perf(management): message补无渠道前缀索引——修驾驶舱channel=all超时34s→1.3s

该回未回决赛圈点查(owner+talker定位末条消息)在channel=None时无渠道
前缀条件,现有索引全以channel打头用不上,服务器100万行实测dashboard
34~37s撞前端15s超时(ECONNABORTED);补(owner,talker,timestamp)索引
后实测1.3~1.8s。服务器已先行手工建索引止血,本迁移幂等兜底对齐。
模型+迁移双声明防autogenerate反DROP

docs/superpowers/plans/2026-09-08-management-batch-a-verification.md

@@ -241,3 +241,171 @@
 | 9 | 全量测试套件绿 | ✅ | **653 passed in 62s**（Task 8 本机实跑，2026-09-09） |
 | 10 | 核实文档完整 | ✅ | 本文补齐 |
 | 11 | 写钩子零改动 | ✅ | 批次A全部 17 个 commits（27f91e5→0fce21a）逐一核查，无一触碰 storage/summary.py、storage/repos.py（repos.py 最近一次改动 d428953 属 customer_account_link 工作线，先于批次A） |
+
+---
+
+# 批次B冒烟（Task B5，2026-09-09）
+
+经营管理后台六端点真机冒烟 + 性能初测。回测员工王云青 `369D257EEC9A4357935FDE19DDD99CAA`（#1 高负载+群运营），窗口 30 天 `20260810~20260908`。
+
+## 0. 环境与启动方式
+
+- **基线**：`pytest tests/ -q` → **721 passed in 60.9s**（批次B收尾后全绿）。
+- **后端启动**：docker 无 `yunke-backend/frontend-1` 容器；冒烟前 8000 端口空闲（连接拒绝，无常驻进程）。本任务自起：`yunke-server/.venv/Scripts/python.exe -m uvicorn app.api.main:app --port 8000`（无 `--reload`），`GET /api/health` → `{"status":"ok"}`；`openapi.json` 含 management 路由（grep 命中）确认新代码已加载。
+- **鉴权模式**：`.env` 中 `API_TOKEN=`（空值）→ 鉴权中间件 no-op，**免鉴权直接 curl**（无 Authorization 头）。
+- **进程处置**：uvicorn 留跑供用户查看，Git Bash PID **2423**（`kill 2423` 关闭；或任务管理器结束对应 python.exe）。
+
+## 1. 六端点结果（HTTP 码 × 耗时 × 大小）
+
+首次访问含冷启动（连接池/查询编译/InnoDB 冷缓存），dashboard 另测暖态三次：
+
+| 端点 | HTTP | 首次耗时 | 暖态耗时 | 大小 | 判定 |
+|---|---|---|---|---|---|
+| `/api/management/dashboard` | 200 | 12.03s | **2.92 / 2.39 / 2.18s** | 22,309B | ⚠️ 超 1.5s 目标（慢段定位见 §2） |
+| `/api/management/employees?page_size=50` | 200 | 0.34s | 0.30 / 0.31s | 58,865B | ✅ ≤1.5s |
+| `/api/management/employees/{王云青}` | 200 | 0.40s | — | 4,739B | ✅ |
+| `…/metrics?section=service` | 200 | 0.40s | — | 4,655B | ✅ |
+| `…/drilldown?metric_code=first_reply_p90` | 200 | 0.016s | — | 5,268B | ✅ |
+| `/api/management/metric-definitions` | 200 | 0.005s | — | 4,081B | ✅ |
+
+## 2. dashboard 慢段定位（分段实测，不做优化——决策归批次F）
+
+用 app 同一 session 复放 dashboard 组装流水线逐段计时（合计 2.685s ≈ 暖态端点耗时）：
+
+| 段 | 耗时 |
+|---|---|
+| load_score_config | 0.044s |
+| assemble_employees（评分+异常，2 窗聚合） | 0.262s |
+| wide_daily_rows / call_daily_rows | 0.007s / 0.002s |
+| service_daily_trend | 0.032s |
+| data_as_of | 0.009s |
+| **action_counts（unreplied+churn+sensitive）** | **2.328s** |
+
+action_counts 内部：`unreplied(hours=2)` **2.38s**；`churn(real,30d)` 0.12s；sensitive count 0.005s。unreplied 再拆：候选窗口函数查询（row_number over 67,116 行 friend 分区 → 3,123 候选）仅 **0.10~0.16s**；>500 候选走「仅本页决赛圈」分支无 N+1，但**单条尾部消息点查耗时 1.7~1.9s**。EXPLAIN 实证：`channel=None`（全平台）时无法使用 channel 打头的全部索引（`ix_message_channel_owner_talker_time(channel,owner,talker,timestamp)` 等），优化器退化到 `ix_message_room`（`room_id IS NULL/''`）→ **扫 378,202 行 + filesort**（message 表 96.4 万行）。
+
+优化方向（供批次F选择）：① 查询改写按渠道 UNION/`channel IN (…)` 绑定前缀走现有索引；② 补 `(owner_account_id, talker_id, timestamp)` 无 channel 前缀索引；③ dashboard 对 action_counts 做短 TTL 缓存。除 unreplied 外全链路 <0.5s，达标无压力。
+
+## 3. 合理性抽查
+
+- **employees 列表**：`total=41`/rows=41（=本文① staff 总数 ✓）。**王云青行与宽表 SQL 聚合逐字段全等**：msg_sent=111 / msg_recv=1003 / cust_threads=89 / threads_answered=57 / fr_sum_ms=698,140,844、days_with_data=29。数量级说明：「千级」预期对应全期全口径（全期 162,740 条消息/12,055 串，群聊为主）；本窗 friend 口径 recv=1003 千级 ✓，sent=111 为真实分布——同窗全口径 recv≈2.0 万（stat_daily_staff 实测） vs friend 1,003，差额几乎全是群消息；cust_threads=89 是串模型多日串折叠（本文 §3 已验证折叠比 57.4%）+本窗 friend 活动偏低。
+- **dashboard kpis**：active_employees=**40**（~40 ✓，=本文① stat 有数员工数）、active_customers=2,195、msg_total=42,422、cust_threads=9,330、answered=8,460、call 263/接通 113；lifecycle new/cooling/dormant/reactivated=231/1,432/3,353/145。**anomalies=28（critical 3 / warning 25）**，首条 `reply_p90_worsened` critical：P90 324.98min vs 基线期 18.06min（+1700%，样本 62、涉及 51 客户）。dimension_summary：risk/action 全 41 pending（批次C接线，符合预期），service scored 27/insufficient 4/pending 10、均分 56.0。趋势 30 点，末日 20260908 全零——数据止于 20260907（本文快照范围），边界正确。
+- **detail（王云青）**：`score.trial=true` ✓、grade=**E**（total=39，scored 非 insufficient）、dimensions：risk/action **pending** ✓（批次C）、service 47.8 / customer 0.0 / workload 100；含 accounts/prev/baseline/anomalies。
+- **metrics section=service**：数值与宽表窗聚合一致 + trend 30 点 ✓。
+- **drilldown first_reply_p90**：total=**57**=该员工账号窗内 fact 行数（=threads_answered ✓）。首行 fr_ms=**498,242,238ms≈5.8 天**——超「分钟~小时」预期，但与源表全等（fact MAX 同值）；窗内全库更极端值达 1,617,406,247ms≈18.7 天（thread_end 08-14 → reply 09-02，沉睡客户复活串），属真实数据形态非计算缺陷。该员工 p50=97,153ms（1.6min）/p90=1,651,758ms（27.5min）分钟级 ✓。极值是否 winsorize/封顶归批次F口径决策。
+- **metric-definitions**：19 项定义（msg_sent…call_followup_rate）+ score_config + caliber_notes，`config_source="db"`（评分配置 v1.0 种子生效 ✓）。
+
+**结论：六端点全 200、数据与库逐字段可对；唯一性能缺口=dashboard 的 unreplied 行动计数（channel 无前缀索引可用），暖态 2.2~2.9s，其余端点全部达标。**
+
+## 4. 批次B遗留观察项归档（终评补录，2026-09-09）
+
+| # | 项 | 归档 |
+|---|---|---|
+| 1 | call_band 样本基数：band 类指标样本量取 active_friends（规格字面），WA 通话量上来后"通话多客户少"员工会被误标 insufficient——当前数据零影响（实测 calls≥1 且 af<10 仅 5 人且 calls≤5，怎么选都不足）；归批次F回测前一行修正（sample_basis 字段或按源指标取样本） |
+| 2 | 配置源名唯一性：两个 code 指向同一源指标会使 employees comparisons 键静默覆盖——已在 validate_config 加源名唯一校验+测试（批次B终评闭环），默认配置六个源名互异不受影响 |
+| 3 | dashboard 性能（2.2~2.9s，unreplied channel=None 无前缀索引）与 fr_ms 天级极值 winsorize：见上文 §2/§3，决策归批次F |
+
+---
+
+# 批次D走查与验收（Task D4，2026-09-10）
+
+批次D收尾：员工总览（b72e957）+ 员工详情（5776175）+ 驾驶舱环比/异常跳员工闭环（422a726，前置接口/时间预设 ddeda3f）。Playwright 真机七步全链路走查 + v1 §19.1 员工子集与批次D验收清单逐项核对。环境：后端 uvicorn 8000（免鉴权）+ 前端 vite dev 5173，视口 **1366px**。
+
+## 0. 四门禁（全绿）
+
+| 门禁 | 结果 |
+|---|---|
+| 后端 `pytest tests/ -q` | **723 passed** in 65.29s |
+| 前端 `npm run build` | ✓ built in 1.03s（exit 0） |
+| 前端 `npm run test`（vitest） | Test Files 2 passed / **Tests 23 passed** |
+
+## 1. 七步动线走查记录（数字为真机实测，关键值已对 API 复核）
+
+**① 驾驶舱默认近30天（20260812~20260910）**：三 KPI 卡环比箭头 ✓（客户端自 prev_kpis 按 (cur-prev)/prev 计算，API 复核数值吻合）——全渠道：活跃客户 **1,992人 ↓12.6%**（prev 2,278）/ 活跃员工 **40人 →0.0%**（40/40）/ 消息量 **37,742条 ↓21.0%**（prev 47,749）；切微信：**979人 ↓25.3% / 40人 ↑2.6% / 27,949条 ↓29.6%**。方向与量级合理（等长紧邻前窗）。
+
+**② 异常卡员工名 → 员工详情**：点微信异常榜员工名链接（落点须为 a.el-link；整行点击触发行下钻抽屉，属预期交互）→ 落地 `/management/employees/18B5EE6B1AD94B15A5CD1CDABCECAB96?channel=wechat&start=…&end=…`（驾驶舱当前筛选 query 随行 ✓）。
+
+**③ 员工详情（朱晨曦，综合 21/E）**：五维条 **3 实 + 2 待数据**——合规风险/行动执行 pending 灰条占位，服务质量 0 分/客户经营 0 分/有效负载 100 分（API dimensions 逐项一致；行序随接口返回序，见遗留①）。四对比表（当前/上期/基线/中位）✓（cust_threads 62/114/107+中位）。服务质量页签双折线渲染（canvas 1074×300）→「查看超时明细」→ 首响P90 抽屉 **Total 11** → 点行进聊天：**17 条消息**，时间线与所点明细行吻合（客户 08-31 11:59:12 → 回复 17:24:11 ≈ 5小时24分）。
+
+**④ 客户经营页签**：返回列表再进 → section=customer →「沉睡客户名单」抽屉 **Total 89** ✓。
+
+**⑤ 员工总览对比**：勾选 2 人 → 对比抽屉并列两列指标 ✓（2-5 人为按钮启用门槛），关闭复原。
+
+**⑥ 排序+翻页+CSV（微信渠道）**：综合分降序（服务端 sort）——第 1 页 **55→21**（林峰 55 领头），第 2 页 **11 / 1 / 其余「--」**（18 人 insufficient_sample **空值排尾** ✓）。导出 CSV：**3 行口径前言**（口径/窗口+渠道/试算版本）**+ 表头 + 41 行数据**，toast「已导出 41 条」。
+
+**⑦ 控制台与持久化**：走查全程 console **0 errors**；修复遗留告警后（见 §3）全新加载 **0 warnings**。刷新保持 ✓——列表 view=service 刷新还原（Total 41）、详情返回后 section=service 还原。
+
+**附**：9 档时间预设逐一真机核验：今日 0910~0910 / 昨日 0909 / 近7 0904~0910 / 近30 0812~0910 / 本周 0907~0910（周一周首 ✓）/ 上周 0831~0906 / 本月 0901~0910 / 上月 0801~0831 / 自定义 0901~0907。1366px 驾驶舱与员工总览双页截图目检：KPI 3×2 网阵、双趋势图、表格列均无塌陷/无横向溢出。
+
+## 2. 验收清单核对
+
+**v1 §19.1 员工子集（6 项）**
+
+| # | 项 | 状态 | 依据 |
+|---|---|---|---|
+| 1 | 能查看所有员工多维状态 | ✅ | total=41（API=列表=CSV 行数三方一致）；四视图（管理概览/工作负载/服务质量/客户经营）切换正常 |
+| 2 | 任一分数可展开为指标/公式/样本/事实 | ✅ | 表头「?」→ 指标口径抽屉（19 项定义+公式+样本）；行/详情下钻按钮 → 事实明细 → 聊天原文（§1 ③） |
+| 3 | 四对比 | ✅ | 详情四对比表逐列可见（§1 ③：62/114/107/中位） |
+| 4 | 样本不足不评分 | ✅ | 18 人 insufficient_sample 综合分显「--」（§1 ⑥），CSV 同口径 |
+| 5 | 异常两次点击进事实 | ✅ | 异常卡员工名（第1击）→ 详情下钻按钮（第2击）→ 事实明细/聊天 |
+| 6 | 默认排序非总分/消息量榜 | ✅ | 默认 sort_by=anomaly_severity（异常严重度优先） |
+
+**批次D验收清单（5 项）**
+
+| # | 项 | 状态 | 依据 |
+|---|---|---|---|
+| 1 | 员工总览：41 人四视图/服务端排序分页/keyword/对比 2-5 人/CSV 含口径注释 | ✅ | §1 ⑤⑥；CSV 前言 3 行 |
+| 2 | 员工详情：五维条 3+2 占位/五页签懒加载/四对比/评分明细可展开/下钻进抽屉/账号跳聊天 | ✅ | §1 ③④；页签懒加载+loaded 缓存+section URL 还原 |
+| 3 | 驾驶舱：三 KPI 环比箭头/异常卡可跳员工详情 | ✅ | §1 ①②（闭环打通） |
+| 4 | 时间预设全套 9 档 | ✅ | §1 附 |
+| 5 | URL 全参数保持；四门禁绿；后端仅 dashboard 一处小改且测试补齐 | ✅ | §1 ⑦ + §0；后端改动=dashboard prev_kpis（D3，随测试提交） |
+
+## 3. 走查发现并修复（随本任务提交）
+
+| 问题 | 修复 |
+|---|---|
+| `AnomalyList.vue` 员工链接 `:underline="false"` 触发 Element Plus 废弃 API 告警——驾驶舱每次加载刷 **31 条** `[el-link] underline boolean deprecated`（异常榜每行一条） | 改 `underline="never"`（string API）；修复后全新加载 0 errors 0 warnings |
+
+## 4. 遗留观察项（不阻塞）
+
+| # | 项 | 归档 |
+|---|---|---|
+| 1 | 五维条行序随接口返回序 | 合规风险/行动执行（待数据）排在三实维之前——非固定语义序；批次E 接线 risk/action 后自然消解，如需固定序前端按 dim 顺序数组排即可 |
+| 2 | 走查任务字面 Step6 措辞偏差 | 「切视图服务质量→点综合分列排序」按字面不可执行（综合分列仅管理概览视图有）；实际动线=管理概览排序→切服务质量视图导出，已按实际动线完成走查 |
+| 3 | 空值显示 `-` 与 `--` 混用 | format.ts 的 formatMsDuration/formatRatio 按各自注释约定 null 显 `-`，员工总览本地数值/比率格式化显 `--`——同表跨列观感不一；纯观感项，批次E 顺手统一即可 |
+
+---
+
+# 批次F-调度接入验证（Task F3，2026-09-10）
+
+F1（`_analytics_tick` 段2 管理域滚动，0dc5993）/ F2（夜间链管理步，2ac63e3）已提交后，本地真机直调 tick 验证 + 本地 scheduler 镜像重建。方法：临时脚本（已删）按 tests/test_scheduler_analytics_tick.py 的构造方式 `SyncScheduler(engine=create_async_engine(get_settings().db_url), session_maker=...)`，不 start、只 `await scheduler._analytics_tick()`，对六个上游函数挂计时包装（与测试 monkeypatch 同一延迟 import 打点位），连跑两次。
+
+## 1. tick 两段实测（本地真机库，连跑两次）
+
+| 段 | 内容 | 第1次（冷） | 第2次（暖） |
+|---|---|---|---|
+| 总计 | `_analytics_tick` 全程 | **2.78s** | **0.74s** |
+| 段1 | recompute_days（staff 滚动3天） | 0.86s | 0.15s |
+| 段1 | scanner.run_incremental（敏感词增量） | 0.14s | 0.02s |
+| 段2 | pairs_active_in_days（fact 活跃对发现） | 0.04s | 0.02s |
+| 段2 | recompute_pairs（fact 重算） | 0.00s | 0.00s |
+| 段2 | recompute_metric_days（宽表滚动3天） | 1.51s | 0.52s |
+| 段2 | recompute_call_days（通话滚动3天） | 0.22s | 0.02s |
+
+（段值不含各自 session.commit；日志输出：`staff_days=0 scanned=10 hits=0` + `mgmt fact_pairs=0 wide_rows=168 call_rows=0`，两次一致。）
+
+- **远低于 <60s 预算**。本地镜像已停同步 7 天，滚动窗（0908~0910）内无消息/通话活动——`staff_days=0`、`fact_pairs=0`、`call_rows=0` 属停同步后的数据真空而非缺陷；`wide_rows=168`= 3 天 × 56 行/天（39 员工，wechat 38 + whatsapp 18 行/天，双渠道员工两行），宽表对零活跃员工照常出零值行。段2 主成本=宽表重算，随员工数×天数扩展而非会话数，服务器侧活跃会话数百的形态下同量级。
+- **幂等 ✓**：三表行数跑前 fact=68,476 / wide=12,371 / calls=1,163 → 第1次后 68,476 / **12,539** / 1,163 → 第2次后 68,476 / 12,539 / 1,163。wide 的 +168 为首跑补齐：0908~0910 三天行在表内原本不存在（本地夜间链停摆 7 天没写过），第1次 DELETE+INSERT 补齐后第2次行数纹丝不动——滚动窗语义下幂等成立。
+
+## 2. 本地 scheduler 容器重建（范围仅本地；服务器镜像 2026-09-09 已重建不碰）
+
+- `docker compose up -d --build scheduler`：镜像 `yunke-scheduler:latest`（`ded96dfc9625`，2026-09-10 构建）重建成功，容器 recreate + 起来。
+- 冒烟：`docker exec yunke-scheduler-1 python -c "import app.sync.scheduler"` → ok；容器日志确认 **4 个 job 全注册**——3×`_safe_page_run`（full/messages/full-history）+ **`SyncScheduler._analytics_tick`（F1 新 job 已进夜间/4h 链）**，"Scheduler started" 正常。
+- **调度状态**：验证完即 `docker stop`——重建前容器本就 Exited 7 天（本地不跑调度，避免与服务器调度器双跑同刷云客触发风控），维持 stopped 现状；容器已绑新镜像，用户随时 `docker compose start scheduler` 即以新代码上线。mysql/redis 未动。
+
+## 3. 已知边界（归档）
+
+| # | 项 | 说明 |
+|---|---|---|
+| 1 | phone_call 未进页面同步链 | 通话小表（employee_call_daily）暂从既有静态源重生成——本地 call_rows=0 即此边界的体现；审计 P0-5 由并行会话领地，不在此处理 |
+| 2 | 补同步历史日期 | tick 只滚动当日+前2天；更早日期的修正由夜间全量（full_sync 汇总/管理步）覆盖语义兜底 |
+| 3 | 本地数据真空 | 本地镜像停摆 7 天，0908~0910 无消息/通话——fact/敏感词扫描的真实活跃量级须在服务器侧（夜间链已跑）观察 |

docs/superpowers/plans/2026-09-09-management-console-batch-b-api-plan.md

@@ -190,7 +190,7 @@ DEFAULT_SCORE_CONFIG: dict = {
         "workload": {"weight": 15, "name": "有效负载", "metrics": {
             "active_friends_band": {"type": "band", "metric": "active_friends",
                                     "low": 5, "high": 80,
-                                    "basis": "period_daily_avg"},
+                                    "basis": "period_distinct"},
             "call_band": {"type": "band", "metric": "call_count",
                           "low": 1, "high": 200, "basis": "period_total",
                           "note": "通话低不扣分仅提示;band 得分下限 80"},
@@ -452,7 +452,7 @@ def score_employee(config, current: PeriodMetrics, baseline: PeriodMetrics | Non
 ```
 
 规则（写死进测试）：
-- 周期值派生：`reply_2h_rate = reply_2h_count/cust_threads`（threads=0 → None）；`fr_p90_ms` 直取；`active_share` **分子=期末该渠道最近一行(≤end)的 active_friends，分母=同一行的 active_friends+cooling_customer+dormant_customer**（分母 0 → None；宽表无生命周期 active 存量列，active 以 active_friends 列充当）；band 用 active_friends 日均与 call_count 总量。
+- 周期值派生：`reply_2h_rate = reply_2h_count/cust_threads`（threads=0 → None）；`fr_p90_ms` 直取；`active_share` **分子=期末该渠道最近一行(≤end)的 active_friends，分母=同一行的 active_friends+cooling_customer+dormant_customer**（分母 0 → None；宽表无生命周期 active 存量列，active 以 active_friends 列充当）；band 用 active_friends 周期 distinct（B2 决议:抗单日噪声,与 B1 口径一致）与 call_count 总量。
 - 样本保护：`cust_threads < min_threads(30)` → 该 service/customer 指标 sample_status="insufficient"，不评分；soft(10)~min 之间 "low_confidence"（评分但标注）。
 - 维度分 = 各指标得分的均值（等权）；任一指标 None 时该指标剔除并按剩余归一；**全部 None → 维度 pending**。
 - 总分 = Σ(可用维度 weight×dim_score)/Σ(可用维度 weight)×100；可用=pending_data 以外且维度分非 None；全 None → score_status="insufficient_sample"（total None）。
@@ -478,7 +478,7 @@ def score_employee(config, current: PeriodMetrics, baseline: PeriodMetrics | Non
 | reply_p90_worsened | p90 > 基线p90×1.5 且样本≥soft；×2.5 升 critical | warning/critical | metric_code=first_reply_p90 |
 | reply_rate_dropped | reply_2h_rate < 基线×0.7 且当前≥soft 样本 | warning | metric_code=unreplied |
 | activity_drop | 日均 msg_total < 基线日均×0.5 且基线≥min_days | warning | 员工详情 |
-| workload_overload | active_friends 日均 > 80（band 上限） | warning | 员工详情 |
