Merge branch 'face_service_refactor'

# Conflicts:
#	src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java

src/main/java/com/ycwl/basic/constant/BuyStatus.java

@@ -0,0 +1,71 @@
+package com.ycwl.basic.constant;
+
+/**
+ * 购买状态枚举
+ * 定义源文件的已购买和未购买两种状态
+ *
+ * @author Claude
+ * @since 2025-10-31
+ */
+public enum BuyStatus {
+    /**
+     * 未购买状态
+     */
+    NOT_BOUGHT(0, "未购买"),
+
+    /**
+     * 已购买状态
+     */
+    BOUGHT(1, "已购买");
+
+    private final int code;
+    private final String description;
+
+    BuyStatus(int code, String description) {
+        this.code = code;
+        this.description = description;
+    }
+
+    public int getCode() {
+        return code;
+    }
+
+    public String getDescription() {
+        return description;
+    }
+
+    /**
+     * 根据代码值获取枚举
+     *
+     * @param code 状态代码
+     * @return 对应的枚举值，如果不存在返回 null
+     */
+    public static BuyStatus fromCode(int code) {
+        for (BuyStatus status : values()) {
+            if (status.code == code) {
+                return status;
+            }
+        }
+        return null;
+    }
+
+    /**
+     * 判断给定的代码是否为已购买状态
+     *
+     * @param code 状态代码
+     * @return true-已购买，false-未购买
+     */
+    public static boolean isBought(Integer code) {
+        return code != null && code == BOUGHT.code;
+    }
+
+    /**
+     * 判断给定的代码是否为未购买状态
+     *
+     * @param code 状态代码
+     * @return true-未购买，false-已购买
+     */
+    public static boolean isNotBought(Integer code) {
+        return code != null && code == NOT_BOUGHT.code;
+    }
+}

src/main/java/com/ycwl/basic/constant/FreeStatus.java

@@ -0,0 +1,71 @@
+package com.ycwl.basic.constant;
+
+/**
+ * 免费状态枚举
+ * 定义源文件的收费和免费两种状态
+ *
+ * @author Claude
+ * @since 2025-10-31
+ */
+public enum FreeStatus {
+    /**
+     * 收费状态
+     */
+    PAID(0, "收费"),
+
+    /**
+     * 免费状态
+     */
+    FREE(1, "免费");
+
+    private final int code;
+    private final String description;
+
+    FreeStatus(int code, String description) {
+        this.code = code;
+        this.description = description;
+    }
+
+    public int getCode() {
+        return code;
+    }
+
+    public String getDescription() {
+        return description;
+    }
+
+    /**
+     * 根据代码值获取枚举
+     *
+     * @param code 状态代码
+     * @return 对应的枚举值，如果不存在返回 null
+     */
+    public static FreeStatus fromCode(int code) {
+        for (FreeStatus status : values()) {
+            if (status.code == code) {
+                return status;
+            }
+        }
+        return null;
+    }
+
+    /**
+     * 判断给定的代码是否为免费状态
+     *
+     * @param code 状态代码
+     * @return true-免费，false-收费
+     */
+    public static boolean isFree(Integer code) {
+        return code != null && code == FREE.code;
+    }
+
+    /**
+     * 判断给定的代码是否为收费状态
+     *
+     * @param code 状态代码
+     * @return true-收费，false-免费
+     */
+    public static boolean isPaid(Integer code) {
+        return code != null && code == PAID.code;
+    }
+}

src/main/java/com/ycwl/basic/constant/SourceType.java

@@ -0,0 +1,71 @@
+package com.ycwl.basic.constant;
+
+/**
+ * 源文件类型枚举
+ * 定义视频和图片两种源文件类型
+ *
+ * @author Claude
+ * @since 2025-10-31
+ */
+public enum SourceType {
+    /**
+     * 视频类型
+     */
+    VIDEO(1, "视频"),
+
+    /**
+     * 图片类型
+     */
+    IMAGE(2, "图片");
+
+    private final int code;
+    private final String description;
+
+    SourceType(int code, String description) {
+        this.code = code;
+        this.description = description;
+    }
+
+    public int getCode() {
+        return code;
+    }
+
+    public String getDescription() {
+        return description;
+    }
+
+    /**
+     * 根据代码值获取枚举
+     *
+     * @param code 类型代码
+     * @return 对应的枚举值，如果不存在返回 null
+     */
+    public static SourceType fromCode(int code) {
+        for (SourceType type : values()) {
+            if (type.code == code) {
+                return type;
+            }
+        }
+        return null;
+    }
+
+    /**
+     * 判断给定的代码是否为视频类型
+     *
+     * @param code 类型代码
+     * @return true-是视频，false-不是视频
+     */
+    public static boolean isVideo(Integer code) {
+        return code != null && code == VIDEO.code;
+    }
+
+    /**
+     * 判断给定的代码是否为图片类型
+     *
+     * @param code 类型代码
+     * @return true-是图片，false-不是图片
+     */
+    public static boolean isImage(Integer code) {
+        return code != null && code == IMAGE.code;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/helper/FaceMetricsRecorder.java

@@ -0,0 +1,169 @@
+package com.ycwl.basic.service.pc.helper;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.stereotype.Component;
+
+import java.util.concurrent.TimeUnit;
+
+import static com.ycwl.basic.constant.FaceConstant.*;
+
+/**
+ * 人脸识别指标记录器
+ * 负责记录人脸识别相关的计数指标到Redis
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class FaceMetricsRecorder {
+
+    @Autowired
+    private RedisTemplate<String, String> redisTemplate;
+
+    /**
+     * 记录人脸识别次数到Redis
+     * 设置2天过期时间
+     *
+     * @param faceId 人脸ID
+     */
+    public void recordRecognitionCount(Long faceId) {
+        if (faceId == null) {
+            return;
+        }
+
+        try {
+            String redisKey = FACE_RECOGNITION_COUNT_PFX + faceId;
+
+            // 使用Redis原子操作INCR增加计数
+            Long count = redisTemplate.opsForValue().increment(redisKey);
+
+            // 设置2天过期时间(48小时)
+            redisTemplate.expire(redisKey, 2, TimeUnit.DAYS);
+
+            log.debug("人脸识别计数更新:faceId={}, count={}", faceId, count);
+
+        } catch (Exception e) {
+            // 计数失败不应影响主要业务逻辑,只记录错误日志
+            log.error("记录人脸识别次数失败:faceId={}", faceId, e);
+        }
+    }
+
+    /**
+     * 记录自定义人脸匹配次数到Redis
+     * 设置2天过期时间
+     *
+     * @param faceId 人脸ID
+     */
+    public void recordCustomMatchCount(Long faceId) {
+        if (faceId == null) {
+            return;
+        }
+
+        try {
+            String redisKey = FACE_CUSTOM_MATCH_COUNT_PFX + faceId;
+
+            Long count = redisTemplate.opsForValue().increment(redisKey);
+            redisTemplate.expire(redisKey, 2, TimeUnit.DAYS);
+
+            log.debug("自定义人脸匹配计数更新:faceId={}, count={}", faceId, count);
+        } catch (Exception e) {
+            log.error("记录自定义人脸匹配次数失败:faceId={}", faceId, e);
+        }
+    }
+
+    /**
+     * 记录低阈值检测的人脸ID到Redis
+     * 设置2天过期时间
+     *
+     * @param faceId 人脸ID
+     */
+    public void recordLowThreshold(Long faceId) {
+        if (faceId == null) {
+            return;
+        }
+
+        try {
+            String redisKey = FACE_LOW_THRESHOLD_PFX + faceId;
+
+            // 设置标记,表示该人脸ID触发了低阈值检测
+            redisTemplate.opsForValue().set(redisKey, "1", 2, TimeUnit.DAYS);
+
+            log.debug("记录低阈值检测人脸:faceId={}", faceId);
+
+        } catch (Exception e) {
+            // 记录失败不应影响主要业务逻辑,只记录错误日志
+            log.error("记录低阈值检测人脸失败:faceId={}", faceId, e);
+        }
+    }
+
+    /**
+     * 获取人脸识别次数
+     *
+     * @param faceId 人脸ID
+     * @return 识别次数
+     */
+    public long getRecognitionCount(Long faceId) {
+        if (faceId == null) {
+            return 0L;
+        }
+
+        try {
+            String countKey = FACE_RECOGNITION_COUNT_PFX + faceId;
+            String countStr = redisTemplate.opsForValue().get(countKey);
+            if (countStr != null) {
+                return Long.parseLong(countStr);
+            }
+        } catch (Exception e) {
+            log.warn("获取识别次数失败:faceId={}", faceId, e);
+        }
+
+        return 0L;
+    }
+
+    /**
+     * 获取自定义匹配次数
+     *
+     * @param faceId 人脸ID
+     * @return 自定义匹配次数
+     */
+    public long getCustomMatchCount(Long faceId) {
+        if (faceId == null) {
+            return 0L;
+        }
+
+        try {
+            String customMatchKey = FACE_CUSTOM_MATCH_COUNT_PFX + faceId;
+            String customMatchCountStr = redisTemplate.opsForValue().get(customMatchKey);
+            if (customMatchCountStr != null) {
+                return Long.parseLong(customMatchCountStr);
+            }
+        } catch (Exception e) {
+            log.warn("获取自定义匹配次数失败:faceId={}", faceId, e);
+        }
+
+        return 0L;
+    }
+
+    /**
+     * 检查是否触发过低阈值检测
+     *
+     * @param faceId 人脸ID
+     * @return 是否触发过低阈值检测
+     */
+    public boolean hasLowThreshold(Long faceId) {
+        if (faceId == null) {
+            return false;
+        }
+
+        try {
+            String lowThresholdKey = FACE_LOW_THRESHOLD_PFX + faceId;
+            return Boolean.TRUE.equals(redisTemplate.hasKey(lowThresholdKey));
+        } catch (Exception e) {
+            log.warn("检查低阈值状态失败:faceId={}", faceId, e);
+            return false;
+        }
+    }
+}

