fix(aihr): add semantic daily drill scoring fallback

backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/domain/AihrPracticeDto.java

@@ -271,6 +271,7 @@ public final class AihrPracticeDto {
         String feedback,
         Boolean correct,
         Integer score,
+        String scoreMode,
         String audioUrl,
         Long audioOssId
     ) {
@@ -297,6 +298,7 @@ public final class AihrPracticeDto {
         Integer score,
         String feedback,
         String referenceAnswer,
+        String scoreMode,
         String audioUrl,
         Long audioOssId
     ) {

backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeLlmService.java

@@ -22,6 +22,7 @@ public class AihrPracticeLlmService {
     private static final String PROMPT_VERSION = "practice-p0-v1";
     private static final double CUSTOMER_TEMPERATURE = 0.7;
     private static final double SCORE_TEMPERATURE = 0.0;
+    private static final double DAILY_DRILL_TEMPERATURE = 0.0;
     private static final int MAX_CUSTOMER_CHARS = 80;
 
     private final AihrModelSeedService modelService;
@@ -53,6 +54,9 @@ public class AihrPracticeLlmService {
     ) {
     }
 
+    public record DailyDrillAssessment(int score, String feedback) {
+    }
+
     /**
      * 生成 AI 客户(业主)的下一句回应。nextBeat 为 seed 剧本中下一轮台词，作为剧情推进锚点。
      */
@@ -159,6 +163,29 @@ public class AihrPracticeLlmService {
         return modelService.tryChat(system, user, SCORE_TEMPERATURE).flatMap(this::parseScore);
     }
 
+    /**
+     * 每日三题的语义评估。模型未配置、成本闸门关闭或结构化结果解析失败时由调用方回退规则评分。
+     */
+    public Optional<DailyDrillAssessment> scoreDailyDrill(String question, String referenceAnswer, String answer) {
+        if (answer == null || answer.isBlank()) {
+            return Optional.empty();
+        }
+        String system = """
+            你是物业行业新员工训练教练，请评估员工对每日微场景的处理话术。
+            只根据员工实际回答评分，不要臆造员工没有说过的动作。
+            评分标准：0-59为未覆盖关键动作，60-74为部分覆盖，75-89为基本完整，90-100为完整且表达清晰。
+            只输出 JSON，不要输出其他文字或 markdown：
+            {"score":0,"feedback":"不超过80字的可执行反馈"}
+            """;
+        String user = """
+            题目：%s
+            参考要点：%s
+            员工回答：%s
+            """.formatted(question, referenceAnswer, answer);
+        return modelService.tryChat(system, user, DAILY_DRILL_TEMPERATURE)
+            .flatMap(this::parseDailyDrillAssessment);
+    }
+
     private Optional<PracticeScore> parseScore(String content) {
         try {
             JsonNode root = objectMapper.readTree(extractJson(content));
@@ -184,6 +211,25 @@ public class AihrPracticeLlmService {
         }
     }
 
+    private Optional<DailyDrillAssessment> parseDailyDrillAssessment(String content) {
+        try {
+            JsonNode root = objectMapper.readTree(extractJson(content));
+            JsonNode scoreNode = root.path("score");
+            if (!scoreNode.isNumber() && !scoreNode.isTextual()) {
+                return Optional.empty();
+            }
+            int score = clampScore(scoreNode.asInt());
+            String feedback = truncateText(root.path("feedback").asText(""), 300);
+            if (feedback.isBlank()) {
+                return Optional.empty();
+            }
+            return Optional.of(new DailyDrillAssessment(score, feedback));
+        } catch (Exception e) {
+            log.warn("daily drill score parse failed, falls back to rule score（处理错误已隐藏）");
+            return Optional.empty();
+        }
+    }
+
     private Optional<PracticeTurn> parseTurn(String content, int defaultEmotion, int defaultTrust, String defaultCoachHint) {
         try {
             JsonNode root = objectMapper.readTree(extractJson(content));

backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java

@@ -45,6 +45,7 @@ import org.dromara.aihr.domain.AihrPracticeDto.TurnRequest;
 import org.dromara.aihr.domain.AihrPracticeDto.TurnResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.TeamMemberResponse;
 import org.dromara.aihr.service.AihrPracticeLlmService.PracticeTurn;
+import org.dromara.aihr.service.AihrPracticeLlmService.DailyDrillAssessment;
 import org.dromara.common.core.exception.ServiceException;
 import org.dromara.common.satoken.utils.LoginHelper;
 import org.springframework.beans.factory.annotation.Autowired;
@@ -1053,7 +1054,7 @@ public class AihrPracticeSeedService {
         args.add(limit);
         String sql = """
             SELECT id, ext_party_id, trainee_name, scenario_id, scenario_name, source, reason, status, create_time,
-                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score
+                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score, score_mode
             FROM aihr_practice_assignment
             %s
             ORDER BY create_time DESC, id DESC
@@ -1826,7 +1827,7 @@ public class AihrPracticeSeedService {
         ensureDailyDrills(party);
         return jdbcTemplate.query("""
             SELECT id, ext_party_id, trainee_name, scenario_id, scenario_name, source, reason, status, create_time,
-                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score
+                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score, score_mode
             FROM aihr_practice_assignment
             WHERE tenant_id = ?
               AND (? = '' OR ext_party_id = ?)
@@ -1864,7 +1865,7 @@ public class AihrPracticeSeedService {
         args.add(normalizeLimit(limit));
         return jdbcTemplate.query("""
             SELECT id, ext_party_id, trainee_name, scenario_id, scenario_name, source, reason, status, create_time,
-                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score
+                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score, score_mode
             FROM aihr_practice_assignment
             WHERE tenant_id = ?
               AND ext_party_id IN (%s)
@@ -1993,13 +1994,13 @@ public class AihrPracticeSeedService {
             """, tenantId(), extPartyId, traineeName, scenario.id(), scenario.name(), source, reason, createdAt, createdAt);
         List<PracticeAssignmentResponse> rows = jdbcTemplate.query("""
             SELECT id, ext_party_id, trainee_name, scenario_id, scenario_name, source, reason, status, create_time,
-                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score
+                   answer_text, answer_audio_url, answer_audio_oss_id, feedback, correct, score, score_mode
             FROM aihr_practice_assignment
             WHERE tenant_id = ? AND ext_party_id = ? AND scenario_id = ? AND source = ? AND reason = ?
             ORDER BY id DESC
             LIMIT 1
             """, this::mapAssignment, tenantId(), extPartyId, scenario.id(), source, reason);
-            return rows.isEmpty() ? new PracticeAssignmentResponse(null, extPartyId, traineeName, scenario.id(), scenario.name(), source, reason, "待训练", now.format(TIME_FORMATTER), null, null, null, null, null, null, null, null) : rows.get(0);
+            return rows.isEmpty() ? new PracticeAssignmentResponse(null, extPartyId, traineeName, scenario.id(), scenario.name(), source, reason, "待训练", now.format(TIME_FORMATTER), null, null, null, null, null, null, null, null, null) : rows.get(0);
     }
 
     public PracticeAssignmentResponse createAssignment(PracticeAssignmentRequest request, String supervisorExtPartyId) {
@@ -2061,7 +2062,7 @@ public class AihrPracticeSeedService {
         String answer = maskSensitiveText(firstNonBlank(request == null ? null : request.answer(), ""));
         String audioUrl = firstNonBlank(request == null ? null : request.audioUrl(), "");
         Long audioOssId = request == null ? null : request.audioOssId();
-        DailyDrillScore score = scoreDailyDrill(answer, parts.referenceAnswer());
+        DailyDrillScore score = scoreDailyDrill(parts.question(), answer, parts.referenceAnswer());
         LocalDateTime now = LocalDateTime.now();
         int updated = jdbcTemplate.update("""
             UPDATE aihr_practice_assignment
@@ -2072,6 +2073,7 @@ public class AihrPracticeSeedService {
                 feedback = ?,
                 correct = ?,
                 score = ?,
+                score_mode = ?,
                 finished_time = ?,
                 update_time = ?
             WHERE tenant_id = ? AND id = ? AND source = 'daily'
@@ -2084,6 +2086,7 @@ public class AihrPracticeSeedService {
             score.feedback(),
             score.correct() ? 1 : 0,
             score.score(),
+            score.mode(),
             Timestamp.valueOf(now),
             Timestamp.valueOf(now),
             tenantId(),
@@ -2092,7 +2095,7 @@ public class AihrPracticeSeedService {
         if (updated == 0) {
             return null;
         }
-        return new DailyDrillAnswerResponse(id, "已完成", score.correct(), score.score(), score.feedback(), parts.referenceAnswer(), audioUrl, audioOssId);
+        return new DailyDrillAnswerResponse(id, "已完成", score.correct(), score.score(), score.feedback(), parts.referenceAnswer(), score.mode(), audioUrl, audioOssId);
     }
 
