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-package com.tzld.piaoquan.recommend.server.service.recall.strategy;
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-
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-import com.tzld.piaoquan.recommend.server.model.Video;
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-import com.tzld.piaoquan.recommend.server.service.filter.FilterParam;
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-import com.tzld.piaoquan.recommend.server.service.filter.FilterResult;
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-import com.tzld.piaoquan.recommend.server.service.flowpool.FlowPoolConfigService;
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-import com.tzld.piaoquan.recommend.server.service.flowpool.FlowPoolConstants;
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-import com.tzld.piaoquan.recommend.server.service.recall.FilterParamFactory;
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-import com.tzld.piaoquan.recommend.server.service.recall.RecallParam;
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-import com.tzld.piaoquan.recommend.server.service.score.ScorerUtils;
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-import com.tzld.piaoquan.recommend.server.service.score4recall.ScorerPipeline4Recall;
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-import lombok.Data;
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-import lombok.extern.slf4j.Slf4j;
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-import org.apache.commons.collections4.CollectionUtils;
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-import org.apache.commons.lang3.RandomUtils;
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-import org.apache.commons.lang3.math.NumberUtils;
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-import org.apache.commons.lang3.tuple.Pair;
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-import org.springframework.beans.factory.annotation.Autowired;
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-import org.springframework.stereotype.Service;
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-
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-import java.math.BigDecimal;
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-import java.math.RoundingMode;
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-import java.util.*;
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-import java.util.stream.Collectors;
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-
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-import static com.tzld.piaoquan.recommend.server.service.flowpool.FlowPoolConstants.KEY_WITH_LEVEL_FORMAT;
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-
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-/**
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- * @author zhangbo
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- */
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-@Service
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-@Slf4j
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-@Deprecated
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-public class FlowPoolWithLevelRecallStrategyTomsonFilterDigitV2 extends AbstractFlowPoolWithLevelRecallStrategy {
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-
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- @Autowired
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- private FlowPoolConfigService flowPoolConfigService;
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-
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- @Override
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- Pair<String, String> flowPoolKeyAndLevel(RecallParam param) {
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- //# 1. 获取流量池各层级分发概率权重
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- Map<String, Double> levelWeightMap = flowPoolConfigService.getLevelWeight();
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-
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- // 2. 判断各层级是否有视频需分发
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- List<LevelWeight> availableLevels = new ArrayList<>();
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- for (Map.Entry<String, Double> entry : levelWeightMap.entrySet()) {
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- String levelKey = String.format(KEY_WITH_LEVEL_FORMAT, param.getAppType(), entry.getKey());
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- if (Boolean.TRUE.equals(redisTemplate.hasKey(levelKey))) {
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- LevelWeight lw = new LevelWeight();
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- lw.setLevel(entry.getKey());
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- lw.setLevelKey(levelKey);
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- lw.setWeight(entry.getValue());
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- availableLevels.add(lw);
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- }
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- }
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- if (CollectionUtils.isEmpty(availableLevels)) {
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- return Pair.of("", "");
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- }
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-
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- // 3. 根据可分发层级权重设置分发概率
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- availableLevels.sort(Comparator.comparingDouble(LevelWeight::getWeight));
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-
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- double weightSum = availableLevels.stream().mapToDouble(o -> o.getWeight()).sum();
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- BigDecimal weightSumBD = new BigDecimal(weightSum);
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- double level_p_low = 0;
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- double weight_temp = 0;
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- double level_p_up = 0;
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- Map<String, LevelP> level_p_mapping = new HashMap<>();
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- for (LevelWeight lw : availableLevels) {
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- BigDecimal bd = new BigDecimal(weight_temp + lw.getWeight());
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- level_p_up = bd.divide(weightSumBD, 2, RoundingMode.HALF_UP).doubleValue();
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- LevelP levelP = new LevelP();
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- levelP.setMin(level_p_low);
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- levelP.setMax(level_p_up);
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- levelP.setLevelKey(lw.getLevelKey());
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- level_p_mapping.put(lw.level, levelP);
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- level_p_low = level_p_up;
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-
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- weight_temp += lw.getWeight();
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- }