src/main/java/com/ycwl/basic/service/pc/helper/ScenicConfigFacade.java

@@ -0,0 +1,214 @@
+package com.ycwl.basic.service.pc.helper;
+
+import com.ycwl.basic.repository.ScenicRepository;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+/**
+ * 景区配置门面类
+ * 提供类型安全的配置访问方法，避免配置键的字符串硬编码
+ * 集中管理所有景区配置项的访问逻辑
+ *
+ * @author Claude
+ * @since 2025-10-31
+ */
+@Slf4j
+@Component
+public class ScenicConfigFacade {
+
+    @Autowired
+    private ScenicRepository scenicRepository;
+
+    /**
+     * 获取景区配置管理器
+     */
+    private ScenicConfigManager getConfig(Long scenicId) {
+        return scenicRepository.getScenicConfigManager(scenicId);
+    }
+
+    // ==================== 人脸识别相关配置 ====================
+
+    /**
+     * 是否优先手动选择人脸
+     * 如果为 true，则不自动创建任务
+     *
+     * @param scenicId 景区ID
+     * @return true-需要手动选择，false-自动创建任务
+     */
+    public boolean isFaceSelectFirst(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return false;
+        }
+        Boolean value = config.getBoolean("face_select_first");
+        return Boolean.TRUE.equals(value);
+    }
+
+    /**
+     * 获取自定义人脸匹配的最大次数
+     * 用于限制用户手动重新匹配的次数
+     *
+     * @param scenicId 景区ID
+     * @return 最大匹配次数，null 或 0 表示不限制
+     */
+    public Integer getFaceSelectMaxCount(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return null;
+        }
+        return config.getInteger("face_select_max_count");
+    }
+
+    /**
+     * 获取人脸分数低阈值
+     * 低于此分数的匹配结果会被标记为低置信度
+     *
+     * @param scenicId 景区ID
+     * @return 分数阈值，默认 30.0
+     */
+    public Float getFaceScoreLowThreshold(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return 30.0F;
+        }
+        return config.getFloat("face_score_low_threshold", 30.0F);
+    }
+
+    /**
+     * 获取人脸检测辅助阈值
+     * 当匹配结果数量少于此阈值时，会触发补救逻辑
+     *
+     * @param scenicId 景区ID
+     * @return 辅助阈值，默认 0（不启用）
+     */
+    public Integer getFaceDetectHelperThreshold(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return 0;
+        }
+        return config.getInteger("face_detect_helper_threshold", 0);
+    }
+
+    /**
+     * 获取人脸选择后处理模式
+     * 0-并集模式，1-交集模式
+     *
+     * @param scenicId 景区ID
+     * @return 后处理模式，默认 0
+     */
+    public Integer getFaceSelectPostMode(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return 0;
+        }
+        return config.getInteger("face_select_post_mode", 0);
+    }
+
+    /**
+     * 获取重新匹配模式
+     * 用于决定在什么条件下需要重新进行人脸匹配
+     *
+     * @param scenicId 景区ID
+     * @return 匹配模式，默认 0
+     */
+    public Integer getRematchMode(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return 0;
+        }
+        return config.getInteger("re_match_mode", 0);
+    }
+
+    // ==================== 源文件相关配置 ====================
+
+    /**
+     * 是否禁用源图片功能
+     *
+     * @param scenicId 景区ID
+     * @return true-禁用，false-启用
+     */
+    public boolean isDisableSourceImage(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return false;
+        }
+        Boolean value = config.getBoolean("disable_source_image");
+        return Boolean.TRUE.equals(value);
+    }
+
+    /**
+     * 是否禁用源视频功能
+     *
+     * @param scenicId 景区ID
+     * @return true-禁用，false-启用
+     */
+    public boolean isDisableSourceVideo(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return false;
+        }
+        Boolean value = config.getBoolean("disable_source_video");
+        return Boolean.TRUE.equals(value);
+    }
+
+    /**
+     * 获取免费照片数量
+     * 新用户首次识别时赠送的免费照片数量
+     *
+     * @param scenicId 景区ID
+     * @return 免费照片数量，null 或 0 表示不赠送
+     */
+    public Integer getPhotoFreeNum(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return null;
+        }
+        return config.getInteger("photo_free_num");
+    }
+
+    // ==================== 游玩时间相关配置 ====================
+
+    /**
+     * 获取最大游玩时间（分钟）
+     * 用于判断照片是否在合理的游玩时间范围内
+     *
+     * @param scenicId 景区ID
+     * @return 最大游玩时间（分钟），null 表示不限制
+     */
+    public Integer getTourTime(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return null;
+        }
+        return config.getInteger("tour_time");
+    }
+
+    /**
+     * 获取最小游玩时间（分钟）
+     * 用于判断照片是否在合理的游玩时间范围内
+     *
+     * @param scenicId 景区ID
+     * @return 最小游玩时间（分钟），null 表示不限制
+     */
+    public Integer getTourMinTime(Long scenicId) {
+        ScenicConfigManager config = getConfig(scenicId);
+        if (config == null) {
+            return null;
+        }
+        return config.getInteger("tour_min_time");
+    }
+
+    /**
+     * 检查是否配置了游玩时间限制
+     *
+     * @param scenicId 景区ID
+     * @return true-已配置，false-未配置
+     */
+    public boolean hasTourTimeConfig(Long scenicId) {
+        Integer maxTime = getTourTime(scenicId);
+        Integer minTime = getTourMinTime(scenicId);
+        return maxTime != null && minTime != null;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/helper/SearchResultMerger.java

@@ -0,0 +1,154 @@
+package com.ycwl.basic.service.pc.helper;
+
+import com.ycwl.basic.model.task.resp.SearchFaceRespVo;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * 搜索结果合并器
+ * 负责合并多个人脸搜索结果
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class SearchResultMerger {
+
+    /**
+     * 合并多个搜索结果(默认使用并集模式)
+     *
+     * @param searchResults 搜索结果列表
+     * @return 合并后的结果
+     */
+    public SearchFaceRespVo merge(List<SearchFaceRespVo> searchResults) {
+        return merge(searchResults, 0);
+    }
+
+    /**
+     * 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
+     */
+    public SearchFaceRespVo merge(List<SearchFaceRespVo> searchResults, Integer mergeMode) {
+        SearchFaceRespVo mergedResult = new SearchFaceRespVo();
+
+        if (searchResults == null || searchResults.isEmpty()) {
+            return mergedResult;
+        }
+
+        List<String> allSearchJsons = new ArrayList<>();
+        float maxScore = 0f;
+        float maxFirstMatchRate = 0f;
+        boolean hasLowThreshold = false;
+
+        // 收集基础信息
+        for (SearchFaceRespVo result : searchResults) {
+            if (result.getSearchResultJson() != null) {
+                allSearchJsons.add(result.getSearchResultJson());
+            }
+            if (result.getScore() > maxScore) {
+                maxScore = result.getScore();
+            }
+            if (result.getFirstMatchRate() > maxFirstMatchRate) {
+                maxFirstMatchRate = result.getFirstMatchRate();
+            }
+            if (result.isLowThreshold()) {
+                hasLowThreshold = true;
+            }
+        }
+
+        // 根据合并模式处理样本ID
+        List<Long> finalSampleIds;
+        if (Integer.valueOf(1).equals(mergeMode)) {
+            // 模式1:交集 - 只保留所有搜索结果中都出现的样本ID
+            finalSampleIds = computeIntersection(searchResults);
+            log.debug("使用交集模式合并搜索结果,交集样本数: {}", finalSampleIds.size());
+        } else {
+            // 模式0:并集(默认) - 收集所有样本ID并去重
+            Set<Long> allSampleIds = new LinkedHashSet<>();
+            for (SearchFaceRespVo result : searchResults) {
+                if (result.getSampleListIds() != null) {
+                    allSampleIds.addAll(result.getSampleListIds());
+                }
+            }
+            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);
+        mergedResult.setFirstMatchRate(maxFirstMatchRate);
+        mergedResult.setLowThreshold(hasLowThreshold);
+
+        log.debug("合并搜索结果完成,模式={}, 最终样本数: {}", mergeMode, finalSampleIds.size());
+
+        return mergedResult;
+    }
+
+    /**
+     * 计算多个搜索结果的交集
+     * 返回在所有搜索结果中都出现的样本ID
+     *
+     * @param searchResults 搜索结果列表
+     * @return 交集样本ID列表
+     */
+    public List<Long> computeIntersection(List<SearchFaceRespVo> searchResults) {
+        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
+     */
+    public 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;
+    }
+}

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

@@ -6,7 +6,6 @@ import com.github.pagehelper.PageInfo;
 import com.ycwl.basic.biz.OrderBiz;
 import com.ycwl.basic.biz.TemplateBiz;
 import com.ycwl.basic.constant.BaseContextHandler;
-import com.ycwl.basic.enums.StatisticEnum;
 import com.ycwl.basic.exception.BaseException;
 import com.ycwl.basic.facebody.adapter.IFaceBodyAdapter;
 import com.ycwl.basic.facebody.entity.SearchFaceResultItem;
@@ -24,7 +23,6 @@ import com.ycwl.basic.model.mobile.face.FaceStatusResp;
 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.mobile.face.FaceRecognitionUpdateReq;
@@ -58,6 +56,18 @@ import com.ycwl.basic.repository.VideoTaskRepository;
 import com.ycwl.basic.service.mobile.GoodsService;
 import com.ycwl.basic.service.pc.FaceService;
 import com.ycwl.basic.service.pc.ScenicService;
+import com.ycwl.basic.constant.SourceType;
+import com.ycwl.basic.service.pc.helper.FaceMetricsRecorder;
+import com.ycwl.basic.service.pc.helper.SearchResultMerger;
+import com.ycwl.basic.service.pc.helper.ScenicConfigFacade;
+import com.ycwl.basic.service.pc.orchestrator.FaceMatchingOrchestrator;
+import com.ycwl.basic.service.pc.processor.BuyStatusProcessor;
+import com.ycwl.basic.service.pc.processor.FaceRecoveryStrategy;
+import com.ycwl.basic.service.pc.processor.SourceRelationProcessor;
+import com.ycwl.basic.service.pc.processor.VideoRecreationHandler;
+import com.ycwl.basic.service.pc.strategy.RematchContext;
+import com.ycwl.basic.service.pc.strategy.RematchModeStrategy;
+import com.ycwl.basic.service.pc.strategy.RematchStrategyFactory;
 import com.ycwl.basic.service.printer.PrinterService;
 import com.ycwl.basic.service.task.TaskFaceService;
 import com.ycwl.basic.service.task.TaskService;
@@ -65,12 +75,10 @@ import com.ycwl.basic.storage.StorageFactory;
 import com.ycwl.basic.storage.adapters.IStorageAdapter;
 import com.ycwl.basic.storage.enums.StorageAcl;
 import com.ycwl.basic.storage.utils.StorageUtil;
-import com.ycwl.basic.task.VideoPieceGetter;
 import com.ycwl.basic.utils.*;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.logging.log4j.util.Strings;
 import org.springframework.beans.factory.annotation.Autowired;
-import org.springframework.data.redis.core.RedisTemplate;
 import org.springframework.stereotype.Service;
 import org.springframework.web.multipart.MultipartFile;
 
@@ -78,10 +86,8 @@ import java.io.File;
 import java.math.BigDecimal;
 import java.util.ArrayList;
 import java.util.Collections;
-import java.util.Comparator;
 import java.util.Date;
 import java.util.HashMap;
-import java.util.HashSet;
 import java.util.LinkedHashMap;
 import java.util.LinkedHashSet;
 import java.util.List;
@@ -90,14 +96,9 @@ 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;
 
-import static com.ycwl.basic.constant.FaceConstant.FACE_CUSTOM_MATCH_COUNT_PFX;
-import static com.ycwl.basic.constant.FaceConstant.FACE_LOW_THRESHOLD_PFX;
-import static com.ycwl.basic.constant.FaceConstant.FACE_RECOGNITION_COUNT_PFX;
 import static com.ycwl.basic.constant.FaceConstant.USER_FACE_DB_NAME;
 import static com.ycwl.basic.constant.StorageConstant.USER_FACE;
 
@@ -130,8 +131,6 @@ public class FaceServiceImpl implements FaceService {
     @Autowired
     private ScenicService scenicService;
     @Autowired
-    private TemplateMapper templateMapper;
-    @Autowired
     private VideoRepository videoRepository;
     @Autowired
     private VideoTaskRepository videoTaskRepository;
@@ -142,8 +141,6 @@ public class FaceServiceImpl implements FaceService {
     @Autowired
     private OrderMapper orderMapper;
     @Autowired
-    private RedisTemplate<String, String> redisTemplate;
-    @Autowired
     private FaceSampleMapper faceSampleMapper;
     @Autowired
     private GoodsService goodsService;
@@ -156,6 +153,30 @@ public class FaceServiceImpl implements FaceService {
     @Autowired
     private PrinterService printerService;
 
+    // 第一阶段的辅助类
+    @Autowired
+    private FaceMetricsRecorder metricsRecorder;
+    @Autowired
+    private SearchResultMerger resultMerger;
+    @Autowired
+    private RematchStrategyFactory rematchStrategyFactory;
+    @Autowired
+    private ScenicConfigFacade scenicConfigFacade;
+
+    // 编排器
+    @Autowired
+    private FaceMatchingOrchestrator faceMatchingOrchestrator;
+
+    // 第二阶段的处理器
+    @Autowired
+    private SourceRelationProcessor sourceRelationProcessor;
+    @Autowired
+    private BuyStatusProcessor buyStatusProcessor;
+    @Autowired
+    private VideoRecreationHandler videoRecreationHandler;
+    @Autowired
+    private FaceRecoveryStrategy faceRecoveryStrategy;
+
     @Override
     public ApiResponse<PageInfo<FaceRespVO>> pageQuery(FaceReqQuery faceReqQuery) {
         PageHelper.startPage(faceReqQuery.getPageNum(),faceReqQuery.getPageSize());
@@ -268,11 +289,11 @@ public class FaceServiceImpl implements FaceService {
         resp.setUrl(faceUrl);
         resp.setFaceId(newFaceId);
         matchFaceId(newFaceId, oldFaceId == null);
-        
+
         // 异步执行自动添加打印
         Long finalFaceId = newFaceId;
         new Thread(() -> autoAddPhotosToPreferPrint(finalFaceId), "auto-add-print-" + newFaceId).start();
-        
+
         return resp;
     }
 
