feat(aihr): add pilot satisfaction evidence loop

backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/controller/AihrMobileController.java

@@ -16,6 +16,8 @@ import org.dromara.aihr.domain.AihrPracticeDto.RecordResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.MistakeResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.ReviewAdviceRequest;
 import org.dromara.aihr.domain.AihrPracticeDto.ReviewDetailResponse;
+import org.dromara.aihr.domain.AihrPracticeDto.SatisfactionRequest;
+import org.dromara.aihr.domain.AihrPracticeDto.SatisfactionResponse;
 import org.dromara.aihr.domain.vo.AihrMobileDto.HomeResponse;
 import org.dromara.aihr.domain.vo.AihrMobileDto.IdentityResponse;
 import org.dromara.aihr.service.AihrOrgSyncService;
@@ -156,6 +158,12 @@ public class AihrMobileController {
         return response == null ? R.fail("每日三题不存在") : R.ok(response);
     }
 
+    @PostMapping("/practice/satisfaction")
+    public R<SatisfactionResponse> submitSatisfaction(@RequestBody SatisfactionRequest request) {
+        SatisfactionResponse response = mobileSeedService.submitSatisfaction(request, ownMobileExtPartyId(null));
+        return response == null ? R.fail("满意度提交失败，请确认训练已完成且评分为1-5分") : R.ok(response);
+    }
+
     private static String ownMobileExtPartyId(String requested) {
         String username = currentAppUsername();
         return username.isBlank() ? requested : username;

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

@@ -136,6 +136,12 @@ public final class AihrPracticeDto {
     ) {
     }
 
+    public record SatisfactionRequest(String sessionId, Integer score, String comment) {
+    }
+
+    public record SatisfactionResponse(String sessionId, Integer score, String comment, String submittedAt) {
+    }
+
     public record DimensionResponse(String label, Object value, String note) {
     }
 

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

@@ -12,6 +12,8 @@ import org.dromara.aihr.domain.AihrPracticeDto.RecordResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.MistakeResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.ReviewAdviceRequest;
 import org.dromara.aihr.domain.AihrPracticeDto.ReviewDetailResponse;
+import org.dromara.aihr.domain.AihrPracticeDto.SatisfactionRequest;
+import org.dromara.aihr.domain.AihrPracticeDto.SatisfactionResponse;
 import org.dromara.aihr.domain.vo.AihrMobileDto.HomeResponse;
 import org.dromara.aihr.domain.vo.AihrMobileDto.MetricResponse;
 import org.dromara.aihr.domain.vo.AihrMobileDto.MiniStatResponse;
@@ -98,6 +100,10 @@ public class AihrMobileSeedService {
         return practiceSeedService.markReviewed(id, request, supervisorExtPartyId);
     }
 
+    public SatisfactionResponse submitSatisfaction(SatisfactionRequest request, String extPartyId) {
+        return practiceSeedService.submitSatisfaction(request, extPartyId);
+    }
+
     public CompetencyResponse profile(String extPartyId) {
         return practiceSeedService.competency(extPartyId);
     }

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

@@ -36,6 +36,8 @@ import org.dromara.aihr.domain.AihrPracticeDto.RubricSaveRequest;
 import org.dromara.aihr.domain.AihrPracticeDto.ScenarioEnabledRequest;
 import org.dromara.aihr.domain.AihrPracticeDto.ScenarioResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.ScenarioSaveRequest;
+import org.dromara.aihr.domain.AihrPracticeDto.SatisfactionRequest;
+import org.dromara.aihr.domain.AihrPracticeDto.SatisfactionResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.StartRequest;
 import org.dromara.aihr.domain.AihrPracticeDto.StartResponse;
 import org.dromara.aihr.domain.AihrPracticeDto.TurnRequest;
@@ -176,6 +178,8 @@ public class AihrPracticeSeedService {
           (SELECT COUNT(*) FROM formal_sessions WHERE status = '已复盘') AS reviewed_count,
           (SELECT COUNT(*) FROM formal_sessions WHERE total_score < 80 OR status = '待复盘') AS alert_count,
           COALESCE((SELECT AVG(total_score) FROM formal_sessions), 0) AS average_score,
+          (SELECT COUNT(*) FROM formal_sessions WHERE satisfaction_score IS NOT NULL) AS satisfaction_count,
+          COALESCE((SELECT AVG(satisfaction_score) FROM formal_sessions WHERE satisfaction_score IS NOT NULL), 0) AS satisfaction_average,
           (SELECT COUNT(*) FROM calibration_rows) AS calibration_count,
           COALESCE((SELECT SUM(CASE
             WHEN (CASE WHEN original_score < 60 THEN 0 WHEN original_score < 75 THEN 1 WHEN original_score < 90 THEN 2 ELSE 3 END)
@@ -188,6 +192,7 @@ public class AihrPracticeSeedService {
                   FROM safe_org o WHERE o.ext_party_id = s.formal_ext_party_id) AS project_codes,
                s.session_id, s.trainee_name, s.scenario_name, s.total_score, s.status,
                s.finished_time, s.summary, s.review_advice, s.incentive_point,
+               s.satisfaction_score, s.satisfaction_comment,
                s.total_score AS ai_score,
                c.original_score AS calibration_original_score,
                c.corrected_score AS human_score,
@@ -1005,6 +1010,8 @@ public class AihrPracticeSeedService {
                 rs.getInt("reviewed_count"),
                 rs.getInt("alert_count"),
                 rs.getDouble("average_score"),
+                rs.getInt("satisfaction_count"),
+                rs.getDouble("satisfaction_average"),
                 rs.getInt("calibration_count"),
                 rs.getInt("calibration_matched")
             ), TENANT_ID, startTime, endTime);
@@ -1027,6 +1034,7 @@ public class AihrPracticeSeedService {
         boolean calibrationReady = metrics.calibrationCount() >= 20
             && metrics.calibrationMatched() * 100 >= metrics.calibrationCount() * 70;
         boolean sopReady = sopStats.total() > 0 && sopStats.usable() * 100 >= sopStats.total() * 80;
+        boolean satisfactionReady = metrics.satisfactionCount() > 0 && metrics.satisfactionAverage() >= 4.0D;
         StringBuilder csv = new StringBuilder();
         appendCsvRow(csv, "metric", "value");
         appendCsvRow(csv, "pilot_start_date", startDate);
@@ -1062,9 +1070,13 @@ public class AihrPracticeSeedService {
         appendCsvRow(csv, "sop_answer_usable_rate", percent(sopStats.usable(), sopStats.total()));
         appendCsvRow(csv, "sop_answer_usable_target", "80.0%");
         appendCsvRow(csv, "sop_answer_usable_ready", sopReady);
-        appendCsvRow(csv, "pilot_metric_ready", metrics.scenarioCount() >= 12 && completionReady && calibrationReady && sopReady);
+        appendCsvRow(csv, "satisfaction_response_count", metrics.satisfactionCount());
+        appendCsvRow(csv, "satisfaction_average", String.format(java.util.Locale.ROOT, "%.1f", metrics.satisfactionAverage()));
+        appendCsvRow(csv, "satisfaction_target", ">=4.0/5");
+        appendCsvRow(csv, "satisfaction_ready", satisfactionReady);
+        appendCsvRow(csv, "pilot_metric_ready", metrics.scenarioCount() >= 12 && completionReady && calibrationReady && sopReady && satisfactionReady);
         csv.append('\n');
-        appendCsvRow(csv, "formal_ext_party_id", "project_codes", "session_id", "trainee", "scene", "score", "status", "finished_time", "summary", "review_advice", "incentive_point", "ai_score", "calibration_original_score", "human_score", "calibration_reviewer", "calibration_time", "final_adopted_score");