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-
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- // 4. 随机生成[0,1)之间数，返回相应概率区间的key
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- double random_p = RandomUtils.nextDouble(0, 1);
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- for (Map.Entry<String, LevelP> entry : level_p_mapping.entrySet()) {
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- if (random_p >= entry.getValue().getMin()
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- && random_p <= entry.getValue().getMax()) {
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- return Pair.of(entry.getValue().getLevelKey(), entry.getKey());
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- }
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- }
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- return Pair.of("", "");
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- }
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-
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- @Data
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- static class LevelWeight {
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- private String level;
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- private String levelKey;
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- private Double weight;
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- }
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-
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- @Data
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- static class LevelP {
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- private String levelKey;
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- private double min;
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- private double max;
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- }
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-
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- @Override
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- public String pushFrom() {
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- return FlowPoolConstants.PUSH_FORM;
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- }
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-
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- @Override
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- public List<Video> recall(RecallParam param) {
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- Pair<String, String> flowPoolKeyAndLevel = flowPoolKeyAndLevel(param);
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- String flowPoolKey = flowPoolKeyAndLevel.getLeft();
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- String level = flowPoolKeyAndLevel.getRight();
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- List<String> data = Objects.requireNonNull(redisTemplate.opsForSet().members(flowPoolKey)).stream().filter(o ->
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- NumberUtils.toLong(o.split("-")[0], 0) % 10 == param.getLastDigit()).distinct().collect(Collectors.toList());
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-
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- if (CollectionUtils.isEmpty(data)) {
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- return null;
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- }
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- Map<String, String> videoFlowPoolMap = new LinkedHashMap<>();
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- Map<Long, String> videoFlowPoolMap_ = new LinkedHashMap<>();
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- for (String value : data) {
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- String[] values = value.split("-");
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- videoFlowPoolMap.put(values[0], values[1]);
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- videoFlowPoolMap_.put(NumberUtils.toLong(values[0], 0), values[1]);
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- }
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- ScorerPipeline4Recall pipeline = ScorerUtils.getScorerPipeline4Recall("feeds_recall_config_tomson_v2.conf");
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- List<List<Pair<Long, Double>>> results = pipeline.recall(videoFlowPoolMap);
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- List<Pair<Long, Double>> result = results.get(0);
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- Map<Long, Double> resultmap = result.stream()
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- .collect(Collectors.toMap(
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- Pair::getLeft, // 键是Pair的left值
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- Pair::getRight, // 值是Pair的right值
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- (existingValue, newValue) -> existingValue, // 如果键冲突，选择保留现有的值（或者你可以根据需要定义其他合并策略）
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- LinkedHashMap::new // 使用LinkedHashMap来保持插入顺序（如果需要的话）
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- ));
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- // 3 召回内部过滤
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- FilterParam filterParam = FilterParamFactory.create(param, result.stream()
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- .map(Pair::getLeft)
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- .collect(Collectors.toList()));
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- FilterResult filterResult = filterService.filter(filterParam);
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- List<Video> videosResult = new ArrayList<>();
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- if (filterResult != null && CollectionUtils.isNotEmpty(filterResult.getVideoIds())) {
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- filterResult.getVideoIds().forEach(vid -> {
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- Video recallData = new Video();
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- recallData.setVideoId(vid);
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- recallData.setAbCode(param.getAbCode());
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- recallData.setRovScore(resultmap.getOrDefault(vid, 0.0));
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- recallData.setPushFrom(pushFrom());
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- recallData.setFlowPool(videoFlowPoolMap_.get(vid));
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- recallData.setFlowPoolAbtestGroup(param.getFlowPoolAbtestGroup());
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- recallData.setLevel(level);
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- videosResult.add(recallData);
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- });
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- }
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- videosResult.sort(Comparator.comparingDouble(o -> -o.getRovScore()));
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- return videosResult;
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- }
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-}
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