@@ -284,427 +305,45 @@ public class FaceServiceImpl implements FaceService {
 
     @Override
     public SearchFaceRespVo matchFaceId(Long faceId) {
-        return matchFaceId(faceId, false);
+        return faceMatchingOrchestrator.orchestrateMatching(faceId, false);
     }
 
     @Override
     public SearchFaceRespVo matchFaceId(Long faceId, boolean isNew) {
-        if (faceId == null) {
+        return faceMatchingOrchestrator.orchestrateMatching(faceId, isNew);
-            throw new IllegalArgumentException("faceId 不能为空");
-        }
-        // 1. 数据准备：获取人脸信息、景区配置、适配器等
-        FaceEntity face = faceRepository.getFace(faceId);
-        if (face == null) {
-            log.warn("人脸不存在，faceId: {}", faceId);
-            return null;
-        }
-
-        if (!isNew && Integer.valueOf(1).equals(face.getIsManual())) {
-            log.info("人工选择的，无需匹配，faceId: {}", faceId);
-            return null;
-        }
-        log.debug("开始人脸匹配：faceId={}, isNew={}", faceId, isNew);
-        
-        // 记录识别次数到Redis，设置2天过期时间
-        recordFaceRecognitionCount(faceId);
-        
-        try {
-
-            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");
-            }
-            
-            // 2. 人脸识别：执行人脸搜索和补救逻辑
-            SearchFaceRespVo scenicDbSearchResult;
-            try {
-                scenicDbSearchResult = faceService.searchFace(faceBodyAdapter, 
-                                                             String.valueOf(face.getScenicId()), 
-                                                             face.getFaceUrl(), 
-                                                             "人脸识别");
-            } catch (Exception e) {
-                log.error("人脸识别服务调用失败，faceId={}, scenicId={}", faceId, face.getScenicId(), e);
-                throw new BaseException("人脸识别失败，请换一张试试把~");
-            }
-            
-            if (scenicDbSearchResult == null) {
-                log.warn("人脸识别返回结果为空，faceId={}", faceId);
-                throw new BaseException("人脸识别失败，请换一张试试把~");
-            }
-
-            // 执行补救逻辑（如需要）
-            scenicDbSearchResult = executeFaceRecoveryLogic(scenicDbSearchResult, scenicConfig, 
-                                                           faceBodyAdapter, face.getScenicId());
-            
-            // 3. 结果处理：更新人脸实体信息
-            try {
-                updateFaceEntityResult(face, scenicDbSearchResult, faceId);
-            } catch (Exception e) {
-                log.error("更新人脸结果失败，faceId={}", faceId, e);
-                throw new BaseException("保存人脸识别结果失败");
-            }
-            
-            List<Long> sampleListIds = scenicDbSearchResult.getSampleListIds();
-            if (sampleListIds != null && !sampleListIds.isEmpty()) {
-                try {
-                    // 4. 源文件关联：处理匹配到的源文件
-                    List<MemberSourceEntity> memberSourceEntityList = processMemberSources(sampleListIds, face);
-                    
-                    if (!memberSourceEntityList.isEmpty()) {
-                        // 5. 业务逻辑处理：免费逻辑、购买状态、任务创建
-                        List<Long> freeSourceIds = processFreeSourceLogic(memberSourceEntityList, scenicConfig, isNew);
-                        processBuyStatus(memberSourceEntityList, freeSourceIds, face.getMemberId(), 
-                                       face.getScenicId(), faceId);
-                        
-                        // 处理视频重切逻辑
-                        handleVideoRecreation(scenicConfig, memberSourceEntityList, faceId, 
-                                             face.getMemberId(), sampleListIds, isNew);
-                        
-                        // 过滤已存在的关联关系和无效的source引用，防止数据不一致
-                        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());
-                        } 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);
-                        
-                        // 检查景区配置中的 face_select_first，如果为 true 则不自动创建任务
-                        Boolean faceSelectFirst = scenicConfig != null ? scenicConfig.getBoolean("face_select_first") : null;
-                        if (!Boolean.TRUE.equals(faceSelectFirst)) {
-                            taskTaskService.autoCreateTaskByFaceId(faceId);
-                        } else {
-                            log.debug("景区配置 face_select_first=true，跳过自动创建任务：faceId={}", faceId);
-                        }
-                        
-                        log.info("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());
-                    }
-                } 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，记录错误但不抛出异常
-                }
-            } else {
-                log.warn("人脸匹配无结果：faceId={}", faceId);
-                
-                // 检查低阈值检测结果，如果为true则记录该人脸ID到Redis
-                if (scenicDbSearchResult != null && scenicDbSearchResult.isLowThreshold()) {
-                    recordLowThresholdFace(faceId);
-                    log.debug("触发低阈值检测，记录faceId: {}", faceId);
-                }
-            }
-            
-            return scenicDbSearchResult;
-            
-        } catch (BaseException e) {
-            // 业务异常直接抛出
-            throw e;
-        } catch (Exception e) {
-            log.error("人脸匹配处理异常，faceId={}, isNew={}", faceId, isNew, e);
-            throw new BaseException("人脸匹配处理失败，请稍后重试");
-        }
     }
 
     /**
      * 更新人脸实体结果信息
+     * 仅用于 handleCustomFaceMatching 方法
      */
     private void updateFaceEntityResult(FaceEntity originalFace, SearchFaceRespVo searchResult, Long faceId) {
         FaceEntity faceEntity = new FaceEntity();
         faceEntity.setId(faceId);
         faceEntity.setScore(searchResult.getScore());
         faceEntity.setMatchResult(searchResult.getSearchResultJson());
-        
+
         if (searchResult.getFirstMatchRate() != null) {
             faceEntity.setFirstMatchRate(BigDecimal.valueOf(searchResult.getFirstMatchRate()));
         }
-        
+
         if (searchResult.getSampleListIds() != null) {
             faceEntity.setMatchSampleIds(searchResult.getSampleListIds().stream()
                     .map(String::valueOf)
                     .collect(Collectors.joining(",")));
         }
-        
+
         faceEntity.setCreateAt(new Date());
         faceEntity.setScenicId(originalFace.getScenicId());
         faceEntity.setMemberId(originalFace.getMemberId());
         faceEntity.setFaceUrl(originalFace.getFaceUrl());
-        
+
         faceMapper.update(faceEntity);
         faceRepository.clearFaceCache(faceEntity.getId());
-        
-        log.debug("人脸结果更新完成：faceId={}, score={}, 匹配数={}", 
-                 faceId, searchResult.getScore(), 
-                 searchResult.getSampleListIds() != null ? searchResult.getSampleListIds().size() : 0);
-    }
 
