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80 lines
3.3 KiB
Python
80 lines
3.3 KiB
Python
from base import Base
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import pandas as pd
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class 精选联盟达人清单(Base):
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def __init__(self):
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super(精选联盟达人清单, self).__init__()
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self.clean_buyin_authorStatData_authorOverviewV2 = 'clean_buyin_authorStatData_authorOverviewV2'
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self.clean_buyin_contact_info = 'clean_buyin_contact_info'
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self.clean_buyin_authorStatData_seekAuthor = 'clean_buyin_authorStatData_seekAuthor'
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self.clean_buyin_authorStatData_authorProfile = 'clean_buyin_authorStatData_authorProfile'
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def export_excel(self, export):
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# 将字典列表转换为DataFrame
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pf = pd.DataFrame(list(export))
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columns = ['抖音账户', '抖音ID', '等级LV', '粉丝数', '地址', '主推类目', '直播带货销售占比', '带货直播场次',
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'带货直播观看人数', '场均销售额', '直播GPM', '视频带货销售额占比', '带货视频数量', '带货视频播放量',
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'单视频销售额', '视频GPM']
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pf.columns = columns
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file_path = pd.ExcelWriter('../file/name.xlsx')
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# 替换空单元格
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pf.fillna(' ', inplace=True)
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# 输出
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pf.to_excel(file_path, index=False)
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# 保存表格
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file_path.close()
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def get_res(self):
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sql = f"""
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SELECT
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nickname as '抖音账户',
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account_douyin as '抖音ID',
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LEVEL as '等级LV',
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fans_sum as '粉丝数',
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city as '地址',
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product_main_type as '主推类目',
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b.`直播带货销售占比`,
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b.`带货直播场次`,
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b.`带货直播观看人数`,
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b.`场均销售额`,
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b.`直播GPM`,
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b.`视频带货销售额占比`,
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b.`带货视频数量`,
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b.`带货视频播放量`,
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b.`单视频销售额`,
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b.`视频GPM`
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FROM
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clean_buyin_authorStatData_authorProfile c
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RIGHT JOIN (
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SELECT
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uid,
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live_data_percentage as '直播带货销售占比',
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live_data_count as '带货直播场次',
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live_data_watching_num as '带货直播观看人数',
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concat_ws('-', live_data_sale_low, live_data_sale_high) as '场均销售额',
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concat_ws('-', live_data_GPM_low, live_data_GPM_high) as '直播GPM',
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video_data_percentage as '视频带货销售额占比',
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video_data_count as '带货视频数量',
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video_data_watching_num as '带货视频播放量',
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concat_ws('-', video_data_sale_low, video_data_sale_high) as '单视频销售额',
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concat_ws('-', video_data_GPM_low, video_data_sale_high) as '视频GPM'
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FROM
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clean_buyin_authorStatData_authorOverviewV2
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) b ON c.uid = b.uid
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ORDER BY
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c.LEVEL DESC
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"""
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res_list = self.eb_supports.query(sql)
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return res_list
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def run(self):
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res_list = self.get_res()
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self.export_excel(res_list)
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if __name__ == '__main__':
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a = 精选联盟达人清单()
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a.run()
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