change sql for test

diaryQueueUpdate.py

@@ -236,7 +236,8 @@ if __name__ == "__main__":
         old_device_id_list = pd.read_csv(DIRECTORY_PATH + "data_set_device_id.csv")["device_id"].values.tolist()
         # 求活跃用户和老用户的交集，也就是只预测老用户
         predict_list = list(set(device_id_list) & set(old_device_id_list))
-        predict_list.append("65EC6C14-1AD6-44C2-AED2-C41452284E91")
+        predict_list.extend(["B2F0665E-4375-4169-8FE3-8A26A1CFE248","AB20292B-5D15-4C44-9429-1C2FF5ED26F6","358035085192742"])
+
         # 只预测尾号是6的ID，这块也可以在数据库取数据时过滤一下
         # predict_list = list(filter(lambda x:str(x)[-1] == "6", predict_list))
         start = time.time()
@@ -252,7 +253,7 @@ if __name__ == "__main__":
         print("在不在")
         print("358035085192742" in predict_list)
         print("AB20292B-5D15-4C44-9429-1C2FF5ED26F6" in predict_list)
-        print("65EC6C14-1AD6-44C2-AED2-C41452284E91" in predict_list)
+        print("B2F0665E-4375-4169-8FE3-8A26A1CFE248" in predict_list)
         print(predict_list)
         print(end - start)
 

userProfile.py

@@ -7,7 +7,7 @@ def get_active_users():
     now = datetime.now()
     now_start = str(now)[:16] + ":00"
     now_end = str(now)[:16] + ":59"
-    sql = "select device_id from user_active_time order by active_time desc limit 100;"
+    sql = "select device_id from user_active_time order by active_time desc limit 1;"
     # sql = "select device_id from user_active_time " \
     #       "where active_time <= '{}' and active_time >= '{}'".format(now_end,now_start)
     device_id_df = con_sql(sql)