-    /**
+        log.debug("人脸结果更新完成：faceId={}, score={}, 匹配数={}",
-     * 执行人脸识别补救逻辑
+                faceId, searchResult.getScore(),
-     * 当匹配结果数量少于阈值时，使用第一个匹配结果重新进行人脸搜索
+                searchResult.getSampleListIds() != null ? searchResult.getSampleListIds().size() : 0);
-     */
-    private SearchFaceRespVo executeFaceRecoveryLogic(SearchFaceRespVo originalResult, 
-                                                     ScenicConfigManager scenicConfig,
-                                                     IFaceBodyAdapter faceBodyAdapter,
-                                                     Long scenicId) {
-        if (originalResult == null || originalResult.getSampleListIds() == null || 
-            originalResult.getFirstMatchRate() == null || originalResult.getSampleListIds().isEmpty()) {
-            return originalResult;
-        }
-
-        if (scenicConfig == null) {
-            return originalResult;
-        }
-
-        // 检查是否需要执行补救逻辑
-        Integer helperThreshold = scenicConfig.getInteger("face_detect_helper_threshold", 0);
-        if (helperThreshold == null || helperThreshold <= 0) {
-            return originalResult;
-        }
-
-        // 检查匹配结果数量是否少于阈值
-        if (originalResult.getSampleListIds().size() >= helperThreshold) {
-            return originalResult;
-        }
-
-        log.info("执行人脸识别补救逻辑，原匹配数量: {}, 阈值: {}",
-                 originalResult.getSampleListIds().size(), helperThreshold);
-
-        // 获取第一个匹配结果
-        Long firstResultId = originalResult.getSampleListIds().getFirst();
-        FaceSampleEntity faceSample = faceRepository.getFaceSample(firstResultId);
-        
-        if (faceSample == null) {
-            log.warn("补救逻辑失败：无法找到人脸样本, sampleId: {}", firstResultId);
-            return originalResult;
-        }
-
-        // 使用人脸样本重新进行搜索
-        try {
-            SearchFaceRespVo recoveryResult = faceService.searchFace(faceBodyAdapter, 
-                                                                    String.valueOf(scenicId), 
-                                                                    faceSample.getFaceUrl(), 
-                                                                    "人脸补救措施1");
-            
-            if (recoveryResult != null && recoveryResult.getSampleListIds() != null && 
-                !recoveryResult.getSampleListIds().isEmpty()) {
-                log.info("补救逻辑成功，新匹配数量: {}", recoveryResult.getSampleListIds().size());
-                return recoveryResult;
-            }
-        } catch (Exception e) {
-            log.warn("补救逻辑执行失败", e);
-        }
-
-        return originalResult;
-    }
-
-    /**
-     * 处理源文件关联逻辑
-     * 根据匹配的样本ID创建MemberSourceEntity列表
-     */
-    private List<MemberSourceEntity> processMemberSources(List<Long> sampleListIds, FaceEntity face) {
-        if (sampleListIds == null || sampleListIds.isEmpty()) {
-            return Collections.emptyList();
-        }
-
-        List<SourceEntity> sourceEntities = sourceMapper.listBySampleIds(sampleListIds);
-        if (sourceEntities.isEmpty()) {
-            return Collections.emptyList();
-        }
-
-        List<SourceEntity> filteredSourceEntities = sourceEntities.stream()
-                .sorted(Comparator.comparing(SourceEntity::getCreateTime).reversed())
-                .collect(Collectors.groupingBy(SourceEntity::getDeviceId))
-                .entrySet()
-                .stream().flatMap(entry -> {
-                    DeviceConfigManager configManager = deviceRepository.getDeviceConfigManager(entry.getKey());
-                    if (configManager.getInteger("limit_video", 0) > 0) {
-                        return Stream.concat(
-                                entry.getValue().stream().filter(item -> item.getType() == 2),
-                                entry.getValue().stream().filter(item -> item.getType() == 1).limit(Math.min(entry.getValue().size(), configManager.getInteger("limit_video", 0)))
-                        );
-                    }
-                    return entry.getValue().stream();
-                }).toList();
-        return filteredSourceEntities.stream().map(sourceEntity -> {
-            DeviceConfigManager deviceConfig = deviceRepository.getDeviceConfigManager(sourceEntity.getDeviceId());
-            MemberSourceEntity memberSourceEntity = new MemberSourceEntity();
-            memberSourceEntity.setScenicId(face.getScenicId());
-            memberSourceEntity.setFaceId(face.getId());
-            memberSourceEntity.setMemberId(face.getMemberId());
-            memberSourceEntity.setSourceId(sourceEntity.getId());
-            memberSourceEntity.setType(sourceEntity.getType());
-            
-            // 设置免费状态 - 默认收费
-            memberSourceEntity.setIsFree(0);
-            
-            if (deviceConfig != null) {
-                // 视频类型检查
-                if (sourceEntity.getType() == 1) {
-                    if (Integer.valueOf(1).equals(deviceConfig.getInteger("video_free"))) {
-                        memberSourceEntity.setIsFree(1);
-                    }
-                } 
-                // 图片类型检查
-                else if (sourceEntity.getType() == 2) {
-                    if (Integer.valueOf(1).equals(deviceConfig.getInteger("image_free"))) {
-                        memberSourceEntity.setIsFree(1);
-                    }
-                }
-            }
-            
-            return memberSourceEntity;
-        }).collect(Collectors.toList());
-    }
-
-    /**
-     * 处理免费源文件逻辑
-     * 根据景区配置和是否新用户决定哪些照片可以免费
-     */
-    private List<Long> processFreeSourceLogic(List<MemberSourceEntity> memberSourceEntityList, 
-                                            ScenicConfigManager scenicConfig, 
-                                            boolean isNew) {
-        List<Long> freeSourceIds = new ArrayList<>();
-        
-        if (memberSourceEntityList.isEmpty()) {
-            return freeSourceIds;
-        }
-
-        if (isNew) {
-            // 新用户送照片逻辑
-            List<MemberSourceEntity> photoSource = memberSourceEntityList.stream()
-                    .filter(item -> item.getIsFree() == 0)  // 只考虑收费的
-                    .filter(item -> Integer.valueOf(2).equals(item.getType()))  // 只考虑照片类型
-                    .toList();
-
-            Integer photoFreeNum = scenicConfig != null ? scenicConfig.getInteger("photo_free_num") : null;
-            if (scenicConfig != null && photoFreeNum != null && photoFreeNum > 0) {
-                
-                int freePhotoCount = Math.min(photoFreeNum, photoSource.size());
-                freeSourceIds.addAll(photoSource.stream()
-                        .limit(freePhotoCount)
-                        .map(MemberSourceEntity::getSourceId)
-                        .toList());
-                
-                log.debug("新用户免费照片逻辑：配置免费数量 {}, 实际可用 {}, 赠送 {} 张", 
-                         photoFreeNum, photoSource.size(), freePhotoCount);
-            }
-        }
-
-        return freeSourceIds;
-    }
-
-    /**
-     * 处理购买状态逻辑
-     * 设置每个源文件的购买状态和免费状态
-     */
-    private void processBuyStatus(List<MemberSourceEntity> memberSourceEntityList,
-                                List<Long> freeSourceIds,
-                                Long memberId,
-                                Long scenicId,
-                                Long faceId) {
-        if (memberSourceEntityList.isEmpty()) {
-            return;
-        }
-
-        // 获取用户购买状态
-        IsBuyRespVO isBuy = orderBiz.isBuy(memberId, scenicId, 
-                                          memberSourceEntityList.getFirst().getType(), 
-                                          faceId);
-        
-        for (MemberSourceEntity memberSourceEntity : memberSourceEntityList) {
-            // 设置购买状态
-            if (isBuy.isBuy()) { 
-                // 如果用户买过
-                memberSourceEntity.setIsBuy(1);
-            } else if (isBuy.isFree()) { 
-                // 全免费逻辑
-                memberSourceEntity.setIsBuy(1);
-            } else {
-                memberSourceEntity.setIsBuy(0);
-            }
-            
-            // 设置免费状态
-            if (freeSourceIds.contains(memberSourceEntity.getSourceId())) {
-                memberSourceEntity.setIsFree(1);
-            }
-        }
-        
-        log.debug("购买状态处理完成：用户购买状态 isBuy={}, isFree={}, 免费源文件数量={}", 
-                 isBuy.isBuy(), isBuy.isFree(), freeSourceIds.size());
-    }
-
-    /**
-     * 处理视频重切逻辑
-     * 当非新用户且照片数量大于视频数量时，创建视频重切任务
-     */
-    private void handleVideoRecreation(ScenicConfigManager scenicConfig,
-                                     List<MemberSourceEntity> memberSourceEntityList,
-                                     Long faceId,
-                                     Long memberId,
-                                     List<Long> sampleListIds,
-                                     boolean isNew) {
-        // 新用户不执行视频重切逻辑
-        if (isNew) {
-            return;
-        }
-
-        // 检查景区是否禁用源视频功能
-        Boolean disableSourceVideo = scenicConfig != null ? scenicConfig.getBoolean("disable_source_video") : null;
-        if (scenicConfig == null || Boolean.TRUE.equals(disableSourceVideo)) {
-            log.debug("视频重切逻辑跳过：景区禁用了源视频功能");
-            return;
-        }
-
-        // 统计视频和照片数量
-        long videoCount = memberSourceEntityList.stream()
-                .filter(item -> Integer.valueOf(1).equals(item.getType()))
-                .count();
-        long photoCount = memberSourceEntityList.stream()
-                .filter(item -> Integer.valueOf(2).equals(item.getType()))
-                .count();
-
-        List<FaceSampleEntity> faceSampleList = faceRepository.getFaceSampleList(faceId);
-        if (faceSampleList.isEmpty()) {
-            log.info("faceId:{} sample list not exist", faceId);
-            return;
-        }
-        List<Long> faceSampleIds = faceSampleList.stream()
-                .sorted(Comparator.comparing(FaceSampleEntity::getCreateAt).reversed())
-                .collect(Collectors.groupingBy(FaceSampleEntity::getDeviceId))
-                .entrySet()
-                .stream().flatMap(entry -> {
-                    DeviceConfigManager configManager = deviceRepository.getDeviceConfigManager(entry.getKey());
-                    if (configManager.getInteger("limit_video", 0) > 0) {
-                        return entry.getValue().subList(0, Math.min(entry.getValue().size(), configManager.getInteger("limit_video", 0))).stream();
-                    }
-                    return entry.getValue().stream();
-                }).toList()
-                .stream().map(FaceSampleEntity::getId).toList();
-        log.info("视频切分任务: faceId={}, 原始数量={}, 筛选后数量={}", faceId, faceSampleList.size(), faceSampleIds.size());
-        log.debug("视频重切逻辑：视频数量 {}, 照片数量 {}", videoCount, photoCount);
-
-        // 只有照片数量大于视频数量时才创建重切任务
-        if (photoCount > videoCount) {
-            VideoPieceGetter.Task task = new VideoPieceGetter.Task();
-            task.faceId = faceId;
-            task.faceSampleIds = faceSampleIds;
-            task.templateId = null;
-            task.memberId = memberId;
-            task.callback = () -> {
-                log.info("视频重切任务回调: {}", task);
-            };
-            
-            VideoPieceGetter.addTask(task);
-            log.debug("视频重切任务已创建：faceId={}, memberId={}, sampleIds={}", 
-                     faceId, memberId, sampleListIds.size());
-        } else {
-            log.debug("视频重切逻辑跳过：照片数量({})未超过视频数量({})", photoCount, videoCount);
-        }
     }
 
     @Override
@@ -817,8 +456,8 @@ public class FaceServiceImpl implements FaceService {
         sourceVideoContent.setGroup("直出原片");
         sourceImageContent.setGroup("直出原片");
         ScenicConfigManager scenicConfig = scenicRepository.getScenicConfigManager(face.getScenicId());
-        if (!Boolean.TRUE.equals(scenicConfig.getBoolean("disable_source_image"))) {
+        if (!scenicConfigFacade.isDisableSourceImage(face.getScenicId())) {
-            IsBuyRespVO isBuyRespVO = orderBiz.isBuy(userId, face.getScenicId(), 2, faceId);
+            IsBuyRespVO isBuyRespVO = orderBiz.isBuy(userId, face.getScenicId(), SourceType.IMAGE.getCode(), faceId);
             sourceImageContent.setSourceType(isBuyRespVO.getGoodsType());
             sourceImageContent.setContentId(isBuyRespVO.getGoodsId());
             if (isBuyRespVO.isBuy()) {
@@ -836,8 +475,8 @@ public class FaceServiceImpl implements FaceService {
             sourceImageContent.setFreeCount((int) freeCount);
             contentList.add(sourceImageContent);
         }
-        if (!Boolean.TRUE.equals(scenicConfig.getBoolean("disable_source_video"))) {
+        if (!scenicConfigFacade.isDisableSourceVideo(face.getScenicId())) {
-            IsBuyRespVO isBuyRespVO = orderBiz.isBuy(userId, face.getScenicId(), 1, faceId);
+            IsBuyRespVO isBuyRespVO = orderBiz.isBuy(userId, face.getScenicId(), SourceType.VIDEO.getCode(), faceId);
             sourceVideoContent.setSourceType(isBuyRespVO.getGoodsType());
             sourceVideoContent.setContentId(isBuyRespVO.getGoodsId());
             if (isBuyRespVO.isBuy()) {
@@ -955,23 +594,13 @@ public class FaceServiceImpl implements FaceService {
         statusResp.setStep1Status(true);
 
         statusResp.setFaceUrl(face.getFaceUrl());
-        
+
         // 查询识别次数
-        String countKey = FACE_RECOGNITION_COUNT_PFX + faceId;
+        long recognitionCount = metricsRecorder.getRecognitionCount(faceId);
-        String countStr = redisTemplate.opsForValue().get(countKey);
-        long recognitionCount = 0L;
-        if (countStr != null) {
-            try {
-                recognitionCount = Long.parseLong(countStr);
-            } catch (NumberFormatException e) {
-                log.warn("识别次数解析失败，faceId={}, count={}", faceId, countStr);
-            }
-        }
         statusResp.setRecognitionCount(recognitionCount);
 
         // 查询是否触发过低阈值检测
-        String lowThresholdKey = FACE_LOW_THRESHOLD_PFX + faceId;
+        Boolean hasLowThreshold = metricsRecorder.hasLowThreshold(faceId);
-        Boolean hasLowThreshold = redisTemplate.hasKey(lowThresholdKey);
         statusResp.setHasLowThreshold(hasLowThreshold);
 
         log.debug("查询人脸状态：faceId={}, recognitionCount={}, hasLowThreshold={}",
@@ -1013,37 +642,20 @@ public class FaceServiceImpl implements FaceService {
         }
         ScenicConfigManager scenicConfig = scenicRepository.getScenicConfigManager(face.getScenicId());
 
-        String recognitionKey = FACE_RECOGNITION_COUNT_PFX + faceId;
+        // 使用FaceMetricsRecorder获取计数信息
-        String recognitionCountStr = redisTemplate.opsForValue().get(recognitionKey);
+        long recognitionCount = metricsRecorder.getRecognitionCount(faceId);
-        long recognitionCount = 0L;
+        long customMatchCount = metricsRecorder.getCustomMatchCount(faceId);
-        if (recognitionCountStr != null) {
+        boolean hasLowThreshold = metricsRecorder.hasLowThreshold(faceId);
-            try {
-                recognitionCount = Long.parseLong(recognitionCountStr);
-            } catch (NumberFormatException e) {
-                log.warn("识别次数解析失败，faceId={}, count={}", faceId, recognitionCountStr);
-            }
-        }
 
-        String customMatchKey = FACE_CUSTOM_MATCH_COUNT_PFX + faceId;
+        Integer faceSelectMaxCount = scenicConfigFacade.getFaceSelectMaxCount(face.getScenicId());
-        String customMatchCountStr = redisTemplate.opsForValue().get(customMatchKey);
-        long customMatchCount = 0L;
-        if (customMatchCountStr != null) {
-            try {
-                customMatchCount = Long.parseLong(customMatchCountStr);
-            } catch (NumberFormatException e) {
-                log.warn("自定义匹配次数解析失败，faceId={}, count={}", faceId, customMatchCountStr);
-            }
-        }
-
-        Integer faceSelectMaxCount = scenicConfig.getInteger("face_select_max_count");
         if (faceSelectMaxCount != null && faceSelectMaxCount > 0 && customMatchCount > faceSelectMaxCount) {
             log.debug("自定义人脸匹配次数超过限制：faceId={}, customMatchCount={}, limit={}",
                     faceId, customMatchCount, faceSelectMaxCount);
             return false;
         }
 
