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import setting # DONE

huangyifan 1 年之前
父节点
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7af7082d14
共有 1 个文件被更改,包括 5 次插入5 次删除
  1. 5 5
      sync_amz_data/public/sp_api_client.py

+ 5 - 5
sync_amz_data/public/sp_api_client.py

@@ -871,14 +871,14 @@ class SpApiRequest:
     def listing_infoTable(cls): # To datatable asj_ads.Goods - Goods表,包括排名,图片,父子关系
         conn = SpApiRequest.Data_auth()
         cursor = conn.cursor()
-        # TODO
-        cursor.execute(f"""select seller_id,country_code,asin,title from asj_ads.seller_listings where title is not null and title <>'' and (seller_id,country_code,asin) in (select seller_id,countryCode,asin from asj_ads.Goods where update_time>='{datetime.today().date()}') group by seller_id,title,country_code,asin order by country_code desc""")
+        #
+        cursor.execute(f"""select seller_id,country_code,asin,title from asj_ads.seller_listings where title is not null and title <>'' and (seller_id,country_code,asin) not in (select seller_id,countryCode,asin from asj_ads.Goods where update_time>='{datetime.today().date()}') group by seller_id,title,country_code,asin order by country_code desc""")
         query_ = cursor.fetchall()
         # print(query_)
         col_name = [i[0] for i in cursor.description]
         df_datatable = pd.DataFrame(query_, columns=col_name)
         count=0
-        distance = 20
+        distance = 50
         print(len(df_datatable))
         while count<len(df_datatable):
             print(f"进度:{round(count / len(df_datatable) * 100, 2)}%")
@@ -1018,9 +1018,9 @@ class SpApiRequest:
 
     @staticmethod
     def Goods_insert(conn,detail_info,detail_info_k): # To datatable asj.Goods
-        print(detail_info)
+        # print(detail_info)
         df = pd.DataFrame(detail_info)
-        print(df.columns)
+        # print(df.columns)
         try:
             cursor = conn.cursor()
         except: