta_base_code.utils.func_from_redis_get_portrait import * ...@@ -29,8 +29,10 @@ from meta_base_code.utils.func_from_redis_get_portrait import *
def con_sql(sql): def con_sql(sql):
# 从数据库的表里获取数据 # 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 = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
db='jerry_prod') # db='jerry_prod')
db = pymysql.connect(host='172.16.30.136', port=3306, user='doris', passwd='o5gbA27hXHHm',
db='doris_prod')
cursor = db.cursor() cursor = db.cursor()
cursor.execute(sql) cursor.execute(sql)
result = cursor.fetchall() result = cursor.fetchall()
...@@ -76,6 +78,8 @@ spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDF ...@@ -76,6 +78,8 @@ spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDF
task_list = [] task_list = []
task_days = 3 task_days = 3
for t in range(2, task_days): for t in range(2, task_days):
day_num = 0 - t day_num = 0 - t
now = (datetime.datetime.now() + datetime.timedelta(days=day_num)) now = (datetime.datetime.now() + datetime.timedelta(days=day_num))
...@@ -182,15 +186,20 @@ WHERE spam_pv.device_id IS NULL ...@@ -182,15 +186,20 @@ WHERE spam_pv.device_id IS NULL
for count_user_count, res in enumerate(sql_res): for count_user_count, res in enumerate(sql_res):
# print(count, res) # print(count, res)
portratit_res = get_user_portrait_tag3_from_redis(res.device_id) 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' """
# print(count_user_count, res, portratit_res) # print(count_user_count, res, portratit_res)
sql_res_list = con_sql(sql)
kyc_str_list= []
if sql_res:
print(sql_res,type(sql_res))
kyc_str_list = sql_res_list[0][1].split(",")
temp_count = 0 temp_count = 0
for demand in portratit_res: for demand in portratit_res:
if portratit_res[demand]: if portratit_res[demand]:
try: try:
for tag in portratit_res[demand][0:3]: for tag in portratit_res[demand][0:3]:
if tag == "吸脂瘦下颌缘" and demand == "projects":
print(res.device_id)
if tag in portrait_dict[demand]: if tag in portrait_dict[demand]:
portrait_dict[demand][tag] += 1 portrait_dict[demand][tag] += 1
else: else:
...@@ -203,33 +212,35 @@ WHERE spam_pv.device_id IS NULL ...@@ -203,33 +212,35 @@ WHERE spam_pv.device_id IS NULL
if not temp_count: if not temp_count:
count_not_has_portratit += 1 count_not_has_portratit += 1
no_portrait_device_id_list.append(res.device_id) no_portrait_device_id_list.append(res.device_id)
for key in kyc_str_list:
portrait_dict["projects"][key] -= 1
print(portrait_dict) print(portrait_dict)
print(count_user_count+1,count_not_has_portratit) print(count_user_count+1,count_not_has_portratit)
print("-------------------------------") print("-------------------------------")
# for protratit_type in portrait_dict["projects"]: for protratit_type in portrait_dict["projects"]:
# partition_date = today_str partition_date = today_str
# pid = hashlib.md5((partition_date + protratit_type).encode("utf8")).hexdigest() pid = hashlib.md5((partition_date + protratit_type).encode("utf8")).hexdigest()
# action_count = portrait_dict["projects"][protratit_type] action_count = portrait_dict["projects"][protratit_type]
#
# instert_sql = """replace into new_user_project_count( 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,pid,protratit_count,protratit_type) VALUES('{partition_day}','{pid}',{protratit_count},'{protratit_type}');""".format(
# partition_day=today_str, pid=pid, protratit_count=action_count partition_day=today_str, pid=pid, protratit_count=action_count
# , protratit_type=protratit_type , protratit_type=protratit_type
# ) )
# print(instert_sql) print(instert_sql)
# # cursor.execute("set names 'UTF8'") # cursor.execute("set names 'UTF8'")
# db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy', db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
# db='jerry_prod') db='jerry_prod')
# cursor = db.cursor() cursor = db.cursor()
# res = cursor.execute(instert_sql) res = cursor.execute(instert_sql)
# db.commit() db.commit()
# print(res) print(res)
# cursor.executemany() cursor.executemany()
# db.close() db.close()
......
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