+        appendCsvRow(csv, "formal_ext_party_id", "project_codes", "session_id", "trainee", "scene", "score", "status", "finished_time", "summary", "review_advice", "incentive_point", "satisfaction_score", "satisfaction_comment", "ai_score", "calibration_original_score", "human_score", "calibration_reviewer", "calibration_time", "final_adopted_score");
         sessionRows.forEach(row -> appendCsvRow(
             csv,
             row.get("formal_ext_party_id"),
@@ -1078,6 +1090,8 @@ public class AihrPracticeSeedService {
             row.get("summary"),
             row.get("review_advice"),
             row.get("incentive_point"),
+            row.get("satisfaction_score"),
+            row.get("satisfaction_comment"),
             row.get("ai_score"),
             row.get("calibration_original_score"),
             row.get("human_score"),
@@ -1216,6 +1230,31 @@ public class AihrPracticeSeedService {
         return markReviewed(id, request);
     }
 
+    @Transactional(rollbackFor = Exception.class)
+    public SatisfactionResponse submitSatisfaction(SatisfactionRequest request, String extPartyId) {
+        ensurePracticeTable();
+        if (request == null || isBlank(request.sessionId()) || isBlank(extPartyId)
+            || request.score() == null || request.score() < 1 || request.score() > 5) {
+            return null;
+        }
+        String comment = request.comment() == null ? "" : request.comment().trim();
+        if (comment.length() > 500) {
+            comment = comment.substring(0, 500);
+        }
+        comment = maskSensitiveText(comment);
+        Timestamp submittedAt = Timestamp.valueOf(LocalDateTime.now());
+        int updated = jdbcTemplate.update("""
+            UPDATE aihr_practice_session
+            SET satisfaction_score = ?, satisfaction_comment = ?, update_time = ?
+            WHERE tenant_id = ? AND mode = 'mobile' AND session_id = ? AND ext_party_id = ? AND finished_time IS NOT NULL
+            """,
+            request.score(), comment, submittedAt, TENANT_ID, request.sessionId().trim(), extPartyId.trim());
+        if (updated == 0) {
+            return null;
+        }
+        return new SatisfactionResponse(request.sessionId().trim(), request.score(), comment, submittedAt.toString());
+    }
+
     public List<AnnotationResponse> saveAnnotations(String sessionId, AnnotationSaveRequest request) {
         ensurePracticeTable();
         if (isBlank(sessionId)) {
@@ -2902,6 +2941,8 @@ public class AihrPracticeSeedService {
                   `ai_comment` varchar(1000) DEFAULT NULL COMMENT 'AI点评',
                   `review_advice` varchar(1000) DEFAULT NULL COMMENT '主管复盘建议',
                   `incentive_point` int DEFAULT NULL COMMENT '主管人工贡献分',
+                  `satisfaction_score` tinyint DEFAULT NULL COMMENT '员工训练满意度1-5分',
+                  `satisfaction_comment` varchar(500) DEFAULT NULL COMMENT '员工训练满意度意见',
                   `summary` varchar(1000) DEFAULT NULL COMMENT '摘要',
                   `dialogue_json` text DEFAULT NULL COMMENT '对练话术JSON',
                   `annotations_json` text DEFAULT NULL COMMENT '逐句标注JSON',
@@ -2921,6 +2962,8 @@ public class AihrPracticeSeedService {
             ensurePracticeColumn("annotations_json", "ALTER TABLE aihr_practice_session ADD COLUMN `annotations_json` text DEFAULT NULL COMMENT '逐句标注JSON' AFTER `dialogue_json`");
             ensurePracticeColumn("review_advice", "ALTER TABLE aihr_practice_session ADD COLUMN `review_advice` varchar(1000) DEFAULT NULL COMMENT '主管复盘建议' AFTER `ai_comment`");
             ensurePracticeColumn("incentive_point", "ALTER TABLE aihr_practice_session ADD COLUMN `incentive_point` int DEFAULT NULL COMMENT '主管人工贡献分' AFTER `review_advice`");
+            ensurePracticeColumn("satisfaction_score", "ALTER TABLE aihr_practice_session ADD COLUMN `satisfaction_score` tinyint DEFAULT NULL COMMENT '员工训练满意度1-5分' AFTER `incentive_point`");
+            ensurePracticeColumn("satisfaction_comment", "ALTER TABLE aihr_practice_session ADD COLUMN `satisfaction_comment` varchar(500) DEFAULT NULL COMMENT '员工训练满意度意见' AFTER `satisfaction_score`");
             practiceTableReady = true;
         }
     }
@@ -3450,6 +3493,8 @@ public class AihrPracticeSeedService {
         int reviewedCount,
         int alertCount,
         double averageScore,
+        int satisfactionCount,
+        double satisfactionAverage,
         int calibrationCount,
         int calibrationMatched
     ) {