     public List<PromptTemplateResponse> promptTemplates(String category, String code, Boolean enabled) {
@@ -2674,6 +2677,7 @@ public class AihrPracticeSeedService {
             "daily".equals(source) ? stripReferenceAnswer(rs.getString("feedback")) : rs.getString("feedback"),
             correctValue == null ? null : rs.getBoolean("correct"),
             rs.getObject("score") == null ? null : rs.getInt("score"),
+            firstNonBlank(rs.getString("score_mode"), "RULE_FALLBACK"),
             rs.getString("answer_audio_url"),
             rs.getObject("answer_audio_oss_id") == null ? null : rs.getLong("answer_audio_oss_id")
         );
@@ -2704,10 +2708,22 @@ public class AihrPracticeSeedService {
         return new DailyDrillParts(question, reference);
     }
 
-    private DailyDrillScore scoreDailyDrill(String answer, String reference) {
+    private DailyDrillScore scoreDailyDrill(String question, String answer, String reference) {
         if (isBlank(answer)) {
-            return new DailyDrillScore(false, 0, "请先写出你的处理话术，再对照参考答案补齐关键动作。");
+            return new DailyDrillScore(false, 0, "请先写出你的处理话术，再对照参考答案补齐关键动作。", "RULE_FALLBACK");
         }
+        if (practiceLlmService != null) {
+            Optional<DailyDrillAssessment> assessment = practiceLlmService.scoreDailyDrill(question, reference, answer);
+            if (assessment.isPresent()) {
+                DailyDrillAssessment value = assessment.get();
+                int score = Math.max(0, Math.min(100, value.score()));
+                return new DailyDrillScore(score >= 70, score, value.feedback(), "LLM");
+            }
+        }
+        return scoreDailyDrillFallback(answer, reference);
+    }
+
+    private DailyDrillScore scoreDailyDrillFallback(String answer, String reference) {
         List<String> required = dailyDrillKeywords(reference);
         List<String> hit = new ArrayList<>();
         List<String> missing = new ArrayList<>();
@@ -2727,7 +2743,7 @@ public class AihrPracticeSeedService {
         String feedback = (correct ? "回答方向正确。" : "还缺关键动作。")
             + (hit.isEmpty() ? "" : "已命中：" + String.join("、", hit) + "。")
             + (missing.isEmpty() ? "" : "建议补充：" + String.join("、", missing) + "。");
-        return new DailyDrillScore(correct, score, feedback);
+        return new DailyDrillScore(correct, score, feedback, "RULE_FALLBACK");
     }
 
