q792602257/FrameTour-BE
0
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge branch 'refs/heads/result_edit_2'

Browse Source 
# Conflicts:
#	src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java
#	src/main/java/com/ycwl/basic/service/task/impl/TaskFaceServiceImpl.java
This commit is contained in:
Jerry Yan
2025-10-28 15:36:32 +08:00
parent e887fd47f2 1b312313b2
commit cc68a8dbbd
11 changed files with 696 additions and 155 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
src/main/java/com/ycwl/basic/service/pc/FaceService.java
View File

@@ -5,8 +5,10 @@ import com.ycwl.basic.model.mobile.face.FaceRecognizeResp;
import com.ycwl.basic.model.mobile.face.FaceStatusResp;
import com.ycwl.basic.model.mobile.scenic.content.ContentPageVO;
import com.ycwl.basic.model.pc.face.entity.FaceEntity;
import com.ycwl.basic.model.pc.face.req.FaceRecognitionUpdateReq;
import com.ycwl.basic.model.pc.face.req.FaceReqQuery;
import com.ycwl.basic.model.pc.face.resp.FaceRespVO;
import com.ycwl.basic.model.pc.face.resp.FaceRecognitionDetailVO;
import com.ycwl.basic.model.pc.faceSample.entity.FaceSampleEntity;
import com.ycwl.basic.model.pc.faceSample.resp.FaceSampleRespVO;
import com.ycwl.basic.model.task.resp.SearchFaceRespVo;
@@ -51,4 +53,8 @@ public interface FaceService {
List<FaceSampleEntity> getLowMatchedFaceSamples(Long faceId);
void matchCustomFaceId(Long faceId, List<Long> faceSampleIds);
FaceRecognitionDetailVO updateRecognition(FaceRecognitionUpdateReq req);
FaceRecognitionDetailVO getRecognitionDetail(Long faceId);
}

421
src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java
View File

@@ -25,8 +25,13 @@ import com.ycwl.basic.model.mobile.goods.VideoTaskStatusVO;
import com.ycwl.basic.model.mobile.order.IsBuyRespVO;
import com.ycwl.basic.model.mobile.scenic.content.ContentPageVO;
import com.ycwl.basic.model.mobile.statistic.req.StatisticsRecordAddReq;
import com.ycwl.basic.model.pc.device.entity.DeviceEntity;
import com.ycwl.basic.model.pc.face.entity.FaceEntity;
import com.ycwl.basic.model.pc.face.enums.FaceRecognitionFilterReason;
import com.ycwl.basic.model.pc.face.req.FaceRecognitionUpdateReq;
import com.ycwl.basic.model.pc.face.req.FaceReqQuery;
import com.ycwl.basic.model.pc.face.resp.FaceRecognitionDetailVO;
import com.ycwl.basic.model.pc.face.resp.FaceRecognitionSampleVO;
import com.ycwl.basic.model.pc.face.resp.FaceRespVO;
import com.ycwl.basic.model.pc.faceSample.entity.FaceSampleEntity;
import com.ycwl.basic.model.pc.mp.MpConfigEntity;
@@ -42,6 +47,7 @@ import com.ycwl.basic.model.pc.template.resp.TemplateRespVO;
import com.ycwl.basic.model.pc.video.entity.MemberVideoEntity;
import com.ycwl.basic.model.pc.video.entity.VideoEntity;
import com.ycwl.basic.model.repository.TaskUpdateResult;
import com.ycwl.basic.model.task.resp.SampleFilterTrace;
import com.ycwl.basic.model.task.resp.SearchFaceRespVo;
import com.ycwl.basic.repository.DeviceRepository;
import com.ycwl.basic.repository.FaceRepository;
@@ -74,12 +80,19 @@ import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.Date;
import java.util.EnumSet;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import java.util.Set;
import java.util.UUID;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
@@ -1098,21 +1111,23 @@ public class FaceServiceImpl implements FaceService {
@Override
public void matchCustomFaceId(Long faceId, List<Long> faceSampleIds) {
// 参数验证
handleCustomFaceMatching(faceId, faceSampleIds);
}
private SearchFaceRespVo handleCustomFaceMatching(Long faceId, List<Long> faceSampleIds) {
if (faceId == null) {
throw new IllegalArgumentException("faceId 不能为空");
}
if (faceSampleIds == null || faceSampleIds.isEmpty()) {
throw new IllegalArgumentException("faceSampleIds 不能为空");
}
log.debug("开始自定义人脸匹配：faceId={}, faceSampleIds={}", faceId, faceSampleIds);
// 记录自定义匹配调用次数，便于监控调用频率
recordCustomMatchCount(faceId);
try {
// 1. 获取基础数据
FaceEntity face = faceRepository.getFace(faceId);
if (face == null) {
log.warn("人脸不存在，faceId: {}", faceId);
@@ -1127,7 +1142,7 @@ public class FaceServiceImpl implements FaceService {
ScenicConfigManager scenicConfig = scenicRepository.getScenicConfigManager(face.getScenicId());
IFaceBodyAdapter faceBodyAdapter = scenicService.getScenicFaceBodyAdapter(face.getScenicId());
if (faceBodyAdapter == null) {
log.error("无法获取人脸识别适配器，scenicId: {}", face.getScenicId());
throw new BaseException("人脸识别服务不可用，请稍后再试");
@@ -1138,7 +1153,7 @@ public class FaceServiceImpl implements FaceService {
log.debug("face_select_post_mode配置值: {}", faceSelectPostMode);
SearchFaceRespVo mergedResult;
// 2. 根据face_select_post_mode决定搜索策略
if (Integer.valueOf(2).equals(faceSelectPostMode)) {
// 模式2：不搜索，直接使用用户选择的faceSampleIds
@@ -1150,15 +1165,15 @@ public class FaceServiceImpl implements FaceService {
List<SearchFaceRespVo> searchResults = new ArrayList<>();
for (FaceSampleEntity faceSample : faceSamples) {
try {
SearchFaceRespVo result = faceService.searchFace(faceBodyAdapter,
String.valueOf(face.getScenicId()),
faceSample.getFaceUrl(),
SearchFaceRespVo result = faceService.searchFace(faceBodyAdapter,
String.valueOf(face.getScenicId()),
faceSample.getFaceUrl(),
"自定义人脸匹配");
if (result != null) {
searchResults.add(result);
}
} catch (Exception e) {
log.warn("人脸样本搜索失败，faceSampleId={}, faceUrl={}",
log.warn("人脸样本搜索失败，faceSampleId={}, faceUrl={}",
faceSample.getId(), faceSample.getFaceUrl(), e);
// 继续处理其他样本，不中断整个流程
}
@@ -1172,56 +1187,60 @@ public class FaceServiceImpl implements FaceService {
// 2.2 根据模式整合多个搜索结果
mergedResult = mergeSearchResults(searchResults, faceSelectPostMode);
}
// 3. 应用后置筛选逻辑
if (mergedResult.getSampleListIds() != null && !mergedResult.getSampleListIds().isEmpty()) {
List<FaceSampleEntity> allFaceSampleList = faceSampleMapper.listByIds(mergedResult.getSampleListIds());
List<Long> filteredSampleIds = faceService.applySampleFilters(mergedResult.getSampleListIds(), allFaceSampleList, scenicConfig);
SampleFilterTrace filterTrace = faceService.applySampleFiltersWithTrace(
mergedResult.getSampleListIds(), allFaceSampleList, scenicConfig);
List<Long> filteredSampleIds = filterTrace.getAcceptedSampleIds() == null
? Collections.emptyList()
: filterTrace.getAcceptedSampleIds();
mergedResult.setSampleListIds(filteredSampleIds);
log.debug("应用后置筛选：原始样本数={}, 筛选后样本数={}", allFaceSampleList.size(), filteredSampleIds.size());
mergedResult.setFilterTrace(filterTrace);
log.debug("应用后置筛选：原始样本数={}, 筛选后样本数={}",
allFaceSampleList.size(), filteredSampleIds.size());
}
// 5. 更新人脸实体结果
updateFaceEntityResult(face, mergedResult, faceId);
// 6. 执行后续业务逻辑
List<Long> sampleListIds = mergedResult.getSampleListIds();
if (sampleListIds != null && !sampleListIds.isEmpty()) {
try {
List<MemberSourceEntity> memberSourceEntityList = processMemberSources(sampleListIds, face);
if (!memberSourceEntityList.isEmpty()) {
List<Long> freeSourceIds = processFreeSourceLogic(memberSourceEntityList, scenicConfig, false);
processBuyStatus(memberSourceEntityList, freeSourceIds, face.getMemberId(),
face.getScenicId(), faceId);
handleVideoRecreation(scenicConfig, memberSourceEntityList, faceId,
face.getMemberId(), sampleListIds, false);
// 过滤已存在的关联关系和无效的source引用，防止数据不一致
processBuyStatus(memberSourceEntityList, freeSourceIds, face.getMemberId(),
face.getScenicId(), faceId);
handleVideoRecreation(scenicConfig, memberSourceEntityList, faceId,
face.getMemberId(), sampleListIds, false);
List<MemberSourceEntity> existingFiltered = sourceMapper.filterExistingRelations(memberSourceEntityList);
List<MemberSourceEntity> validFiltered = sourceMapper.filterValidSourceRelations(existingFiltered);
if (!validFiltered.isEmpty()) {
sourceMapper.addRelations(validFiltered);
log.debug("创建关联关系: faceId={}, 原始数量={}, 过滤后数量={}",
faceId, memberSourceEntityList.size(), validFiltered.size());
log.debug("创建关联关系: faceId={}, 原始数量={}, 过滤后数量={}",
faceId, memberSourceEntityList.size(), validFiltered.size());
} else {
log.warn("没有有效的关联关系可创建: faceId={}, 原始数量={}", faceId, memberSourceEntityList.size());
}
memberRelationRepository.clearSCacheByFace(faceId);
taskTaskService.autoCreateTaskByFaceId(faceId);
log.info("自定义人脸匹配完成：faceId={}, 匹配样本数={}, 关联源文件数={}, 免费数={}",
faceId, sampleListIds.size(), memberSourceEntityList.size(), freeSourceIds.size());
faceId, sampleListIds.size(), memberSourceEntityList.size(), freeSourceIds.size());
}
} catch (Exception e) {
log.error("处理源文件关联失败，faceId={}", faceId, e);
// 源文件关联失败不影响主流程
}
} else {
log.warn("自定义人脸匹配无结果：faceId={}, faceSampleIds={}", faceId, faceSampleIds);
}
return mergedResult;
} catch (BaseException e) {
throw e;
} catch (Exception e) {
@@ -1237,9 +1256,323 @@ public class FaceServiceImpl implements FaceService {
return mergeSearchResults(searchResults, 0);
}
@Override
public FaceRecognitionDetailVO updateRecognition(FaceRecognitionUpdateReq req) {
if (req == null || req.getFaceId() == null) {
throw new IllegalArgumentException("faceId 不能为空");
}
Long faceId = req.getFaceId();
FaceEntity face = faceRepository.getFace(faceId);
if (face == null) {
throw new BaseException("人脸不存在");
}
boolean forceRematch = Boolean.TRUE.equals(req.getForceRematch());
if (forceRematch) {
matchFaceId(faceId, false);
face = faceRepository.getFace(faceId);
}
List<Long> currentAccepted = parseMatchSampleIds(face.getMatchSampleIds());
List<Long> manualAccepted = Optional.ofNullable(req.getManualAcceptedSampleIds()).orElse(Collections.emptyList());
List<Long> manualRejected = Optional.ofNullable(req.getManualRejectedSampleIds()).orElse(Collections.emptyList());
Set<Long> manualRejectedSet = new HashSet<>(manualRejected);
LinkedHashSet<Long> finalSampleSet = new LinkedHashSet<>();
manualAccepted.stream()
.filter(Objects::nonNull)
.forEach(finalSampleSet::add);
currentAccepted.stream()
.filter(Objects::nonNull)
.filter(id -> !manualRejectedSet.contains(id))
.forEach(finalSampleSet::add);
boolean hasManualChange = !manualAccepted.isEmpty() || !manualRejectedSet.isEmpty();
List<Long> finalSampleList = new ArrayList<>(finalSampleSet);
boolean needsUpdate = hasManualChange && !finalSampleList.equals(currentAccepted);
if (needsUpdate) {
if (finalSampleList.isEmpty()) {
throw new BaseException("至少需要保留一个样本");
}
handleCustomFaceMatching(faceId, finalSampleList);
}
if (Strings.isNotBlank(req.getRemark())) {
log.info("人脸识别人工调整备注：faceId={}, remark={}", faceId, req.getRemark());
}
return getRecognitionDetail(faceId);
}
@Override
public FaceRecognitionDetailVO getRecognitionDetail(Long faceId) {
if (faceId == null) {
throw new IllegalArgumentException("faceId 不能为空");
}
FaceEntity face = faceRepository.getFace(faceId);
