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@@ -389,11 +389,11 @@ class SpApiRequest:
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temp = df_rel.query("""listing_id==@listing_id and asin==@asin and sku==@sku and quantity==@quantity and fulfillment_channel==@fulfillment_channel and price==@price and product_id==@product_id and country_code==@country_code and seller_id==@seller_id and title==@title and image_link==@imageurl""")
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temp = df_rel.query("""listing_id==@listing_id and asin==@asin and sku==@sku and quantity==@quantity and fulfillment_channel==@fulfillment_channel and price==@price and product_id==@product_id and country_code==@country_code and seller_id==@seller_id and title==@title and image_link==@imageurl""")
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print("需要关注数据(是否异常):",len(temp),temp.to_numpy().tolist()) if len(temp)>1 else 1
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print("需要关注数据(是否异常):",len(temp),temp.to_numpy().tolist()) if len(temp)>1 else 1
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if len(temp)>1:
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if len(temp)>1:
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- temp = temp.head(1).to_numpy().tolist()
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+ # temp = temp.head(1).to_numpy().tolist()
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df_data = df_data.append(temp_df, ignore_index=True)
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df_data = df_data.append(temp_df, ignore_index=True)
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delete_list.append((seller_id, marketplace_id, sku, listing_id, product_id))
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delete_list.append((seller_id, marketplace_id, sku, listing_id, product_id))
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# print(len(temp))
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# print(len(temp))
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- if len(temp)==0:
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+ elif len(temp)==0:
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df_data = df_data.append(temp_df,ignore_index=True)
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df_data = df_data.append(temp_df,ignore_index=True)
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delete_list.append((seller_id,marketplace_id,sku,listing_id,product_id))
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delete_list.append((seller_id,marketplace_id,sku,listing_id,product_id))
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row += 1
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row += 1
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@@ -682,8 +682,7 @@ class SpApiRequest:
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"timezone","seller_id","country_code"
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"timezone","seller_id","country_code"
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]
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]
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list_df = decom_df[reserve_columns].to_numpy().tolist()
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list_df = decom_df[reserve_columns].to_numpy().tolist()
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- # print(list_df)
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- # print(list_df[0])
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+
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# tuple_data = [tuple(i) for i in list_df]
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# tuple_data = [tuple(i) for i in list_df]
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conn = self.mysql_connect()
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conn = self.mysql_connect()
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cursor = conn.cursor()
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cursor = conn.cursor()
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