     private String stripReferenceAnswer(String feedback) {
@@ -3581,6 +3597,7 @@ public class AihrPracticeSeedService {
                   `feedback` varchar(1000) DEFAULT NULL COMMENT '每日三题反馈',
                   `correct` tinyint DEFAULT NULL COMMENT '是否答对',
                   `score` int DEFAULT NULL COMMENT '每日三题得分',
+                  `score_mode` varchar(30) DEFAULT NULL COMMENT '评分模式 LLM/RULE_FALLBACK',
                   `finished_time` datetime DEFAULT NULL COMMENT '完成时间',
                   `create_time` datetime DEFAULT NULL COMMENT '创建时间',
                   `update_time` datetime DEFAULT NULL COMMENT '更新时间',
@@ -3595,7 +3612,8 @@ public class AihrPracticeSeedService {
             ensureColumn("aihr_practice_assignment", "feedback", "ALTER TABLE aihr_practice_assignment ADD COLUMN `feedback` varchar(1000) DEFAULT NULL COMMENT '每日三题反馈' AFTER `answer_audio_oss_id`");
             ensureColumn("aihr_practice_assignment", "correct", "ALTER TABLE aihr_practice_assignment ADD COLUMN `correct` tinyint DEFAULT NULL COMMENT '是否答对' AFTER `feedback`");
             ensureColumn("aihr_practice_assignment", "score", "ALTER TABLE aihr_practice_assignment ADD COLUMN `score` int DEFAULT NULL COMMENT '每日三题得分' AFTER `correct`");
-            ensureColumn("aihr_practice_assignment", "finished_time", "ALTER TABLE aihr_practice_assignment ADD COLUMN `finished_time` datetime DEFAULT NULL COMMENT '完成时间' AFTER `score`");
+            ensureColumn("aihr_practice_assignment", "score_mode", "ALTER TABLE aihr_practice_assignment ADD COLUMN `score_mode` varchar(30) DEFAULT NULL COMMENT '评分模式 LLM/RULE_FALLBACK' AFTER `score`");
+            ensureColumn("aihr_practice_assignment", "finished_time", "ALTER TABLE aihr_practice_assignment ADD COLUMN `finished_time` datetime DEFAULT NULL COMMENT '完成时间' AFTER `score_mode`");
             assignmentTableReady = true;
         }
     }
@@ -4123,7 +4141,7 @@ public class AihrPracticeSeedService {
     private record DailyDrillParts(String question, String referenceAnswer) {
     }
 
-    private record DailyDrillScore(boolean correct, int score, String feedback) {
+    private record DailyDrillScore(boolean correct, int score, String feedback, String mode) {
     }
 
     private record TurnEvidence(Integer emotion, Integer trust, Boolean redFlag, String coachHint) {

backend/ruoyi-modules/ruoyi-aihr/src/test/java/org/dromara/aihr/service/AihrPracticeLlmServiceTest.java

@@ -0,0 +1,46 @@
+package org.dromara.aihr.service;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import org.junit.jupiter.api.Tag;
+import org.junit.jupiter.api.Test;
+
+import java.util.Optional;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+import static org.mockito.ArgumentMatchers.anyString;
+import static org.mockito.ArgumentMatchers.eq;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.when;
+
+@Tag("dev")
+class AihrPracticeLlmServiceTest {
+
+    @Test
+    void dailyDrillAssessmentParsesStructuredModelResponse() {
+        AihrModelSeedService modelService = mock(AihrModelSeedService.class);
+        when(modelService.tryChat(anyString(), anyString(), eq(0.0)))
+            .thenReturn(Optional.of("{\"score\":86,\"feedback\":\"先承接情绪，再补责任人和反馈时间。\"}"));
+        AihrPracticeLlmService service = new AihrPracticeLlmService(modelService, new ObjectMapper());
+
+        var result = service.scoreDailyDrill(
+            "业主投诉车库积水，第一句话先说什么？",
+            "先承接情绪，再确认点位、责任人和首次反馈时间。",
+            "我先向您道歉并确认具体点位，安排责任人跟进，十分钟内给您首次反馈。"
+        );
+
+        assertTrue(result.isPresent());
+        assertEquals(86, result.get().score());
+        assertEquals("先承接情绪，再补责任人和反馈时间。", result.get().feedback());
+    }
+
+    @Test
+    void dailyDrillAssessmentRejectsUnstructuredResponse() {
+        AihrModelSeedService modelService = mock(AihrModelSeedService.class);
+        when(modelService.tryChat(anyString(), anyString(), eq(0.0)))
+            .thenReturn(Optional.of("模型暂时无法给出结构化结果"));
+        AihrPracticeLlmService service = new AihrPracticeLlmService(modelService, new ObjectMapper());
+
+        assertTrue(service.scoreDailyDrill("题目", "参考答案", "员工回答").isEmpty());
+    }
+}

backend/ruoyi-modules/ruoyi-aihr/src/test/java/org/dromara/aihr/service/AihrPracticeSeedServiceTest.java