if (face == null) {
throw new BaseException("人脸不存在");
}
FaceRecognitionDetailVO detail = new FaceRecognitionDetailVO();
detail.setFaceId(faceId);
detail.setMemberId(face.getMemberId());
detail.setScenicId(face.getScenicId());
detail.setFaceUrl(face.getFaceUrl());
detail.setScore(face.getScore());
detail.setFirstMatchRate(face.getFirstMatchRate() != null ? face.getFirstMatchRate().floatValue() : null);
detail.setLowThreshold(redisTemplate.hasKey(FACE_LOW_THRESHOLD_PFX + faceId));
detail.setLastMatchedAt(face.getUpdateAt() != null ? face.getUpdateAt() : face.getCreateAt());
String matchResultJson = face.getMatchResult();
if (Strings.isBlank(matchResultJson)) {
detail.setAcceptedSamples(Collections.emptyList());
detail.setFilteredSamples(Collections.emptyList());
return detail;
}
List<SearchFaceResultItem> resultItems = JacksonUtil.fromJsonToList(matchResultJson, SearchFaceResultItem.class);
if (resultItems == null) {
resultItems = Collections.emptyList();
}
List<Long> persistedAcceptedIds = parseMatchSampleIds(face.getMatchSampleIds());
LinkedHashSet<Long> sampleUniverse = new LinkedHashSet<>();
Map<Long, SearchFaceResultItem> itemBySampleId = new LinkedHashMap<>();
for (SearchFaceResultItem item : resultItems) {
Long sampleId = parseLongSilently(item.getExtData());
if (sampleId != null) {
sampleUniverse.add(sampleId);
itemBySampleId.putIfAbsent(sampleId, item);
}
}
sampleUniverse.addAll(persistedAcceptedIds);
List<Long> allSampleIds = new ArrayList<>(sampleUniverse);
if (allSampleIds.isEmpty()) {
detail.setAcceptedSamples(Collections.emptyList());
detail.setFilteredSamples(Collections.emptyList());
return detail;
}
List<FaceSampleEntity> allSamples = faceSampleMapper.listByIds(allSampleIds);
Map<Long, FaceSampleEntity> sampleEntityMap = allSamples.stream()
.collect(Collectors.toMap(FaceSampleEntity::getId, Function.identity(), (a, b) -> a, LinkedHashMap::new));
List<SourceEntity> sourceEntities = sourceMapper.listBySampleIds(allSampleIds);
Map<Long, SourceEntity> sourceBySampleId = sourceEntities.stream()
.collect(Collectors.toMap(SourceEntity::getFaceSampleId, Function.identity(), (a, b) -> a, LinkedHashMap::new));
Map<Long, SourceEntity> sourceById = sourceEntities.stream()
.collect(Collectors.toMap(SourceEntity::getId, Function.identity(), (a, b) -> a));
ScenicConfigManager scenicConfig = scenicRepository.getScenicConfigManager(face.getScenicId());
Float thresholdConfig = scenicConfig != null ? scenicConfig.getFloat("face_score_threshold") : null;
float threshold = thresholdConfig != null ? thresholdConfig / 100F : 0F;
List<Long> initialAcceptedIds = allSampleIds.stream()
.filter(id -> {
SearchFaceResultItem item = itemBySampleId.get(id);
return item != null && item.getScore() != null && item.getScore() > threshold;
})
.collect(Collectors.toList());
List<FaceSampleEntity> orderedSampleList = allSampleIds.stream()
.map(sampleEntityMap::get)
.filter(Objects::nonNull)
.collect(Collectors.toList());
SampleFilterTrace filterTrace = faceService.applySampleFiltersWithTrace(initialAcceptedIds, orderedSampleList, scenicConfig);
List<Long> systemAcceptedIds = filterTrace.getAcceptedSampleIds() == null
? Collections.emptyList()
: filterTrace.getAcceptedSampleIds();
Set<Long> initialAcceptedSet = new HashSet<>(initialAcceptedIds);
for (Long sampleId : allSampleIds) {
if (!initialAcceptedSet.contains(sampleId) && !systemAcceptedIds.contains(sampleId)) {
filterTrace.addReason(sampleId, FaceRecognitionFilterReason.SCORE_BELOW_THRESHOLD);
}
}
