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