@@ -230,10 +230,13 @@ public class AihrPracticeSeedServiceTest {
         assertTrue(answerStart >= 0 && answerEnd > answerStart);
         String answerMethod = source.substring(answerStart, answerEnd);
         assertTrue(answerMethod.contains("score = ?"));
+        assertTrue(answerMethod.contains("score_mode = ?"));
         assertTrue(answerMethod.contains("score.score()"));
-        assertTrue(source.contains("feedback, correct, score"));
+        assertTrue(source.contains("feedback, correct, score, score_mode"));
         assertTrue(source.contains("rs.getObject(\"score\")"));
+        assertTrue(source.contains("score.mode()"));
         assertTrue(source.contains("ADD COLUMN `score` int"));
+        assertTrue(source.contains("ADD COLUMN `score_mode` varchar(30)"));
     }
 
     @Test

backend/script/sql/aihr_practice_mysql8.sql

@@ -107,6 +107,7 @@ CREATE TABLE IF NOT EXISTS `aihr_practice_assignment` (
   `feedback` varchar(1000) DEFAULT NULL COMMENT '每日三题反馈',
   `correct` tinyint DEFAULT NULL COMMENT '是否答对',
   `score` int DEFAULT NULL COMMENT '每日三题得分',
+  `score_mode` varchar(30) DEFAULT NULL COMMENT '评分模式 LLM/RULE_FALLBACK',
   `finished_time` datetime DEFAULT NULL COMMENT '完成时间',
   `create_time` datetime DEFAULT NULL COMMENT '创建时间',
   `update_time` datetime DEFAULT NULL COMMENT '更新时间',

backend/script/sql/update/aihr_20260714_daily_drill_score_mode_mysql8.sql

@@ -0,0 +1,23 @@
+-- 每日三题评分模式留痕：幂等补列，不写入业务数据。
+SET @db_name = DATABASE();
+SET @table_exists = (
+  SELECT COUNT(*)
+  FROM information_schema.tables
+  WHERE table_schema = @db_name
+    AND table_name = 'aihr_practice_assignment'
+);
+SET @column_exists = (
+  SELECT COUNT(*)
+  FROM information_schema.columns
+  WHERE table_schema = @db_name
+    AND table_name = 'aihr_practice_assignment'
+    AND column_name = 'score_mode'
+);
+SET @ddl = IF(
+  @table_exists = 1 AND @column_exists = 0,
+  'ALTER TABLE aihr_practice_assignment ADD COLUMN score_mode varchar(30) DEFAULT NULL COMMENT ''评分模式 LLM/RULE_FALLBACK'' AFTER score',
+  'SELECT 1'
+);
+PREPARE stmt FROM @ddl;
+EXECUTE stmt;
+DEALLOCATE PREPARE stmt;