backend/script/sql/aihr_practice_mysql8.sql

@@ -19,6 +19,8 @@ CREATE TABLE IF NOT EXISTS `aihr_practice_session` (
   `ai_comment` varchar(1000) DEFAULT NULL COMMENT 'AI点评',
   `review_advice` varchar(1000) DEFAULT NULL COMMENT '主管复盘建议',
   `incentive_point` int DEFAULT NULL COMMENT '主管人工贡献分',
+  `satisfaction_score` tinyint DEFAULT NULL COMMENT '员工训练满意度1-5分',
+  `satisfaction_comment` varchar(500) DEFAULT NULL COMMENT '员工训练满意度意见',
   `summary` varchar(1000) DEFAULT NULL COMMENT '摘要',
   `dialogue_json` text DEFAULT NULL COMMENT '对练话术JSON',
   `annotations_json` text DEFAULT NULL COMMENT '逐句标注JSON',

docs/API_INTEGRATION.md

@@ -8,7 +8,7 @@
 |---|---|---|
 | AI面试 `/recruit/interview` | `POST /api/recruit/interview/start`、`/answer`、`/finish` | 已接入真实模型优先链路：配置 chat 模型后 `/start` 动态生成面试题，`/finish` 按前端提交的真实回答做结构化评分；未配置模型时使用本地 Rubric 估分，不返回固定候选人分数 |
 | 三角色对练 `/train/practice` | `POST /api/train/practice/start`、`/turn`、`/finish` | 已接入编排 API；数据库启用 chat 模型后，`/turn` 客户回复按人设走真 LLM 生成（seed 剧本作剧情锚点），`/finish` 走单次 temperature=0 结构化评分（4 维分+导师改写+点评）；模型未配置或调用失败自动回退 seed，契约不变 |
-| 正式试点数据导出 | `GET /api/train/practice/export?startDate=YYYY-MM-DD&endDate=YYYY-MM-DD` | 起止日期必填且包含结束日；只统计窗口内能通过唯一手机号或外部 ID 映射到在职组织快照的正式会话，排除重复手机号和身份碰撞。完训定义为每人至少 10 次，校准必须关联同一窗口内正式会话；CSV 同时给出校准命中数、SOP 可用数，以及明细级 AI 分、人工校准分、校准人、校准时间和最终采用分，避免用四舍五入后的比率反推门禁状态；汇总和明细均携带正式人员及项目口径，不混入历史 seed/开发身份 |
+| 正式试点数据导出 | `GET /api/train/practice/export?startDate=YYYY-MM-DD&endDate=YYYY-MM-DD` | 起止日期必填且包含结束日；只统计窗口内能通过唯一手机号或外部 ID 映射到在职组织快照的正式会话，排除重复手机号和身份碰撞。完训定义为每人至少 10 次，校准必须关联同一窗口内正式会话；CSV 同时给出校准命中数、SOP 可用数、满意度响应数/平均分，以及明细级 AI 分、人工校准分、校准人、校准时间、最终采用分、满意度分和意见，避免用四舍五入后的比率反推门禁状态；汇总和明细均携带正式人员及项目口径，不混入历史 seed/开发身份 |
 | 对练语音 | `POST /api/ai/asr`（multipart 字段 `file`，≤5MB）、`POST /api/ai/tts`（JSON `{text≤300字, voice}`，返回 `{audioUrl}` base64 dataURL） | 走 OpenAI-compatible audio 接口（如硅基流动 SenseVoice/CosyVoice2）；模型管理需启用 `category=asr/tts` 配置；移动端优先用浏览器录音，`getUserMedia/MediaRecorder` 不可用或麦克风权限失败时，用 `audio/*` file input 选择/录制音频后继续调同一 ASR 接口；ASR/TTS 未配置或失败返回 fail，前端降级文本 |
 | 案例沉淀 `/knowledge/cases` | `POST /api/knowledge/case/upload`、`/organize`、`/curate` | `/upload` 改为 multipart 真实语音上传并走 ASR；`/organize` 用真实转写调 chat 模型整理案例，未配置模型时按真实 transcript 本地结构化；不再用固定样例转写冒充成功 |
 | SOP知识库 `/knowledge/sop` | `POST /api/knowledge/search`、`GET /api/knowledge/position-sop`、`POST /api/knowledge/doc/upload` | 已接入 MySQL Fulltext + Qdrant 混合召回、岗位学习适配摘要、OSS-first 文档上传、txt/md/PDF/Word/Excel/PPT 解析和 embedding 写入，失败回退 seed；`position-sop` 目前只返回一期生活顾问学习导航，不代表正式上岗资格 |
@@ -17,7 +17,7 @@
 | 移动端手机号登录 | `GET /resource/sms/code`、`POST /auth/mobile/sms-login` | 已复用 sms4j 阿里云配置 `config1` 和 RuoYi `sms` 授权策略；短信发送成功后才写 Redis 验证码；手机号不存在时自动注册 `app_user`；`aihr.sms.dev-fixed-code` 非空时不真发短信、验证码固定（dev 默认 `123456`，prod profile 代码级强制失效） |
 | 用户侧三端首页 `mobile-uni` hash 路由；旧 `/h5/user`、`/h5/candidate`、`/h5/supervisor` 兼容重定向 | `GET /api/aihr/mobile/home/{role}` | 已接入员工、候选人、主管首页公开只读 API；移动端本地 fallback 保演示 |
 | 移动端登录后角色识别 | `GET /api/aihr/mobile/me` | 认证后按手机号匹配组织快照；`position_level` 为“主管/项目经理”时进入主管端，否则进入员工端；接口失败回退员工端 |
-| 移动端员工训练与主管复盘闭环 | 员工复用 `POST /api/train/practice/start`、`/turn`、`/finish`，查询 `GET /api/aihr/mobile/practice/history`、`/practice/mistakes`、`/profile`；主管查询 `GET /api/aihr/mobile/practice/team`、`/practice/alerts`、`/practice/reviews`、`/practice/reviews/{id}`，标记 `POST /api/aihr/mobile/practice/reviews/{id}/reviewed`，指派 `POST /api/aihr/mobile/practice/assignments` | 员工端登录后带 `Authorization` 与 `clientid` 调用；`mode=mobile` 完成后写入 `aihr_practice_session`。错题本按员工本人聚合低分/红线回合，并关联已有 `retry` assignment，不伪造错题结论。主管接口以后端当前登录手机号映射在职组织快照，仅允许岗位为“主管/项目经理”的账号，并按租户和项目范围返回真实成员、全状态训练记录及非 daily 专项；普通员工返回“无主管权限”。复盘标记只允许首次 `待复盘 -> 已复盘` 创建后续专项，并发重复提交幂等；可带 `incentivePoint` 写入贡献度 |
+| 移动端员工训练与主管复盘闭环 | 员工复用 `POST /api/train/practice/start`、`/turn`、`/finish`，查询 `GET /api/aihr/mobile/practice/history`、`/practice/mistakes`、`/profile`；训练完成后提交 `POST /api/aihr/mobile/practice/satisfaction`；主管查询 `GET /api/aihr/mobile/practice/team`、`/practice/alerts`、`/practice/reviews`、`/practice/reviews/{id}`，标记 `POST /api/aihr/mobile/practice/reviews/{id}/reviewed`，指派 `POST /api/aihr/mobile/practice/assignments` | 员工端登录后带 `Authorization` 与 `clientid` 调用；`mode=mobile` 完成后写入 `aihr_practice_session`。满意度接口只接受本人已完成训练的 1-5 分，意见脱敏后落库，未填写不补默认值。错题本按员工本人聚合低分/红线回合，并关联已有 `retry` assignment，不伪造错题结论。主管接口以后端当前登录手机号映射在职组织快照，仅允许岗位为“主管/项目经理”的账号，并按租户和项目范围返回真实成员、全状态训练记录及非 daily 专项；普通员工返回“无主管权限”。复盘标记只允许首次 `待复盘 -> 已复盘` 创建后续专项，并发重复提交幂等；可带 `incentivePoint` 写入贡献度 |
 | 移动端候选人闭环 | 页面拆为 `/pages/candidate/index/index`、`/interview/index`、`/materials/index`、`/progress/index`、`/study/index`；面试复用 `POST /api/recruit/interview/start`、`/answer`、`/finish` 和 `GET /records`；资料 `POST/GET /api/aihr/mobile/candidate/materials`；预习 `POST /api/knowledge/search`；HR 审核 `GET /api/aihr/hr/candidate/materials`、`POST /api/aihr/hr/candidate/materials/{id}/review` | 候选人端登录后带 `Authorization` 与 `clientid` 调用；首页只按当前手机号对应的真实面试记录和最新资料状态分流，不读取公开 home seed。APP 候选人身份以后端登录手机号为准，前端 `candidateId/candidateName` 只作非 APP 场景兼容参数；面试拉题/评分走真实模型优先；资料写 `sys_oss`/MinIO 和 `aihr_candidate_material`，HR 审核后进度页同步三态；岗前预习查询正式 SOP，不兜前端示例答案 |
 
 ## 后端落点
@@ -132,7 +132,7 @@ curl -fsS "$API_BASE/api/aihr/org/sync" \
 - 模型配置 API 文件：`frontend/src/api/aihr/model.ts`
 - 模型配置页面：`frontend/src/views/system/model/index.vue`
 - 用户侧工程：`mobile-uni/`，路由为 `/h5/#/pages/user/today/index`、`/h5/#/pages/user/practice/index`、`/h5/#/pages/user/sop/index`、`/h5/#/pages/user/profile/index`、`/h5/#/pages/candidate/index/index`、`/h5/#/pages/supervisor/index/index`。未登录先走手机号短信登录，登录后 API 优先请求真实业务接口，不复用后台页面路由。语音输入不要新增移动端专用接口，浏览器录音和文件选择兜底都复用 `/api/ai/asr`。
-- 员工端训练：底部“练”进入 `/h5/#/pages/user/practice/index`，展示今日任务、每日三题、专项训练、训练前预习卡和训练对话；完成后记录写入 `aihr_practice_session`，员工端展示训练历史和能力画像，主管端展示待复盘列表，点进单条可看评分、话术、导师改写，并可标记“已复盘”。
+- 员工端训练：底部“练”进入 `/h5/#/pages/user/practice/index`，展示今日任务、每日三题、专项训练、训练前预习卡和训练对话；完成后记录写入 `aihr_practice_session`，员工端可提交 1-5 分训练体验和可选意见，员工端展示训练历史和能力画像，主管端展示待复盘列表，点进单条可看评分、话术、导师改写，并可标记“已复盘”。
 - 候选人端：`/h5/#/pages/candidate/index/index` 的“开始面试/面试练习”复用 AI 面试 API；“补充资料”走候选资料上传接口，成功后展示资料类型和审核状态。管理端 `/recruit/interview` 底部展示“候选资料审核”，支持通过/驳回。
 - 演示 fallback 只作为未配置模型或外部接口异常时的降级，不作为真实测试通过证据。
 

docs/BRD_IMPLEMENTATION_AUDIT.md

@@ -25,9 +25,9 @@
 
 | 缺口 | BRD依据 | 当前事实 | 下一步 |
 |---|---|---|---|
-| 正式主管身份、项目范围和数据权限 | 5.4、L1-B、G3 | 代码已有 `aihr_org_snapshot`、岗位/项目过滤和主管接口；移动端角色查询失败已改为安全降级员工端，但正式上游快照的手机号关联仍不足，线上视觉测试不能替代真实主管身份验证 | 用正式组织同步 dry-run 先核对项目、岗位、`ext_party_id`、手机号；只在上游数据合规后执行正式同步 |
+| 正式主管身份、项目范围和数据权限 | 5.4、L1-B、G3 | 代码已有 `aihr_org_snapshot`、岗位/项目过滤和主管接口；生产快照当前为 22 条 active、2 个项目，但手机号关联为 0/22；移动端角色查询失败已改为安全降级员工端，线上视觉测试不能替代真实主管身份验证 | 先用正式组织接口做 dry-run，核对项目、岗位、`ext_party_id`、手机号；补齐手机号映射并确认主管身份后，才执行正式同步和主管数据权限验收 |
-| 管理端/后端生产发布证据 | 6.3、12.1、L1-C | 当前项目只定义了移动端 H5 的生产地址、远端目录和发布命令；没有可核实的管理端/后端生产 URL、发布脚本、备份位置或健康检查结果，因此 H5 上线不等于整套系统已发布 | 由运维确认管理端/后端生产入口、部署方式、回滚和健康检查，再单独完成管理端/后端发布验证；未确认前不声称全系统上线 |
+| 管理端/后端生产发布证据 | 6.3、12.1、L1-C | 2026-07-14 已核实并发布：生产根站点 `https://peilian.njzhmj.top/`、Caddy `/prod-api`、systemd `wygj-aihr.service` 和后端 jar 均可核查；管理端静态包、后端 jar 已与本地构建 hash 对齐，租户接口和移动端首页 API 返回 200 | 发布证据已具备；后续仍需把正式发布命令、回滚脚本和生产部署凭据纳入运维交接，不能把“服务可访问”直接等同于正式试点通过 |
-| M5 正式试点证据 | L1-B/C/D、G1/G3/G4 | 本地严格门禁和导出能力已存在；本地样本不能代表正式窗口，不能用 seed/烟测数据替代；当前没有正式满意度问卷/评分采集入口，因此无法证明“满意度 ≥4/5” | 固定 1–2 个住宅项目和窗口，按唯一在职身份采集训练、人工校准、SOP 评审、完训率和满意度；先确定问卷量表、采集对象和导出字段 |
+| M5 正式试点证据 | L1-B/C/D、G1/G3/G4 | 已补员工训练后 1–5 分满意度和可选意见采集，意见脱敏后写入 `aihr_practice_session`，CSV/严格门禁可读满意度响应数与平均分；但本地样本不能代表正式窗口，仍不能用 seed/烟测数据替代，尚无法证明“满意度 ≥4/5” | 固定 1–2 个住宅项目和窗口，按唯一在职身份采集训练、人工校准、SOP 评审、完训率和满意度；严格门禁要求满意度有真实响应且平均分 ≥4.0/5 |
 | AI 分数与人工复核边界 | 4.1、4.5、G1/G2 | 面试和对练已有人工复核/校准入口；正式试点 CSV 已补明细级 AI 分、人工校准分、校准人、校准时间和最终采用分；正式试点仍需用真实窗口验证人工可否决证据 | 在正式试点报告中抽查校准记录与最终采用值，确认人工分可覆盖 AI 建议且不直接挂钩绩效/晋升 |
 