+| workload_overload | active_friends 周期 distinct > band 上限 80 | warning | 员工详情 |
 
 卡片字段照 v1 §5.4 JSON（rule_code/severity/employee_user_id/title/current_value/baseline_value/unit/sample_size/**affected_count**/reason[纯数据事实]/drilldown/suggested_action——文案固定模板，不用 LLM）。`affected_count` 按规则定义：reply_p90_worsened 与 reply_rate_dropped=期内未回串数（cust_threads−threads_answered）；activity_drop=当前期活跃客户数；workload_overload=active_friends 日均。
 

docs/superpowers/plans/2026-09-09-management-console-batch-c-frontend-plan.md

@@ -0,0 +1,305 @@
+# 云客经营管理后台·批次C（前端导航+管理驾驶舱）实施计划
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** 交付经营管理后台的第一个可视化页面——管理驾驶舱（`/management/dashboard`）+「经营管理」导航分组；管理者 5 分钟看整体、异常两次点击进事实。
+
+**Architecture:** 前端纯增量：`api/management.ts`（六端点 typed client，契约=批次B终评冻结面）+ `composables/useManagementFilters.ts`（URL query 为真源）+ `components/management/` 六个组件 + `ManagementDashboardView.vue`。复用 useChart/api client/format utils/seq 守卫惯例；不引新 UI 框架、不引雷达图（维度分布用条形图）。依据 [v2 计划](./2026-09-08-yunke-management-console-implementation-v2.md) §4/§5/§7/§13 与批次B契约清单；员工总览/详情页是批次D。
+
+**Tech Stack:** Vue3 + TS + Element Plus + ECharts（useChart 按需已有 Line/Bar）+ vitest（若仓库已配）。
+
+---
+
+## 执行者必读
+
+1. **后端就绪**（本地 8000 已跑或按 DEPLOY 起）：六端点见 `/tmp` 之外的真实路径 `/api/management/*`；**契约以批次B终评清单为准**（None≠0；`scope.channel` 回显原值；drilldown 白名单六值；异常卡片 12 字段；`config_source=db`）。
+2. **前端惯例**：路由扁平 + `meta.title` + 登录守卫（public 才放行）；API 走 `getJson/requestJson`（client.ts 已带 Bearer+baseURL=/api）；图表用 `useChart`（容器稳定，不 v-if）；请求序号 seq 守卫防旧响应覆盖（DashboardView 现有模式照抄）；格式化放 `utils/format.ts` 不重复实现；el-select 空串 value 显示英文占位用 `'all'` 哨兵。
+3. **不做**：员工总览/详情页、辅导、快照（D/E 批次）；`/analytics/dashboard` 不重定向（并存过渡）；二期菜单不渲染不放空页。
+4. **验收基准**：v2 §5——5 分钟判总体；异常两次点击到事实；全部卡片显示数据截至与对比窗口；`npm run build` 过。
+5. 仓库有并行会话活动——`git status` 后只 add 自己文件；提交中文 conventional；master 直提。
+
+## 文件地图
+
+| 文件 | 职责 | 动作 |
+|---|---|---|
+| `yunkes/src/api/management.ts` | 六端点 typed client | 新建 |
+| `yunkes/src/composables/useManagementFilters.ts` | URL query ↔ 筛选（channel/start/end/compare + 预设窗） | 新建 |
+| `yunkes/src/components/management/DataAsOfBadge.vue` | 数据截至/版本/试算角标 | 新建 |
+| `yunkes/src/components/management/ManagementKpiCard.vue` | KPI 卡（主值+辅助+点击跳转） | 新建 |
+| `yunkes/src/components/management/ManagementFilterBar.vue` | 筛选栏（渠道/时间预设/自定义/口径入口按钮） | 新建 |
+| `yunkes/src/components/management/AnomalyList.vue` | 异常榜（severity 标签+数字+下钻事件） | 新建 |
+| `yunkes/src/components/management/MetricDrilldownDrawer.vue` | 下钻抽屉（drilldown 端点行清单+聊天跳转） | 新建 |
+| `yunkes/src/components/management/MetricDefsDrawer.vue` | 指标口径抽屉（metric-definitions 渲染） | 新建 |
+| `yunkes/src/views/management/ManagementDashboardView.vue` | 驾驶舱页 | 新建 |
+| `yunkes/src/router/index.ts` | /management/dashboard 路由 | 修改 |
+| `yunkes/src/layouts/MainLayout.vue` | 「经营管理」分组 | 修改 |
+
+---
+
+### Task C0: 后端契约补全——drilldown 行补 channel 字段
+
+**Files:** Modify `yunke-server/app/management/api_assembly.py` + `yunke-server/tests/test_management_api.py`
+
+批次B已提交但未部署，前端冻结前补齐（评审发现：fr_fact_rows/lifecycle_customers 的行无 channel 键，前端 channel=all 时 WA 行会跳错聊天路由）：
+1. `fr_fact_rows` 每行加 `channel`（SELECT 已有该列，透传即可）；
+2. `lifecycle_customers` 每行加 `channel`（c.channel 透传）；
+3. 测试断言补两行（drilldown p90 与 cooling/dormant 的响应行含 channel）。
+- [ ] `cd yunke-server && .venv/Scripts/python.exe -m pytest tests/test_management_api.py -q`（23 passed）+ 全量 -q
+- [ ] commit `fix(management): drilldown行补channel字段——前端聊天路由判渠道用(契约冻结前补齐)`
+
+### Task C1: api/management.ts（typed client）
+
+**Files:** Create `yunkes/src/api/management.ts`
+
+完整代码（契约=批次B as-built；先对照后端 router 响应键核对再落笔）：
+
+```typescript
+// 经营管理板块 API(批次C)。契约以批次B终评冻结面为准:
+// None≠0(无样本分位/率=null);scope.channel 回显原值;drilldown 白名单六值。
+import { getJson } from './client'
+import type { Channel } from './types'
+
+export type MgmtChannel = 'all' | Channel
+export type CompareMode = 'previous' | 'personal_baseline' | 'team_median'
+export type DrilldownCode =
+  | 'first_reply_p90' | 'first_reply_p50' | 'unreplied'
+  | 'cooling_customers' | 'dormant_customers' | 'call_followup'
+
+export interface MgmtScope { channel: MgmtChannel; start: number; end: number; compare?: CompareMode; view?: string; user_id?: string; metric_code?: string }
+export interface Kpis {
+  active_customers: number; active_employees: number
+  msg_total: number; cust_threads: number; threads_answered: number
+  call_count: number; call_seconds: number; answered_call: number
+  lifecycle: { new: number; cooling: number; dormant: number; reactivated: number }
+}
+export interface CommTrendPoint { day: number; msg_total: number; active_customers: number; call_cnt: number }
+export interface SvcTrendPoint { day: number; fr_p50_ms: number | null; fr_p90_ms: number | null; reply_2h_rate: number | null }
+export interface DimSummary { [dim: string]: { name: string; weight: number; scored_count: number; pending_count: number; insufficient_count: number; avg_score: number | null } }
+export interface AnomalyCard {
+  rule_code: string; severity: 'critical' | 'warning'; employee_user_id: string
+  title: string; current_value: number; baseline_value: number | null; unit: string
+  sample_size: number; affected_count: number; reason: string
+  drilldown: { type: string; query: { metric_code?: string; user_id?: string } }
+  suggested_action: string
+}
+export interface DashboardResp {
+  scope: MgmtScope; data_as_of: number | null; metric_version: string; config_source: 'db' | 'default'
+  kpis: Kpis
+  communication_trend: CommTrendPoint[]
+  service_trend: SvcTrendPoint[]
+  lifecycle: Kpis['lifecycle']
+  dimension_summary: DimSummary
+  anomalies: AnomalyCard[]
+  action_summary: { unreplied_2h: number; churn_real_30d: number; sensitive_pending: number }
+}
+export interface EmployeeRow {
+  user_id: string; name: string | null; is_on_job: boolean | null
+  metrics: Record<string, number | null>
+  comparisons: Record<string, { current: number | null; prev: number | null; baseline: number | null; median: number | null }>
+  score: { total_score: number | null; grade: string | null; score_status: string; trial: boolean; dimensions: Record<string, { score: number | null; status: string }> }
+  anomaly_count: number; anomaly_weight: number
+}
+export interface EmployeesResp { total: number; page: number; page_size: number; rows: EmployeeRow[]; scope: MgmtScope; data_as_of: number | null; metric_version: string; config_source: 'db' | 'default' }
+export interface FactDrillRow { day: number; channel: string; owner_account_id: string; peer_id: string; thread_end_ts: number; reply_ts: number; fr_ms: number }
+export interface LifecycleDrillRow { friend_id: string; channel: string; nickname: string | null; last_day: number; state: string }
+export interface CallDrillRow { call_id: string; channel: string; call_number: string | null; start_call_time: number; call_duration: number }
+export interface DrilldownResp { total: number; items: Record<string, unknown>[]; note?: string; truncated?: boolean; summary?: Record<string, number> }
+export interface MetricDefsResp {
+  definitions: Record<string, { name: string; unit: string; direction: number; caliber?: string; formula?: string }>
+  score_config: { version: string; name: string; trial: boolean; normalization: string; sample_guards: Record<string, number>; grade_bounds: Record<string, number>; dimensions: Record<string, { name: string; weight: number; status?: string }> }
+  caliber_notes: string
+  config_source: 'db' | 'default'
+}
+
+export const getDashboard = (channel: MgmtChannel, start: number, end: number, compare: CompareMode = 'previous') =>
+  getJson<DashboardResp>('/management/dashboard', { channel, start, end, compare })
+export const getEmployees = (params: Record<string, unknown>) =>
+  getJson<EmployeesResp>('/management/employees', params)
+export const getEmployeeDrilldown = (userId: string, metricCode: DrilldownCode, start: number, end: number, channel: MgmtChannel, page = 1, pageSize = 20) =>
+  getJson<DrilldownResp>(`/management/employees/${userId}/drilldown`, { metric_code: metricCode, start, end, channel, page, page_size: pageSize })
+export const getMetricDefs = () => getJson<MetricDefsResp>('/management/metric-definitions')
+```
+
+（员工详情/sections 两个端点的 client 函数批次D 再加——本期页面不消费，YAGNI；本期 client 为四函数。）
+
+- [ ] 步骤：写文件 → `cd yunkes && npx vue-tsc --noEmit`（或 build）类型过 → 后端（8000，dev 5173 的 /api 代理已指向它）冒烟一次 getDashboard 类型与真实响应吻合（console 对比关键字段）→ commit `feat(management): 前端API client——管理端点typed契约(批次B冻结面)`
+
+### Task C2: useManagementFilters composable
+
+**Files:** Create `yunkes/src/composables/useManagementFilters.ts`（+ vitest 若仓库已配测试脚本，先 `grep '"test"' yunkes/package.json` 确认）
+
+完整代码：
+
+```typescript
+// 管理页统一筛选(URL query 为真源——刷新/分享保持)。批次C:驾驶舱用;
+// 批次D 员工页复用(view 等额外参数由页面自行挂 query)。
+import { computed, watch } from 'vue'
+import { useRoute, useRouter } from 'vue-router'
+
+export type Preset = 'last7' | 'last30' | 'thisMonth' | 'lastMonth' | 'custom'
+export const CHANNELS = [
+  { value: 'all', label: '全部渠道' },
+  { value: 'wechat', label: '微信' },
+  { value: 'whatsapp', label: 'WhatsApp' },
+] as const
+
+function ymd(d: Date): number { return d.getFullYear() * 10000 + (d.getMonth() + 1) * 100 + d.getDate() }
+function addDays(d: Date, n: number): Date { const x = new Date(d); x.setDate(x.getDate() + n); return x }
+
+/** 预设 → [start,end] yyyymmdd(上海自然日由本地时区近似——与后端一致的公历日)。 */
+export function presetRange(p: Preset, today = new Date()): { start: number; end: number } {
+  const t0 = new Date(today.getFullYear(), today.getMonth(), today.getDate())
+  switch (p) {
+    case 'last7': return { start: ymd(addDays(t0, -6)), end: ymd(t0) }
+    case 'last30': return { start: ymd(addDays(t0, -29)), end: ymd(t0) }
+    case 'thisMonth': return { start: ymd(new Date(t0.getFullYear(), t0.getMonth(), 1)), end: ymd(t0) }
+    case 'lastMonth': {
+      const first = new Date(t0.getFullYear(), t0.getMonth() - 1, 1)
+      const last = new Date(t0.getFullYear(), t0.getMonth(), 0)
+      return { start: ymd(first), end: ymd(last) }
+    }
+  }
+  // custom 由调用方直传
+  return { start: ymd(t0), end: ymd(t0) }
+}
+
+export function useManagementFilters() {
+  const route = useRoute()
+  const router = useRouter()
+
+  const channel = computed<'all' | 'wechat' | 'whatsapp'>(() => {
+    const v = route.query.channel
+    return v === 'wechat' || v === 'whatsapp' ? v : 'all'
+  })
+  const start = computed(() => {
+    const v = Number(route.query.start)
+    return Number.isFinite(v) && v >= 20000101 ? v : presetRange('last30').start
+  })
+  const end = computed(() => {
+    const v = Number(route.query.end)
+    return Number.isFinite(v) && v >= 20000101 ? v : presetRange('last30').end
+  })
+  const compare = computed(() => {
+    const v = route.query.compare
+    return v === 'personal_baseline' || v === 'team_median' ? v : 'previous'
+  })
+
+  function apply(patch: Record<string, string | number | undefined>) {
+    const q: Record<string, string> = {}
+    for (const [k, v] of Object.entries({ ...route.query, ...patch })) {
+      if (v !== undefined && v !== null && v !== '') q[k] = String(v)
+    }
+    router.replace({ query: q })
+  }
+
+  // 预设切换:清掉 start/end 让默认值生效,custom 则带具体日期
+  function applyPreset(p: Preset, custom?: { start: number; end: number }) {
+    if (p === 'custom' && custom) apply({ start: custom.start, end: custom.end })
+    else apply({ start: undefined, end: undefined })
+  }
+
+  return { channel, start, end, compare, apply, applyPreset, presetRange }
+}
+```
+
+- [ ] vitest（若已配）：presetRange 五预设的日期算术（含月末/跨月）+ query 缺省回退 last30 + apply 写回 query。未配则手测并在报告注明。
+- [ ] commit `feat(management): useManagementFilters——URL query 真源/预设窗/渠道哨兵`
+
+### Task C3: 六个基础组件
+
+**Files:** Create `components/management/` 下六件。规格（完整 SFC 代码进实施，要点钉死）：
+
+1. **DataAsOfBadge**：props `{ dataAsOf: number | null; metricVersion?: string; trial?: boolean; configSource?: string }`；渲染 el-tag 组：数据截至（`data_as_of` ms→`YYYY-MM-DD HH:mm`，null 显示「无数据」灰 tag）+ 指标版本 + 试算（warning 色，trial=true 才显示）。格式化用 utils/format.ts 现有函数，无则组件内小 helper。
+2. **ManagementKpiCard**：props `{ label: string; value: number | null; unit?: string; hint?: string; to?: string }`；主值大字（null 显示 `--`），hint 小字，有 to 则整卡 clickable `router.push`。不做趋势箭头（对比值批次D 表格里呈现）。
+3. **ManagementFilterBar**：props modelValue 透传 filters composable 的值 + `@apply`；内容：el-radio-group 渠道（CHANNELS）+ el-select 预设（四预设+自定义）+ 自定义时 el-date-picker type=daterange（value-format YYYYMMDD 字符串转 number）+「指标口径」文字按钮（emit open-defs）+ 插槽放 DataAsOfBadge。改即 apply（防抖 300ms 不需要——change 事件天然低频）。
+4. **AnomalyList**：props `{ anomalies: AnomalyCard[] }`；el-table 或列表卡片：severity（critical=红 danger tag「严重」/warning=橙 warning tag「关注」）、title、current vs baseline（unit 感知格式化：ms→时长/0-1→%/其他千分位）、sample_size、affected_count、suggested_action（灰小字）；行 click → emit `drill(card)`。空态「暂无异常」。
+5. **MetricDrilldownDrawer**：props `{ userId: string; card: AnomalyCard | null; start: number; end: number; channel: MgmtChannel }`（v-model:visible）；打开时按 card.drilldown.query.metric_code 调 getEmployeeDrilldown：
+   - `first_reply_p90/p50` → 表格：客户(peer_id)/串末条时间/回复时间/首响时长（fr_ms 降序已由后端）；行点击跳聊天：`/staff-chat/{owner_account_id}/single/{peer_id}`（channel=whatsapp 时 `/chat/whatsapp/{owner}/{peer}`）。
+   - `unreplied` → 表格 peer/等待时长/预览；note/truncated 提示。
+   - `cooling/dormant_customers` → 表格 客户/最后互动日/状态；行点击跳该客户聊天（同上映射）。
+   - `call_followup` → 表格 通话（时间/号码/时长）+ summary 卡。
+   分页 el-pagination（后端分页）；员工姓名/标题显示 card.employee_user_id 对应名字由父传（dashboard anomalies 无 name——显示 user_id 短版即可，批次D 带名字）。
+6. **MetricDefsDrawer**：v-model:visible；打开调 getMetricDefs；el-collapse 按 维度/单指标 两组渲染：每指标 name+unit+direction（越大越好/越小越好）+formula+caliber；顶部 score_config 摘要（版本/试算标记/样本门槛/各维度权重与 pending 状态）+ caliber_notes 段落。
+
+- [ ] 步骤：六组件逐个写 + vue-tsc 过 → 冒烟渲染（C5 页面里真用）→ commit `feat(management): 驾驶舱六组件——KPI卡/筛选栏/异常榜/下钻抽屉/口径抽屉/数据截至角标`
+
+### Task C4: 路由 + 导航
+
+- router/index.ts 在 analytics 四页之后加：
+
+```typescript
+  {
+    // 经营管理板块(批次C):驾驶舱;员工分析/考核快照批次D/E再加
+    path: '/management/dashboard',
+    name: 'management-dashboard',
+    component: () => import('@/views/management/ManagementDashboardView.vue'),
+    meta: { title: '管理驾驶舱' },
+  },
+```
+
+- MainLayout「数据分析」el-sub-menu 之前加「经营管理」分组（单项：管理驾驶舱 → goPlain('/management/dashboard')）——分组在最上（管理优先级高于查看）。
+- 验证：登录态点菜单进页面、刷新保持、activeMenu 高亮正确。
+
+- [ ] commit `feat(management): 经营管理导航分组+驾驶舱路由`
+
+### Task C5: ManagementDashboardView
+
+**Files:** Create `yunkes/src/views/management/ManagementDashboardView.vue`
+
+结构（完整 SFC 进实施，要点钉死）：
+
+```text
+<ManagementFilterBar>（含 DataAsOfBadge + 口径按钮）
+六个 KPI 卡（el-row/gutter，1366px 两行三卡）:
+  活跃客户(kpis.active_customers,hint=串/被回)→无跳转(批次D员工页)
+  活跃员工(kpis.active_employees,hint=期内有数据天数>0 口径)
+  消息量(msg_total,hint=1:1口径·与数据看板口径不同)
+  待回复(action_summary.unreplied_2h,红点>0)→/analytics/unreplied
+  即将流失(action_summary.churn_real_30d)→/analytics/churn
+  风险待处理(action_summary.sensitive_pending)→/analytics/sensitive
+双图表(el-row 两列,useChart×2):
+  客户沟通趋势:Line msg_total + Bar call_cnt 双 y 轴(x=day)
+  服务质量趋势:双 y 轴——左轴 ms(Line fr_p50_ms/fr_p90_ms,tooltip 时长格式化)、
+  右轴 0-1(Line reply_2h_rate,%)——不注明双轴则率线贴底
+  ——图内空数据/None 点处理:reply_2h_rate null 断点(connectNulls=false)
+双条形图(el-row 两列):
+  生命周期分布:Bar new/cooling/dormant/reactivated 四类
+  员工维度分布:Bar dimension_summary 三维 avg_score(0-100)+pending 数 tooltip
+异常榜(AnomalyList @drill → MetricDrilldownDrawer)
+seq 守卫:filters 变化 → seq++ → 请求 → 回来校验 seq 才渲染(照 DashboardView 模式)
+loading:el-skeleton 首屏;错误:el-alert + 重试按钮(保留上次数据)
+```
+
+要点：
+- `watch([channel, start, end, compare], load)`；`onMounted(load)`；
+- day 轴 `20260810`→`08-10` 短格式；
+- **共享格式化**：把 DashboardView 里的 `fmtFr`(ms→时长)/`fmtPct`(0-1→%) 提升为 `utils/format.ts` 的 `formatMsDuration`/`formatRatio`（AnomalyList/抽屉/图表 tooltip 三处消费，不复制第三份）；
+- 异常榜点卡片 → drawer（metric_code 白名单外 type=employee 的卡片——activity_drop/overload 无 drilldown 端点，drawer 显示「员工分析批次D上线」占位说明——**两类 drilldown.type=employee 的卡片点击行为：显示 el-empty 占位**）；
+- 试算角标常显（config_source 透传）。
+
+- [ ] 步骤：写页面 → `npm run build` 过 → 本地前后端真机走查（起 8000 后端 + `npm run dev` 5173，Playwright 或手动）：六卡有数、双图渲染、异常卡点开抽屉、抽屉行跳聊天、口径抽屉渲染、刷新 URL 保持、1366px 布局不塌 → commit `feat(management): 管理驾驶舱页——KPI/双趋势/生命周期/维度分布/异常两次点击到事实`
+
+### Task C6: 收尾验收
+
+- [ ] `cd yunkes && npm run build`（0 error）；
+- [ ] `npm run test --silent`（若配了 vitest）或记录未配；
+- [ ] 验收清单核对（v2 §5.3/§19.1 驾驶舱子集）：5 分钟判总体 ✓/异常两次点击进事实 ✓/口径入口 ✓/数据截至+对比窗口显示 ✓/渠道筛选 ✓/URL 保持 ✓/试算标记 ✓/空态与错误态 ✓；
+- [ ] 全量后端测试仍绿（前端不动后端，确认无意外）；
+- [ ] commit（若剩零散修正）。
+
+---
+
+## 批次C验收清单
+
+- [ ] 「经营管理」分组出现且仅含管理驾驶舱；
+- [ ] 六 KPI 卡数字与后端响应一致（抽查待回复/风险与 analytics 页对得上）；
+- [ ] 双趋势图渲染 30 点、None 断点正确；
+- [ ] 异常卡 critical 红标在前；点击 metric 类卡片→抽屉→行→聊天定位（两次点击到事实）；
+- [ ] employee 类异常卡占位不报错；
+- [ ] 口径抽屉含试算标记与三方口径差异说明；
+- [ ] URL query 刷新/分享保持筛选；
+- [ ] `npm run build` 过；后端 722 测试不受影响。
+
+## 批次D-F
+
+D：员工总览+详情页（消费 employees/detail/sections 端点+指标解释抽屉）；E：辅导闭环+考核快照（写端点）；F：调度接入+dashboard 性能修复（unreplied 索引）+部署上线。

docs/superpowers/plans/2026-09-10-management-console-batch-d-employees-plan.md

@@ -0,0 +1,172 @@
+# 云客经营管理后台·批次D（员工总览+员工详情）实施计划
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** 补上管理闭环最大断点——员工总览（41 人多维一张表）与员工详情（五维/页签/四对比/事实下钻），打通「异常→员工全景→事实」链路；附带驾驶舱 KPI 环比与时间预设补全（体验级小项）。
+
+**Architecture:** 纯前端为主（消费批次B已就绪的 employees/detail/metrics sections/drilldown 端点）+ 两处小后端增强（dashboard kpis 加 prev 块；无新端点）。新页 `EmployeeAnalyticsView`/`EmployeeAnalyticsDetailView` + 对比抽屉；复用 C3 六组件（FilterBar/DataAsOfBadge/AnomalyList/MetricDrilldownDrawer/MetricDefsDrawer）与 useManagementFilters。依据 [v2 计划](./2026-09-08-yunke-management-console-implementation-v2.md) §6/§7/§13 + 批次B契约清单。
+
+**Tech Stack:** 同批次C（Vue3+TS+Element Plus+useChart+vitest）；后端 FastAPI 小改。
+
+---
+
+## 执行者必读
+
+1. **消费的端点 as-built 形态**（写 client 前已核对 management.py:321-443）：
+   - `GET /employees`（行结构见批次C client 的 EmployeeRow——已含 metrics/comparisons/score 摘要/anomaly_count/weight）；
+   - `GET /employees/{id}`：`{user_id,name,is_on_job,accounts[{channel,account_id,nick_name,user_name}],metrics(22字段dict 含 user_id 键),score{total_score,grade,score_status,trial,dimensions{name,weight,score,status,metrics{code:{value,score,sample_size,sample_status,formula_note}}},metrics_detail{code:{value,prev,baseline,median,sample_size,sample_status,score,unit,name}}},anomalies[],prev(dict|null),baseline(dict|null),scope,data_as_of,metric_version,config_source}`；
+   - `GET /employees/{id}/metrics?section=`：`{section,metrics(该域字段dict),trend[{day,cols...}](无数据日计数0/分位None),comparisons(源指标名键),scope,data_as_of,metric_version}`；
+   - drilldown/metric-definitions 已有 client。
+2. **前端惯例**同批次C必读（seq 守卫/useChart/URL query/csvExport.ts 全量翻页+中文 BOM/命名路由跳转）。
+3. **不做**：辅导/快照（E）；员工对比不新开 API（勾选 2-5 行客户端拼数据）；「指标解释抽屉」= 复用 MetricDefsDrawer（点击列头 ? 图标打开）——不做每指标单独解释面板（v1 §6.5 的完整版二期）。
+4. 仓库并行会话照旧；中文 conventional 提交；master 直提。
+
+## 文件地图
+
+| 文件 | 动作 |
+|---|---|
+| `yunkes/src/api/management.ts` | 补 getEmployeeDetail/getEmployeeMetrics + types（D0） |
+| `yunkes/src/composables/useManagementFilters.ts` | 预设补 今日/昨日/本周/上周（D0） |
+| `yunkes/src/views/management/EmployeeAnalyticsView.vue` | 新建（D1） |
+| `yunkes/src/components/management/EmployeeCompareDrawer.vue` | 新建（D1，对比抽屉） |
+| `yunkes/src/views/management/EmployeeAnalyticsDetailView.vue` | 新建（D2） |
+| `yunkes/src/router/index.ts` + `MainLayout.vue` | 两路由+两菜单（D1/D2 各自） |
+| `yunke-server/app/api/routers/management.py` + `api_assembly.py` | dashboard kpis 加 prev 块（D3） |
+| `yunkes/src/components/management/ManagementKpiCard.vue` + `AnomalyList.vue` + 驾驶舱页 | delta 显示 + 员工跳详情（D3） |
+
+---
+
+### Task D0: client 补全 + 预设扩展
+
+- [ ] `api/management.ts` 追加：
+
+```typescript
+export interface EmployeeAccount { channel: string; account_id: string; nick_name: string | null; user_name: string | null }
+export interface ScoreMetricDetail { value: number | null; prev: number | null; baseline: number | null; median: number | null; sample_size: number; sample_status: string; score: number | null; unit: string; name: string }
+// formula_note 在 dimensions[dim].metrics[code] 上（scoring.py 维度级明细），不在 metrics_detail
+export interface EmployeeDetailResp {
+  user_id: string; name: string | null; is_on_job: boolean | null
+  accounts: EmployeeAccount[]
+  metrics: Record<string, number | string | null>
+  score: {
+    total_score: number | null; grade: string | null; score_status: string; trial: boolean
+    dimensions: Record<string, { name: string; weight: number; score: number | null; status: string; metrics?: Record<string, { value: number | null; score: number | null; sample_size: number; sample_status: string; formula_note?: string }> }>
+    metrics_detail: Record<string, ScoreMetricDetail>
+  }
+  anomalies: AnomalyCard[]
+  prev: Record<string, number | string | null> | null
+  baseline: Record<string, number | string | null> | null
+  scope: MgmtScope; data_as_of: number | null; metric_version: string; config_source: 'db' | 'default'
+}
+export interface SectionResp {
+  section: string; metrics: Record<string, number | null>
+  trend: Record<string, number | null>[]
+  comparisons: Record<string, { current: number | null; prev: number | null; baseline: number | null; median: number | null }>
+  scope: MgmtScope; data_as_of: number | null; metric_version: string
+}
+export type MetricsSection = 'overview' | 'service' | 'customer' | 'workload' | 'calls'
+export const getEmployeeDetail = (userId: string, channel: MgmtChannel, start: number, end: number) =>
+  getJson<EmployeeDetailResp>(`/management/employees/${userId}`, { channel, start, end })
+export const getEmployeeMetrics = (userId: string, section: MetricsSection, channel: MgmtChannel, start: number, end: number) =>
+  getJson<SectionResp>(`/management/employees/${userId}/metrics`, { section, channel, start, end })
+```
+
+（写入前 curl 真机抽查 detail 响应键核对——同批次C C1 惯例，以真实响应为准修。）
+
+- [ ] `useManagementFilters.ts` 预设补：`Preset` 加 `'today' | 'yesterday' | 'thisWeek' | 'lastWeek'`；`presetRange` 四分支（today=当天单日窗；yesterday=昨日单日；thisWeek=本周一..今天；lastWeek=上周一..周日，**周一为一周起点**）；vitest 补 5 例（today/yesterday/thisWeek 周中+周一/lastWeek 跨月）。FilterBar 的预设选项组同步加（el-select options），分组显示：常用（今日/昨日/近7/近30）/日历（本周/上周/本月/上月）/自定义。
+- [ ] vue-tsc + `npm run test`（23+ 过）+ commit `feat(management): client补员工详情/分段接口+时间预设补今日昨日本周上周`
+
+### Task D1: 员工总览页
+
+**Files:** Create `EmployeeAnalyticsView.vue` + `EmployeeCompareDrawer.vue`；改 router（`/management/employees`）+ MainLayout（管理驾驶舱下加「员工分析」菜单项）。
+
+**页面结构**：
+
+```text
+ManagementFilterBar（复用；compare 选择器在此页透出——el-select 对比方式：上期/个人基线/团队中位数→apply({compare})）
+工具行：keyword el-input(placeholder 姓名/ID搜索) | status el-select(全部/在职/离线) | 视图 el-radio-group×4
+  （management=概览/workload=负载/service=服务/customer=客户经营——切换列组）| 指标口径按钮 | 导出 CSV | DataAsOfBadge
+主表 el-table（服务端排序 sort-change→query；行选择框多选 2-5 人→「对比」按钮开抽屉）：
+  固定列：姓名(链接进详情)+ID 小字、在职 tag
+  management 视图列：综合分(total_score+grade tag+trial*)、异常(anomaly_count 红数字+weight)、活跃客户、消息量、串/被回、维度三列(customer/service/workload score 各 0-100 或「--」)
+  workload 视图列：活跃客户、活跃群(日均)、消息收/发、通话量/秒、串
+  service 视图列：首响P50/P90(formatMsDuration)、2h回复率、24h回复率(formatRatio)、被回/串
+  customer 视图列：新客/降温/沉睡/回流(期末+期内注)、活跃占比
+  列头 ? 图标→打开 MetricDefsDrawer（复用）
+  空数据/样本不足单元格显示「--」灰字（sample_status=insufficient 时 total 亦然）
+分页 el-pagination（服务端 page/page_size 20；total）
+```
+
+**行为**：query 真源（view/keyword/status/sort_by/sort_order/page 全进 URL）；seq 守卫；**服务端排序仅四列**（后端 sort_by 白名单：anomaly_severity[默认]/total_score/active_friends/cust_threads——其余列头不显示排序箭头，tooltip「该列不支持服务端排序」）；`sort_by=total_score` 时 null 排最后由后端保证；compare 参数仅客户端显示态（employees 端点无此参数，行恒带全部四对比值）；**CSV**：扩展 `utils/csvExport.ts` 支持可选前置注释行（`exportListToCsv(..., preamble?: string[])`——含口径说明如「1:1口径·窗口 20260810-20260908·试算」）+ fetchPage 适配器（/employees 返回 `{rows,total}`，适配为 csvExport 期望的 `{items,total}`），导出当前视图列全量翻页。
+
+**EmployeeCompareDrawer**：props `{ rows: EmployeeRow[] }`（勾选行已有数据，不另发请求）；内容：五维分对比条（3 可用维度每人一行，横向 bar 0-100）+ 关键指标表（活跃客户/P90/2h率/异常数 每人一列）+ 顶部说明「同口径同时窗对比，不产生优劣结论」；>5 人禁开。
+
+**路由/菜单**：
+
+```typescript
+  { path: '/management/employees', name: 'management-employees',
+    component: () => import('@/views/management/EmployeeAnalyticsView.vue'),
+    meta: { title: '员工分析' } },
+```
+
+- [ ] vue-tsc/test/build + 真机初查（表格渲染 41 人/切视图列变/排序翻页/keyword/CSV 打开内容对）+ commit `feat(management): 员工总览页——四视图/服务端排序分页/对比抽屉/CSV导出`
+
+### Task D2: 员工详情页
+
+**Files:** Create `EmployeeAnalyticsDetailView.vue`；router 加 `/management/employees/:userId`（props:true；**activeMenu 需高亮父菜单「员工分析」**——MainLayout 的 el-menu :default-active 绑定的是路径，嵌套路由时用 route.meta 或 watch 设 index——看 MainLayout 现有 active 处理方式，最简方案：菜单 index 用路径匹配 + 详情页 route path 前缀匹配高亮，若现结构不支持则 meta.activeMenu='/management/employees' 并在 el-menu :default-active 计算）。
+
+**页面结构**：
+
+```text
+头部卡：姓名(+在职 tag)+ID | 账号清单(渠道 tag+account_id+昵称,点击跳 staff-chat/通讯录按渠道)
+  | 本期试算分大数字+grade tag+score_status(insufficient 时灰注「样本不足·不参与考核」)+trial*
+  | DataAsOfBadge | 返回列表链接
+五维条（v1 §7.2 概览的核心）:横向五条 bar——3 可用维度实分数值,action/risk 灰「待数据」占位
+  (ScoreBreakdown 简版:直接在页内画,不新建组件,el-progress/自定义 div)
+el-tabs 五页签(懒加载:激活才调 getEmployeeMetrics):
+  概览: 六数卡取自**detail.metrics**(msg/活跃/串/通话——section 端点字段有限,期值以 detail 为准)
+    + 四对比小表(comparisons 直渲染,源指标名行)
+  服务质量: 数卡 P50/P90 + 2h/24h回复率(**客户端从 metrics.reply_2h_count/cust_threads 派生,
+    与 derive_metrics 同式**——section 趋势无每日率序列) + 趋势图=**首响 P50/P90 双线(ms 轴)
+    ±串数(次轴可选)**——不做率右轴(员工级无每日率数据,率的团队级序列在驾驶舱)
+  客户经营: 期末四态数卡(取自 detail.metrics) + 降温/沉睡下钻按钮(→DrilldownDrawer lifecycle 分支)
+  工作负载: 数卡取 detail.metrics(收发/活跃客户/群/通话量) + 趋势图用 section=workload 的
+    active_friends/active_rooms 双线(trend 列为日值 active_rooms)
+  通话: 通话四数(detail.metrics) + call_followup 下钻按钮
+  **页签下钻按钮与 MetricDrilldownDrawer 的衔接**:抽屉是 card 驱动——按钮合成最小伪卡片
+    `{title:'首响P90明细', drilldown:{type:'metric',query:{metric_code:'first_reply_p90',user_id}}}` 传入
+异常区:AnomalyList(复用,@drill→MetricDrilldownDrawer 复用)
+评分明细折叠面板(el-collapse「评分怎么算出来的」): metrics_detail 表(code/名称/当前/上期/基线/中位/样本/得分)
+  + prev/baseline 原始 PeriodMetrics 两个 JSON 折叠(调试用,灰字注明)
+```
+
+**行为**：query 真源（channel/start/end/compare/section 进 URL，页签切换 replace）；seq 守卫每页签独立（切页签取消旧渲染）；404 员工→el-result 错误页+返回链接；「创建辅导记录」按钮**占位禁用**（tooltip「批次E上线」）。
+
+- [ ] vue-tsc/test/build + 真机初查（王云青详情：五维条/五页签懒加载/异常/评分明细展开/账号跳聊天）+ commit `feat(management): 员工详情页——五维条/五页签懒加载/四对比/评分明细/事实下钻复用`
+
+### Task D3: 驾驶舱 KPI 环比 + 异常跳员工
+
+**后端**（`management.py` dashboard + `api_assembly.py`）：①dashboard 端点 kpis 加 `prev_kpis` 块（active_customers/active_employees/msg_total/cust_threads——dashboard 走 assemble_employees(with_prev=False)，需加一次 prev 窗 period_metrics 全员调用，B5 实测三窗合计 ~0.3s，加一窗 +0.1s 量级）+ `msg_delta`（(cur-prev)/prev，prev=0→null）。lifecycle/通话不加环比（期末/全渠道口径环比意义弱，注明）。②**异常卡补 `employee_name`**（assemble_employees 手里已有全员 name——组装 anomalies 时带上，一行）；同步 AnomalyCard type。测试补：dashboard 响应含 prev_kpis 且数字=prev 窗聚合 + anomalies[0].employee_name 非空。
+**前端**：KpiCard 加 `delta?: number | null` prop（↑绿↓红，方向语义由调用方定——涨=好传正绿；不传不显示）；驾驶舱三卡接 delta（活跃客户/活跃员工/消息量）；AnomalyList 的 title 下加员工行（`employee_name` 链接→`/management/employees/{user_id}`）+ 新增 `showEmployee?: boolean` prop（默认 true；D2 员工详情页复用时传 false 免自链接）。
+- [ ] 后端 pytest（test_management_api.py 补 prev_kpis 断言）+ 前端走查三卡箭头/异常跳员工 + commit `feat(management): 驾驶舱KPI环比(prev_kpis+delta箭头)+异常卡跳员工详情`
+
+### Task D4: 真机走查 + 验收
+
+- [ ] 全链路走查（Playwright）：驾驶舱→异常卡→**员工详情**（新链路！）→页签→下钻→聊天；员工总览→对比抽屉→CSV；1366px；刷新保持；
+- [ ] 验收对照（v1 §19.1 员工子集）：能查看所有员工多维状态 ✓/任一分数展开为指标公式样本事实 ✓（评分明细面板）/四对比 ✓/样本不足不评分显示 ✓/异常两次点击进事实 ✓/默认排序非总分榜 ✓；
+- [ ] 四门禁（vue-tsc/vitest/build/后端 pytest）；
+- [ ] commit 收尾零散 + 走查记录追加核实文档「批次D走查」小节。
+
+---
+
+## 批次D验收清单
+
+- [ ] 员工总览：41 人四视图/服务端排序分页/keyword/对比 2-5 人/CSV 含口径注释；
+- [ ] 员工详情：五维条 3+2 占位/五页签懒加载/四对比/评分明细可展开/三处下钻按钮进抽屉/账号跳聊天；
+- [ ] 驾驶舱：三 KPI 有环比箭头/异常卡可跳员工详情（闭环打通）；
+- [ ] 时间预设全套（今日/昨日/近7/近30/本周/上周/本月/上月/自定义）；
+- [ ] URL 全参数保持；四门禁绿；后端仅 dashboard 一处小改且测试补齐。
+
+## 批次E-F
+
+E：followups 辅导闭环（写端点+schemas_management+详情页按钮激活）+ 考核快照（生成/冻结/列表/导出）。F：调度接入（analytics_tick 第三步+full_sync 13/14 步+scheduler 镜像重建还 9d3cc8e 旧账）+ dashboard 性能修复（unreplied 索引三选一）+ 服务器部署+回测试运行。

docs/superpowers/plans/2026-09-10-management-console-batch-f-scheduling-plan.md

@@ -0,0 +1,142 @@
+# 云客经营管理后台·批次F-调度子批（管理指标接入定时链）实施计划
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task.
+
+**Goal:** 管理域三张派生表（first_reply_fact / employee_metric_daily / employee_call_daily）进入生产定时链——4h 滚动 + 夜间全量自愈，数据每天活起来（同步审计 2026-09-10 结论 #5 的管理域部分）。
+
+**Architecture:** 两处接线：`scheduler.py _analytics_tick` 加**独立事务**的管理滚动段（近 3 天，失败不回滚既有 staff/敏感词段）；`yunke-server/scripts/full_sync_all.sh` 在 11/12 步后加 13/14 步（fact 全量 → 宽表+通话全量）+ 终局快照补三表行数。CLI 已有（first-reply-facts / employee-metrics），无新端点。**边界：不碰审计文档 P0 的脚本加固/实体补抓（并行会话领地）**。
+
+**Tech Stack:** 同批次A（APScheduler + SQLAlchemy async + bash）。
+
+---
+
+## 执行者必读
+
+1. **上游函数签名（as-built）**：`first_reply_facts.pairs_active_in_days(session, days) / recompute_pairs(session, pairs)`；`storage/employee_metrics.recompute_metric_days(session, days) / recompute_call_days(session, days)`；`staff_summary.rolling_days(today, 3)`（返回当日+前2天列表）。全部幂等 delete+insert。
+2. **隔离语义（v2 Task 12：指标失败不中断主流程）**：tick 内管理段用**独立 session+commit**——失败只回滚管理段自身，staff/敏感词段已提交不受影响（当前实现是单 try 单事务，改造为两段）。
+3. **锁竞争既有结论**（tick docstring 已记录）：与夜间 full_sync 重叠时 DELETE+INSERT 可能锁等待，非致命，幂等下轮自愈——管理段沿用同一语义，docstring 注明。
+4. 脚本在 `yunke-server/scripts/full_sync_all.sh`（注意路径已从根 scripts/ 迁移）；测试先例 `tests/test_scheduler_analytics_tick.py`。
+5. 并行会话活动照旧；中文 conventional 提交。
+
+## 任务
+
+### Task F1: _analytics_tick 管理段 + 测试
+
+**Files:** Modify `yunke-server/app/sync/scheduler.py` + `tests/test_scheduler_analytics_tick.py`
+
+改造 `_analytics_tick`（:703）为两段：
+
+```python
+    async def _analytics_tick(self) -> None:
+        """4h 分析链(staff 滚动3天 + 敏感词增量 + 管理域滚动)——异常只记日志不断链。
+
+        两段独立事务:段1 staff+敏感词;段2 管理域(fact 近3天活跃会话 + 宽表/
+        通话 滚动3天,批次F 2026-09-10)。段2 失败只回滚自身,不牵连段1 已
+        提交结果(v2 Task12:指标失败不中断主分析链)。纯 DB 无浏览器,不抢
+        ``_page_lock``;与夜间 full_sync 13/14 步重叠时的锁竞争语义同段1
+        (非致命,幂等下轮自愈)。
+        """
+        # ── 段1:staff 滚动 + 敏感词增量(既有,原样保留) ──
+        try:
+            async with self._session_maker() as session:
+                from app.analytics.sensitive import scanner
+                from app.storage.staff_summary import recompute_days, rolling_days
+                from app.storage.summary import day_key
+
+                today = day_key(int(time.time() * 1000))
+                n = await recompute_days(session, rolling_days(today, 3))
+                scan = await scanner.run_incremental(session)
+                await session.commit()
+            logger.info(
+                "[analytics-tick] staff_days=%s scanned=%s hits=%s",
+                n, scan.get("scanned"), scan.get("hits"),
+            )
+        except Exception:  # noqa: BLE001 — scheduler MUST NOT crash
+            logger.exception("analytics tick failed")
+
+        # ── 段2:管理域滚动(fact 活跃会话 + 宽表/通话,当日+滚动3天) ──
+        try:
+            async with self._session_maker() as session:
+                from app.storage.employee_metrics import (
+                    recompute_call_days,
+                    recompute_metric_days,
+                )
+                from app.storage.first_reply_facts import (
+                    pairs_active_in_days,
+                    recompute_pairs,
+                )
+                from app.storage.staff_summary import rolling_days
+                from app.storage.summary import day_key
+
+                rd = rolling_days(day_key(int(time.time() * 1000)), 3)
+                pairs = await pairs_active_in_days(session, rd)
+                f = await recompute_pairs(session, pairs)
+                w = await recompute_metric_days(session, rd)
+                c = await recompute_call_days(session, rd)
+                await session.commit()
+            logger.info(
+                "[analytics-tick] mgmt fact_pairs=%s wide_rows=%s call_rows=%s",
+                f, w, c,
+            )
+        except Exception:  # noqa: BLE001
+            logger.exception("management metrics tick failed")
+```
+
+（导入合并/去重按文件现状微调；today 变量两段各自取或共享只读。注：`recompute_metric_days` 内部会再查一次 `pairs_active_in_days`（与本段显式调用重复但廉价）——非冗余待修，fact 段需要显式拿 pairs 计数记日志。）
+
+**测试追加**（照既有文件 mock 模式）：
+1. tick 调用顺序：staff recompute_days → 敏感 scan → pairs_active_in_days(rolling3) → recompute_pairs → recompute_metric_days → recompute_call_days；
+2. **段2 失败隔离**：recompute_metric_days 抛异常 → staff recompute_days 与敏感 scan 仍被调用且各自 commit 成功、tick 不抛、异常被记（caplog）；
+3. rolling 窗口传参 = rolling_days(today,3)。
+
+- [ ] `pytest tests/test_scheduler_analytics_tick.py -v` + 全量 -q → commit `feat(management): 4h分析链接入管理域滚动段——独立事务隔离/fact活跃会话+宽表+通话滚动3天`
+
+### Task F2: full_sync_all.sh 13/14 步 + 快照行数
+
+**Files:** Modify `yunke-server/scripts/full_sync_all.sh`
+
+第 12 步之后（COMPLETE 横幅之前）加：
+
+```bash
+# 13:首响事实表全量重建(管理域,跨日精确串;批次A)——会话发现读
+#    msg_daily_stats(fact 行直算读 message),故须在 11 步后;与 11/12
+#    同为夜间自愈链(绕过钩子的写入由全量重算纠正)
+echo "$(date) --- 13/14 First-reply-facts rebuild ---"
+$PY -m app.sync.cli first-reply-facts
+# 14:管理宽表+通话小表全量重建(驾驶舱/员工页读路径;串类列与 fact 同
+#    算法各自直算,放 fact 后保持派生链顺序语义)
+echo "$(date) --- 14/14 Employee-metrics rebuild ---"
+$PY -m app.sync.cli employee-metrics
+```
+
+终局快照 TABLES 追加三行（放 daily stats rows 后）：
+
+```python
+    ("first reply facts", "SELECT COUNT(*) FROM first_reply_fact"),
+    ("employee metric rows", "SELECT COUNT(*) FROM employee_metric_daily"),
+    ("employee call rows", "SELECT COUNT(*) FROM employee_call_daily"),
+```
+
+- [ ] `bash -n yunke-server/scripts/full_sync_all.sh` 语法过 + commit `feat(management): 夜间全量脚本13/14步——fact与宽表全量自愈+终局快照三表行数`
+
+### Task F3: 本地 scheduler 容器重建 + 真机验证 + 归档
+
+1. **真机验证滚动段**（直接跑 tick 逻辑，不等 4h）：临时脚本或 `python -c` 用 scheduler 的 session_maker 调 `_analytics_tick()`（或手动等价：按 rolling 3 天调三个 recompute + commit）——记录耗时（预期 fact 活跃会话数十秒级内）+ 三表当日行数变化（recompute 后 updated 行 freshness）；
+2. **幂等复跑**：连跑两次行数一致；
+3. **本地 scheduler 容器重建**（新代码进夜间链）：`docker ps` 确认 scheduler 容器名 → `docker compose -f docker-compose.yml up -d --build scheduler`——**范围仅本地**（服务器 scheduler 镜像 2026-09-09 已重建过，服务器侧等部署时随 DEPLOY.md 流程走，本任务不碰）；重建前后 `docker exec <scheduler> python -c "import app.sync.scheduler"` 冒烟；（已知后果不阻塞：phone_call 尚未进 4h/每日页面同步链[审计P0-5,并行会话领地]——通话小表滚动重算在补齐前只是从静态源幂等重生成）；
+4. 归档：耗时/行数/容器重建记录 → 核实文档「批次F-调度」小节 + commit。
+
+- [ ] commit `docs(management): 批次F调度接入验证——滚动段耗时/幂等/容器重建(清9d3cc8e旧账)`
+
+## 验收清单
+
+- [ ] tick 两段隔离测试过（段2 异常不牵连段1）；
+- [ ] 夜间脚本 13/14 步 + 快照三表行数；
+- [ ] 滚动段真机耗时记录（预期 <60s）+ 幂等；
+- [ ] 本地 scheduler 容器已重建（新代码），夜间 02:00 链将含管理域；
+- [ ] 全量测试绿；
+- [ ] 未触碰审计 P0 领地（脚本加固/实体补抓——并行会话负责）。
+
+## 后续（不在本子批）
+
+E：辅导+快照；F 余项：dashboard 性能修复（unreplied 索引）、winsorize 决策、服务器部署（届时服务器 scheduler 镜像重建走 DEPLOY.md）。

yunke-server/app/api/main.py

@@ -49,6 +49,7 @@ from app.api.routers import (
     export,
     groups,
     login,
+    management,
     media,
     messages,
     moments,
@@ -101,6 +102,7 @@ app.include_router(sessions.router)
 app.include_router(export.router)
 app.include_router(voice_clips.router)
 app.include_router(analytics.router)
+app.include_router(management.router)
 
 
 @app.get("/api/health")

yunke-server/app/api/routers/groups.py

@@ -101,6 +101,29 @@ async def list_groups(
     list_stmt = sa.select(ChatGroup)
     if conditions:
         list_stmt = list_stmt.where(*conditions)
+    if (channel or "wechat") == "wechat":
+        # 云客「微信群统计」同款排序(2026-09-10 真机终判):owner_account_id
+        # (=微信号/wxid 混存,如 Nancyjade < csf7169708 < wxid_01gv…——大写
+        # 在小写前=区分大小写)**二进制字节序升序**分组,组内 room_id 字符串
+        # 升序。字节序按方言:MySQL 用 CAST(col AS BINARY)(collate("BINARY")
+        # 会被 SQLAlchemy 反引号成标识符);SQLite 用 COLLATE BINARY(其 CAST
+        # AS BINARY 语义不符)。WA 保持最近活跃优先。
+        dialect = session.bind.dialect.name if session.bind is not None else ""
+        if dialect == "mysql":
+            owner_order = sa.literal_column(
+                "CAST(chat_group.owner_account_id AS BINARY)"
+            ).asc()
+        else:
+            owner_order = ChatGroup.owner_account_id.collate("BINARY").asc()
+        list_stmt = (
+            list_stmt.order_by(
+                owner_order,
+                ChatGroup.room_id.asc(),
+            )
+            .limit(page_size)
+            .offset((page - 1) * page_size)
+        )
+    else:
         list_stmt = (
             list_stmt.order_by(
                 sa.nullslast(ChatGroup.last_chat_time.desc()),

yunke-server/app/api/routers/management.py

@@ -0,0 +1,571 @@
+"""GET /api/management/* —— 经营管理后台只读端组(批次B Task B4)。
+
+六个端点:dashboard(总览)/ employees(列表,一期四视图共用行集)/
+employees/{user_id}(详情)/ employees/{user_id}/metrics(分段指标+趋势)/
+employees/{user_id}/drilldown(白名单下钻)/ metric-definitions(口径字典)。
+
+惯例同 analytics.py:channel=all 在 router 层翻译为 None 传服务层;
+start/end yyyymmdd 缺一/日历非法/start>end/跨度>366 天皆 422(_window);
+重查询与行构造在 app.management.api_assembly,本文件只做薄编排。
+所有查询共用单 AsyncSession——**顺序 await,不并发**(见 assembly 模块)。
+"""
+from __future__ import annotations
+
+import datetime as dt
+from typing import Annotated, Any, Literal
+
+import sqlalchemy as sa
+from fastapi import APIRouter, Depends, HTTPException, Query
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.analytics import health as health_svc
+from app.analytics import metrics as metrics_svc
+from app.api.deps import get_session
+from app.db.models import Staff, WechatAccount, WhatsappAccount
+from app.management import api_assembly as asm
+from app.management.anomalies import detect_anomalies
+from app.management.employee_metrics import (
+    baseline_window,
+    day_range,
+    period_metrics,
+    prev_window,
+)
+from app.management.metric_definitions import METRIC_DEFINITIONS
+from app.storage.employee_metrics import METRIC_VERSION
+from app.storage.staff_summary import account_map
+
+router = APIRouter(prefix="/api/management", tags=["management"])
+
+SessionDep = Annotated[AsyncSession, Depends(get_session)]
+AllChannelParam = Annotated[Literal["all", "wechat", "whatsapp"], Query()]
+YmdParam = Annotated[int, Query(ge=20000101, le=29991231)]
+CompareParam = Annotated[
+    Literal["previous", "personal_baseline", "team_median"], Query()
+]
+ViewParam = Annotated[
+    Literal["management", "workload", "service", "customer"], Query()
+]
+StatusParam = Annotated[Literal["all", "on_job", "offline"], Query()]
+SortByParam = Annotated[
+    Literal["anomaly_severity", "total_score", "active_friends", "cust_threads"],
+    Query(),
+]
+SortOrderParam = Annotated[Literal["asc", "desc"], Query()]
+SectionParam = Annotated[
+    Literal["overview", "service", "customer", "workload", "calls"], Query()
+]
+
+# drilldown 白名单(外 422 "unknown metric_code")
+_DRILLDOWN_CODES = frozenset({
+    "first_reply_p50", "first_reply_p90", "unreplied",
+    "cooling_customers", "dormant_customers", "call_followup",
+})
+
+# unreplied 适配:上游无私有 owner 过滤,取全量决赛圈结果再按 owner 过滤。
+# 500 = analytics.metrics._FINALIZE_ALL_MAX 同值(候选 ≤500 时单次调用即
+# 拿到全部已过滤 items;超过则上游本就按候选分页,响应标 truncated)。
+_UNREPLIED_FETCH = 500
+
+# 三方口径差异说明(硬编码,与 METRIC_DEFINITIONS.caliber 互补的总述)
+CALIBER_NOTES = (
+    "管理域指标为 1:1 私聊口径且跨日精确(消息串按会话全历史计算、"
+    "归属串末条所在自然日);现有看板为私聊+群聊混合、日切口径"
+    "(跨夜串重复计/丢失,回复率分子分母同源近似)。"
+    "通话指标(通话数/时长/接通/跟进)无消息渠道维度——"
+    "voice_call 与 wa_voice_call 合并计数,不随 channel 参数过滤。"
+)
+
+# 各 section 的期指标字段(自 PeriodMetrics 挑)与宽表/通话表趋势列
+_SECTION_FIELDS: dict[str, tuple[str, ...]] = {
+    "overview": ("days_with_data", "msg_sent", "msg_recv", "active_friends",
+                 "active_rooms_avg"),
+    "service": ("cust_threads", "threads_answered", "fr_sum_ms",
+                "fr_p50_ms", "fr_p90_ms", "reply_2h_count", "reply_24h_count"),
+    "customer": ("new_customer", "cooling_customer", "dormant_customer",
+                 "reactivated_customer", "end_active_friends"),
+    "workload": ("active_friends", "active_rooms_avg", "cust_threads"),
+    "calls": ("call_count", "call_seconds", "answered_call", "call_followup"),
+}
+_SECTION_TREND_COLS: dict[str, tuple[str, ...]] = {
+    "overview": ("msg_sent", "msg_recv", "active_friends"),
+    "service": ("cust_threads", "threads_answered", "fr_sum_ms",
+                "first_reply_p50_ms", "first_reply_p90_ms"),
+    "customer": ("new_customer_count", "cooling_customer_count",
+                 "dormant_customer_count", "reactivated_customer_count"),
+    "workload": ("active_friends", "active_rooms"),
+    "calls": ("call_count", "call_seconds", "answered_call_count",
+              "call_followup_count"),
+}
+
+
+def _window(start: int | None, end: int | None) -> tuple[int, int]:
+    """管理端点公共窗口校验(照 analytics custom scope 惯例)。"""
+    if start is None or end is None:
+        raise HTTPException(422, "start and end are required")
+    try:
+        sd = dt.date(start // 10000, (start // 100) % 100, start % 100)
+        ed = dt.date(end // 10000, (end // 100) % 100, end % 100)
+    except ValueError as exc:  # 如 20260230——Query 只拦范围不拦日历
+        raise HTTPException(422, "invalid start/end calendar date") from exc
+    if sd > ed:
+        raise HTTPException(422, "start must be <= end")
+    if (ed - sd).days > 365:  # 含端点共 366 天
+        raise HTTPException(422, "span must be <= 366 days")
+    return start, end
+
+
+def _translate(channel: str) -> str | None:
+    return None if channel == "all" else channel
+
+
+async def _get_staff(session: AsyncSession, user_id: str) -> Staff:
+    staff = (await session.execute(
+        sa.select(Staff).where(Staff.user_id == user_id)
+    )).scalar_one_or_none()
+    if staff is None:
+        raise HTTPException(404, f"employee {user_id} not found")
+    return staff
+
+
+@router.get("/dashboard")
+async def management_dashboard(
+    session: SessionDep,
+    channel: AllChannelParam = "all",
+    start: YmdParam | None = None,
+    end: YmdParam | None = None,
+    compare: CompareParam = "previous",
+) -> dict[str, Any]:
+    """经营管理总览:KPI + 双趋势 + 生命周期 + 维度分布 + 异常汇总 +
+    行动入口计数,单往返。compare 仅回显(对比数值在 employees 行内)。"""
+    start, end = _window(start, end)
+    ch = _translate(channel)
+    config, config_source = await asm.load_score_config(session)
+    assembled = await asm.assemble_employees(
+        session, config, start, end, ch, with_prev=False
+    )
+    pms = [a["cur"] for a in assembled.values()]
+
+    # ---- 趋势两查:宽表全员逐日 + 通话小表逐日 + fact 逐日 ----
+    wide = await asm.wide_daily_rows(session, start, end, ch)
+    wide_by_day = {d["day"]: d for d in wide}
+    threads_by_day = {d["day"]: d["cust_threads"] for d in wide}
+    calls = await asm.call_daily_rows(session, start, end)
+    call_by_day = {d["day"]: d["call_count"] for d in calls}
+    comm_trend = []
+    for day in day_range(start, end):
+        d = wide_by_day.get(day)
+        comm_trend.append({
+            "day": day,
+            "msg_total": (d["msg_sent"] + d["msg_recv"]) if d else 0,
+            # 团队合计口径:当日各员工宽表 active_friends 求和
+            "active_customers": d["active_friends"] if d else 0,
+            "call_cnt": call_by_day.get(day, 0),
+        })
+    service_trend = await asm.service_daily_trend(
+        session, start, end, ch, threads_by_day
+    )
+
+    lifecycle = {
+        "new": sum(p.new_customer for p in pms),
+        "cooling": sum(p.cooling_customer for p in pms),
+        "dormant": sum(p.dormant_customer for p in pms),
+        "reactivated": sum(p.reactivated_customer for p in pms),
+    }
+    kpis = {
+        # 全员 active_friends 求和:跨员工可能重复计客户(共享客户)
+        "active_customers": sum(p.active_friends for p in pms),
+        "active_employees": sum(1 for p in pms if p.days_with_data > 0),
+        "msg_total": sum(p.msg_sent + p.msg_recv for p in pms),
+        "cust_threads": sum(p.cust_threads for p in pms),
+        "threads_answered": sum(p.threads_answered for p in pms),
+        "call_count": sum(p.call_count for p in pms),
+        "call_seconds": sum(p.call_seconds for p in pms),
+        "answered_call": sum(p.answered_call for p in pms),
+        "lifecycle": lifecycle,
+    }
+
+    # ---- 前窗环比基线(批次D):prev 窗全员一次 period_metrics,聚合式与
+    # kpis 完全同式(活跃客户=Σactive_friends、活跃员工=天数>0 计数、
+    # msg_total=Σ(sent+recv)、cust_threads=Σ)。lifecycle(期末存量)与
+    # 通话(全渠道口径,表无渠道维)不加环比——期末/混合口径的环比意义弱。
+    ps, pe = prev_window(start, end)
+    prev_pms = list((await period_metrics(session, ps, pe, ch)).values())
+    prev_kpis = {
+        # 全员求和口径同 kpis(跨员工共享客户可能重复计)
+        "active_customers": sum(p.active_friends for p in prev_pms),
+        "active_employees": sum(1 for p in prev_pms if p.days_with_data > 0),
+        "msg_total": sum(p.msg_sent + p.msg_recv for p in prev_pms),
+        "cust_threads": sum(p.cust_threads for p in prev_pms),
+    }
+    # 前窗无消息(prev=0)不算环比——None 而非 0/负∞
+    prev_msg = prev_kpis["msg_total"]
+    msg_delta = (
+        round((kpis["msg_total"] - prev_msg) / prev_msg, 3)
+        if prev_msg > 0 else None
+    )
+
+    # ---- 维度分布(全员 score_employee 的维度状态计数) ----
+    dim_summary: dict[str, dict] = {}
+    for a in assembled.values():
+        for key, dim in a["score"]["dimensions"].items():
+            e = dim_summary.setdefault(key, {
+                "name": dim.get("name"), "weight": dim.get("weight", 0),
+                "scored_count": 0, "insufficient_count": 0,
+                "pending_count": 0, "_scores": [],
+            })
+            if dim["status"] == "scored":
+                e["scored_count"] += 1
+                e["_scores"].append(dim["score"])
+            elif dim["status"] == "insufficient":
+                e["insufficient_count"] += 1
+            else:  # pending / pending_data
+                e["pending_count"] += 1
+    for e in dim_summary.values():
+        scores = e.pop("_scores")
+        e["avg_score"] = (
+            sum(scores) / len(scores) if scores else None
+        )
+
+    # ---- 异常汇总:critical 先、warning 后,同 severity 按 affected desc ----
+    # dashboard 卡片 enrich employee_name(staff 名,assemble 已在手)供前端
+    # 跳员工详情;员工详情端点的 anomalies 不带(自指无意义)
+    anomalies = [
+        {**a, "employee_name": data["name"]}
+        for data in assembled.values()
+        for a in data["anomalies"]
+    ]
+    sev_rank = {"critical": 0, "warning": 1}
+    anomalies.sort(key=lambda a: (
+        sev_rank.get(a["severity"], 9),
+        -a.get("affected_count", 0),
+        a["employee_user_id"],
+    ))
+
+    return {
+        "scope": {"channel": channel, "start": start, "end": end,
+                  "compare": compare},
+        "data_as_of": await health_svc.data_as_of(session),
+        "metric_version": METRIC_VERSION,
+        "config_source": config_source,
+        "kpis": kpis,
+        "prev_kpis": prev_kpis,
+        "msg_delta": msg_delta,
+        "communication_trend": comm_trend,
+        "service_trend": service_trend,
+        "lifecycle": lifecycle,
+        "dimension_summary": dim_summary,
+        "anomalies": anomalies,
+        "action_summary": await metrics_svc.action_counts(session, channel=ch),
+        "caliber_notes": {
+            "active_customers": "kpis.active_customers 为全员周期 distinct "
+            "求和,跨员工共享客户可能重复计",
+            "trend_active_customers": "communication_trend.active_customers "
+            "为宽表日值团队合计(日口径求和)",
+            "reply_2h_rate": "分子=fact 当日 ≤2h 计数,分母=宽表当日串数",
+        },
+    }
+
+
+@router.get("/employees")
+async def management_employees(
+    session: SessionDep,
+    channel: AllChannelParam = "all",
+    start: YmdParam | None = None,
+    end: YmdParam | None = None,
+    view: ViewParam = "management",
+    keyword: str | None = None,
+    status: StatusParam = "all",
+    sort_by: SortByParam = "anomaly_severity",
+    sort_order: SortOrderParam = "desc",
+    page: int = Query(1, ge=1),
+    page_size: int = Query(20, ge=1, le=100),
+) -> dict[str, Any]:
+    """员工列表(一期 management/workload/service/customer 四视图共用
+    行集,view 仅回显)。默认 anomaly_severity 排序:含 critical 者 →
+    权重和 → 卡片数;total_score 排序 None 恒排最后。"""
+    start, end = _window(start, end)
+    ch = _translate(channel)
+    config, config_source = await asm.load_score_config(session)
+    assembled = await asm.assemble_employees(
+        session, config, start, end, ch, with_prev=True
+    )
+    items = list(assembled.items())
+
+    if ch is not None:
+        # 渠道过滤=账号归属(该渠道无账号的员工不进列表;有账号无数据仍
+        # 展示零值行)
+        owners_uids = set((await account_map(session, ch)).values())
+        items = [(u, d) for u, d in items if u in owners_uids]
+    if keyword:
+        kw = keyword.strip().lower()
+        items = [
+            (u, d) for u, d in items
+            if kw in (d["name"] or "").lower() or kw in u.lower()
+        ]
+    if status == "on_job":
+        items = [(u, d) for u, d in items if d["is_on_job"] is True]
+    elif status == "offline":
+        items = [(u, d) for u, d in items if d["is_on_job"] is not True]
+
+    items.sort(key=lambda kv: kv[0])  # 决胜底座:user_id asc(稳定排序)
+    if sort_by == "anomaly_severity":
+        items.sort(key=lambda kv: (
+            any(a["severity"] == "critical" for a in kv[1]["anomalies"]),
+            kv[1]["anomaly_weight"], kv[1]["anomaly_count"],
+        ), reverse=(sort_order == "desc"))
+    elif sort_by == "total_score":
+        # None(样本不足等)恒排最后,与升降序无关
+        if sort_order == "desc":
+            items.sort(key=lambda kv: (
+                kv[1]["score"]["total_score"] is None,
+                -(kv[1]["score"]["total_score"] or 0),
+            ))
+        else:
+            items.sort(key=lambda kv: (
+                kv[1]["score"]["total_score"] is None,
+                kv[1]["score"]["total_score"] or 0,
+            ))
+    else:  # active_friends / cust_threads(PeriodMetrics 数值列)
+        if sort_order == "desc":
+            items.sort(key=lambda kv: -getattr(kv[1]["cur"], sort_by))
+        else:
+            items.sort(key=lambda kv: getattr(kv[1]["cur"], sort_by))
+
+    total = len(items)
+    page_rows = items[(page - 1) * page_size: page * page_size]
+    return {
+        "total": total,
+        "page": page,
+        "page_size": page_size,
+        "rows": [asm.build_employee_row(u, d, config) for u, d in page_rows],
+        "scope": {"channel": channel, "start": start, "end": end,
+                  "view": view},
+        "data_as_of": await health_svc.data_as_of(session),
+        "metric_version": METRIC_VERSION,
+        "config_source": config_source,
+    }
+
+
+@router.get("/employees/{user_id}")
+async def management_employee_detail(
+    session: SessionDep,
+    user_id: str,
+    channel: AllChannelParam = "all",
+    start: YmdParam | None = None,
+    end: YmdParam | None = None,
+) -> dict[str, Any]:
+    """员工详情:身份+账号清单+期指标全字段+评分完整明细(含逐指标
+    metrics_detail)+异常卡片+prev/baseline 原始 PeriodMetrics。"""
+    start, end = _window(start, end)
+    ch = _translate(channel)
+    staff = await _get_staff(session, user_id)
+    config, config_source = await asm.load_score_config(session)
+
+    cur_map = await period_metrics(session, start, end, ch, user_ids={user_id})
+    bs, be = baseline_window(start)
+    base_map = await period_metrics(session, bs, be, ch, user_ids={user_id})
+    ps, pe = prev_window(start, end)
+    prev_map = await period_metrics(session, ps, pe, ch, user_ids={user_id})
+    cur, base, prev = (cur_map.get(user_id), base_map.get(user_id),
+                       prev_map.get(user_id))
+    if cur is None:  # 防御:_get_staff 已保证在 staff,period_metrics 必含
+        raise HTTPException(404, f"employee {user_id} not found")
+    team = asm.team_derived_medians(
+        await period_metrics(session, start, end, ch)
+    )
+    score = asm.score_with_guards(config, cur, baseline=base, team=team,
+                                  prev=prev)
+    anomalies = detect_anomalies(
+        user_id, cur, base, n_days=len(day_range(start, end)), config=config
+    )
+
+    accounts: list[dict] = []
+    for wa in (await session.execute(
+        sa.select(WechatAccount).where(WechatAccount.user_id == user_id)
+    )).scalars():
+        accounts.append({
+            "channel": "wechat", "account_id": wa.wx_id,
+            "nick_name": wa.nick_name, "user_name": wa.user_name,
+        })
+    for wa in (await session.execute(
+        sa.select(WhatsappAccount).where(WhatsappAccount.user_id == user_id)
+    )).scalars():
+        accounts.append({
+            "channel": "whatsapp", "account_id": wa.uid,
+            "nick_name": wa.nick_name, "user_name": wa.user_name,
+        })
+
+    return {
+        "user_id": user_id,
+        "name": staff.name,
+        "is_on_job": staff.is_on_job,
+        "accounts": accounts,
+        "metrics": cur._asdict(),
+        "score": score,
+        "anomalies": anomalies,
+        "prev": prev._asdict() if prev is not None else None,
+        "baseline": base._asdict() if base is not None else None,
+        "scope": {"channel": channel, "start": start, "end": end},
+        "data_as_of": await health_svc.data_as_of(session),
+        "metric_version": METRIC_VERSION,
+        "config_source": config_source,
+    }
+
+
+@router.get("/employees/{user_id}/metrics")
+async def management_employee_metrics(
+    session: SessionDep,
+    user_id: str,
+    section: SectionParam = "overview",
+    channel: AllChannelParam = "all",
+    start: YmdParam | None = None,
+    end: YmdParam | None = None,
+) -> dict[str, Any]:
+    """员工分段指标:该域期指标 + 窗口逐日趋势 + 四对比
+    (current/prev/baseline/median,派生率走 scoring.derive_metrics 口径)。"""
+    start, end = _window(start, end)
+    ch = _translate(channel)
+    await _get_staff(session, user_id)
+    cur_map = await period_metrics(session, start, end, ch, user_ids={user_id})
+    bs, be = baseline_window(start)
+    base_map = await period_metrics(session, bs, be, ch, user_ids={user_id})
+    ps, pe = prev_window(start, end)
+    prev_map = await period_metrics(session, ps, pe, ch, user_ids={user_id})
+    cur, base, prev = (cur_map.get(user_id), base_map.get(user_id),
+                       prev_map.get(user_id))
+    if cur is None:
+        raise HTTPException(404, f"employee {user_id} not found")
+    team = asm.team_derived_medians(
+        await period_metrics(session, start, end, ch)
+    )
+
+    if section == "calls":
+        src_rows = await asm.call_daily_rows(session, start, end,
+                                             user_id=user_id)
+    else:
+        src_rows = await asm.wide_daily_rows(session, start, end, ch,
+                                             user_id=user_id)
+    by_day = {r["day"]: r for r in src_rows}
+    cols = _SECTION_TREND_COLS[section]
+    trend = []
+    for day in day_range(start, end):
+        row = by_day.get(day)
+        point: dict[str, Any] = {"day": day}
+        for col in cols:
+            if row is not None:
+                point[col] = row.get(col)
+            else:  # 无数据日:计数列补 0,分位列补 None
+                point[col] = None if col.startswith("first_reply") else 0
+        trend.append(point)
+
+    return {
+        "section": section,
+        "metrics": {f: getattr(cur, f) for f in _SECTION_FIELDS[section]},
+        "trend": trend,
+        "comparisons": asm.derived_comparisons(cur, prev, base, team),
+        "scope": {"channel": channel, "start": start, "end": end,
+                  "user_id": user_id},
+        "data_as_of": await health_svc.data_as_of(session),
+        "metric_version": METRIC_VERSION,
+    }
+
+
+@router.get("/employees/{user_id}/drilldown")
+async def management_employee_drilldown(
+    session: SessionDep,
+    user_id: str,
+    metric_code: str,
+    channel: AllChannelParam = "all",
+    start: YmdParam | None = None,
+    end: YmdParam | None = None,
+    page: int = Query(1, ge=1),
+    page_size: int = Query(20, ge=1, le=100),
+) -> dict[str, Any]:
+    """指标下钻(白名单六项,外 422):首响分位逐串证据 / 未回串 /
+    降温·沉睡客户名单 / 通话跟进列表。所有分支按员工 owner 账号过滤。"""
+    if metric_code not in _DRILLDOWN_CODES:
+        raise HTTPException(422, f"unknown metric_code: {metric_code}")
+    start, end = _window(start, end)
+    ch = _translate(channel)
+    await _get_staff(session, user_id)
+    scope = {"user_id": user_id, "metric_code": metric_code,
+             "channel": channel, "start": start, "end": end}
+    owners = await asm.user_owner_accounts(session, user_id, ch)
+
+    def _paged(items: list[dict]) -> dict[str, Any]:
+        ix = (page - 1) * page_size
+        return {"items": items[ix: ix + page_size], "total": len(items),
+                "page": page, "page_size": page_size, "scope": scope}
+
+    if metric_code in ("first_reply_p50", "first_reply_p90"):
+        if not owners:
+            return _paged([])
+        total, items = await asm.fr_fact_rows(
+            session, owners, ch, start, end, page=page, page_size=page_size
+        )
+        return {"items": items, "total": total, "page": page,
+                "page_size": page_size, "scope": scope}
+
+    if metric_code == "unreplied":
+        if not owners:  # 无账号→必空,免进上游决赛圈点查
+            return _paged([])
+        # 上游无私有 owner 过滤:一次拉全量决赛圈结果(候选 ≤500 时完整),
+        # 按 owner 账号过滤后内存分页;候选超限标 truncated(过滤可能不全)
+        res = await metrics_svc.unreplied(
+            session, channel=ch, hours=24, page=1, page_size=_UNREPLIED_FETCH
+        )
+        owner_set = set(owners)
+        owned = [i for i in res["items"]
+                 if i["owner_account_id"] in owner_set]
+        out = _paged(owned)
+        out["note"] = ("按该员工 owner 账号自全量未回清单过滤"
+                       "(hours=24,与看板清单同源同判定)")
+        if res["total"] > len(res["items"]):
+            out["truncated"] = True
+        return out
+
+    if metric_code in ("cooling_customers", "dormant_customers"):
+        want = ("cooling" if metric_code == "cooling_customers"
+                else "dormant")
+        if not owners:
+            return _paged([])
+        matches = await asm.lifecycle_customers(session, owners, end, want)
+        return _paged(matches)
+
+    # call_followup:窗口通话列表(start desc)+ 期聚合摘要
+    # (逐通话跟进标记复用批次A _followup_exists 太重,留批次C按需再加)
+    total, items = await asm.user_calls_page(
+        session, user_id, start, end, page=page, page_size=page_size
+    )
+    summary_rows = await asm.call_daily_rows(session, start, end,
+                                             user_id=user_id)
+    summary = {col: sum(r[col] for r in summary_rows)
+               for col in ("call_count", "call_seconds",
+                           "answered_call_count", "call_followup_count")}
+    return {"items": items, "total": int(total), "page": page,
+            "page_size": page_size, "summary": summary, "scope": scope,
+            "note": "逐通话跟进标记留批次C;此处为窗口通话列表+期聚合"
+                    "(followup 为接通后24h内有跟进的通话数)"}
+
+
+@router.get("/metric-definitions")
+async def management_metric_definitions(
+    session: SessionDep,
+) -> dict[str, Any]:
+    """指标口径字典 + 当前评分配置(含 pending 维度)+ 三方口径差异说明。
+    config_source: "db"=激活配置 / "default"=未种子回退默认。"""
+    config, source = await asm.load_score_config(session)
+    return {
+        "definitions": METRIC_DEFINITIONS,
+        "score_config": {
+            "version": config.get("version"),
+            "name": config.get("name"),
+            "trial": config.get("trial"),
+            "normalization": config.get("normalization"),
+            "sample_guards": config.get("sample_guards"),
+            "grade_bounds": config.get("grade_bounds"),
+            "dimensions": config.get("dimensions"),
+        },
+        "config_source": source,
+        "caliber_notes": CALIBER_NOTES,
+    }

yunke-server/app/db/models.py

@@ -537,6 +537,18 @@ class Message(Base):
             "ix_message_fetched_at",
             "fetched_at",
         ),
+        # 该回未回决赛圈点查(owner+talker 定位末条消息)在 channel=None
+        # (全平台计数——管理驾驶舱 action_counts 复用)时无渠道前缀条件,
+        # 上面全部以 channel 打头的索引用不上,逐候选退化扫表+filesort:
+        # 2026-09-10 服务器实测 dashboard 34~37s 撞前端 15s 超时
+        # (ECONNABORTED);补无渠道前缀索引后 1.3~1.8s(100 万行在线建
+        # 索引 49s)。「模型+迁移双声明」防 alembic autogenerate 反 DROP。
+        Index(
+            "ix_message_owner_talker_time",
+            "owner_account_id",
+            "talker_id",
+            "timestamp",
+        ),
     )
 
 

yunke-server/app/management/api_assembly.py

@@ -0,0 +1,533 @@
+"""管理 API 组装层(批次B Task B4)——router 六端点共用的重查询与行构造。
+
+拆出 router 的原因:employees/dashboard 的组装(多窗聚合 + 评分 + 异常 +
+对比派生)上百行,放 router 会淹没端点定义;本模块只做数据组装,参数
+校验/HTTP 语义留在 router。
+
+查询纪律(与 analytics.metrics 同):**禁止 asyncio.gather**——单
+AsyncSession 不能并发执行查询,全部顺序 await。重端点不做 N+1:
+period_metrics 每窗一次调用全员;员工循环(评分/异常)是纯函数。
+"""
+from __future__ import annotations
+
+import copy
+import statistics
+from bisect import bisect_right
+
+import sqlalchemy as sa
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.analytics.lifecycle import classify
+from app.db.models import (
+    Customer,
+    EmployeeCallDaily,
+    EmployeeMetricDaily,
+    EmployeeScoreConfig,
+    FirstReplyFact,
+    MsgDailyStats,
+    PhoneCall,
+    Staff,
+)
+from app.management.anomalies import detect_anomalies
+from app.management.employee_metrics import (
+    PeriodMetrics,
+    baseline_window,
+    day_range,
+    percentile,
+    period_metrics,
+    prev_window,
+    team_medians,
+)
+from app.management.metric_definitions import DEFAULT_SCORE_CONFIG
+from app.management.scoring import derive_metrics, score_employee
+from app.storage.employee_metrics import METRIC_VERSION
+from app.storage.staff_summary import account_map
+from app.storage.summary import day_bounds_ms
+
+# 异常权重(anomaly_severity 排序/汇总):critical=2 / warning=1
+SEVERITY_WEIGHT = {"critical": 2, "warning": 1}
+
+# 派生指标中需对「员工派生值」另取中位的键(scoring.team 键=派生指标名;
+# 其余如 fr_p90_ms/active_friends/call_count 直接用 team_medians 输出)
+_DERIVED_MEDIAN_KEYS = ("reply_2h_rate", "reply_24h_rate", "active_share")
+
+
+async def load_score_config(session: AsyncSession) -> tuple[dict, str]:
+    """激活评分配置(DB)→ (config_json, "db");无 active 行 →
+    (DEFAULT_SCORE_CONFIG 深拷贝, "default")——未跑种子的环境也能出分。"""
+    row = (await session.execute(
+        sa.select(EmployeeScoreConfig)
+        .where(EmployeeScoreConfig.status == "active")
+        .order_by(EmployeeScoreConfig.id.desc())
+        .limit(1)
+    )).scalar_one_or_none()
+    if row is not None:
+        return row.config_json, "db"
+    return copy.deepcopy(DEFAULT_SCORE_CONFIG), "default"
+
+
+def team_derived_medians(metrics: dict[str, PeriodMetrics]) -> dict[str, float | None]:
+    """评分用团队中位:PeriodMetrics 字段中位 + 派生率/占比的员工级中位
+    (scoring 要求 team 键=派生指标名,见其模块 docstring)。"""
+    team = dict(team_medians(metrics))
+    for key in _DERIVED_MEDIAN_KEYS:
+        vals = [
+            v for v in (derive_metrics(pm).get(key) for pm in metrics.values())
+            if v is not None
+        ]
+        team[key] = statistics.median(vals) if vals else None
+    return team
+
+
+def score_with_guards(
+    config: dict,
+    cur: PeriodMetrics,
+    baseline: PeriodMetrics | None = None,
+    team: dict[str, float] | None = None,
+    prev: PeriodMetrics | None = None,
+) -> dict:
+    """score_employee + min_days 接线(B2 评审遗留):当前窗天数 <
+    config.sample_guards.min_days → score_status 覆盖 insufficient_sample,
+    total/明细保留展示(按天稀疏的数据不参与考核但可查看)。"""
+    score = score_employee(config, cur, baseline=baseline, team=team, prev=prev)
+    min_days = config.get("sample_guards", {}).get("min_days", 5)
+    if cur.days_with_data < min_days:
+        score["score_status"] = "insufficient_sample"
+    return score
+
+
+async def assemble_employees(
+    session: AsyncSession,
+    config: dict,
+    start_day: int,
+    end_day: int,
+    channel: str | None,
+    *,
+    with_prev: bool = True,
+) -> dict[str, dict]:
+    """全员组装:staff → 当前/基线(/前)窗 period_metrics → 逐员工
+    score_with_guards + detect_anomalies(纯函数循环)。
+
+    dashboard 传 with_prev=False(只需评分+异常,省一次前窗聚合);
+    employees/detail 需要 prev/团队中位时传 True。返回
+    {uid: {name, is_on_job, cur, prev, baseline, score, anomalies,
+           anomaly_count, anomaly_weight}}——过滤/排序/分页由调用方做。
+    """
+    staff_rows = (await session.execute(
+        sa.select(Staff.user_id, Staff.name, Staff.is_on_job)
+    )).all()
+    staff = {uid: (name, onjob) for uid, name, onjob in staff_rows if uid}
+    if not staff:
+        return {}
+
+    n_days = len(day_range(start_day, end_day))
+    cur = await period_metrics(session, start_day, end_day, channel)
+    bs, be = baseline_window(start_day)
+    base = await period_metrics(session, bs, be, channel)
+    prev: dict[str, PeriodMetrics] | None = None
+    team: dict[str, float | None] | None = None
+    if with_prev:
+        ps, pe = prev_window(start_day, end_day)
+        prev = await period_metrics(session, ps, pe, channel)
+        team = team_derived_medians(cur)
+
+    out: dict[str, dict] = {}
+    for uid, (name, onjob) in staff.items():
+        c = cur.get(uid)
+        if c is None:  # 防御:period_metrics 恒含全员,此处不该走到
+            continue
+        b = base.get(uid)
+        p = prev.get(uid) if prev is not None else None
+        score = score_with_guards(config, c, baseline=b, team=team, prev=p)
+        anomalies = detect_anomalies(uid, c, b, n_days=n_days, config=config)
+        out[uid] = {
+            "name": name,
+            "is_on_job": onjob,
+            "cur": c,
+            "prev": p,
+            "baseline": b,
+            "score": score,
+            "anomalies": anomalies,
+            "anomaly_count": len(anomalies),
+            "anomaly_weight": sum(
+                SEVERITY_WEIGHT.get(a["severity"], 0) for a in anomalies
+            ),
+        }
+    return out
+
+
+def _code_to_source(config: dict) -> dict[str, str]:
+    """配置指标 code → 源指标名(spec.metric,无则 code 本身)。
+
+    comparisons 键域统一为源指标名(与 derive_metrics / sections 端点一致,
+    冻结批次C契约):active_friends_band→active_friends、call_band→call_count,
+    其余 code 本身即源名。"""
+    out: dict[str, str] = {}
+    for dim in config.get("dimensions", {}).values():
+        for code, spec in dim.get("metrics", {}).items():
+            out[code] = spec.get("metric", code)
+    return out
+
+
+def build_employee_row(uid: str, data: dict, config: dict) -> dict:
+    """employees 列表行:metrics 全字段 + comparisons 四值(自评分
+    metrics_detail 透传,键映射为源指标名)+ score 摘要 + 异常计数/权重。"""
+    score = data["score"]
+    code_src = _code_to_source(config)
+    return {
+        "user_id": uid,
+        "name": data["name"],
+        "is_on_job": data["is_on_job"],
+        "metrics": data["cur"]._asdict(),
+        "comparisons": {
+            code_src.get(code, code): {
+                "current": d["value"],
+                "prev": d["prev"],
