Spring-cloud-一步步实现广告系统-18-查询返回广告创意

32次阅读

共计 8277 个字符,预计需要花费 21 分钟才能阅读完成。

根据三个维度继续过滤

在上一节中我们实现了根据流量信息过滤的代码,但是我们的条件有可能是多条件一起传给我们的检索服务的,本节我们继续实现根据推广单元的三个维度条件的过滤。

  • SearchImpl 类中添加过滤方法
public class SearchImpl implements ISearch {
    @Override
    public SearchResponse fetchAds(SearchRequest request) {
        ...
            // 根据三个维度过滤
            if (featureRelation == FeatureRelation.AND) {filterKeywordFeature(adUnitIdSet, keywordFeature);
                filterHobbyFeature(adUnitIdSet, hobbyFeatrue);
                filterDistrictFeature(adUnitIdSet, districtFeature);

                targetUnitIdSet = adUnitIdSet;
            } else {getOrRelationUnitIds(adUnitIdSet, keywordFeature, hobbyFeatrue, districtFeature);
            }
        }
        return null;
    }
  • 定义三个方法实现过滤
/**
     * 获取三个维度各自满足时的广告 id
     */
    private Set<Long> getOrRelationUnitIds(Set<Long> adUnitIdsSet,
                                           KeywordFeature keywordFeature,
                                           HobbyFeatrue hobbyFeatrue,
                                           DistrictFeature districtFeature) {if (CollectionUtils.isEmpty(adUnitIdsSet)) return Collections.EMPTY_SET;

        // 我们在处理的时候,需要对副本进行处理,大家可以考虑一下为什么需要这么做?Set<Long> keywordUnitIdSet = new HashSet<>(adUnitIdsSet);
        Set<Long> hobbyUnitIdSet = new HashSet<>(adUnitIdsSet);
        Set<Long> districtUnitIdSet = new HashSet<>(adUnitIdsSet);

        filterKeywordFeature(keywordUnitIdSet, keywordFeature);
        filterHobbyFeature(hobbyUnitIdSet, hobbyFeatrue);
        filterDistrictFeature(districtUnitIdSet, districtFeature);

        // 返回它们的并集
        return new HashSet<>(
                CollectionUtils.union(CollectionUtils.union(keywordUnitIdSet, hobbyUnitIdSet),
                        districtUnitIdSet
                )
        );
    }

    /**
     * 根据传递的关键词过滤
     */
    private void filterKeywordFeature(Collection<Long> adUnitIds, KeywordFeature keywordFeature) {if (CollectionUtils.isEmpty(adUnitIds)) return;
        if (CollectionUtils.isNotEmpty(keywordFeature.getKeywords())) {
            // 如果存在需要过滤的关键词,查找索引实例对象进行过滤处理
            CollectionUtils.filter(
                    adUnitIds,
                    adUnitId -> IndexDataTableUtils.of(UnitKeywordIndexAwareImpl.class)
                                                   .match(adUnitId, keywordFeature.getKeywords())
            );
        }
    }

    /**
     * 根据传递的兴趣信息过滤
     */
    private void filterHobbyFeature(Collection<Long> adUnitIds, HobbyFeatrue hobbyFeatrue) {if (CollectionUtils.isEmpty(adUnitIds)) return;
        // 如果存在需要过滤的兴趣,查找索引实例对象进行过滤处理
        if (CollectionUtils.isNotEmpty(hobbyFeatrue.getHobbys())) {
            CollectionUtils.filter(
                    adUnitIds,
                    adUnitId -> IndexDataTableUtils.of(UnitHobbyIndexAwareImpl.class)
                                                   .match(adUnitId, hobbyFeatrue.getHobbys())
            );
        }
    }

    /**
     * 根据传递的地域信息过滤
     */
    private void filterDistrictFeature(Collection<Long> adUnitIds, DistrictFeature districtFeature) {if (CollectionUtils.isEmpty(adUnitIds)) return;
        // 如果存在需要过滤的地域信息,查找索引实例对象进行过滤处理
        if (CollectionUtils.isNotEmpty(districtFeature.getProvinceAndCities())) {
            CollectionUtils.filter(
                    adUnitIds,
                    adUnitId -> {return IndexDataTableUtils.of(UnitDistrictIndexAwareImpl.class)
                                                  .match(adUnitId, districtFeature.getProvinceAndCities());
                    }
            );
        }
    }
根据推广单元 id 获取推广创意

我们知道,推广单元和推广创意的关系是多对多,从上文我们查询到了推广单元 ids, 接下来我们实现根据推广单元 id 获取推广创意的代码,let’s code.
首先,我们需要在com.sxzhongf.ad.index.creative_relation_unit.CreativeRelationUnitIndexAwareImpl 关联索引中查到推广创意的 ids