-        Integer maxTourTime = scenicConfig.getInteger("tour_time");
+        Integer maxTourTime = scenicConfigFacade.getTourTime(face.getScenicId());
-        Integer minTourTime = scenicConfig.getInteger("tour_min_time");
+        Integer minTourTime = scenicConfigFacade.getTourMinTime(face.getScenicId());
         boolean tourMatch = false;
         if (maxTourTime != null && minTourTime != null) {
             if ((new Date().getTime()) - face.getCreateAt().getTime() < maxTourTime * 60 * 1000
@@ -1080,16 +692,20 @@ public class FaceServiceImpl implements FaceService {
         if (projectMatch) {
             ruleMatched++;
         }
-        // 查询是否触发过低阈值检测
+
-        String lowThresholdKey = FACE_LOW_THRESHOLD_PFX + faceId;
+        // 使用策略模式替换switch语句
-        boolean hasLowThreshold = redisTemplate.hasKey(lowThresholdKey);
+        Integer mode = scenicConfigFacade.getRematchMode(face.getScenicId());
-        Integer mode = scenicConfig.getInteger("re_match_mode", 0);
+        RematchContext context = RematchContext.builder()
-        return switch (mode) {
+                .recognitionCount(recognitionCount)
-            case 1 -> tourMatch || recognitionCount > 1 || hasLowThreshold;
+                .hasLowThreshold(hasLowThreshold)
-            case 5 -> hasLowThreshold || (ruleMatched >= 2);
+                .tourMatch(tourMatch)
-            case 9 -> hasLowThreshold && ruleMatched >= 2;
+                .projectMatch(projectMatch)
-            default -> false;
+                .ruleMatched(ruleMatched)
-        };
+                .faceCreateAt(face.getCreateAt())
+                .build();
+
+        RematchModeStrategy strategy = rematchStrategyFactory.getStrategy(mode);
+        return strategy.shouldRematch(context);
     }
 
     @Override
@@ -1106,7 +722,7 @@ public class FaceServiceImpl implements FaceService {
         if (scenicConfig == null) {
             return List.of();
         }
-        Float lowThreshold = scenicConfig.getFloat("face_score_low_threshold", 30.0F);
+        Float lowThreshold = scenicConfigFacade.getFaceScoreLowThreshold(face.getScenicId());
         List<SearchFaceResultItem> resultItems = JacksonUtil.fromJsonToList(matchResult, SearchFaceResultItem.class);
         if (resultItems == null || resultItems.isEmpty()) {
             return List.of();
@@ -1136,7 +752,7 @@ public class FaceServiceImpl implements FaceService {
         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);
+        metricsRecorder.recordCustomMatchCount(faceId);
 
         try {
             FaceEntity face = faceRepository.getFace(faceId);
@@ -1160,7 +776,7 @@ public class FaceServiceImpl implements FaceService {
             }
 
             // 获取face_select_post_mode配置，默认为0（并集）
-            Integer faceSelectPostMode = scenicConfig != null ? scenicConfig.getInteger("face_select_post_mode", 0) : 0;
+            Integer faceSelectPostMode = scenicConfigFacade.getFaceSelectPostMode(face.getScenicId());
             log.debug("face_select_post_mode配置值: {}", faceSelectPostMode);
 
             SearchFaceRespVo mergedResult;
@@ -1169,7 +785,7 @@ public class FaceServiceImpl implements FaceService {
             if (Integer.valueOf(2).equals(faceSelectPostMode)) {
                 // 模式2：不搜索，直接使用用户选择的faceSampleIds
                 log.debug("使用模式2：直接使用用户选择的人脸样本，不进行搜索");
-                mergedResult = createDirectResult(faceSampleIds);
+                mergedResult = resultMerger.createDirectResult(faceSampleIds);
                 mergedResult.setSearchResultJson(face.getMatchResult()); // 没有检索
             } else {
                 // 模式0（并集）和模式1（交集）：需要进行搜索
@@ -1197,7 +813,7 @@ public class FaceServiceImpl implements FaceService {
                 }
 
                 // 2.2 根据模式整合多个搜索结果
-                mergedResult = mergeSearchResults(searchResults, faceSelectPostMode);
+                mergedResult = resultMerger.merge(searchResults, faceSelectPostMode);
             }
 
             // 3. 应用后置筛选逻辑
@@ -1222,14 +838,14 @@ public class FaceServiceImpl implements FaceService {
                     memberRelationRepository.clearSCacheByFace(faceId);
                     log.debug("人脸旧关系数据删除完成：faceId={}", faceId);
 
-                    List<MemberSourceEntity> memberSourceEntityList = processMemberSources(sampleListIds, face);
+                    List<MemberSourceEntity> memberSourceEntityList = sourceRelationProcessor.processMemberSources(sampleListIds, face);
 
                     if (!memberSourceEntityList.isEmpty()) {
-                        List<Long> freeSourceIds = processFreeSourceLogic(memberSourceEntityList, scenicConfig, false);
+                        List<Long> freeSourceIds = sourceRelationProcessor.processFreeSourceLogic(memberSourceEntityList, face.getScenicId(), false);
-                        processBuyStatus(memberSourceEntityList, freeSourceIds, face.getMemberId(),
+                        buyStatusProcessor.processBuyStatus(memberSourceEntityList, freeSourceIds, face.getMemberId(),
                                 face.getScenicId(), faceId);
 
-                        handleVideoRecreation(scenicConfig, memberSourceEntityList, faceId,
+                        videoRecreationHandler.handleVideoRecreation(face.getScenicId(), memberSourceEntityList, faceId,
                                 face.getMemberId(), sampleListIds, false);
 
                         List<MemberSourceEntity> existingFiltered = sourceMapper.filterExistingRelations(memberSourceEntityList);
@@ -1264,13 +880,6 @@ public class FaceServiceImpl implements FaceService {
         }
     }
 
-    /**
-     * 合并多个搜索结果（兼容老版本，默认使用并集模式）
-     */
-    private SearchFaceRespVo mergeSearchResults(List<SearchFaceRespVo> searchResults) {
-        return mergeSearchResults(searchResults, 0);
-    }
-
     @Override
     public void updateRecognition(FaceRecognitionUpdateReq req) {
         if (req == null || req.getFaceId() == null) {
@@ -1334,7 +943,7 @@ public class FaceServiceImpl implements FaceService {
         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.setLowThreshold(metricsRecorder.hasLowThreshold(faceId));
         detail.setLastMatchedAt(face.getUpdateAt() != null ? face.getUpdateAt() : face.getCreateAt());
 
         String matchResultJson = face.getMatchResult();
@@ -1534,204 +1143,10 @@ public class FaceServiceImpl implements FaceService {
         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
-     */
-    private SearchFaceRespVo mergeSearchResults(List<SearchFaceRespVo> searchResults, Integer mergeMode) {
-        SearchFaceRespVo mergedResult = new SearchFaceRespVo();
-        
-        if (searchResults == null || searchResults.isEmpty()) {
-            return mergedResult;
-        }
-
-        List<String> allSearchJsons = new ArrayList<>();
-        float maxScore = 0f;
-        float maxFirstMatchRate = 0f;
-        boolean hasLowThreshold = false;
-        
-        // 收集基础信息
-        for (SearchFaceRespVo result : searchResults) {
-            if (result.getSearchResultJson() != null) {
-                allSearchJsons.add(result.getSearchResultJson());
-            }
-            if (result.getScore() > maxScore) {
-                maxScore = result.getScore();
-            }
-            if (result.getFirstMatchRate() > maxFirstMatchRate) {
-                maxFirstMatchRate = result.getFirstMatchRate();
-            }
-            if (result.isLowThreshold()) {
-                hasLowThreshold = true;
-            }
-        }
-        
-        // 根据合并模式处理样本ID
-        List<Long> finalSampleIds;
-        if (Integer.valueOf(1).equals(mergeMode)) {
-            // 模式1：交集 - 只保留所有搜索结果中都出现的样本ID
-            finalSampleIds = computeIntersection(searchResults);
-            log.debug("使用交集模式合并搜索结果，交集样本数: {}", finalSampleIds.size());
-        } else {
-            // 模式0：并集（默认） - 收集所有样本ID并去重
-            Set<Long> allSampleIds = new LinkedHashSet<>();
-            for (SearchFaceRespVo result : searchResults) {
-                if (result.getSampleListIds() != null) {
-                    allSampleIds.addAll(result.getSampleListIds());
-                }
-            }
-            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);
-        mergedResult.setFirstMatchRate(maxFirstMatchRate);
-        mergedResult.setLowThreshold(hasLowThreshold);
-        
-        log.debug("合并搜索结果完成，模式={}, 最终样本数: {}", mergeMode, finalSampleIds.size());
-        
-        return mergedResult;
-    }
-
-    /**
-     * 计算多个搜索结果的交集
-     * 返回在所有搜索结果中都出现的样本ID
-     */
-    private List<Long> computeIntersection(List<SearchFaceRespVo> searchResults) {
-        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;
-    }
-
-    /**
-     * 记录自定义人脸匹配次数到Redis
-     *
-     * @param faceId 人脸ID
-     */
-    private void recordCustomMatchCount(Long faceId) {
-        if (faceId == null) {
-            return;
-        }
-
-        try {
-            String redisKey = FACE_CUSTOM_MATCH_COUNT_PFX + faceId;
-
-            Long count = redisTemplate.opsForValue().increment(redisKey);
-            redisTemplate.expire(redisKey, 2, TimeUnit.DAYS);
-
-            log.debug("自定义人脸匹配计数更新：faceId={}, count={}", faceId, count);
-        } catch (Exception e) {
-            log.error("记录自定义人脸匹配次数失败：faceId={}", faceId, e);
-        }
-    }
-
-    /**
-     * 记录人脸识别次数到Redis
-     * 
-     * @param faceId 人脸ID
-     */
-    private void recordFaceRecognitionCount(Long faceId) {
-        if (faceId == null) {
-            return;
-        }
-        
-        try {
-            String redisKey = FACE_RECOGNITION_COUNT_PFX + faceId;
-            
-            // 使用Redis原子操作INCR增加计数
-            Long count = redisTemplate.opsForValue().increment(redisKey);
-            
-            // 设置2天过期时间（48小时）
-            redisTemplate.expire(redisKey, 2, TimeUnit.DAYS);
-            
-            log.debug("人脸识别计数更新：faceId={}, count={}", faceId, count);
-            
-        } catch (Exception e) {
-            // 计数失败不应影响主要业务逻辑，只记录错误日志
-            log.error("记录人脸识别次数失败：faceId={}", faceId, e);
-        }
-    }
-
-    /**
-     * 记录低阈值检测的人脸ID到Redis
-     * 
-     * @param faceId 人脸ID
-     */
-    private void recordLowThresholdFace(Long faceId) {
-        if (faceId == null) {
-            return;
-        }
-        
-        try {
-            String redisKey = FACE_LOW_THRESHOLD_PFX + faceId;
-            
-            // 设置标记，表示该人脸ID触发了低阈值检测
-            redisTemplate.opsForValue().set(redisKey, "1", 2, TimeUnit.DAYS);
-            
-            log.debug("记录低阈值检测人脸：faceId={}", faceId);
-            
-        } catch (Exception e) {
-            // 记录失败不应影响主要业务逻辑，只记录错误日志
-            log.error("记录低阈值检测人脸失败：faceId={}", faceId, e);
-        }
-    }
-
     /**
      * 自动将人脸关联的照片添加到优先打印列表
      * 根据景区和设备配置自动添加type=2的照片到用户打印列表
-     * 
+     *
      * @param faceId 人脸ID
      */
     private void autoAddPhotosToPreferPrint(Long faceId) {
@@ -1805,12 +1220,12 @@ public class FaceServiceImpl implements FaceService {
                     sourcesToAdd = deviceSources.stream()
                             .limit(preferPrintCount)
                             .collect(Collectors.toList());
-                    log.info("设备{}配置优先打印{}张,实际添加{}张", 
+                    log.info("设备{}配置优先打印{}张,实际添加{}张",
                             deviceId, preferPrintCount, sourcesToAdd.size());
                 } else {
                     // 如果小于等于0,添加该设备的所有照片
                     sourcesToAdd = deviceSources;
-                    log.info("设备{}配置优先打印所有照片,实际添加{}张", 
+                    log.info("设备{}配置优先打印所有照片,实际添加{}张",
                             deviceId, sourcesToAdd.size());
                 }
 
@@ -1820,7 +1235,7 @@ public class FaceServiceImpl implements FaceService {
                         printerService.addUserPhoto(memberId, scenicId, source.getUrl());
                         totalAdded++;
                     } catch (Exception e) {
-                        log.warn("添加照片到打印列表失败: sourceId={}, url={}, error={}", 
+                        log.warn("添加照片到打印列表失败: sourceId={}, url={}, error={}",
                                 source.getId(), source.getUrl(), e.getMessage());
                     }
                 }

src/main/java/com/ycwl/basic/service/pc/orchestrator/FaceMatchingOrchestrator.java

