feat:同步563代码

recommend-server-service/src/main/java/com/tzld/piaoquan/recommend/server/service/rank/strategy/RankStrategy4RegionMergeModelV562.java

@@ -1,6 +1,7 @@
 package com.tzld.piaoquan.recommend.server.service.rank.strategy;
 
 import com.ctrip.framework.apollo.spring.annotation.ApolloJsonValue;
+import com.google.common.collect.Maps;
 import com.google.common.reflect.TypeToken;
 import com.tzld.piaoquan.recommend.server.common.ThreadPoolFactory;
 import com.tzld.piaoquan.recommend.server.common.base.RankItem;
@@ -14,10 +15,14 @@ import com.tzld.piaoquan.recommend.server.util.CommonCollectionUtils;
 import com.tzld.piaoquan.recommend.server.util.JSONUtils;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.MapUtils;
+import org.apache.commons.lang3.StringUtils;
 import org.apache.commons.math3.util.Pair;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
+import java.io.BufferedReader;
+import java.io.InputStream;
+import java.io.InputStreamReader;
 import java.util.*;
 import java.util.concurrent.Future;
 import java.util.concurrent.TimeUnit;
@@ -30,6 +35,9 @@ public class RankStrategy4RegionMergeModelV562 extends RankStrategy4RegionMergeM
     @ApolloJsonValue("${rank.score.merge.weightv562:}")
     private Map<String, Double> mergeWeight;
 
+    private Map<Pair<Double, Double>, Pair<Double, Double>> strPlusCalibrationCoefficientMap = Maps.newLinkedHashMap();
+
+
     @Autowired
     private FeatureService featureService;
 
@@ -330,7 +338,8 @@ public class RankStrategy4RegionMergeModelV562 extends RankStrategy4RegionMergeM
             double score;
             double fmRovOrigin = item.getScoreRov();
             item.getScoresMap().put("fmRovOrigin", fmRovOrigin);
-            double fmRov = restoreScore(fmRovOrigin);
+            // double fmRov = restoreScore(fmRovOrigin);
+            double fmRov = this.fmRovRestoreAndCalibration(item);
             item.getScoresMap().put("fmRov", fmRov);
             double hasReturnRovScore = this.calcHasReturnRovScore(vid2MapFeature.getOrDefault(item.getVideoId() + "", new HashMap<>()), param.getHotSceneType().toString(), item);
             item.getScoresMap().put("hasReturnRovScore", hasReturnRovScore);
@@ -388,4 +397,65 @@ public class RankStrategy4RegionMergeModelV562 extends RankStrategy4RegionMergeM
             return 0;
         }
     }
+
+    private double fmRovRestoreAndCalibration(RankItem item) {
+        double fmRovOrigin = item.getScoreRov();
+        // fmRov采样恢复
+        double fmRov = restoreScore(fmRovOrigin);
+        item.getScoresMap().put("fmRovRestore", fmRov);
+        try {
+            readCalibrationFile();
+
+            for (Map.Entry<Pair<Double, Double>, Pair<Double, Double>> entry : strPlusCalibrationCoefficientMap.entrySet()) {
+                Pair<Double, Double> region = entry.getKey();
+                if (fmRov > region.getFirst() && fmRov <= region.getSecond()) {
+                    item.getScoresMap().put("fmRovCalibrationCoefficient", entry.getValue().getSecond());
+                    return fmRov * entry.getValue().getSecond();
+                }
+            }
+        } catch (Exception e) {
+            log.info("[562 exp] str plus calibration error: {}", fmRov, e);
+        }
+        return fmRov;
+    }
+
+    private void readCalibrationFile() {
+        if (MapUtils.isNotEmpty(strPlusCalibrationCoefficientMap)) {
+            return;
+        }
+        synchronized (this) {
+            if (MapUtils.isNotEmpty(strPlusCalibrationCoefficientMap)) {
+                return;
+            }
+            InputStream resourceStream = RankStrategy4RegionMergeModelV562.class.getClassLoader().getResourceAsStream("562_calibration_coefficient.txt");
+            if (Objects.isNull(resourceStream)) {
+                log.error("[562 exp] read calibration file error: calibration not found");
+                return;
+            }
+            try (BufferedReader reader = new BufferedReader(new InputStreamReader(resourceStream))) {
+                String line;
+                while ((line = reader.readLine()) != null) {
+                    line = line.replace(" ", "").replaceAll("\n", "");
+                    if (StringUtils.isEmpty(line)) {
+                        continue;
+                    }
+
+                    String[] split = line.split(",");
+                    if (split.length != 4) {
+                        continue;
+                    }
+                    Double regionBegin = Double.parseDouble(split[0]);
+                    Double regionEnd = Double.parseDouble(split[1]);
+                    Double originCoefficient = Double.parseDouble(split[2]);
+                    Double smoothlyCoefficient = Double.parseDouble(split[3]);
+                    strPlusCalibrationCoefficientMap.put(new Pair<>(regionBegin, regionEnd), new Pair<>(originCoefficient, smoothlyCoefficient));
+                }
+            } catch (Exception e) {
+                log.error("[562 exp] read calibration file error: ", e);
+            }
+
+
+        }
+    }
+
 }

recommend-server-service/src/main/resources/562_calibration_coefficient.txt

@@ -0,0 +1,1000 @@
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+0.002267,0.002368,0.5552,0.5005
+0.002368,0.002461,0.505,0.5298
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+0.002623,0.002695,0.5487,0.5554
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+0.002763,0.002825,0.5281,0.5672
+0.002825,0.002884,0.612,0.5746
+0.002884,0.002939,0.5778,0.5815
+0.002939,0.002992,0.5858,0.6006
+0.002992,0.003041,0.6037,0.6058
+0.003041,0.003088,0.6239,0.6216
+0.003088,0.003132,0.6377,0.6308
+0.003132,0.003175,0.6567,0.6327
+0.003175,0.003215,0.632,0.6424
+0.003215,0.003254,0.6131,0.6507
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