 /**
     * 通过推广单元 id 获取推广创意 id
     */
    public List<Long> selectAdCreativeIds(List<AdUnitIndexObject> unitIndexObjects) {if (CollectionUtils.isEmpty(unitIndexObjects)) return Collections.emptyList();

        // 获取要返回的广告创意 ids
        List<Long> result = new ArrayList<>();
        for (AdUnitIndexObject unitIndexObject : unitIndexObjects) {
            // 根据推广单元 id 获取推广创意
            Set<Long> adCreativeIds = unitRelationCreativeMap.get(unitIndexObject.getUnitId());
            if (CollectionUtils.isNotEmpty(adCreativeIds)) result.addAll(adCreativeIds);
        }

        return result;
    }

然后得到了推广创意的 id list 后,我们在创意索引实现类 com.sxzhongf.ad.index.creative.CreativeIndexAwareImpl 中定义根据 ids 查询创意的方法。

/**
 * 根据 ids 获取创意 list
 */
public List<CreativeIndexObject> findAllByIds(Collection<Long> ids) {if (CollectionUtils.isEmpty(ids)) return Collections.emptyList();
    List<CreativeIndexObject> result = new ArrayList<>();

    for (Long id : ids) {CreativeIndexObject object = get(id);
        if (null != object)
            result.add(object);
    }

    return result;
}

自此,我们已经得到了想要的推广单元和推广创意,因为推广单元包含了推广计划,所以我们想要的数据已经全部可以获取到了,接下来,我们还得过滤一次当前我们查询到的数据的状态,因为有的数据,我们可能已经进行过逻辑删除了,因此还需要判断获取的数据是否有效。在 SearchImpl 类中实现。

  /**
   * 根据状态信息过滤数据
   */
  private void filterAdUnitAndPlanStatus(List<AdUnitIndexObject> unitIndexObjects, CommonStatus status) {if (CollectionUtils.isEmpty(unitIndexObjects)) return;

      // 同时判断推广单元和推广计划的状态
      CollectionUtils.filter(
              unitIndexObjects,
              unitIndexObject -> unitIndexObject.getUnitStatus().equals(status.getStatus()) &&
                      unitIndexObject.getAdPlanIndexObject().getPlanStatus().equals(status.getStatus())
      );
  }

SearchImpl 中我们实现广告创意的查询.

...

// 获取 推广计划 对象 list
List<AdUnitIndexObject> unitIndexObjects = IndexDataTableUtils.of(AdUnitIndexAwareImpl.class).fetch(adUnitIdSet);
// 根据状态过滤数据
filterAdUnitAndPlanStatus(unitIndexObjects, CommonStatus.VALID);
// 获取 推广创意 id list
List<Long> creativeIds = IndexDataTableUtils.of(CreativeRelationUnitIndexAwareImpl.class)
                                            .selectAdCreativeIds(unitIndexObjects);
// 根据 推广创意 ids 获取推广创意
List<CreativeIndexObject> creativeIndexObjects = IndexDataTableUtils.of(CreativeIndexAwareImpl.class)
...
根据广告位 adslot 实现对创意数据的过滤

因为我们的广告位是有不同的大小,不同的类型,因此,我们在获取到所有符合我们查询维度以及流量类型的条件后,还需要针对不同的广告位来展示不同的广告创意信息。

/**
* 根据广告位类型以及参数获取展示的合适广告信息
*
* @param creativeIndexObjects 所有广告创意
* @param width                广告位 width
* @param height               广告位 height
*/
private void filterCreativeByAdSlot(List<CreativeIndexObject> creativeIndexObjects,
                                  Integer width,
                                  Integer height,
                                  List<Integer> type) {if (CollectionUtils.isEmpty(creativeIndexObjects)) return;

  CollectionUtils.filter(
          creativeIndexObjects,
          creative -> {
              // 审核状态必须是通过
              return creative.getAuditStatus().equals(CommonStatus.VALID.getStatus())
                      && creative.getWidth().equals(width)
                      && creative.getHeight().equals(height)
                      && type.contains(creative.getType());
          }
  );
}
  • 组建搜索返回对象

正常业务场景中,同一个广告位可以展示多个广告信息,也可以只展示一个广告信息,这个需要根据具体的业务场景来做不同的处理,本次为了演示方便,会从返回的创意列表中随机选择一个创意广告信息进行展示,当然大家也可以根据业务类型,设置不同的优先级或者权重值来进行广告选择。

