add log

video_recall.py

@@ -40,7 +40,7 @@ class PoolRecall(object):
             top_video_ids, top_video_result = [], []
         else:
             top_video_ids, top_video_result = self.get_top_videos()
-            log_.info('top video result = {}'.format(top_video_ids))
+            log_.info('===top video result = {}'.format(top_video_ids))
 
         # 获取修改过rov的视频
         update_rov_video_ids, update_rov_result = self.get_update_rov_videos()
@@ -388,13 +388,13 @@ class PoolRecall(object):
             video_ids = []
             video_info = {}
             for item in eval(data):
-                # log_.info('=== item === {}'.format(item))
+                log_.info('=== item === {}'.format(item))
                 video_id = int(item['videoId'])
                 # 判断 视频推荐区域与用户地址信息 是否匹配，市级别
                 city_code_list = item['cityCode'].split(',')
                 if self.client_info.get('cityCode') in city_code_list or config_.ALL_AREA_CODE in city_code_list:
-                    # log_.info('===2=== {}, ===3=== video_id: {}, cityCode: {}'.format(
-                    #     self.client_info.get('cityCode'), video_id, city_code_list))
+                    log_.info('===2=== {}, ===3=== video_id: {}, cityCode: {}'.format(
+                        self.client_info.get('cityCode'), video_id, city_code_list))
                     if video_id in video_ids and item['score'] > video_info[video_id].get('score'):
                         # 如果video_id有重复，score保留大分值
                         video_info[video_id] = {'score': item['score'], 'cityCode': city_code_list}