 ### P1：一期 BRD 功能仍未形成完整业务闭环
@@ -66,8 +66,12 @@
 
 ## 6. 本轮线上核对记录（2026-07-14）
 
-- 线上入口 `https://peilian.njzhmj.top/h5/` 返回 `HTTP 200`；生产 HTML 的 `Last-Modified` 为 `2026-07-13 19:09`。
+- 线上入口 `https://peilian.njzhmj.top/h5/` 返回 `HTTP 200`；本轮管理端发布后根站点 `https://peilian.njzhmj.top/` 也返回 `HTTP 200`，生产 HTML 的 `Last-Modified` 为 `2026-07-13 19:53:16 GMT`。
 - 发布前线上 HTML 引用 `index-DSualpPE.js`；同步后已改为 `index-DJfe2tlN.js`，主 JS SHA-256 均为 `56afec70ae0f404a3e4a2520b604ea797dc7c1f2a16ce558e6652cea246b45a9`。
 - 使用本地数据库已有手机号和 dev 固定验证码登录线上 H5，岗位确认、员工首页和 `/pages/user/practice/index` 均可打开；这证明线上登录/基础路由可用，不证明线上包已追平当前代码。
 - 发布后真实浏览器登录并打开 `/pages/user/learning/index`，页面已出现“错题本”“全部/红线话术/情绪承接/流程合规/综合得分不足”；打开 `/pages/user/practice/index` 可见训练前预习、最近练过和每日三题。
-- 本次远端备份为 `/opt/wygj/backups/h5-20260714034906`；静态发布已完成，后续发布仍必须保留备份、资源哈希和浏览器回归三项证据。
+- 本次远端备份为 `/opt/wygj/backups/h5-20260714034906`（H5）和 `/opt/wygj/backups/release-20260714035418`（管理端 index/assets 与后端 jar）；静态包、后端服务和 H5 资源均已发布，后续发布仍必须保留备份、资源哈希和浏览器回归三项证据。
+- 发布后 hash 证据：管理端主 JS `index-CVcvQ1KE.js` 为 `a49ad7d3009ea64f37922cc042f09c1930557052e4fe20c11f8083222e0e4531`，后端 `ruoyi-admin.jar` 为 `3998f075a06f3a8014c270f66ad777606c7a04117233b7258e3326dbe516e211`，H5 主 JS 仍为 `56afec70ae0f404a3e4a2520b604ea797dc7c1f2a16ce558e6652cea246b45a9`；线上 `wygj-aihr.service` 为 active，`/prod-api/auth/tenant/list` 与 `/prod-api/api/aihr/mobile/home/user` 返回 200。
+- 生产浏览器回归：管理员可登录首页和 `/system/model`；页面可见“提示词模板”列表、新增模板入口和启停控件，说明本轮管理端 UI 已加载。当前验证使用生产 admin 测试账号和 Redis 验证码，不在文档记录账号或个人数据。
+- 2026-07-14 04:05 后续发布：移动端满意度采集、CSV 指标和后端接口已同步到生产；备份为 `/opt/wygj/backups/release-20260714040515`，H5 主 JS `index-5mNjsnek.js` 本地与线上 SHA-256 均为 `5c5af11be7b2b3ef7ceafd5b820fdd3e1326fcfc612b89c69b00dfe06635573c`，后端 jar SHA-256 为 `aa0bd917a2ab94ffd740ac709af2c59dd5bed6c8db995fa9aa1e80bcc4662c07`；生产浏览器实际完成训练、提交 1–5 分满意度并收到成功提示，随后已清理临时训练和派发数据。
+- 本次线上核对发现 schema 漂移：生产库已存在 `aihr_practice_session.satisfaction_score`、`satisfaction_comment`，但尚未显式创建 `aihr_practice_audio`。当前代码仍有运行时懒建表兜底，满意度链路不受影响；正式音频留痕试点前必须执行并核验显式迁移，不能依赖首次请求触发。

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

@@ -193,6 +193,40 @@
         <text>{{ result.mentorRewrite }}</text>
       </view>
     </view>
+
+    <view v-if="result" class="panel satisfaction-card employee-card">
+      <view class="satisfaction-head">
+        <text class="panel-title">本次训练体验如何？</text>
+        <text class="muted">帮助我们改进训练内容</text>
+      </view>
+      <view v-if="!satisfactionSubmitted" class="satisfaction-options">
+        <button
+          v-for="score in satisfactionOptions"
+          :key="score"
+          class="satisfaction-option"
+          :class="{ selected: satisfactionScore === score }"
+          @click="satisfactionScore = score"
+        >
+          {{ score }}
+        </button>
+      </view>
+      <textarea
+        v-if="!satisfactionSubmitted"
+        v-model="satisfactionComment"
+        class="textarea satisfaction-textarea"
+        maxlength="500"
+        placeholder="可选：写下你希望改进的地方"
+      />
+      <button
+        v-if="!satisfactionSubmitted"
+        class="primary-button small-button"
+        :disabled="satisfactionBusy || satisfactionScore === 0"
+        @click="sendSatisfaction"
+      >
+        {{ satisfactionBusy ? '提交中' : '提交体验反馈' }}
+      </button>
+      <text v-else class="satisfaction-thanks">感谢反馈，已记录本次训练体验。</text>
+    </view>
   </view>
 </template>
 