/**
 * 从创意列表中随机获取一条创意广告返回出去
 *
 * @param creativeIndexObjects 创意广告 list
 */
private List<SearchResponse.Creative> buildCreativeResponse(List<CreativeIndexObject> creativeIndexObjects) {if (CollectionUtils.isEmpty(creativeIndexObjects)) return Collections.EMPTY_LIST;

    // 随机获取一个广告创意,也可以实现优先级排序,也可以根据权重值等等,具体根据业务
    CreativeIndexObject randomObject = creativeIndexObjects.get(Math.abs(new Random().nextInt()) % creativeIndexObjects.size());
    //List<SearchResponse.Creative> result = new ArrayList<>();
    //result.add(SearchResponse.convert(randomObject));

    return Collections.singletonList(SearchResponse.convert(randomObject)
    );
}

完整的请求过滤实现方法:

@Service
@Slf4j
public class SearchImpl implements ISearch {
    @Override
    public SearchResponse fetchAds(SearchRequest request) {

        // 获取请求广告位信息
        List<AdSlot> adSlotList = request.getRequestInfo().getAdSlots();

        // 获取三个 Feature 信息
        KeywordFeature keywordFeature = request.getFeatureInfo().getKeywordFeature();
        HobbyFeatrue hobbyFeatrue = request.getFeatureInfo().getHobbyFeatrue();
        DistrictFeature districtFeature = request.getFeatureInfo().getDistrictFeature();
        //Feature 关系
        FeatureRelation featureRelation = request.getFeatureInfo().getRelation();


        // 构造响应对象
        SearchResponse response = new SearchResponse();
        Map<String, List<SearchResponse.Creative>> adSlotRelationAds = response.getAdSlotRelationAds();

        for (AdSlot adSlot : adSlotList) {
            Set<Long> targetUnitIdSet;
            // 根据流量类型从缓存中获取 初始 广告信息
            Set<Long> adUnitIdSet = IndexDataTableUtils.of(AdUnitIndexAwareImpl.class).match(adSlot.getPositionType());

            // 根据三个维度过滤
            if (featureRelation == FeatureRelation.AND) {filterKeywordFeature(adUnitIdSet, keywordFeature);
                filterHobbyFeature(adUnitIdSet, hobbyFeatrue);
                filterDistrictFeature(adUnitIdSet, districtFeature);

                targetUnitIdSet = adUnitIdSet;
            } else {targetUnitIdSet = getOrRelationUnitIds(adUnitIdSet, keywordFeature, hobbyFeatrue, districtFeature);
            }
            // 获取 推广计划 对象 list
            List<AdUnitIndexObject> unitIndexObjects = IndexDataTableUtils.of(AdUnitIndexAwareImpl.class)
                                                                          .fetch(targetUnitIdSet);
            // 根据状态过滤数据
            filterAdUnitAndPlanStatus(unitIndexObjects, CommonStatus.VALID);

            // 获取 推广创意 id list
            List<Long> creativeIds = IndexDataTableUtils.of(CreativeRelationUnitIndexAwareImpl.class)
                                                        .selectAdCreativeIds(unitIndexObjects);
            // 根据 推广创意 ids 获取推广创意
            List<CreativeIndexObject> creativeIndexObjects = IndexDataTableUtils.of(CreativeIndexAwareImpl.class)
                                                                                .fetch(creativeIds);

            // 根据 广告位 adslot 实现对创意数据的过滤
            filterCreativeByAdSlot(creativeIndexObjects, adSlot.getWidth(), adSlot.getHeight(), adSlot.getType());

            // 一个广告位可以展示多个广告,也可以仅展示一个广告,具体根据业务来定
            adSlotRelationAds.put(adSlot.getAdSlotCode(),
                    buildCreativeResponse(creativeIndexObjects)
            );
        }

        return response;
    }
    ...
检索服务对外提供
  • 暴露 API 接口

上文中,我们实现了检索服务的核心逻辑,接下来,我们需要对外暴露我们的广告检索服务接口,在 SearchController 中提供:

    @PostMapping("/fetchAd")
    public SearchResponse fetchAdCreative(@RequestBody SearchRequest request) {log.info("ad-serach: fetchAd ->{}", JSON.toJSONString(request));
        return search.fetchAds(request);
    }
  • 实现 API 网关配置

    zuul:
    routes:
        sponsor: #在路由中自定义服务路由名称
        path: /ad-sponsor/**
        serviceId: mscx-ad-sponsor #微服务 name
        strip-prefix: false
        search: #在路由中自定义服务路由名称
        path: /ad-search/**
        serviceId: mscx-ad-search #微服务 name
        strip-prefix: false
    prefix: /gateway/api
    strip-prefix: true #不对 prefix: /gateway/api 设置的路径进行截取,默认转发会截取掉配置的前缀

正文完
 0