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							- import pandas as pd
 
- import numpy as np
 
- import datetime
 
- import pymysql
 
- from sqlalchemy import create_engine
 
- # online_con_str = "mysql+pymysql://%s:%s@%s:%d/%s" % ("readonly", "hcst@2021", "139.186.27.96", 4000, "jeecg-boot")
 
- # engine = create_engine(online_con_str, connect_args={'charset': 'utf8'})
 
- # test_con_str = "mysql+pymysql://%s:%s@%s:%d/%s" % ("hcst", "hcst2020", "139.186.151.174", 3306, "jeecg-boot")
 
- # engine = create_engine(test_con_str, connect_args={'charset': 'utf8'})
 
- online_con_str = "mysql+pymysql://%s:%s@%s:%d/%s" % ("hcst", "hcst@2020", "139.186.151.174", 3306, "jeecg-boot")
 
- engine = create_engine(online_con_str, connect_args={'charset': 'utf8'})
 
- # 拼接请求的json
 
- # example: 整个项目近30天内,消耗top10的视频,创建组
 
- account_id = 9556344
 
- request_dict = {}
 
- # 1、读取 客户策略表中 status = 1 的记录 (ctop_ai_kuaishou_advertiser_strategy)
 
- get_advertiser_strategy_sql = """
 
- select * 
 
- from ctop_ai_kuaishou_advertiser_strategy 
 
- where account_id = %d 
 
- and status = 1
 
- """ % account_id
 
- advertiser_strategy_df = pd.read_sql(get_advertiser_strategy_sql, engine)
 
- advertiser_strategy_drop_cols = ['id', 'status', 'create_time', 'effective_time', 'expiry_time']
 
- advertiser_strategy_df.drop(columns=advertiser_strategy_drop_cols, inplace=True)
 
- request_dict['advertiser_strategy_info'] = advertiser_strategy_df.T.to_dict()[0]
 
- # 2、拼接请求的json
 
- # 2.1 获取需要创建广告组所需要的视频
 
- # 调用于蒙的视频接口
 
- # 获取视频方式一
 
- days = 30
 
- num = 10
 
- sql = """
 
- select * from ctop_kuaishou_video_get
 
-         where account_id = %d
 
-         and signature in
 
-         (
 
-         select
 
-             daily_material.signature
 
-         from
 
-         ctop_kuaishou_report_daily_material daily_material
 
-         inner join
 
-         ctop_user_allocation allocation
 
-         on daily_material.account_id = allocation.account_id
 
-         where  allocation.project_id in (select project_id from ctop_user_allocation where account_id = %d)
 
-         and  to_days(now()) - to_days(daily_material.stat_date) <= %d
 
-         and daily_material.signature is not null
 
-         GROUP BY daily_material.signature
 
-         order by sum(daily_material.charge) desc
 
-         limit %d
 
-         )
 
- """ % (account_id, account_id, days, num)
 
- # video_df = pd.read_sql(sql, engine)
 
- # print(video_df.shape)
 
- # 获取视频方式二
 
- # 离线分析手动提取 signature,然后创建广告组
 
- # signature_list = ['f17059ef15d5940a43bd38f9b13dc551', 'c0065cbd882d94c7c0a808db68f73666']
 
- # sql = """
 
- # select * from ctop_kuaishou_video_get
 
- #         where account_id = %d
 
- #         and signature in %s
 
- # """ % (account_id, tuple(signature_list))
 
- # video_df = pd.read_sql(sql, engine)
 
- # print(video_df)
 
- # 2.1 计划层级的参数
 
- campaign_name = "户14-上下滑&信息流-跑量视频-剪辑-低价-低价包邮-活动-年龄18岁以上-单出价-" + \
 
-                 datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
 
- # campaign_id 为空表示需要创建广告计划, 不为空则表示在该广告计划下新增广告组
 
- campaign_dict = {}
 
- campaign_id = None
 
- campaign_dict['campaign_name'] = campaign_name
 
- campaign_dict['campaign_id'] = campaign_id
 
- campaign_dict['campaign_type'] = 2
 
- campaign_dict['day_budget'] = None
 
- campaign_dict['day_budget_schedule'] = None
 
- campaign_dict['operation_type'] = "add"
 
- request_dict['campaign'] = campaign_dict
 
- # 2.2 组层级的参数
 
 
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