@@ -0,0 +1,333 @@
+package com.ycwl.basic.service.pc.orchestrator;
+
+import com.ycwl.basic.biz.OrderBiz;
+import com.ycwl.basic.exception.BaseException;
+import com.ycwl.basic.facebody.adapter.IFaceBodyAdapter;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
+import com.ycwl.basic.mapper.FaceMapper;
+import com.ycwl.basic.mapper.SourceMapper;
+import com.ycwl.basic.model.pc.face.entity.FaceEntity;
+import com.ycwl.basic.model.pc.source.entity.MemberSourceEntity;
+import com.ycwl.basic.model.task.resp.SearchFaceRespVo;
+import com.ycwl.basic.repository.FaceRepository;
+import com.ycwl.basic.repository.MemberRelationRepository;
+import com.ycwl.basic.repository.ScenicRepository;
+import com.ycwl.basic.service.pc.ScenicService;
+import com.ycwl.basic.service.pc.helper.FaceMetricsRecorder;
+import com.ycwl.basic.service.pc.helper.ScenicConfigFacade;
+import com.ycwl.basic.service.pc.processor.BuyStatusProcessor;
+import com.ycwl.basic.service.pc.processor.FaceRecoveryStrategy;
+import com.ycwl.basic.service.pc.processor.SourceRelationProcessor;
+import com.ycwl.basic.service.pc.processor.VideoRecreationHandler;
+import com.ycwl.basic.service.task.TaskFaceService;
+import com.ycwl.basic.service.task.TaskService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import java.math.BigDecimal;
+import java.util.Date;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/**
+ * 人脸匹配流程编排器
+ * 将 matchFaceId 的复杂流程拆分为清晰的步骤，每个步骤负责单一职责
+ *
+ * 主要步骤：
+ * 1. 数据准备 - 获取人脸信息、配置、适配器
+ * 2. 人脸识别 - 执行人脸搜索和补救逻辑
+ * 3. 结果更新 - 更新人脸实体信息
+ * 4. 源文件关联 - 处理匹配到的源文件
+ * 5. 业务处理 - 免费逻辑、购买状态、任务创建
+ * 6. 数据持久化 - 保存关联关系
+ *
+ * @author Claude
+ * @since 2025-10-31
+ */
+@Slf4j
+@Component
+public class FaceMatchingOrchestrator {
+
+    @Autowired
+    private FaceRepository faceRepository;
+    @Autowired
+    private FaceMapper faceMapper;
+    @Autowired
+    private ScenicRepository scenicRepository;
+    @Autowired
+    private ScenicService scenicService;
+    @Autowired
+    private TaskFaceService taskFaceService;
+    @Autowired
+    private TaskService taskService;
+    @Autowired
+    private SourceMapper sourceMapper;
+    @Autowired
+    private MemberRelationRepository memberRelationRepository;
+
+    // 辅助类和处理器
+    @Autowired
+    private FaceMetricsRecorder metricsRecorder;
+    @Autowired
+    private ScenicConfigFacade scenicConfigFacade;
+    @Autowired
+    private FaceRecoveryStrategy faceRecoveryStrategy;
+    @Autowired
+    private SourceRelationProcessor sourceRelationProcessor;
+    @Autowired
+    private BuyStatusProcessor buyStatusProcessor;
+    @Autowired
+    private VideoRecreationHandler videoRecreationHandler;
+
+    /**
+     * 编排人脸匹配的完整流程
+     *
+     * @param faceId 人脸ID
+     * @param isNew  是否新用户
+     * @return 人脸搜索结果
+     */
+    public SearchFaceRespVo orchestrateMatching(Long faceId, boolean isNew) {
+        if (faceId == null) {
+            throw new IllegalArgumentException("faceId 不能为空");
+        }
+
+        // 步骤1: 数据准备
+        MatchingContext context = prepareMatchingContext(faceId, isNew);
+        if (context == null) {
+            return null;
+        }
+
+        // 记录识别次数
+        metricsRecorder.recordRecognitionCount(faceId);
+
+        try {
+            // 步骤2: 人脸识别
+            SearchFaceRespVo searchResult = executeFaceRecognition(context);
+            if (searchResult == null) {
+                log.warn("人脸识别返回结果为空，faceId={}", faceId);
+                throw new BaseException("人脸识别失败，请换一张试试把~");
+            }
+
+            // 执行补救逻辑
+            searchResult = faceRecoveryStrategy.executeFaceRecoveryLogic(
+                    searchResult, context.scenicConfig, context.faceBodyAdapter, context.face.getScenicId());
+
+            // 步骤3: 更新人脸结果
+            updateFaceResult(context.face, searchResult, faceId);
+
+            // 步骤4-6: 处理源文件关联和业务逻辑
+            processSourceRelations(context, searchResult, faceId, isNew);
+
+            return searchResult;
+
+        } catch (BaseException e) {
+            throw e;
+        } catch (Exception e) {
+            log.error("人脸匹配流程异常，faceId={}", faceId, e);
+            throw new BaseException("人脸匹配处理失败");
+        }
+    }
+
+    /**
+     * 步骤1: 准备匹配上下文
+     * 获取人脸信息、景区配置、人脸识别适配器等必要数据
+     */
+    private MatchingContext prepareMatchingContext(Long faceId, boolean isNew) {
+        FaceEntity face = faceRepository.getFace(faceId);
+        if (face == null) {
+            log.warn("人脸不存在，faceId: {}", faceId);
+            return null;
+        }
+
+        // 人工选择的无需重新匹配（新用户除外）
+        if (!isNew && Integer.valueOf(1).equals(face.getIsManual())) {
+            log.info("人工选择的，无需匹配，faceId: {}", faceId);
+            return null;
+        }
+
+        log.debug("开始人脸匹配：faceId={}, isNew={}", faceId, isNew);
+
+        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");
+        }
+
+        MatchingContext context = new MatchingContext();
+        context.face = face;
+        context.scenicConfig = scenicConfig;
+        context.faceBodyAdapter = faceBodyAdapter;
+        return context;
+    }
+
+    /**
+     * 步骤2: 执行人脸识别
+     * 调用人脸识别服务进行人脸搜索
+     */
+    private SearchFaceRespVo executeFaceRecognition(MatchingContext context) {
+        try {
+            return taskFaceService.searchFace(
+                    context.faceBodyAdapter,
+                    String.valueOf(context.face.getScenicId()),
+                    context.face.getFaceUrl(),
+                    "人脸识别");
+        } catch (Exception e) {
+            log.error("人脸识别服务调用失败，faceId={}, scenicId={}",
+                    context.face.getId(), context.face.getScenicId(), e);
+            throw new BaseException("人脸识别失败，请换一张试试把~");
+        }
+    }
+
+    /**
+     * 步骤3: 更新人脸结果
+     * 保存人脸匹配结果到数据库
+     */
+    private void updateFaceResult(FaceEntity originalFace, SearchFaceRespVo searchResult, Long faceId) {
+        try {
+            FaceEntity faceEntity = new FaceEntity();
+            faceEntity.setId(faceId);
+            faceEntity.setScore(searchResult.getScore());
+            faceEntity.setMatchResult(searchResult.getSearchResultJson());
+
+            if (searchResult.getFirstMatchRate() != null) {
+                faceEntity.setFirstMatchRate(BigDecimal.valueOf(searchResult.getFirstMatchRate()));
+            }
+
+            if (searchResult.getSampleListIds() != null) {
+                faceEntity.setMatchSampleIds(searchResult.getSampleListIds().stream()
+                        .map(String::valueOf)
+                        .collect(Collectors.joining(",")));
+            }
+
+            faceEntity.setCreateAt(new Date());
+            faceEntity.setScenicId(originalFace.getScenicId());
+            faceEntity.setMemberId(originalFace.getMemberId());
+            faceEntity.setFaceUrl(originalFace.getFaceUrl());
+
+            faceMapper.update(faceEntity);
+            faceRepository.clearFaceCache(faceEntity.getId());
+
+            log.debug("人脸结果更新成功：faceId={}, score={}, sampleCount={}",
+                    faceId, searchResult.getScore(),
+                    searchResult.getSampleListIds() != null ? searchResult.getSampleListIds().size() : 0);
+        } catch (Exception e) {
+            log.error("更新人脸结果失败，faceId={}", faceId, e);
+            throw new BaseException("保存人脸识别结果失败");
+        }
+    }
+
+    /**
+     * 步骤4-6: 处理源文件关联和业务逻辑
+     * 包括：源文件关联、免费逻辑、购买状态、视频重切、任务创建、数据持久化
+     */
+    private void processSourceRelations(MatchingContext context, SearchFaceRespVo searchResult,
+                                        Long faceId, boolean isNew) {
+        List<Long> sampleListIds = searchResult.getSampleListIds();
+
+        if (sampleListIds == null || sampleListIds.isEmpty()) {
+            log.warn("人脸匹配无结果：faceId={}", faceId);
+
+            // 记录低阈值检测
+            if (searchResult.isLowThreshold()) {
+                metricsRecorder.recordLowThreshold(faceId);
+                log.debug("触发低阈值检测，记录faceId: {}", faceId);
+            }
+            return;
+        }
+
+        try {
+            // 4. 源文件关联：处理匹配到的源文件
+            List<MemberSourceEntity> memberSourceEntityList =
+                    sourceRelationProcessor.processMemberSources(sampleListIds, context.face);
+
+            if (memberSourceEntityList.isEmpty()) {
+                log.warn("未找到有效的源文件，faceId={}", faceId);
+                return;
+            }
+
+            // 5. 业务逻辑处理
+            processBusinessLogic(context, memberSourceEntityList, faceId, sampleListIds, isNew);
+
+            // 6. 数据持久化
+            persistSourceRelations(faceId, memberSourceEntityList);
+
+            // 7. 任务创建
+            createTaskIfNeeded(context.face.getScenicId(), faceId);
+
+            log.info("人脸匹配完成：faceId={}, 匹配样本数={}, 关联源文件数={}",
+                    faceId, sampleListIds.size(), memberSourceEntityList.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，记录错误但不抛出异常
+        }
+    }
+
+    /**
+     * 步骤5: 业务逻辑处理
+     * 处理免费逻辑、购买状态、视频重切
+     */
+    private void processBusinessLogic(MatchingContext context, List<MemberSourceEntity> memberSourceEntityList,
+                                      Long faceId, List<Long> sampleListIds, boolean isNew) {
+        // 免费逻辑
+        List<Long> freeSourceIds = sourceRelationProcessor.processFreeSourceLogic(
+                memberSourceEntityList, context.face.getScenicId(), isNew);
+
+        // 购买状态
+        buyStatusProcessor.processBuyStatus(
+                memberSourceEntityList, freeSourceIds,
+                context.face.getMemberId(), context.face.getScenicId(), faceId);
+
+        // 视频重切
+        videoRecreationHandler.handleVideoRecreation(
+                context.face.getScenicId(), memberSourceEntityList,
+                faceId, context.face.getMemberId(), sampleListIds, isNew);
+    }
+
+    /**
+     * 步骤6: 数据持久化
+     * 过滤并保存源文件关联关系
+     */
+    private void persistSourceRelations(Long faceId, List<MemberSourceEntity> memberSourceEntityList) {
+        // 过滤已存在的关联关系和无效的source引用
+        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());
+        } else {
+            log.warn("没有有效的关联关系可创建: faceId={}, 原始数量={}",
+                    faceId, memberSourceEntityList.size());
+        }
+
+        // 清除缓存
+        memberRelationRepository.clearSCacheByFace(faceId);
+    }
+
+    /**
+     * 步骤7: 任务创建
+     * 根据配置决定是否自动创建任务
+     */
+    private void createTaskIfNeeded(Long scenicId, Long faceId) {
+        if (!scenicConfigFacade.isFaceSelectFirst(scenicId)) {
+            taskService.autoCreateTaskByFaceId(faceId);
+        } else {
+            log.debug("景区配置 face_select_first=true，跳过自动创建任务：faceId={}", faceId);
+        }
+    }
+
+    /**
+     * 匹配上下文
+     * 封装匹配过程中需要的所有上下文信息
+     */
+    private static class MatchingContext {
+        FaceEntity face;
+        ScenicConfigManager scenicConfig;
+        IFaceBodyAdapter faceBodyAdapter;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/processor/BuyStatusProcessor.java

