ad cost

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/RankStrategyXGBAutoUpdateModel688.java

@@ -124,6 +124,7 @@ public class RankStrategyXGBAutoUpdateModel688 extends RankStrategyXGBBasic {
             }
 
             time2 = System.currentTimeMillis();
+            // feature3
             CountDownLatch cdl = new CountDownLatch(adRankItems.size());
             for (AdRankItem item : adRankItems) {
                 ThreadPoolFactory.defaultPool().submit(() -> {
@@ -215,7 +216,7 @@ public class RankStrategyXGBAutoUpdateModel688 extends RankStrategyXGBBasic {
             }
 
             time2 = System.currentTimeMillis();
-
+            // feature3
             CountDownLatch cdl2 = new CountDownLatch(adRankItems.size());
             for (AdRankItem item : adRankItems) {
                 ThreadPoolFactory.defaultPool().submit(() -> {
@@ -238,17 +239,18 @@ public class RankStrategyXGBAutoUpdateModel688 extends RankStrategyXGBBasic {
             }
         }
 
-        // feature3
+
+        // feature4
         long time3 = System.currentTimeMillis();
         // 分桶
         this.readBucketFile();
-        long time31 = System.currentTimeMillis();
+        long time41 = System.currentTimeMillis();
         userFeatureMap = this.featureBucket(userFeatureMap);
         for (AdRankItem adRankItem : adRankItems) {
             Map<String, String> featureMap = adRankItem.getFeatureMap();
             adRankItem.setFeatureMap(this.featureBucket(featureMap));
         }
-        long time4 = System.currentTimeMillis();
+        long time42 = System.currentTimeMillis();
         // 打分排序
         // getScorerPipeline
         List<AdRankItem> result = ScorerUtils.getScorerPipeline(ScorerUtils.XGBOOST_SCORE_CONF_20240909).scoring(sceneFeatureMap, userFeatureMap, adRankItems);
@@ -294,9 +296,10 @@ public class RankStrategyXGBAutoUpdateModel688 extends RankStrategyXGBBasic {
         }
 
         long time6 = System.currentTimeMillis();
-        log.info("cost={}, feature1={}, feature2={}, feature3={}, feature4={}, getScorerPipeline={}, loop={}, " +
-                        "adIdSize={}, adRankItemsSize={}",
-                time6 - start, time1 - start, time2 - time1, time3 - time2, time4 - time3, time5 - time4,
+        log.info("cost={}, feature1={}, feature2={}, feature3={}, feature41={}, feature42={}， getScorerPipeline={}, " +
+                        "loop={}, adIdSize={}, adRankItemsSize={}",
+                time6 - start, time1 - start, time2 - time1, time3 - time2, time41 - time3,
+                time42 - time41, time5 - time42,
                 time6 - time5, request.getAdIdList().size(), adRankItems.size());
 
         result.sort(ComparatorUtil.equalsRandomComparator());