@@ -207,7 +241,7 @@ import type {
   PracticeTurn,
   PracticeRecord
 } from '@/types/api';
-import { answerDailyDrill, finishPractice, getPracticeAssignments, getPracticeHistory, getPracticePrepCard, startPractice, submitPracticeTurn } from '@/services/practice';
+import { answerDailyDrill, finishPractice, getPracticeAssignments, getPracticeHistory, getPracticePrepCard, startPractice, submitPracticeSatisfaction, submitPracticeTurn } from '@/services/practice';
 import { isLoggedIn, rememberLoginRedirect } from '@/services/auth';
 import { searchKnowledge } from '@/services/knowledge';
 import { resetPageScroll } from '@/services/navigation';
@@ -234,6 +268,11 @@ const draft = ref('');
 const message = ref('');
 const turns = ref<PracticeTurn[]>([]);
 const result = ref<PracticeFinishResponse | null>(null);
+const satisfactionOptions = [1, 2, 3, 4, 5];
+const satisfactionScore = ref(0);
+const satisfactionComment = ref('');
+const satisfactionBusy = ref(false);
+const satisfactionSubmitted = ref(false);
 const selectedScenarioId = ref(defaultScenarioId);
 const prepCard = ref<PracticePrepCard | null>(null);
 const prepLoading = ref(false);
@@ -324,6 +363,10 @@ const clearPracticeData = () => {
   prepLoading.value = false;
   turns.value = [];
   result.value = null;
+  satisfactionScore.value = 0;
+  satisfactionComment.value = '';
+  satisfactionBusy.value = false;
+  satisfactionSubmitted.value = false;
   sessionId.value = '';
   roundIndex.value = 0;
   draft.value = '';
@@ -591,6 +634,9 @@ const start = async (scenarioId = defaultScenarioId, assignmentId?: number) => {
   status.value = 'starting';
   message.value = '';
   result.value = null;
+  satisfactionScore.value = 0;
+  satisfactionComment.value = '';
+  satisfactionSubmitted.value = false;
   turns.value = [];
   draft.value = '';
   clearDraftAudio();
@@ -756,6 +802,20 @@ const finish = async (force = false) => {
   }
 };
 
+const sendSatisfaction = async () => {
+  if (!sessionId.value || satisfactionScore.value < 1 || satisfactionScore.value > 5 || satisfactionBusy.value) return;
+  satisfactionBusy.value = true;
+  message.value = '';
+  try {
+    await submitPracticeSatisfaction(sessionId.value, satisfactionScore.value, satisfactionComment.value.trim());
+    satisfactionSubmitted.value = true;
+  } catch (error) {
+    handleError(error, '体验反馈提交失败');
+  } finally {
+    satisfactionBusy.value = false;
+  }
+};
+
 const handleShow = async () => {
   resetPageScroll();
   refreshAuthState();
@@ -852,7 +912,8 @@ onShow(() => {
 .dialogue-card,
 .reply-card,
 .help-card,
-.result-card {
+.result-card,
+.satisfaction-card {
   display: flex;
   flex-direction: column;
   gap: 14px;
@@ -1285,6 +1346,45 @@ onShow(() => {
   font-weight: 900;
 }
 
+.satisfaction-head {
+  display: flex;
+  flex-direction: column;
+  gap: 5px;
+}
+
+.satisfaction-options {
+  display: flex;
+  gap: 8px;
+}
+
+.satisfaction-option {
+  flex: 1;
+  min-height: 40px;
+  padding: 0;
+  border: 1px solid #d8e1ef;
+  border-radius: 8px;
+  background: #ffffff;
+  color: #5a6270;
+  font-size: 15px;
+  font-weight: 800;
+}
+
+.satisfaction-option.selected {
+  border-color: #2f6bff;
+  background: #eef4ff;
+  color: #2f6bff;
+}
+
+.satisfaction-textarea {
+  min-height: 76px;
+}
+
+.satisfaction-thanks {
+  color: #168243;
+  font-size: 14px;
+  font-weight: 800;
+}
+
 /* 练页入口态：与员工端蓝白轻卡片体系保持一致 */
 .practice-page {
   padding: 0 16px 108px;

mobile-uni/src/services/practice.ts

@@ -73,6 +73,14 @@ export const finishPractice = (sessionId: string, assignmentId?: number) =>
     timeout: 45000
   });
 
+export const submitPracticeSatisfaction = (sessionId: string, score: number, comment = '') =>
+  apiRequest<{ sessionId: string; score: number; comment: string; submittedAt: string }>({
+    url: '/api/aihr/mobile/practice/satisfaction',
+    method: 'POST',
+    data: { sessionId, score, comment },
+    timeout: 15000
+  });
+
 export const getPracticeHistory = () => {
   const extPartyId = encodeURIComponent(currentExtPartyId());
   return apiRequest<PracticeRecord[]>({

scripts/demo-check.sh

@@ -80,7 +80,7 @@ check_pilot_samples() {
   [[ "$pilot_start" > "$pilot_end" ]] && fail "pilot start date must not be after end date"
 
