Merge branch 'feature/dnn-rank-demo' of algorithm/recommend-server into master

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/tansform/FGEncoder.java

@@ -1,5 +1,6 @@
 package com.tzld.piaoquan.recommend.server.service.rank.tansform;
 
+import com.alibaba.fastjson.JSON;
 import com.aliyun.openservices.eas.predict.request.TFDataType;
 import com.google.gson.Gson;
 import com.google.gson.reflect.TypeToken;
@@ -82,7 +83,7 @@ public class FGEncoder {
         List<FeatureDef> defs = gson.fromJson(featuresJson, new TypeToken<List<FeatureDef>>() {
         }.getType());
 
-        log.info("FeatureFGEncoder 初始化: {} 个特征", defs.size());
+        log.info("FeatureFGEncoder 初始化: {} 个特征, defs: {}", defs.size(), JSON.toJSONString(defs));
         return defs;
     }
 

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/score/model/PAIModel.java

@@ -64,6 +64,8 @@ public class PAIModel {
             featureKeyTuple.setV4(featureDef.typeCoverToTFDataType());
             featureKeys.add(featureKeyTuple);
         }
+
+        LOGGER.info("featureKeys: {}", JSON.toJSONString(featureKeys));
     }
 
     private void initPredictClient() {
@@ -136,7 +138,7 @@ public class PAIModel {
             }
             return resultMap;
         } catch (Exception e) {
-            LOGGER.error("pai eas error currentName: {}, {}", currentName, JSON.toJSONString(stringFeatureArr), e);
+            LOGGER.error("pai eas error currentName: {}", currentName, e);
             Map<String, List<Float>> resultMap = new HashMap<>();
             for (String scoreKey : scoreKeys) {
                 resultMap.put(scoreKey, Collections.nCopies(size, 0.0f));