add print

diaryQueueUpdate.py

@@ -244,12 +244,11 @@ if __name__ == "__main__":
     # 增加缓存日记视频列表
     cache_video_id = []
     cache_device_city_list = []
-    # while True:
+    while True:
         data_set_cid = pd.read_csv(DIRECTORY_PATH + "data_set_cid.csv")["cid"].values.tolist()
         total_video_id = get_video_id(cache_video_id)
         cache_video_id = total_video_id
-    # device_city_list = get_active_users()
-    device_city_list = [("AB20292B-5D15-4C44-9429-1C2FF5ED26F6","beijing"),]
+        device_city_list = get_active_users()
         # 过滤掉上次预测过的用户
         device_city_list = list(set(device_city_list)-set(cache_device_city_list))
         cache_device_city_list = device_city_list

utils.py

@@ -51,10 +51,10 @@ def con_sql(sql):
 def queue_compare(old_list, new_list):
     # 去掉前面的"diary|"
     old_list = list(map(lambda x: int(x[6:]),old_list))
-    print("旧表前十个")
-    print(old_list[:10])
-    print("新表前十个")
-    print(new_list[:10])
+    # print("旧表前十个")
+    # print(old_list[:10])
+    # print("新表前十个")
+    # print(new_list[:10])
     temp = list(range(len(old_list)))
     x_dict = dict(zip(old_list, temp))
     temp = list(range(len(new_list)))
@@ -63,7 +63,7 @@ def queue_compare(old_list, new_list):
     for key in x_dict.keys():
         if x_dict[key] != y_dict[key]:
             i += 1
-
+    if i >0:
         print("日记队列更新前日记总个数{}，位置发生变化个数{}，发生变化率{}%".format(len(old_list), i,
                                                           round(i / len(old_list) * 100), 2))