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+package com.tzld.longarticle.recommend.server.service.recommend.filter.strategy;
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+
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+import com.ctrip.framework.apollo.spring.annotation.ApolloJsonValue;
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+import com.tzld.longarticle.recommend.server.model.dto.Content;
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+import com.tzld.longarticle.recommend.server.model.dto.ContentHisPublishArticle;
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+import com.tzld.longarticle.recommend.server.model.entity.crawler.AccountAvgInfo;
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+import com.tzld.longarticle.recommend.server.repository.crawler.AccountAvgInfoRepository;
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+import com.tzld.longarticle.recommend.server.service.recommend.filter.FilterParam;
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+import com.tzld.longarticle.recommend.server.service.recommend.filter.FilterResult;
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+import com.tzld.longarticle.recommend.server.service.recommend.filter.FilterStrategy;
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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.springframework.beans.factory.annotation.Autowired;
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+import org.springframework.beans.factory.annotation.Value;
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+import org.springframework.stereotype.Component;
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+
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+import java.util.ArrayList;
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+import java.util.List;
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+import java.util.Map;
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+import java.util.Objects;
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+import java.util.stream.Collectors;
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+
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+
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+@Component
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+@Slf4j
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+public class HistoryHighViewStrategy implements FilterStrategy {
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+
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+ @Autowired
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+ AccountAvgInfoRepository accountAvgInfoRepository;
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+
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+ @Value("${filter.history-high-view-rate:0.002}")
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+ private Double historyHighViewRate;
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+ @ApolloJsonValue("${filter.history-high-view.account.list:[]}")
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+ private List<String> historyHighViewAccountList;
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+
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+ /**
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+ * 该账号历史已发布文章中，点击量/粉丝数 > 0.002 的文章，过滤掉
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+ *
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+ * @param param
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+ * @return
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+ */
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+ @Override
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+ public FilterResult filter(FilterParam param) {
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+ FilterResult filterResult = new FilterResult();
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+ List<String> result = new ArrayList<>(param.getContents().size());
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+ List<Content> filterContents = new ArrayList<>();
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+ if (!historyHighViewAccountList.contains(param.getAccountName())) {
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+ result.addAll(param.getContents().stream().map(Content::getId).collect(Collectors.toList()));
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+ filterResult.setContentIds(result);
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+ return filterResult;
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+ }
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+ List<AccountAvgInfo> avgInfoList = accountAvgInfoRepository.getAllByGhIdEqualsAndStatusEquals(param.getGhId(), 1);
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+ Map<String, AccountAvgInfo> avgInfoMap = avgInfoList.stream().collect(Collectors.toMap(AccountAvgInfo::getPosition, o -> o, (o1, o2) -> o2));
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+ AccountAvgInfo info = avgInfoMap.get("1");
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+ Integer fans = Objects.nonNull(info) ? info.getFans() : null;
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+ for (Content content : param.getContents()) {
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+ List<ContentHisPublishArticle> historyArticleList = content.getHisPublishArticleList();
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+ if (CollectionUtils.isNotEmpty(historyArticleList)) {
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+ boolean filter = false;
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+ for (ContentHisPublishArticle article : historyArticleList) {
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+ if (article.getGhId().equals(param.getGhId()) && article.getItemIndex() == 1) {
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+ if (article.getViewCount() / (double) (Objects.nonNull(fans) ? fans : article.getFans()) > historyHighViewRate) {
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+ content.setFilterReason("历史已发布高阅读率文章");
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+ filterContents.add(content);
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+ filter = true;
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+ break;
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+ }
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+ }
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+ }
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+ if (!filter) {
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+ result.add(content.getId());
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+ }
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+ } else {
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+ result.add(content.getId());
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+ }
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+ }
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+ filterResult.setContentIds(result);
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+ filterResult.setFilterContent(filterContents);
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+ return filterResult;
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+ }
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+
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+}
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wangyunpeng