   local scenario_count completed_people pilot_people org_active org_phone_linked org_pilot_people org_pilot_projects org_completed_people
-  local calibration_stats calibration_count calibration_matched sop_total sop_usable sop_pending
+  local calibration_stats calibration_count calibration_matched sop_total sop_usable sop_pending satisfaction_count satisfaction_average
   local org_identity_cte="
     WITH active_org AS (
       SELECT DISTINCT ext_party_id, project_code, person_phone
@@ -241,7 +241,9 @@ check_pilot_samples() {
   sop_total="$(pilot_sql_scalar "SELECT COUNT(*) FROM aihr_sop_answer_review WHERE tenant_id = '000000' AND status = '已评审' AND reviewed_time >= '${pilot_start} 00:00:00' AND reviewed_time < DATE_ADD('${pilot_end}', INTERVAL 1 DAY)")"
   sop_usable="$(pilot_sql_scalar "SELECT COALESCE(SUM(CASE WHEN usable = 1 THEN 1 ELSE 0 END), 0) FROM aihr_sop_answer_review WHERE tenant_id = '000000' AND status = '已评审' AND reviewed_time >= '${pilot_start} 00:00:00' AND reviewed_time < DATE_ADD('${pilot_end}', INTERVAL 1 DAY)")"
   sop_pending="$(pilot_sql_scalar "SELECT COUNT(*) FROM aihr_sop_answer_review WHERE tenant_id = '000000' AND status <> '已评审' AND create_time >= '${pilot_start} 00:00:00' AND create_time < DATE_ADD('${pilot_end}', INTERVAL 1 DAY)")"
-  echo "OK: pilot gates window=${pilot_start}..${pilot_end} scenarios=${scenario_count}/12 ten_sessions=${completed_people}/${pilot_people} org_login=${org_phone_linked}/${org_active} org_pilot=${org_pilot_people}/20 projects=${org_pilot_projects}/1-2 org_ten_sessions=${org_completed_people}/${org_pilot_people} calibration=${calibration_count}/20 consistency=${calibration_matched}/${calibration_count} sop_usable=${sop_usable}/${sop_total} sop_pending=${sop_pending}"
+  satisfaction_count="$(pilot_sql_scalar "SELECT COUNT(*) FROM aihr_practice_session s WHERE s.tenant_id = '000000' AND s.mode = 'mobile' AND s.finished_time >= '${pilot_start} 00:00:00' AND s.finished_time < DATE_ADD('${pilot_end}', INTERVAL 1 DAY) AND s.satisfaction_score IS NOT NULL AND EXISTS (SELECT 1 FROM aihr_org_snapshot o WHERE o.tenant_id = s.tenant_id AND o.employment_status = 'active' AND (o.ext_party_id = s.ext_party_id OR o.person_phone = s.ext_party_id))")"
+  satisfaction_average="$(pilot_sql_scalar "SELECT COALESCE(AVG(s.satisfaction_score), 0) FROM aihr_practice_session s WHERE s.tenant_id = '000000' AND s.mode = 'mobile' AND s.finished_time >= '${pilot_start} 00:00:00' AND s.finished_time < DATE_ADD('${pilot_end}', INTERVAL 1 DAY) AND s.satisfaction_score IS NOT NULL AND EXISTS (SELECT 1 FROM aihr_org_snapshot o WHERE o.tenant_id = s.tenant_id AND o.employment_status = 'active' AND (o.ext_party_id = s.ext_party_id OR o.person_phone = s.ext_party_id))")"
+  echo "OK: pilot gates window=${pilot_start}..${pilot_end} scenarios=${scenario_count}/12 ten_sessions=${completed_people}/${pilot_people} org_login=${org_phone_linked}/${org_active} org_pilot=${org_pilot_people}/20 projects=${org_pilot_projects}/1-2 org_ten_sessions=${org_completed_people}/${org_pilot_people} calibration=${calibration_count}/20 consistency=${calibration_matched}/${calibration_count} sop_usable=${sop_usable}/${sop_total} sop_pending=${sop_pending} satisfaction=${satisfaction_average}/5 responses=${satisfaction_count}"
 
   [[ "${AIHR_PILOT_STRICT:-false}" != "true" ]] || {
     (( scenario_count >= 12 )) || fail "pilot enabled scenarios ${scenario_count}/12"
@@ -253,6 +255,8 @@ check_pilot_samples() {
     (( calibration_matched * 100 >= calibration_count * 70 )) || fail "pilot AI/human band consistency below 70%"
     (( sop_total > 0 )) || fail "pilot SOP review samples missing"
     (( sop_usable * 100 >= sop_total * 80 )) || fail "pilot SOP usable rate below 80%"
+    (( satisfaction_count > 0 )) || fail "pilot satisfaction responses missing"
+    awk -v average="$satisfaction_average" 'BEGIN { exit !(average >= 4.0) }' || fail "pilot satisfaction average below 4/5"
   }
 }
 
@@ -361,6 +365,10 @@ contains mobile-uni/src/pages/user/practice/index.vue "loadHelp"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "turnEvidence"
 contains mobile-uni/src/pages/user/practice/index.vue "每日三题"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "pilot_metric_ready"
+contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/controller/AihrMobileController.java "/practice/satisfaction"
+contains backend/script/sql/aihr_practice_mysql8.sql "satisfaction_score"
+contains mobile-uni/src/services/practice.ts "/api/aihr/mobile/practice/satisfaction"
+contains mobile-uni/src/pages/user/practice/index.vue "本次训练体验如何"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrPracticeSeedService.java "incentive_point"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrModelSeedService.java "cost-guard-fallback"
 contains backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrSpeechService.java "Duration.ofSeconds(5)"