udapte debug

recommend.py

@@ -483,6 +483,7 @@ def new_video_recommend(request_id, mid, uid, size, top_K, flow_pool_P, app_type
     rank_result= []
     if ab_code==60048 or ab_code==60049:
         rank_ids, add_flow_set = video_new_rank(videoIds=all_recall_list,fast_flow_set=fast_flow_set, flow_set=flow_flow_set,size=size, top_K=top_K, flow_pool_P=float(flow_pool_P))
+        print("rank_ids:", rank_ids)
         for rank_item in rank_ids:
             rank_id = rank_item[0]
             rank_score = rank_item[1]
@@ -494,7 +495,7 @@ def new_video_recommend(request_id, mid, uid, size, top_K, flow_pool_P, app_type
                      'rovScore': rank_score, 'pushFrom': pushFrom,
                      'abCode': ab_code})
         #
-        print("rank_result:", rank_result)
+        #print("rank_result:", rank_result)
     else:
         all_dup_recall_result = region_h_recall+region_day_recall+select_day_recall+no_selected_recall+flow_recall
         rank_result = refactor_video_rank(rov_recall_rank=all_dup_recall_result,fast_flow_set=fast_flow_set, flow_set=flow_flow_set, size=size, top_K=top_K, flow_pool_P=float(flow_pool_P))

video_rank.py

@@ -183,7 +183,7 @@ def video_new_rank(videoIds, fast_flow_set, flow_set, size, top_K, flow_pool_P):
         except Exception:
             video_items.append((videoIds[i], 0.0))
     sort_items = sorted(video_items, key=lambda k: k[1], reverse=True)
-    #print("sort_items:", sort_items)
+    print("sort_items:", sort_items)
     rov_recall_rank = sort_items
     fast_flow_recall_rank = []
     flow_recall_rank = []