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@@ -231,22 +231,25 @@ def func_2(delete_list):
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except:
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except:
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locals()[table_name] = conn.query_df(
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locals()[table_name] = conn.query_df(
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f"select date,SUM(sales14d) as sales14d from AmazonReport.`{table_name}` date >='{check_date}' group by date,profileId")
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f"select date,SUM(sales14d) as sales14d from AmazonReport.`{table_name}` date >='{check_date}' group by date,profileId")
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- locals()[table_name].columns = ['date', 'refer_']
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- locals()[table_name]['refer_'] = locals()[table_name]['refer_'].astype('float64')
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- todayMinus2 = (datetime.today().date() + timedelta(days=-2))
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- reback_21days = (todayMinus2 + timedelta(days=-8)).isoformat()
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- df = pd.date_range(start=reback_21days, end=todayMinus2.isoformat(), freq='1d')
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- df1 = pd.DataFrame(df, columns=['date_'])
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- merge_df = df1.merge(locals()[table_name], left_on=['date_'], right_on=['date'], how='left')
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- rel = merge_df.query("date_!=date or refer_<1 or refer_.isna()")['date_'].map(
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- lambda x: x.date().isoformat()).tolist()
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- print(rel, date_list)
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- if len(rel) > 0:
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- for date in rel:
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- date_list.extend([date])
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- conn = SP_ETL(**AWS_CREDENTIALS).clickhouse_connect()
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- conn.command(
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- f"delete from AmazonReport.`{table_name}` where date='{date}' and profileId='{AWS_CREDENTIALS['profile_id']}'")
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+ try:
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+ locals()[table_name].columns = ['date', 'refer_']
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+ locals()[table_name]['refer_'] = locals()[table_name]['refer_'].astype('float64')
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+ todayMinus2 = (datetime.today().date() + timedelta(days=-2))
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+ reback_21days = (todayMinus2 + timedelta(days=-8)).isoformat()
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+ df = pd.date_range(start=reback_21days, end=todayMinus2.isoformat(), freq='1d')
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+ df1 = pd.DataFrame(df, columns=['date_'])
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+ merge_df = df1.merge(locals()[table_name], left_on=['date_'], right_on=['date'], how='left')
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+ rel = merge_df.query("date_!=date or refer_<1 or refer_.isna()")['date_'].map(
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+ lambda x: x.date().isoformat()).tolist()
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+ print(rel, date_list)
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+ if len(rel) > 0:
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+ for date in rel:
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+ date_list.extend([date])
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+ conn = SP_ETL(**AWS_CREDENTIALS).clickhouse_connect()
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+ conn.command(
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+ f"delete from AmazonReport.`{table_name}` where date='{date}' and profileId='{AWS_CREDENTIALS['profile_id']}'")
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+ except Exception as e:
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+ print(e)
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return date_list
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return date_list
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