@@ -0,0 +1,73 @@
+package com.ycwl.basic.service.pc.processor;
+
+import com.ycwl.basic.biz.OrderBiz;
+import com.ycwl.basic.constant.BuyStatus;
+import com.ycwl.basic.constant.FreeStatus;
+import com.ycwl.basic.model.mobile.order.IsBuyRespVO;
+import com.ycwl.basic.model.pc.source.entity.MemberSourceEntity;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import java.util.List;
+
+/**
+ * 购买状态处理器
+ * 负责处理源文件的购买状态和免费状态
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class BuyStatusProcessor {
+
+    @Autowired
+    private OrderBiz orderBiz;
+
+    /**
+     * 处理购买状态逻辑
+     * 设置每个源文件的购买状态和免费状态
+     *
+     * @param memberSourceEntityList 源文件关联列表
+     * @param freeSourceIds          免费的源文件ID列表
+     * @param memberId               会员ID
+     * @param scenicId               景区ID
+     * @param faceId                 人脸ID
+     */
+    public void processBuyStatus(List<MemberSourceEntity> memberSourceEntityList,
+                                 List<Long> freeSourceIds,
+                                 Long memberId,
+                                 Long scenicId,
+                                 Long faceId) {
+        if (memberSourceEntityList.isEmpty()) {
+            return;
+        }
+
+        // 获取用户购买状态
+        IsBuyRespVO isBuy = orderBiz.isBuy(memberId, scenicId,
+                memberSourceEntityList.getFirst().getType(),
+                faceId);
+
+        for (MemberSourceEntity memberSourceEntity : memberSourceEntityList) {
+            // 设置购买状态
+            if (isBuy.isBuy()) {
+                // 如果用户买过
+                memberSourceEntity.setIsBuy(BuyStatus.BOUGHT.getCode());
+            } else if (isBuy.isFree()) {
+                // 全免费逻辑
+                memberSourceEntity.setIsBuy(BuyStatus.BOUGHT.getCode());
+            } else {
+                memberSourceEntity.setIsBuy(BuyStatus.NOT_BOUGHT.getCode());
+            }
+
+            // 设置免费状态
+            if (freeSourceIds.contains(memberSourceEntity.getSourceId())) {
+                memberSourceEntity.setIsFree(FreeStatus.FREE.getCode());
+            }
+        }
+
+        log.debug("购买状态处理完成：用户购买状态 isBuy={}, isFree={}, 免费源文件数量={}",
+                isBuy.isBuy(), isBuy.isFree(), freeSourceIds.size());
+    }
+}

src/main/java/com/ycwl/basic/service/pc/processor/FaceRecoveryStrategy.java

@@ -0,0 +1,98 @@
+package com.ycwl.basic.service.pc.processor;
+
+import com.ycwl.basic.facebody.adapter.IFaceBodyAdapter;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
+import com.ycwl.basic.model.pc.faceSample.entity.FaceSampleEntity;
+import com.ycwl.basic.model.task.resp.SearchFaceRespVo;
+import com.ycwl.basic.repository.FaceRepository;
+import com.ycwl.basic.service.pc.helper.ScenicConfigFacade;
+import com.ycwl.basic.service.task.TaskFaceService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+/**
+ * 人脸识别补救策略
+ * 负责执行人脸识别的补救逻辑
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class FaceRecoveryStrategy {
+
+    @Autowired
+    private FaceRepository faceRepository;
+
+    @Autowired
+    private TaskFaceService faceService;
+
+    @Autowired
+    private ScenicConfigFacade scenicConfigFacade;
+
+    /**
+     * 执行人脸识别补救逻辑
+     * 当匹配结果数量少于阈值时，使用第一个匹配结果重新进行人脸搜索
+     *
+     * @param originalResult  原始搜索结果
+     * @param scenicConfig    景区配置
+     * @param faceBodyAdapter 人脸识别适配器
+     * @param scenicId        景区ID
+     * @return 补救后的搜索结果（如果不需要补救或补救失败则返回原始结果）
+     */
+    public SearchFaceRespVo executeFaceRecoveryLogic(SearchFaceRespVo originalResult,
+                                                     ScenicConfigManager scenicConfig,
+                                                     IFaceBodyAdapter faceBodyAdapter,
+                                                     Long scenicId) {
+        if (originalResult == null || originalResult.getSampleListIds() == null ||
+                originalResult.getFirstMatchRate() == null || originalResult.getSampleListIds().isEmpty()) {
+            return originalResult;
+        }
+
+        if (scenicConfig == null) {
+            return originalResult;
+        }
+
+        // 检查是否需要执行补救逻辑
+        Integer helperThreshold = scenicConfigFacade.getFaceDetectHelperThreshold(scenicId);
+        if (helperThreshold == null || helperThreshold <= 0) {
+            return originalResult;
+        }
+
+        // 检查匹配结果数量是否少于阈值
+        if (originalResult.getSampleListIds().size() >= helperThreshold) {
+            return originalResult;
+        }
+
+        log.info("执行人脸识别补救逻辑，原匹配数量: {}, 阈值: {}",
+                originalResult.getSampleListIds().size(), helperThreshold);
+
+        // 获取第一个匹配结果
+        Long firstResultId = originalResult.getSampleListIds().getFirst();
+        FaceSampleEntity faceSample = faceRepository.getFaceSample(firstResultId);
+
+        if (faceSample == null) {
+            log.warn("补救逻辑失败：无法找到人脸样本, sampleId: {}", firstResultId);
+            return originalResult;
+        }
+
+        // 使用人脸样本重新进行搜索
+        try {
+            SearchFaceRespVo recoveryResult = faceService.searchFace(faceBodyAdapter,
+                    String.valueOf(scenicId),
+                    faceSample.getFaceUrl(),
+                    "人脸补救措施1");
+
+            if (recoveryResult != null && recoveryResult.getSampleListIds() != null &&
+                    !recoveryResult.getSampleListIds().isEmpty()) {
+                log.info("补救逻辑成功，新匹配数量: {}", recoveryResult.getSampleListIds().size());
+                return recoveryResult;
+            }
+        } catch (Exception e) {
+            log.warn("补救逻辑执行失败", e);
+        }
+
+        return originalResult;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/processor/SourceRelationProcessor.java

@@ -0,0 +1,150 @@
+package com.ycwl.basic.service.pc.processor;
+
+import com.ycwl.basic.constant.FreeStatus;
+import com.ycwl.basic.constant.SourceType;
+import com.ycwl.basic.integration.common.manager.DeviceConfigManager;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
+import com.ycwl.basic.mapper.SourceMapper;
+import com.ycwl.basic.model.pc.face.entity.FaceEntity;
+import com.ycwl.basic.model.pc.source.entity.MemberSourceEntity;
+import com.ycwl.basic.model.pc.source.entity.SourceEntity;
+import com.ycwl.basic.repository.DeviceRepository;
+import com.ycwl.basic.service.pc.helper.ScenicConfigFacade;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import java.util.*;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+/**
+ * 源文件关联处理器
+ * 负责处理人脸匹配后的源文件关联逻辑
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class SourceRelationProcessor {
+
+    @Autowired
+    private SourceMapper sourceMapper;
+
+    @Autowired
+    private DeviceRepository deviceRepository;
+
+    @Autowired
+    private ScenicConfigFacade scenicConfigFacade;
+
+    /**
+     * 处理源文件关联逻辑
+     * 根据匹配的样本ID创建MemberSourceEntity列表
+     *
+     * @param sampleListIds 匹配的样本ID列表
+     * @param face          人脸实体
+     * @return MemberSourceEntity列表
+     */
+    public List<MemberSourceEntity> processMemberSources(List<Long> sampleListIds, FaceEntity face) {
+        if (sampleListIds == null || sampleListIds.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        List<SourceEntity> sourceEntities = sourceMapper.listBySampleIds(sampleListIds);
+        if (sourceEntities.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        // 按设备分组并应用限制
+        List<SourceEntity> filteredSourceEntities = sourceEntities.stream()
+                .sorted(Comparator.comparing(SourceEntity::getCreateTime).reversed())
+                .collect(Collectors.groupingBy(SourceEntity::getDeviceId))
+                .entrySet()
+                .stream().flatMap(entry -> {
+                    DeviceConfigManager configManager = deviceRepository.getDeviceConfigManager(entry.getKey());
+                    if (configManager.getInteger("limit_video", 0) > 0) {
+                        // 优先保留所有图片，然后限制视频数量
+                        return Stream.concat(
+                                entry.getValue().stream().filter(item -> SourceType.isImage(item.getType())),
+                                entry.getValue().stream().filter(item -> SourceType.isVideo(item.getType()))
+                                        .limit(Math.min(entry.getValue().size(), configManager.getInteger("limit_video", 0)))
+                        );
+                    }
+                    return entry.getValue().stream();
+                }).toList();
+
+        // 创建MemberSourceEntity列表
+        return filteredSourceEntities.stream().map(sourceEntity -> {
+            DeviceConfigManager deviceConfig = deviceRepository.getDeviceConfigManager(sourceEntity.getDeviceId());
+            MemberSourceEntity memberSourceEntity = new MemberSourceEntity();
+            memberSourceEntity.setScenicId(face.getScenicId());
+            memberSourceEntity.setFaceId(face.getId());
+            memberSourceEntity.setMemberId(face.getMemberId());
+            memberSourceEntity.setSourceId(sourceEntity.getId());
+            memberSourceEntity.setType(sourceEntity.getType());
+
+            // 设置免费状态 - 默认收费
+            memberSourceEntity.setIsFree(FreeStatus.PAID.getCode());
+
+            if (deviceConfig != null) {
+                // 视频类型检查
+                if (SourceType.isVideo(sourceEntity.getType())) {
+                    if (Integer.valueOf(1).equals(deviceConfig.getInteger("video_free"))) {
+                        memberSourceEntity.setIsFree(FreeStatus.FREE.getCode());
+                    }
+                }
+                // 图片类型检查
+                else if (SourceType.isImage(sourceEntity.getType())) {
+                    if (Integer.valueOf(1).equals(deviceConfig.getInteger("image_free"))) {
+                        memberSourceEntity.setIsFree(FreeStatus.FREE.getCode());
+                    }
+                }
+            }
+
+            return memberSourceEntity;
+        }).collect(Collectors.toList());
+    }
+
+    /**
+     * 处理免费源文件逻辑
+     * 根据景区配置和是否新用户决定哪些照片可以免费
+     *
+     * @param memberSourceEntityList 源文件关联列表
+     * @param scenicId               景区ID
+     * @param isNew                  是否新用户
+     * @return 免费的源文件ID列表
+     */
+    public List<Long> processFreeSourceLogic(List<MemberSourceEntity> memberSourceEntityList,
+                                             Long scenicId,
+                                             boolean isNew) {
+        List<Long> freeSourceIds = new ArrayList<>();
+
+        if (memberSourceEntityList.isEmpty()) {
+            return freeSourceIds;
+        }
+
+        if (isNew) {
+            // 新用户送照片逻辑
+            List<MemberSourceEntity> photoSource = memberSourceEntityList.stream()
+                    .filter(item -> FreeStatus.isPaid(item.getIsFree()))  // 只考虑收费的
+                    .filter(item -> SourceType.isImage(item.getType()))  // 只考虑照片类型
+                    .toList();
+
+            Integer photoFreeNum = scenicConfigFacade.getPhotoFreeNum(scenicId);
+            if (photoFreeNum != null && photoFreeNum > 0) {
+
+                int freePhotoCount = Math.min(photoFreeNum, photoSource.size());
+                freeSourceIds.addAll(photoSource.stream()
+                        .limit(freePhotoCount)
+                        .map(MemberSourceEntity::getSourceId)
+                        .toList());
+
+                log.debug("新用户免费照片逻辑：配置免费数量 {}, 实际可用 {}, 赠送 {} 张",
+                        photoFreeNum, photoSource.size(), freePhotoCount);
+            }
+        }
+
+        return freeSourceIds;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/processor/VideoRecreationHandler.java

