add log

recommend.py

@@ -421,7 +421,7 @@ def video_old_recommend(request_id, mid, uid, size, top_K, flow_pool_P, app_type
     #if ab_code=="ab_new_test":
     print("before data:", data)
     rank_result = video_new_rank2(data=data, size=size, top_K=top_K, flow_pool_P=float(flow_pool_P))
-    print(rank_result)
+    #print(rank_result)
 
     result['rankResult'] = rank_result
     result['rankTime'] = (time.time() - start_rank) * 1000

video_rank.py

@@ -613,9 +613,9 @@ def video_new_rank2(data, size, top_K, flow_pool_P):
         vid = recall_item.get("videoId",0)
         vidKeys.append("k_p:" + str(vid))
         recall_list.append(recall_item)
-    # print("vidKeys:", vidKeys)
+    print("vidKeys:", vidKeys)
     video_scores = redisObj.get_batch_key(vidKeys)
-    # print(video_scores)
+    print("video_score:",video_scores)
     for i in range(len(video_scores)):
          try:
             # print(video_scores[i])
@@ -623,6 +623,7 @@ def video_new_rank2(data, size, top_K, flow_pool_P):
                 recall_list[i]['sort_score']= 0.0
             else:
                 video_score_str = json.loads(video_scores[i])
+                print("video_score_str:", video_score_str)
                 recall_list[i]['sort_score'] = video_score_str
          except Exception :
                 recall_list[i]['sort_score'] = 0.0