ADD LOG

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/strategy/RankStrategy4RegionMergeModelV650.java

@@ -1,5 +1,6 @@
 package com.tzld.piaoquan.recommend.server.service.rank.strategy;
 
+import com.alibaba.fastjson.JSONObject;
 import com.ctrip.framework.apollo.spring.annotation.ApolloJsonValue;
 import com.google.common.reflect.TypeToken;
 import com.tzld.piaoquan.recommend.server.common.base.RankItem;
@@ -101,7 +102,7 @@ public class RankStrategy4RegionMergeModelV650 extends RankService {
         //-------------------序-------------------
         //-------------------逻-------------------
         //-------------------辑-------------------
-
+        log.info("RankStrategy4RegionMergeModelV650 rovRecallRank size:{}", rovRecallRank.size());
         // 1 模型分
         List<String> rtFeaPart = new ArrayList<>();
         List<RankItem> items = model(rovRecallRank, param, rtFeaPart);
@@ -164,6 +165,7 @@ public class RankStrategy4RegionMergeModelV650 extends RankService {
             video.setScoresMap(item.getScoresMap());
             result.add(video);
         }
+        log.info("RankStrategy4RegionMergeModelV650 result {}", JSONObject.toJSONString(result));
         result.sort(Comparator.comparingDouble(o -> -o.getSortScore()));
         return result;
     }

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/strategy/RankStrategy4ShareDeepAndWidth.java

@@ -1,5 +1,6 @@
 package com.tzld.piaoquan.recommend.server.service.rank.strategy;
 
+import com.alibaba.fastjson.JSONObject;
 import com.ctrip.framework.apollo.spring.annotation.ApolloJsonValue;
 import com.google.common.reflect.TypeToken;
 import com.tzld.piaoquan.recommend.server.common.base.RankItem;
@@ -106,6 +107,7 @@ public class RankStrategy4ShareDeepAndWidth extends RankService {
         //-------------------逻-------------------
         //-------------------辑-------------------
 
+        log.info("RankStrategy4ShareDeepAndWidth rovRecallRank size:{}", rovRecallRank.size());
         // 1 模型分
         List<String> rtFeaPart = new ArrayList<>();
         List<RankItem> items = model(rovRecallRank, param, rtFeaPart);
@@ -183,6 +185,7 @@ public class RankStrategy4ShareDeepAndWidth extends RankService {
             video.setScoresMap(item.getScoresMap());
             result.add(video);
         }
+        log.info("RankStrategy4ShareDeepAndWidth result: {}", JSONObject.toJSONString(result));
         result.sort(Comparator.comparingDouble(o -> -o.getSortScore()));
         return result;
     }