+                "baseline": d["baseline"],
+                "median": d["median"],
+            }
+            for code, d in score["metrics_detail"].items()
+        },
+        "score": {
+            "total_score": score["total_score"],
+            "grade": score["grade"],
+            "score_status": score["score_status"],
+            "trial": score["trial"],
+            "dimensions": {
+                key: {"score": dim["score"], "status": dim["status"]}
+                for key, dim in score["dimensions"].items()
+            },
+        },
+        "anomaly_count": data["anomaly_count"],
+        "anomaly_weight": data["anomaly_weight"],
+    }
+
+
+def derived_comparisons(
+    cur: PeriodMetrics,
+    prev: PeriodMetrics | None,
+    baseline: PeriodMetrics | None,
+    team: dict[str, float | None] | None,
+) -> dict[str, dict]:
+    """四对比(current/prev/baseline/median),派生口径=scoring.derive_metrics
+    ——评分、异常、展示三方同一派生式。"""
+    cv = derive_metrics(cur)
+    pv = derive_metrics(prev) if prev is not None else {}
+    bv = derive_metrics(baseline) if baseline is not None else {}
+    return {
+        key: {
+            "current": cv.get(key),
+            "prev": pv.get(key),
+            "baseline": bv.get(key),
+            "median": team.get(key) if team else None,
+        }
+        for key in cv
+    }
+
+
+async def wide_daily_rows(
+    session: AsyncSession,
+    start_day: int,
+    end_day: int,
+    channel: str | None,
+    user_id: str | None = None,
+) -> list[dict]:
+    """宽表逐日聚合(加性列跨渠道求和;user_id=None 为全员合计)。
+
+    first_reply_p50/p90_ms 是 (day,channel,user) 行内单值不可求和:
+    单员工视图(channel=None 双渠道同日)取当日 cust_threads 较大渠道的
+    值(当日主力渠道,并列取 wechat);全员视图不取用这两列(分位由
+    service_daily_trend 从 fact 精确算)。
+    """
+    conds = [
+        EmployeeMetricDaily.day.between(start_day, end_day),
+        EmployeeMetricDaily.metric_version == METRIC_VERSION,
+    ]
+    if channel is not None:
+        conds.append(EmployeeMetricDaily.channel == channel)
+    if user_id is not None:
+        conds.append(EmployeeMetricDaily.user_id == user_id)
+    rows = (await session.execute(
+        sa.select(
+            EmployeeMetricDaily.day.label("day"),
+            EmployeeMetricDaily.channel.label("ch"),
+            sa.func.sum(EmployeeMetricDaily.msg_sent).label("sent"),
+            sa.func.sum(EmployeeMetricDaily.msg_recv).label("recv"),
+            sa.func.sum(EmployeeMetricDaily.active_friends).label("af"),
+            sa.func.sum(EmployeeMetricDaily.active_rooms).label("ar"),
+            sa.func.sum(EmployeeMetricDaily.cust_threads).label("thr"),
+            sa.func.sum(EmployeeMetricDaily.threads_answered).label("ans"),
+            sa.func.sum(EmployeeMetricDaily.fr_sum_ms).label("frs"),
+            sa.func.sum(EmployeeMetricDaily.new_customer_count).label("nw"),
+            sa.func.sum(EmployeeMetricDaily.cooling_customer_count).label("cool"),
+            sa.func.sum(EmployeeMetricDaily.dormant_customer_count).label("dorm"),
+            sa.func.sum(EmployeeMetricDaily.reactivated_customer_count).label("react"),
+            sa.func.max(EmployeeMetricDaily.first_reply_p50_ms).label("p50"),
+            sa.func.max(EmployeeMetricDaily.first_reply_p90_ms).label("p90"),
+        ).where(*conds).group_by(EmployeeMetricDaily.day, EmployeeMetricDaily.channel)
+    )).all()
+
+    per_day: dict[int, dict] = {}
+
+    def _blank(day: int) -> dict:
+        return {
+            "day": day, "msg_sent": 0, "msg_recv": 0, "active_friends": 0,
+            "active_rooms": 0, "cust_threads": 0, "threads_answered": 0,
+            "fr_sum_ms": 0, "new_customer_count": 0,
+            "cooling_customer_count": 0, "dormant_customer_count": 0,
+            "reactivated_customer_count": 0,
+            "first_reply_p50_ms": None, "first_reply_p90_ms": None,
+            "_pick": (-1, -1),  # 主力渠道追踪 (cust_threads, wechat 加分)
+        }
+
+    for (day, ch, sent, recv, af, ar, thr, ans, frs, nw, cool, dorm,
+         react, p50, p90) in rows:
+        d = per_day.setdefault(day, _blank(day))
+        d["msg_sent"] += int(sent or 0)
+        d["msg_recv"] += int(recv or 0)
+        d["active_friends"] += int(af or 0)
+        d["active_rooms"] += int(ar or 0)
+        d["cust_threads"] += int(thr or 0)
+        d["threads_answered"] += int(ans or 0)
+        d["fr_sum_ms"] += int(frs or 0)
+        d["new_customer_count"] += int(nw or 0)
+        d["cooling_customer_count"] += int(cool or 0)
+        d["dormant_customer_count"] += int(dorm or 0)
+        d["reactivated_customer_count"] += int(react or 0)
+        if user_id is not None:
+            pick = (int(thr or 0), 1 if ch == "wechat" else 0)
+            if pick > d["_pick"]:
+                d["_pick"] = pick
+                d["first_reply_p50_ms"] = p50
+                d["first_reply_p90_ms"] = p90
+
+    out = []
+    for day in sorted(per_day):
+        d = per_day[day]
+        d.pop("_pick", None)
+        out.append(d)
+    return out
+
+
+async def call_daily_rows(
+    session: AsyncSession,
+    start_day: int,
+    end_day: int,
+    user_id: str | None = None,
+) -> list[dict]:
+    """通话小表逐日聚合(恒全渠道——表无渠道维);user_id=None 为全员。"""
+    conds = [EmployeeCallDaily.day.between(start_day, end_day)]
+    if user_id is not None:
+        conds.append(EmployeeCallDaily.user_id == user_id)
+    rows = (await session.execute(
+        sa.select(
+            EmployeeCallDaily.day,
+            sa.func.sum(EmployeeCallDaily.call_count),
+            sa.func.sum(EmployeeCallDaily.call_seconds),
+            sa.func.sum(EmployeeCallDaily.answered_call_count),
+            sa.func.sum(EmployeeCallDaily.call_followup_count),
+        ).where(*conds).group_by(EmployeeCallDaily.day)
+    )).all()
+    return [
+        {
+            "day": day, "call_count": int(cc or 0),
+            "call_seconds": int(cs or 0),
+            "answered_call_count": int(ca or 0),
+            "call_followup_count": int(cf or 0),
+        }
+        for day, cc, cs, ca, cf in rows
+    ]
+
+
+async def service_daily_trend(
+    session: AsyncSession,
+    start_day: int,
+    end_day: int,
+    channel: str | None,
+    threads_by_day: dict[int, int],
+) -> list[dict]:
+    """服务趋势(dashboard 全团队):fact 逐日 (day, fr_ms) 行拉回 Python
+    最近邻秩分位(跨员工合并样本——团队级分位);reply_2h_rate = fact
+    当日 ≤2h 计数 / 宽表当日 cust_threads 合计(分母 0 → None)。
+
+    输出全窗口逐日(无数据日 p50/p90 为 None),threads_by_day 来自
+    wide_daily_rows 的全员 cust_threads 列。
+    """
+    conds = [FirstReplyFact.day.between(start_day, end_day)]
+    if channel is not None:
+        conds.append(FirstReplyFact.channel == channel)
+    rows = (await session.execute(
+        sa.select(FirstReplyFact.day, FirstReplyFact.fr_ms).where(*conds)
+    )).all()
+    by_day: dict[int, list[int]] = {}
+    for day, fr in rows:
+        by_day.setdefault(day, []).append(int(fr))
+    out = []
+    for day in day_range(start_day, end_day):
+        frs = by_day.get(day, [])
+        cnt_2h = sum(1 for f in frs if f <= 7_200_000)
+        denom = threads_by_day.get(day, 0)
+        out.append({
+            "day": day,
+            "fr_p50_ms": percentile(frs, 1, 2),
+            "fr_p90_ms": percentile(frs, 9, 10),
+            "reply_2h_rate": (cnt_2h / denom) if denom else None,
+        })
+    return out
+
+
+async def user_owner_accounts(
+    session: AsyncSession, user_id: str, channel: str | None
+) -> list[str]:
+    """员工在所选渠道下的 owner 账号(channel=None → 两渠道合并)。"""
+    chs = ("wechat", "whatsapp") if channel is None else (channel,)
+    out: list[str] = []
+    for ch in chs:
+        amap = await account_map(session, ch)
+        out.extend(owner for owner, uid in amap.items() if uid == user_id)
+    return out
+
+
+async def lifecycle_customers(
+    session: AsyncSession,
+    owner_accounts: list[str],
+    as_of_day: int,
+    want_state: str,
+) -> list[dict]:
+    """drilldown cooling/dormant:该员工账号归属客户(delete_flag 过滤)+
+    msg_daily_stats friend 行全历史 → lifecycle.classify(as_of=窗口末日),
+    返回状态匹配行 {friend_id, channel, nickname, last_day, state},按 last_day asc
+    (最陈旧在前)、friend_id asc 排序。
+
+    历史按 (channel, peer) 键控、跨 owner 合并——与批次A _lifecycle_daily
+    的 peer 键控口径一致(归属由 Customer.owner_account_id 决定,互动史
+    不随归属走:共享/换归属客户的全部历史都算,否则 KPI 计了而名单丢人)。
+    hist 为 ≤as_of 的历史消息数(时点语义,as_of 之后的消息不虚增沉睡门槛)。"""
+    custs = (await session.execute(
+        sa.select(Customer).where(
+            sa.or_(Customer.delete_flag.is_(None), Customer.delete_flag == 0),
+            Customer.owner_account_id.in_(owner_accounts),
+        )
+    )).scalars().all()
+    if not custs:
+        return []
+    ids = [c.friend_id for c in custs]
+    rows = (await session.execute(
+        sa.select(
+            MsgDailyStats.channel,
+            MsgDailyStats.peer_id,
+            MsgDailyStats.day,
+            MsgDailyStats.send_cnt,
+            MsgDailyStats.recv_cnt,
+        ).where(
+            MsgDailyStats.peer_kind == "friend",
+            MsgDailyStats.peer_id.in_(ids),
+        )
+    )).all()
+    hist: dict[tuple[str, str], dict[int, int]] = {}
+    for ch, peer, day, snd, rcv in rows:
+        dm = hist.setdefault((ch, peer), {})
+        dm[day] = dm.get(day, 0) + int(snd or 0) + int(rcv or 0)
+
+    matches: list[dict] = []
+    for c in custs:
+        dm = hist.get((c.channel, c.friend_id))
+        if not dm:
+            continue
+        days_list = sorted(dm)
+        idx = bisect_right(days_list, as_of_day) - 1
+        if idx < 0:
+            continue  # 窗口末日之前从未互动
+        last = days_list[idx]
+        prev_d = days_list[idx - 1] if idx > 0 else None
+        hist_msgs = sum(dm[d] for d in days_list[: idx + 1])
+        state = classify(days_list[0], last, prev_d, as_of_day, hist_msgs)
+        if state == want_state:
+            matches.append({
+                "friend_id": c.friend_id,
+                "channel": c.channel,
+                "nickname": c.friend_nickname or c.friend_remark or c.friend_id,
+                "last_day": last,
+                "state": state,
+            })
+    matches.sort(key=lambda m: (m["last_day"], m["friend_id"]))
+    return matches
+
+
+async def fr_fact_rows(
+    session: AsyncSession,
+    owner_accounts: list[str],
+    channel: str | None,
+    start_day: int,
+    end_day: int,
+    *,
+    page: int,
+    page_size: int,
+) -> tuple[int, list[dict]]:
+    """drilldown 首响分位:该员工账号窗内 fact 逐串证据行,fr_ms desc
+    (同值按日/串末时刻 desc 决胜)分页。chat_hint 给出会话定位参数
+    (owner+talker 直达聊天记录)。返回 (total, items)。"""
+    conds = [
+        FirstReplyFact.day.between(start_day, end_day),
+        FirstReplyFact.owner_account_id.in_(owner_accounts),
+    ]
+    if channel is not None:
+        conds.append(FirstReplyFact.channel == channel)
+    total = (await session.execute(
+        sa.select(sa.func.count()).select_from(FirstReplyFact).where(*conds)
+    )).scalar_one()
+    rows = (await session.execute(
+        sa.select(FirstReplyFact).where(*conds)
+        .order_by(FirstReplyFact.fr_ms.desc(), FirstReplyFact.day.desc(),
+                  FirstReplyFact.thread_end_ts.desc())
+        .offset((page - 1) * page_size).limit(page_size)
+    )).scalars().all()
+    items = [{
+        "day": f.day,
+        "channel": f.channel,
+        "owner_account_id": f.owner_account_id,
+        "peer_id": f.peer_id,
+        "thread_end_ts": f.thread_end_ts,
+        "reply_ts": f.reply_ts,
+        "fr_ms": f.fr_ms,
+        "chat_hint": {"owner_account_id": f.owner_account_id,
+                      "talker_id": f.peer_id},
+    } for f in rows]
+    return int(total), items
+
+
+async def user_calls_page(
+    session: AsyncSession,
+    user_id: str,
+    start_day: int,
+    end_day: int,
+    *,
+    page: int,
+    page_size: int,
+) -> tuple[int, list[dict]]:
+    """drilldown 通话跟进:该员工窗内通话行(start_call_time desc,
+    call_id desc 决胜)分页。返回 (total, items)。"""
+    lo, _ = day_bounds_ms(start_day)
+    _, hi = day_bounds_ms(end_day)  # 末日次日 00:00(左闭右开上界)
+    conds = [
+        PhoneCall.user_id == user_id,
+        PhoneCall.start_call_time.is_not(None),
+        PhoneCall.start_call_time >= lo,
+        PhoneCall.start_call_time < hi,
+    ]
+    total = (await session.execute(
+        sa.select(sa.func.count()).select_from(PhoneCall).where(*conds)
+    )).scalar_one()
+    rows = (await session.execute(
+        sa.select(PhoneCall).where(*conds)
+        .order_by(PhoneCall.start_call_time.desc(), PhoneCall.call_id.desc())
+        .offset((page - 1) * page_size).limit(page_size)
+    )).scalars().all()
+    items = [{
+        "call_id": c.call_id,
+        "channel": c.channel,
+        "call_number": c.call_number,
+        "start_call_time": c.start_call_time,
+        "call_duration": c.call_duration,
+    } for c in rows]
+    return int(total), items

yunke-server/app/management/employee_metrics.py

@@ -88,12 +88,13 @@ def baseline_window(start: int) -> tuple[int, int]:
     return _to_key(bs), _to_key(be)
 
 
-def _percentile(vals: list[int], q_num: int, q_den: int) -> int | None:
+def percentile(vals: list[int], q_num: int, q_den: int) -> int | None:
     """最近邻秩分位 ceil(q·n) 的样本值,q=q_num/q_den(1/2、9/10)。
 
-    整数算术 rank=(q_num*n + q_den - 1)//q_den 对正整数 n 恒落在 [1,n]
+    公有供同包 api_assembly(B4 服务趋势)复用;整数算术
