1

recommend/payTopic.py

@@ -53,7 +53,7 @@ def payRecall(skuno,num=100):
             chaji=subtraction(subtraction(final_skus,temp.get('70011')),temp.get('70012'))
             temp['70013']=chaji
             print("加购图关联表召回stop")
-            return temp
+            #return temp
 
     print("ALS相关表召回start",'**'*50)
     als_correlation_change_redis=als_correlation_redis.format(sku_no=skuno).strip()

recommend/publicFunc.py

@@ -39,6 +39,24 @@ def minPriceFill(skus,num=100):
     return temp[:num]
 
 
+
+def execCondition(df,condition,needcolums,orderby=None):
+    '''
+    :param df: dataframe格式
+    :param condition: 字符串，筛选条件
+    :param needcolums: 字符串，需要从df拿到的字段
+    :param orderby: 默认dict格式，如果为空，则不排序。
+    {'ordercolums':XX,'type':XX}.ordercolums表示按照某个字段排序，type表示正排还是倒排
+    :return: 条件筛选后并返回数据
+    '''
+    if orderby:
+        col=orderby.get('ordercolums')
+        isasc=orderby.get('type') or 1
+        return df[eval(condition)].sort_values(by=[col],ascending=isasc)[needcolums].to_list()
+    else:
+        return df[eval(condition)][needcolums].to_list()
+
+
 def skuinfo(sku):
     change_sql=concatSql(skuinfo_sql,**{"sku_no":sku})
     sku_df=execmysl(119,change_sql)

recommend/publicSql.py

@@ -3,6 +3,12 @@ dapan_sql='''
 select id,sku_no,price,cid1,cid2,cid3,brand_name,brand_id from
     offline_recommend.recommend_same_product 
 '''
+
+##根据cid3获取cid2，cid1等数据
+cid1_3_sql="""
+select distinct c_id1,c_id2,c_id3 from kdsp.t_sku_info
+"""
+
 ##商品表
 skuinfo_sql='''
 select id,sku_no,sku_name,price,cid1,cid2,cid3,brand_name,brand_id,source_type from

recommend/searchTopic.py

@@ -21,9 +21,12 @@ def getseed(top10_sku):
     print(sql)
     df=execmysl(119,sql)
     df['cid3']=df['cid3'].astype('string')
+    df['brand_id']=df['brand_id'].astype('string')
     cid3=df.groupby(by=['cid3']).groups.__repr__()#['cid3']#.max()
     brandname=df.groupby(by=['brand_name']).groups.__repr__()
     brandid=df.groupby(by=['brand_id']).groups.__repr__()
+    # print('--',brandid,type(brandid))
+    # print('--',brandname,type(brandid))
     result['cid3']=maxdict(**json.loads(cid3.replace("'",'"')))
     result['brand_name']=maxdict(**json.loads(brandname.replace("'",'"')))
     result['brand_id']=maxdict(**json.loads(brandid.replace("'",'"')))

tools/changeLXQpassword.py

@@ -14,7 +14,7 @@ def modifyPasseord(name,namespace):
     salt_df=pd.read_sql(get_salt,con=conn_db_11)
     temp=salt_df.to_dict(orient='records')
     if not temp:
-        print('[name] is not exist'.format(name=name))
+        print('[{name}] is not exist'.format(name=name))
         return 0
     salt=temp[0]['salt'].encode()
     #salt=b'UwKESe3cvf703Z30' #t_sys_user.salt
@@ -28,4 +28,4 @@ def modifyPasseord(name,namespace):
         print("this is update")
 
 if __name__ == '__main__':
-    modifyPasseord('haiyuan.wen','qa')
+    modifyPasseord('dong.chao','qa')
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