Set<Long> systemAcceptedSet = new HashSet<>(systemAcceptedIds);
Set<Long> persistedAcceptedSet = new HashSet<>(persistedAcceptedIds);
for (Long sampleId : systemAcceptedSet) {
if (!persistedAcceptedSet.contains(sampleId)) {
filterTrace.addReason(sampleId, FaceRecognitionFilterReason.MANUAL_REJECTED);
}
}
List<MemberSourceEntity> relations = new ArrayList<>();
List<MemberSourceEntity> videoRelations = memberRelationRepository.listSourceByFaceRelation(faceId, 1);
if (videoRelations != null) {
relations.addAll(videoRelations);
}
List<MemberSourceEntity> imageRelations = memberRelationRepository.listSourceByFaceRelation(faceId, 2);
if (imageRelations != null) {
relations.addAll(imageRelations);
}
Map<Long, MemberSourceEntity> relationBySampleId = new HashMap<>();
for (MemberSourceEntity relation : relations) {
SourceEntity source = sourceById.get(relation.getSourceId());
if (source != null && source.getFaceSampleId() != null) {
relationBySampleId.putIfAbsent(source.getFaceSampleId(), relation);
}
}
Map<Long, EnumSet<FaceRecognitionFilterReason>> reasonMap = filterTrace.getFilteredReasonMap();
Map<Long, DeviceEntity> deviceCache = new HashMap<>();
List<Long> acceptedOrdered = new ArrayList<>();
for (Long sampleId : allSampleIds) {
if (persistedAcceptedSet.contains(sampleId)) {
acceptedOrdered.add(sampleId);
}
}
for (Long sampleId : persistedAcceptedIds) {
if (!acceptedOrdered.contains(sampleId)) {
acceptedOrdered.add(sampleId);
}
}
List<FaceRecognitionSampleVO> acceptedSamples = acceptedOrdered.stream()
.map(sampleId -> buildSampleVO(
sampleId,
true,
itemBySampleId.get(sampleId),
sampleEntityMap.get(sampleId),
sourceBySampleId.get(sampleId),
relationBySampleId.get(sampleId),
deviceCache,
Collections.emptyList()))
.collect(Collectors.toList());
Set<Long> acceptedSet = new HashSet<>(acceptedOrdered);
List<FaceRecognitionSampleVO> filteredSamples = new ArrayList<>();
for (Long sampleId : allSampleIds) {
if (acceptedSet.contains(sampleId)) {
continue;
}
EnumSet<FaceRecognitionFilterReason> reasons = reasonMap.get(sampleId);
List<FaceRecognitionFilterReason> reasonList = reasons == null
? Collections.emptyList()
: new ArrayList<>(reasons);
filteredSamples.add(buildSampleVO(
sampleId,
false,
itemBySampleId.get(sampleId),
sampleEntityMap.get(sampleId),
sourceBySampleId.get(sampleId),
relationBySampleId.get(sampleId),
deviceCache,
reasonList));
}
detail.setAcceptedSamples(acceptedSamples);
detail.setFilteredSamples(filteredSamples);
return detail;
}
private List<Long> parseMatchSampleIds(String matchSampleIds) {
if (Strings.isBlank(matchSampleIds)) {
return Collections.emptyList();
}
String[] segments = matchSampleIds.split(",");
List<Long> result = new ArrayList<>(segments.length);
for (String segment : segments) {
Long id = parseLongSilently(segment);
if (id != null) {
result.add(id);
}
}
return result;
}
private Long parseLongSilently(String value) {
if (Strings.isBlank(value)) {
return null;
}
try {
return Long.valueOf(value.trim());
} catch (NumberFormatException e) {
return null;
}
}
private FaceRecognitionSampleVO buildSampleVO(Long sampleId,
boolean accepted,
SearchFaceResultItem resultItem,
FaceSampleEntity sampleEntity,
SourceEntity sourceEntity,
MemberSourceEntity relation,
Map<Long, DeviceEntity> deviceCache,
List<FaceRecognitionFilterReason> reasons) {
FaceRecognitionSampleVO vo = new FaceRecognitionSampleVO();
vo.setSampleId(sampleId);
vo.setAccepted(accepted);
if (resultItem != null) {
vo.setScore(resultItem.getScore());
}
if (sampleEntity != null) {