@@ -0,0 +1,117 @@
+package com.ycwl.basic.service.pc.processor;
+
+import com.ycwl.basic.constant.SourceType;
+import com.ycwl.basic.integration.common.manager.DeviceConfigManager;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
+import com.ycwl.basic.model.pc.faceSample.entity.FaceSampleEntity;
+import com.ycwl.basic.model.pc.source.entity.MemberSourceEntity;
+import com.ycwl.basic.repository.DeviceRepository;
+import com.ycwl.basic.repository.FaceRepository;
+import com.ycwl.basic.service.pc.helper.ScenicConfigFacade;
+import com.ycwl.basic.task.VideoPieceGetter;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import java.util.Comparator;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/**
+ * 视频重切处理器
+ * 负责处理视频重切任务的创建逻辑
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class VideoRecreationHandler {
+
+    @Autowired
+    private FaceRepository faceRepository;
+
+    @Autowired
+    private DeviceRepository deviceRepository;
+
+    @Autowired
+    private ScenicConfigFacade scenicConfigFacade;
+
+    /**
+     * 处理视频重切逻辑
+     * 当非新用户且照片数量大于视频数量时，创建视频重切任务
+     *
+     * @param scenicId               景区ID
+     * @param memberSourceEntityList 源文件关联列表
+     * @param faceId                 人脸ID
+     * @param memberId               会员ID
+     * @param sampleListIds          样本ID列表（用于日志）
+     * @param isNew                  是否新用户
+     */
+    public void handleVideoRecreation(Long scenicId,
+                                      List<MemberSourceEntity> memberSourceEntityList,
+                                      Long faceId,
+                                      Long memberId,
+                                      List<Long> sampleListIds,
+                                      boolean isNew) {
+        // 新用户不执行视频重切逻辑
+        if (isNew) {
+            return;
+        }
+
+        // 检查景区是否禁用源视频功能
+        if (scenicConfigFacade.isDisableSourceVideo(scenicId)) {
+            log.debug("视频重切逻辑跳过：景区禁用了源视频功能");
+            return;
+        }
+
+        // 统计视频和照片数量
+        long videoCount = memberSourceEntityList.stream()
+                .filter(item -> SourceType.isVideo(item.getType()))
+                .count();
+        long photoCount = memberSourceEntityList.stream()
+                .filter(item -> SourceType.isImage(item.getType()))
+                .count();
+
+        List<FaceSampleEntity> faceSampleList = faceRepository.getFaceSampleList(faceId);
+        if (faceSampleList.isEmpty()) {
+            log.info("faceId:{} sample list not exist", faceId);
+            return;
+        }
+
+        // 筛选样本ID
+        List<Long> faceSampleIds = faceSampleList.stream()
+                .sorted(Comparator.comparing(FaceSampleEntity::getCreateAt).reversed())
+                .collect(Collectors.groupingBy(FaceSampleEntity::getDeviceId))
+                .entrySet()
+                .stream().flatMap(entry -> {
+                    DeviceConfigManager configManager = deviceRepository.getDeviceConfigManager(entry.getKey());
+                    if (configManager.getInteger("limit_video", 0) > 0) {
+                        return entry.getValue().subList(0, Math.min(entry.getValue().size(), configManager.getInteger("limit_video", 0))).stream();
+                    }
+                    return entry.getValue().stream();
+                }).toList()
+                .stream().map(FaceSampleEntity::getId).toList();
+
+        log.info("视频切分任务: faceId={}, 原始数量={}, 筛选后数量={}", faceId, faceSampleList.size(), faceSampleIds.size());
+        log.debug("视频重切逻辑：视频数量 {}, 照片数量 {}", videoCount, photoCount);
+
+        // 只有照片数量大于视频数量时才创建重切任务
+        if (photoCount > videoCount) {
+            VideoPieceGetter.Task task = new VideoPieceGetter.Task();
+            task.faceId = faceId;
+            task.faceSampleIds = faceSampleIds;
+            task.templateId = null;
+            task.memberId = memberId;
+            task.callback = () -> {
+                log.info("视频重切任务回调: {}", task);
+            };
+
+            VideoPieceGetter.addTask(task);
+            log.debug("视频重切任务已创建：faceId={}, memberId={}, sampleIds={}",
+                    faceId, memberId, sampleListIds.size());
+        } else {
+            log.debug("视频重切逻辑跳过：照片数量({})未超过视频数量({})", photoCount, videoCount);
+        }
+    }
+}

src/main/java/com/ycwl/basic/service/pc/strategy/RematchContext.java

@@ -0,0 +1,47 @@
+package com.ycwl.basic.service.pc.strategy;
+
+import lombok.Builder;
+import lombok.Data;
+
+import java.util.Date;
+
+/**
+ * 重匹配上下文
+ * 包含判断是否需要重匹配的所有必要信息
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Data
+@Builder
+public class RematchContext {
+    /**
+     * 人脸识别次数
+     */
+    private long recognitionCount;
+
+    /**
+     * 是否触发低阈值检测
+     */
+    private boolean hasLowThreshold;
+
+    /**
+     * 是否符合游览时间匹配
+     */
+    private boolean tourMatch;
+
+    /**
+     * 是否符合项目时间匹配
+     */
+    private boolean projectMatch;
+
+    /**
+     * 规则匹配数量
+     */
+    private int ruleMatched;
+
+    /**
+     * 人脸创建时间
+     */
+    private Date faceCreateAt;
+}

src/main/java/com/ycwl/basic/service/pc/strategy/RematchModeStrategy.java

@@ -0,0 +1,26 @@
+package com.ycwl.basic.service.pc.strategy;
+
+/**
+ * 重匹配模式策略接口
+ * 用于判断是否需要进行人脸重新匹配
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+public interface RematchModeStrategy {
+
+    /**
+     * 判断是否应该重新匹配
+     *
+     * @param context 重匹配上下文
+     * @return true-需要重匹配, false-不需要重匹配
+     */
+    boolean shouldRematch(RematchContext context);
+
+    /**
+     * 获取策略对应的模式值
+     *
+     * @return 模式值
+     */
+    int getMode();
+}

src/main/java/com/ycwl/basic/service/pc/strategy/RematchStrategyFactory.java

@@ -0,0 +1,60 @@
+package com.ycwl.basic.service.pc.strategy;
+
+import com.ycwl.basic.service.pc.strategy.impl.DefaultRematchStrategy;
+import com.ycwl.basic.service.pc.strategy.impl.RematchMode1Strategy;
+import com.ycwl.basic.service.pc.strategy.impl.RematchMode5Strategy;
+import com.ycwl.basic.service.pc.strategy.impl.RematchMode9Strategy;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import jakarta.annotation.PostConstruct;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 重匹配策略工厂
+ * 根据模式值获取对应的策略实例
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class RematchStrategyFactory {
+
+    @Autowired
+    private List<RematchModeStrategy> strategies;
+
+    private final Map<Integer, RematchModeStrategy> strategyMap = new HashMap<>();
+
+    @PostConstruct
+    public void init() {
+        for (RematchModeStrategy strategy : strategies) {
+            strategyMap.put(strategy.getMode(), strategy);
+            log.debug("注册重匹配策略: mode={}, class={}",
+                     strategy.getMode(), strategy.getClass().getSimpleName());
+        }
+    }
+
+    /**
+     * 根据模式值获取对应的策略
+     *
+     * @param mode 模式值(0-默认, 1-模式1, 5-模式5, 9-模式9)
+     * @return 对应的策略实例,如果没有找到则返回默认策略
+     */
+    public RematchModeStrategy getStrategy(Integer mode) {
+        if (mode == null) {
+            return strategyMap.getOrDefault(0, new DefaultRematchStrategy());
+        }
+
+        RematchModeStrategy strategy = strategyMap.get(mode);
+        if (strategy == null) {
+            log.warn("未找到重匹配模式{}对应的策略,使用默认策略", mode);
+            return strategyMap.getOrDefault(0, new DefaultRematchStrategy());
+        }
+
+        return strategy;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/strategy/impl/DefaultRematchStrategy.java

@@ -0,0 +1,29 @@
+package com.ycwl.basic.service.pc.strategy.impl;
+
+import com.ycwl.basic.service.pc.strategy.RematchContext;
+import com.ycwl.basic.service.pc.strategy.RematchModeStrategy;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+/**
+ * 默认重匹配策略(模式0或其他未定义模式)
+ * 条件: 不触发重匹配
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class DefaultRematchStrategy implements RematchModeStrategy {
+
+    @Override
+    public boolean shouldRematch(RematchContext context) {
+        log.debug("DefaultRematchStrategy判断: 默认不重匹配");
+        return false;
+    }
+
+    @Override
+    public int getMode() {
+        return 0;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/strategy/impl/RematchMode1Strategy.java

@@ -0,0 +1,37 @@
+package com.ycwl.basic.service.pc.strategy.impl;
+
+import com.ycwl.basic.service.pc.strategy.RematchContext;
+import com.ycwl.basic.service.pc.strategy.RematchModeStrategy;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+/**
+ * 重匹配模式1策略
+ * 条件: tourMatch || recognitionCount > 1 || hasLowThreshold
+ * 满足任一条件即可重匹配
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class RematchMode1Strategy implements RematchModeStrategy {
+
+    @Override
+    public boolean shouldRematch(RematchContext context) {
+        boolean result = context.isTourMatch()
+                || context.getRecognitionCount() > 1
+                || context.isHasLowThreshold();
+
+        log.debug("RematchMode1Strategy判断: tourMatch={}, recognitionCount={}, hasLowThreshold={}, result={}",
+                context.isTourMatch(), context.getRecognitionCount(),
+                context.isHasLowThreshold(), result);
+
+        return result;
+    }
+
+    @Override
+    public int getMode() {
+        return 1;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/strategy/impl/RematchMode5Strategy.java

@@ -0,0 +1,35 @@
+package com.ycwl.basic.service.pc.strategy.impl;
+
+import com.ycwl.basic.service.pc.strategy.RematchContext;
+import com.ycwl.basic.service.pc.strategy.RematchModeStrategy;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+/**
+ * 重匹配模式5策略
+ * 条件: hasLowThreshold || (ruleMatched >= 2)
+ * 触发低阈值或匹配2个及以上规则即可重匹配
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class RematchMode5Strategy implements RematchModeStrategy {
+
+    @Override
+    public boolean shouldRematch(RematchContext context) {
+        boolean result = context.isHasLowThreshold()
+                || context.getRuleMatched() >= 2;
+
+        log.debug("RematchMode5Strategy判断: hasLowThreshold={}, ruleMatched={}, result={}",
+                context.isHasLowThreshold(), context.getRuleMatched(), result);
+
+        return result;
+    }
+
+    @Override
+    public int getMode() {
+        return 5;
+    }
+}

src/main/java/com/ycwl/basic/service/pc/strategy/impl/RematchMode9Strategy.java

@@ -0,0 +1,35 @@
+package com.ycwl.basic.service.pc.strategy.impl;
+
+import com.ycwl.basic.service.pc.strategy.RematchContext;
+import com.ycwl.basic.service.pc.strategy.RematchModeStrategy;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+/**
+ * 重匹配模式9策略
+ * 条件: hasLowThreshold && (ruleMatched >= 2)
+ * 必须同时触发低阈值且匹配2个及以上规则才可重匹配
+ *
+ * @author longbinbin
+ * @date 2025-01-31
+ */
+@Slf4j
+@Component
+public class RematchMode9Strategy implements RematchModeStrategy {
+
+    @Override
+    public boolean shouldRematch(RematchContext context) {
+        boolean result = context.isHasLowThreshold()
+                && context.getRuleMatched() >= 2;
+
+        log.debug("RematchMode9Strategy判断: hasLowThreshold={}, ruleMatched={}, result={}",
+                context.isHasLowThreshold(), context.getRuleMatched(), result);
+
+        return result;
+    }
+
+    @Override
+    public int getMode() {
+        return 9;
+    }
+}