添加了返回错误类产品到回馈表中和进入页面数据置9的功能

main_merge.py

@@ -255,8 +255,29 @@ def param_extract_function(data_table,channel):
     update_table_df.to_excel('update_data_test.xlsx')
     update_table_df.to_sql('Product_Parameter_Process', sql_ZIdatabase.engine, if_exists='append', index=False)
     product_table.to_sql('Product_Api_Data', sql_ZIdatabase.engine, if_exists='append', index=False)
+    update_sku_list = set(list(product_table['SKU']))
+    channel_sql = sql_find(database=f'ZH_{channel}')
+    for sku in update_sku_list:
+        channel_sql.cursor.execute(f"update product_all set state='9' where sku={sku}")
     return update_table_df
 
+def return_error(table):
+    sql_zi_zh = sql_find('zi_zh', False)
+    NowTime = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime())
+    #table = pd.read_excel('api_data/ZH_SN_no_category_data_2019-12-27.xlsx', dtype = {'SKU' : str})
+    table = table[['SKU','产品名称','url','来源']]
+    l = len(table)
+    create_time_list = []
+    remark_list = []
+    for i in range(l):
+        create_time_list.append(NowTime)
+        remark_list.append('类别对应错误')
+    table['remark'] = remark_list
+    table['create_time'] = create_time_list
+
+    table.columns = ['sku','name','url','source','remark','create_time']
+    table.to_sql('API_returnErrorData', sql_zi_zh.engine, if_exists='append', index=False)
+
 class data_fetch():
     def __init__(self, model = 'LXWL_model', localhost = True, source = 'ZH_LXWL'):
         '''
@@ -384,7 +405,10 @@ class data_fetch():
             symbol = 1
 
         self.sql_LXWL.cursor.execute(f"select price from product_price where sku='{sku}'")
+        try:
             price = self.sql_LXWL.cursor.fetchone()[0]
+        except TypeError:
+            price = decimal.Decimal(0)
         data.append(price)
 
         data.append(ZIname)
@@ -500,6 +524,7 @@ class data_fetch():
         data_table.to_excel(f'api_data/{self.source}_data_{StyleTime}.xlsx')
         no_category_table = data_table[data_table['指数子类编码'] == '没有匹配的指数子类编码']
         no_category_table.to_excel(f'api_data/{self.source}_no_category_data_{StyleTime}.xlsx')
+        return_error(no_category_table)
         data_table = data_table[data_table['指数子类编码'] != '没有匹配的指数子类编码']
         #self.data_table_80 = data_table[data_table['指数子类编码'].isin(self.class_80['指数编码'].tolist())]
         #self.data_table_80.to_excel(f'api_data/{self.source}_data_80_{StyleTime}.xlsx')
@@ -508,7 +533,7 @@ class data_fetch():
         return data_table
 
 if __name__ == '__main__':
-    channel = 'OFS'
+    channel = 'SN'
     data_api = data_fetch(model='LXWL_model', localhost=False, source=f'ZH_{channel}')
     data_api_table = data_api.run()
     #param_extract_function(data_api_table,channel)
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test.py

-from lstm_predict import LSTMNER
+import pandas as pd
+import time
+from function import *
 
-model = LSTMNER('0101')
-model.param_extract('联想 ThinkPad E580 ThinkPad E580（02CD）15.6英寸轻薄窄边框笔记本电脑（i5-8250U 8G 256G PCIeSSD+1T 2G独显 FHD）黑色（计价单位：台）')
+def return_error(table):
+    sql_zi_zh = sql_find('zi_zh', False)
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+    NowTime = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime())
+    #table = pd.read_excel('api_data/ZH_SN_no_category_data_2019-12-27.xlsx', dtype = {'SKU' : str})
+    table = table[['SKU','产品名称','url','来源']]
+    l = len(table)
+    create_time_list = []
+    remark_list = []
+    for i in range(l):
+        create_time_list.append(NowTime)
+        remark_list.append('类别对应错误')
+    table['remark'] = remark_list
+    table['create_time'] = create_time_list
+
+    table.columns = ['sku','name','url','source','remark','create_time']
+    table.to_sql('API_returnErrorData', sql_zi_zh.engine, if_exists='append', index=False)
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