docs/BRD_IMPLEMENTATION_AUDIT.md

@@ -299,3 +299,4 @@
 - 2026-07-14 发布预检业务码误匹配修复：业务码校验进一步收紧为 JSON 顶层首字段 `code=200`，不再接受嵌套对象中的同名 `code=200`；本地成功/嵌套失败样例与线上租户接口均验证通过。三端产物已重建且时间不早于当前提交，完整预检仍因两份用户未提交的 Figma 文档停止，本轮未发布生产。
 - 2026-07-14 BRD 最新线上只读复核：生产根站与 `/h5/` 返回 `200`，线上仍加载管理端 `assets/index-CJZ3Ax3Z.js` 与 H5 `assets/index-D4-NrEpb.js`；当前本地提交 `94d483d3` 构建资源分别为 `assets/index-Cv2wI9UI.js`（SHA-256 `cd6e3eab4a684141ccd64617dcde4d99030c9c13f7da618c11e1709c04f244a0`）和 `assets/index-Dq7sfWZP.js`（SHA-256 `f8499e5f261cc06d02de275e285e4a7c946dd6ef54fd29b3a1c0bc7a9a689c3d`）。本轮只读核验，未执行生产静态资源同步、后端重启或业务数据写入；五维修复仍未被证明在线上生效。
 - 2026-07-14 BRD 4.7/M5 SOP 试点评审主体留痕修复：SOP 搜索生成评审记录时，现仅从已认证 APP 用户上下文保存 `requester_ext_party_id`，不接受客户端传入主体；管理端/系统搜索保持空值。正式 SOP 评审统计和严格门禁只统计已评审、有提问员工主体且能命中当前租户在职组织快照的记录，避免管理员烟测、临时 APP 账号或无组织身份数据混入正式可用率；同步补 reset SQL、幂等迁移脚本、运行时补列和回归门禁。该修复只完善证据归属，仍需真实员工提问和人工评审样本，不能把有主体字段等同于 M5 已达标。
+- 2026-07-14 BRD 4.4 每日三题评分模式补齐：每日题提交现优先调用现有 chat 模型做 temperature=0 的结构化语义评估；模型未配置、成本闸门关闭或 JSON 解析失败时继续使用原关键词/长度规则，并在 `aihr_practice_assignment.score_mode` 留痕为 `LLM` 或 `RULE_FALLBACK`。员工端完成反馈同步显示评分模式，避免把规则分数误称为 AI 评测；新增幂等迁移、AIHR 单测和 demo marker。正式试点仍需确认模型供应商、成本预算和人工抽检，不把 LLM 路径可调用等同于 BRD 4.4 的质量达标。

mobile-uni/src/pages/user/practice/index.vue

@@ -370,7 +370,8 @@ const assignmentDesc = (item: PracticeAssignment) => {
   if (item.source === 'daily' && item.status !== '已完成') return '提交后显示反馈与参考答案';
   if (item.source === 'daily' && item.status === '已完成') {
     const score = typeof item.score === 'number' ? `得分 ${item.score} 分` : '';
-    return [score, item.feedback || item.reason].filter(Boolean).join(' · ');
+    const mode = item.scoreMode === 'LLM' ? 'AI语义评估' : '规则兜底';
+    return [score, mode, item.feedback || item.reason].filter(Boolean).join(' · ');
   }
   return item.feedback || item.reason;
 };
@@ -682,12 +683,14 @@ const submitDaily = async (item: PracticeAssignment) => {
             feedback: result.feedback,
             referenceAnswer: result.referenceAnswer,
             correct: result.correct,
+            score: result.score,
+            scoreMode: result.scoreMode,
             audioUrl: result.audioUrl || audioUrl,
             audioOssId: result.audioOssId || audioOssId
           }
         : row
     );
-    message.value = `每日三题得分 ${result.score}`;
+    message.value = `每日三题得分 ${result.score}（${result.scoreMode === 'LLM' ? 'AI语义评估' : '规则兜底'}）`;
   } catch (error) {
     handleError(error, '每日三题提交失败');
   } finally {

mobile-uni/src/types/api.ts

@@ -310,6 +310,7 @@ export interface PracticeAssignment {
   feedback?: string;
   correct?: boolean | null;
   score?: number | null;
+  scoreMode?: string;
   audioUrl?: string;
   audioOssId?: number | string;
 }
@@ -330,6 +331,7 @@ export interface DailyDrillAnswerResponse {
   score: number;
   feedback: string;
   referenceAnswer: string;
+  scoreMode?: string;
   audioUrl?: string;
   audioOssId?: number | string;
 }

scripts/demo-check.sh

@@ -565,6 +565,10 @@ contains mobile-uni/src/pages/supervisor/review/index.vue "人工贡献分"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/controller/AihrMobileController.java "/practice/reviews/{id}/reviewed"
 contains mobile-uni/src/pages/supervisor/review/index.vue "标记已复盘"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "source = 'retry'"
+contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "score_mode"
+contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeLlmService.java "scoreDailyDrill"
+contains backend/script/sql/update/aihr_20260714_daily_drill_score_mode_mysql8.sql "score_mode"
+contains mobile-uni/src/pages/user/practice/index.vue "AI语义评估"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java 'String source = "manual"'
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "训练场景已停用，无法开始"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "scenario.id(), scenario.name(), source"