vo.setFaceUrl(sampleEntity.getFaceUrl());
vo.setDeviceId(sampleEntity.getDeviceId());
vo.setShotAt(sampleEntity.getCreateAt());
DeviceEntity device = getDeviceCached(sampleEntity.getDeviceId(), deviceCache);
if (device != null) {
vo.setDeviceName(device.getName());
}
}
if (sourceEntity != null) {
vo.setSourceId(sourceEntity.getId());
vo.setSourceType(sourceEntity.getType());
vo.setSourceUrl(resolveSourceUrl(sourceEntity));
}
if (relation != null) {
vo.setIsFree(relation.getIsFree());
vo.setIsBuy(relation.getIsBuy());
}
if (reasons != null && !reasons.isEmpty()) {
vo.setFilterReasons(new ArrayList<>(reasons));
vo.setFilterReasonTexts(reasons.stream()
.map(FaceRecognitionFilterReason::getDescription)
.collect(Collectors.toList()));
} else {
vo.setFilterReasons(Collections.emptyList());
vo.setFilterReasonTexts(Collections.emptyList());
}
return vo;
}
private DeviceEntity getDeviceCached(Long deviceId, Map<Long, DeviceEntity> cache) {
if (deviceId == null) {
return null;
}
if (cache.containsKey(deviceId)) {
return cache.get(deviceId);
}
DeviceEntity device = deviceRepository.getDevice(deviceId);
cache.put(deviceId, device);
return device;
}
private String resolveSourceUrl(SourceEntity sourceEntity) {
if (sourceEntity == null) {
return null;
}
if (!Strings.isBlank(sourceEntity.getUrl())) {
return sourceEntity.getUrl();
}
if (!Strings.isBlank(sourceEntity.getVideoUrl())) {
return sourceEntity.getVideoUrl();
}
if (!Strings.isBlank(sourceEntity.getThumbUrl())) {
return sourceEntity.getThumbUrl();
}
return null;
}
/**
* 合并多个搜索结果
*
*
* @param searchResults 搜索结果列表
* @param mergeMode 合并模式：0-并集，1-交集
* @return 合并后的结果
@@ -1250,7 +1583,7 @@ public class FaceServiceImpl implements FaceService {
if (searchResults == null || searchResults.isEmpty()) {
return mergedResult;
}
List<String> allSearchJsons = new ArrayList<>();
float maxScore = 0f;
float maxFirstMatchRate = 0f;
@@ -1289,7 +1622,7 @@ public class FaceServiceImpl implements FaceService {
finalSampleIds = new ArrayList<>(allSampleIds);
log.debug("使用并集模式合并搜索结果，并集样本数: {}", finalSampleIds.size());
}
mergedResult.setSampleListIds(finalSampleIds);
mergedResult.setSearchResultJson(String.join("|", allSearchJsons));
mergedResult.setScore(maxScore);
@@ -1309,52 +1642,52 @@ public class FaceServiceImpl implements FaceService {
if (searchResults == null || searchResults.isEmpty()) {
return new ArrayList<>();
}
// 过滤掉空结果
List<List<Long>> validSampleLists = searchResults.stream()
.filter(result -> result.getSampleListIds() != null && !result.getSampleListIds().isEmpty())
.map(SearchFaceRespVo::getSampleListIds)
.toList();
if (validSampleLists.isEmpty()) {
return new ArrayList<>();
}
// 如果只有一个有效结果，直接返回
if (validSampleLists.size() == 1) {
return new ArrayList<>(validSampleLists.getFirst());
}
// 计算交集：从第一个列表开始，保留在所有其他列表中都出现的ID
Set<Long> intersection = new LinkedHashSet<>(validSampleLists.getFirst());
for (int i = 1; i < validSampleLists.size(); i++) {
intersection.retainAll(validSampleLists.get(i));
}
return new ArrayList<>(intersection);
}
/**
* 创建直接结果（模式2：不搜索，直接使用用户选择的faceSampleIds）
*
*
* @param faceSampleIds 用户选择的人脸样本ID列表
* @return 搜索结果对象
*/
private SearchFaceRespVo createDirectResult(List<Long> faceSampleIds) {
SearchFaceRespVo result = new SearchFaceRespVo();
// 直接使用用户选择的faceSampleIds作为结果
result.setSampleListIds(new ArrayList<>(faceSampleIds));
// 设置默认值
result.setScore(1.0f);
result.setFirstMatchRate(1.0f);
result.setLowThreshold(false);
result.setSearchResultJson("");
log.debug("创建直接结果，样本数: {}", faceSampleIds.size());
return result;
}