随机排序策略

long-article-recommend-service/src/main/java/com/tzld/longarticle/recommend/server/service/recommend/rank/strategy/RandomRankStrategy.java

@@ -7,7 +7,6 @@ import com.tzld.longarticle.recommend.server.service.recommend.rank.RankItem;
 import com.tzld.longarticle.recommend.server.service.recommend.rank.RankParam;
 import com.tzld.longarticle.recommend.server.service.recommend.rank.RankResult;
 import com.tzld.longarticle.recommend.server.service.recommend.rank.RankStrategy;
-import com.tzld.longarticle.recommend.server.service.recommend.score.ScoreParam;
 import com.tzld.longarticle.recommend.server.service.recommend.score.ScoreResult;
 import com.tzld.longarticle.recommend.server.service.recommend.score.ScoreService;
 import com.tzld.longarticle.recommend.server.util.CommonCollectionUtils;
@@ -17,7 +16,6 @@ import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
 import java.util.*;
-import java.util.stream.Collectors;
 
 @Service
 @Slf4j
@@ -33,14 +31,11 @@ public class RandomRankStrategy implements RankStrategy {
     public RankResult rank(RankParam param) {
         List<Content> result = new ArrayList<>();
         String[] contentPools = accountContentPoolConfigService.getContentPools(param.getAccountName());
-        ScoreParam scoreParam = RankStrategy.convertToScoreParam(param);
-        scoreParam.setContents(scoreParam.getContents().stream().filter(
-                c -> contentPools[2].equals(c.getContentPoolType())).collect(Collectors.toList()));
         ScoreResult scoreResult = scoreService.score(RankStrategy.convertToScoreParam(param));
 
         Map<String, Map<String, Double>> scoreMap = scoreResult.getScoreMap();
 
-        List<RankItem> items = CommonCollectionUtils.toList(scoreParam.getContents(), c -> {
+        List<RankItem> items = CommonCollectionUtils.toList(param.getContents(), c -> {
             RankItem item = new RankItem();
             item.setContent(c);
             return item;