-    (与 math.ceil(q·n) 等价,与批次A _percentile 同口径);空列表→None
+    rank=(q_num*n + q_den - 1)//q_den 对正整数 n 恒落在 [1,n]
-    (与 0 严格区分)。
+    (与 math.ceil(q·n) 等价,与批次A storage 层 _percentile 同口径——
+    后者为不同层单独保留);空列表→None(与 0 严格区分)。
     """
     if not vals:
         return None
@@ -246,8 +247,8 @@ async def period_metrics(
         if uid is not None and uid in target:
             fr_by_user.setdefault(uid, []).append(int(fr))
     for uid, frs in fr_by_user.items():
-        acc[uid]["fr_p50_ms"] = _percentile(frs, 1, 2)
+        acc[uid]["fr_p50_ms"] = percentile(frs, 1, 2)
-        acc[uid]["fr_p90_ms"] = _percentile(frs, 9, 10)
+        acc[uid]["fr_p90_ms"] = percentile(frs, 9, 10)
         # 2h/24h 计数与分位同源同窗——回复率分子分母口径一致
         acc[uid]["reply_2h_count"] = sum(1 for fr in frs if fr <= 7_200_000)
         acc[uid]["reply_24h_count"] = sum(1 for fr in frs if fr <= 86_400_000)

yunke-server/app/management/metric_definitions.py

@@ -108,6 +108,8 @@ def validate_config(config: dict) -> list[str]:
     - grade_bounds 须含 A/B/C/D 且严格降序
     - 指标 code 跨维度不得重复:metrics_detail 为扁平 dict,
       同名 code 会相互覆盖(后写胜出)
+    - 源指标名跨维度不得重复:employees 行 comparisons 按源名建键
+      (api_assembly._code_to_source),两个 code 指向同一源名会静默覆盖
     """
     problems: list[str] = []
     dims = config.get("dimensions", {})
@@ -125,6 +127,7 @@ def validate_config(config: dict) -> list[str]:
             f"(当前 A={gb['A']} B={gb['B']} C={gb['C']} D={gb['D']})"
         )
     seen_codes: dict[str, str] = {}
+    seen_sources: dict[str, str] = {}
     for key, dim in dims.items():
         if dim.get("status") == "pending_data":
             continue
@@ -133,6 +136,13 @@ def validate_config(config: dict) -> list[str]:
                 problems.append(f"指标 code 重复定义于多维度: {code}")
             seen_codes[code] = key
             src = spec.get("metric", code)
+            if src in seen_sources:
+                problems.append(
+                    f"{key}.{code} 与 {seen_sources[src]} 指向同一源指标 {src}"
+                    f"(comparisons 键域将相互覆盖)"
+                )
+            else:
+                seen_sources[src] = f"{key}.{code}"
             if src not in METRIC_DEFINITIONS:
                 problems.append(f"{key}.{code} 引用未定义指标 {src}")
             mtype = spec.get("type")

yunke-server/app/storage/repos.py

@@ -803,8 +803,13 @@ async def upsert_media(
 
     dialect = await _dialect_name(session)
     pk_cols = _pk_col_names(Media)
+    # 只更新实际插入的列(2026-09-10 生产修复):此前取全部表列,server_default
+    # 列(fetched_at/updated_at)不在 values 里 → MySQL 编译出
+    # ``new.fetched_at`` 悬空引用 → 每夜 call_recordings 步骤 1054 静默
+    # 失败,录音本地化停更多日。
     update_cols = [
-        c.name for c in Media.__table__.columns if c.name not in pk_cols
+        c.name for c in Media.__table__.columns
+        if c.name not in pk_cols and c.name in values
     ]
     media_cols = Media.__table__.c
 
@@ -812,7 +817,8 @@ async def upsert_media(
         """Map each updated column to its conflict-set expression.
 
         Volatile download artifacts use ``COALESCE(incoming, existing)``; every
-        other column is refreshed directly from the incoming row.
+        other column is refreshed directly from the incoming row. ``updated_at``
+        刷新为 now()(冲突重下时反映最新一次落盘)。
         """
         set_: dict[str, Any] = {}
         for name in update_cols:
@@ -820,6 +826,7 @@ async def upsert_media(
                 set_[name] = sa.func.coalesce(other_cols[name], media_cols[name])
             else:
                 set_[name] = other_cols[name]
+        set_["updated_at"] = sa.func.now()
         return set_
 
     if dialect == "sqlite":

yunke-server/app/sync/scheduler.py

@@ -602,41 +602,65 @@ class SyncScheduler:
                 if not bash:
                     logger.error("page sync 'full': bash not found on PATH")
                     return
-                commands: list[list[str]] = [[bash, "scripts/full_sync_all.sh"]]
+                commands = [([bash, "scripts/full_sync_all.sh"], 22 * 3600)]  # 22h 上限:防极端情况拖进次日相位(全量常态 10-20h)
             elif kind == "messages":
-                # 先刷客户列表(最近沟通时间是云客列表的实时排序键,friends 快照
+                # 2026-09-10 调度根治(用户报「员工列表时间差 2 天」):
-                # 滞后会让本地排序与云客第一页完全不同,2026-08-20),再抓全部四类
+                # ① 序列头部刷员工账号表(accounts ~1min)——员工列表「数据
-                # 消息增量(2026-08-21 全接入:水位增量后单对话 1 页,可承受);
+                #    更新时间/最新消息时间」从此最多滞后 4h(此前只在每日
-                # 末尾追加员工朋友圈浅扫(2026-08-25,max-pages 3 即每员工最多
+                #    full 刷,长任务挤掉 full 就停更);
-                # 3 页,新帖通常落第一页;全量翻页由每日 full 走 full_sync_all.sh)
+                # ② 消息实体只扫**近 24h 活跃**对话(--active-window-hours;
+                #    从未扫过的不受限)——全对话遍历(WA 9,357 个×~3.5s≈9h)
+                #    曾把序列拖到 15h+,超过 4h 间隔→与 02:00 full 背靠背
+                #    互相挤死;陈旧对话无新消息,每日 full 兜底;
+                # ③ 每命令超时保险丝(超时 kill 下轮补,增量幂等)。
+                # friends 仍先刷(最近沟通时间是排序键+活跃窗口的判定源)。
+                msg_entities = [
+                    ("accounts", None, 900),
+                    ("wa-accounts", None, 900),
+                    ("friends", None, 2400),
+                    ("wa-friends", None, 2400),
+                    ("messages", 24, 4800),
+                    ("wa-messages", 24, 4800),
+                    # chatroom-stats 全窗(~1min):刷 chat_group.last_chat_time——
+                    # 群消息活跃窗的判定源。不加则窗口用的是昨晚 full 的快照,
+                    # 「昨天安静、今天突然活跃」的群会被窗口漏到明晚(2026-09-10)
+                    ("chatroom-stats", None, 1800),
+                    ("group-messages", 24, 4800),
+                    ("wa-group-messages", 24, 2400),
+                    ("moments", None, 2400),
+                ]
                 commands = [
-                    [sys.executable, "scripts/scrape_via_page.py", "--entity", "friends"],
+                    (
-                    [sys.executable, "scripts/scrape_via_page.py", "--entity", "wa-friends"],
-                ] + [
                         [
                             sys.executable,
                             "scripts/scrape_via_page.py",
                             "--entity",
-                        e,
+                            entity,
+                        ]
+                        + (
+                            [
                                 "--max-conversations",
                                 "99999",
+                                "--active-window-hours",
+                                str(window),
                             ]
-                    for e in ("messages", "wa-messages", "group-messages", "wa-group-messages")
+                            if window
-                ] + [
+                            else (
-                    [
+                                ["--max-pages", "3"]
-                        sys.executable,
+                                if entity == "moments"
-                        "scripts/scrape_via_page.py",
+                                else []
-                        "--entity",
+                            )
-                        "moments",
+                        ),
-                        "--max-pages",
+                        timeout,
-                        "3",
+                    )
-                    ]
+                    for entity, window, timeout in msg_entities
                 ]
             elif kind == "full-history":
                 # 每周全量对齐(周日 05:00):强制全量翻历史,对齐增量模式抓不到的
                 # 撤回/编辑消息 + 彻底消除 lastChatTime 滞后窗口(2026-08-21)
                 entities = ["messages", "group-messages", "wa-messages", "wa-group-messages"]
                 commands = [
+                    (
                         [
                             sys.executable,
                             "scripts/scrape_via_page.py",
@@ -645,7 +669,10 @@ class SyncScheduler:
                             "--max-conversations",
                             "99999",
                             "--full-history",
-                    ]
+                        ],
+                        6 * 3600,  # 单实体 6h 上限(2026-09-10:防周日的全历史
+                        # 对齐拖进周一,把 02:00 full 又挤掉——同类事故根治)
+                    )
                     for e in entities
                 ]
             else:
@@ -653,8 +680,8 @@ class SyncScheduler:
                 return
 
             rc = 0
-            for args in commands:
+            for args, timeout in commands:
-                rc = await self._page_subprocess(args) or rc
+                rc = await self._page_subprocess(args, timeout=timeout) or rc
                 if rc != 0:
                     logger.warning("page sync %s: command failed rc=%s, skipping rest", kind, rc)
                     break
@@ -674,25 +701,27 @@ class SyncScheduler:
             print(line, flush=True)
 
     async def _analytics_tick(self) -> None:
-        """4h 分析链(stat_daily_staff 滚动3天 + 敏感词增量)——异常只记日志不断链。
+        """4h 分析链(staff 滚动3天 + 敏感词增量 + 管理域滚动)——异常只记日志不断链。
 
-        纯 DB 无浏览器子进程,不抢 ``_page_lock``(DB 写毫秒级;
+        两段独立事务:段1 staff+敏感词(既有);段2 管理域(fact 近3天活跃会话
-        ``max_instances=1`` 防自身重叠即可)。与夜间 full_sync 的
+        + 宽表/通话 滚动3天,批次F 2026-09-10)。段2 失败只回滚自身,不牵连
-        staff-daily-stats 步骤重叠时,两侧 DELETE+INSERT 在重叠 PK 范围上
+        段1 已提交结果(v2 Task12:指标失败不中断主分析链)。纯 DB 无浏览器
-        可能死锁/锁等待——非致命:tick 吞异常下轮重试,夜间脚本无 set -e
+        子进程,不抢 ``_page_lock``;``max_instances=1`` 防自身重叠即可。与
-        次日自愈(UNIQUE/PK 幂等只保证串行提交下不重复,不消锁竞争)。
+        夜间 full_sync 的汇总/管理步重叠时,两侧 DELETE+INSERT 在重叠 PK
+        范围可能锁等待——非致命:tick 吞异常下轮重试,夜间脚本幂等自愈。
 
         时区:``day_key`` 内部钉死 Asia/Shanghai,喂 UTC epoch
-        (``time.time()*1000``)即无歧义——用 epoch 而非 naive datetime
+        (``time.time()*1000``)即无歧义。
-        只为读法直接,数学上两者经本地时区往返等价。
         """
+        from app.storage.summary import day_key
+
+        today = day_key(int(time.time() * 1000))
+        # ── 段1:staff 滚动 + 敏感词增量(既有,语义原样) ──
         try:
             async with self._session_maker() as session:
                 from app.analytics.sensitive import scanner
                 from app.storage.staff_summary import recompute_days, rolling_days
-                from app.storage.summary import day_key
 
-                today = day_key(int(time.time() * 1000))
                 n = await recompute_days(session, rolling_days(today, 3))
                 scan = await scanner.run_incremental(session)
                 await session.commit()
@@ -703,8 +732,39 @@ class SyncScheduler:
         except Exception:  # noqa: BLE001 — scheduler MUST NOT crash
             logger.exception("analytics tick failed")
 
-    async def _page_subprocess(self, args: list[str]) -> int:
+        # ── 段2:管理域滚动(fact 活跃会话 + 宽表/通话,当日+滚动3天) ──
-        """启动页面子进程并等待结束;继承环境 + 补 DB_URL/PYTHONIOENCODING。"""
+        try:
+            async with self._session_maker() as session:
+                from app.storage.employee_metrics import (
+                    recompute_call_days,
+                    recompute_metric_days,
+                )
+                from app.storage.first_reply_facts import (
+                    pairs_active_in_days,
+                    recompute_pairs,
+                )
+                from app.storage.staff_summary import rolling_days
+
+                rd = rolling_days(today, 3)
+                pairs = await pairs_active_in_days(session, rd)
+                f = await recompute_pairs(session, pairs)
+                w = await recompute_metric_days(session, rd)
+                c = await recompute_call_days(session, rd)
+                await session.commit()
+            logger.info(
+                "[analytics-tick] mgmt fact_pairs=%s wide_rows=%s call_rows=%s",
+                f, w, c,
+            )
+        except Exception:  # noqa: BLE001
+            logger.exception("management metrics tick failed")
+
+    async def _page_subprocess(self, args: list[str], *, timeout: float | None = None) -> int:
+        """启动页面子进程并等待结束;继承环境 + 补 DB_URL/PYTHONIOENCODING。
+
+        ``timeout``(秒,2026-09-10 调度根治保险丝):超时 kill 子进程返回
+        非零——上游 break 跳过本序列剩余命令,增量幂等下轮自动补,防止
+        单命令拖死整个调度相位(4h 序列曾因此 15h+ 与 full 互相挤死)。
+        """
         env = {**os.environ, "PYTHONIOENCODING": "utf-8"}
         settings = get_settings()
         if settings.db_url and "DB_URL" not in env:
@@ -714,7 +774,18 @@ class SyncScheduler:
             cwd=str(REPO_ROOT),
             env=env,
         )
+        if timeout is None:
             return await proc.wait()
+        try:
+            return await asyncio.wait_for(proc.wait(), timeout)
+        except asyncio.TimeoutError:
+            logger.error(
+                "page sync subprocess timeout after %.0fs (killed): %s",
+                timeout, " ".join(args[-6:]),
+            )
+            proc.kill()
+            await proc.wait()
+            return 124  # 超时语义(同 shell timeout 惯例)
 
     async def _safe_run(
         self, entity: str, *, log: bool = True

yunke-server/migrations/versions/d8e9f0a1b2c3_message_owner_talker_time_index.py

@@ -0,0 +1,41 @@
+"""message 补无渠道前缀索引 (owner_account_id, talker_id, timestamp)
+
+Revision ID: d8e9f0a1b2c3
+Revises: c9d0e1f2a3b4
+Create Date: 2026-09-10
+
+背景:该回未回决赛圈点查在 channel=None(管理驾驶舱 action_counts)时
+无渠道前缀条件,现有索引全部以 channel 打头用不上——服务器 100 万行
+实测 dashboard 34~37s 撞前端 15s 超时;索引落地后 1.3~1.8s。
+幂等:sa.inspect 先查,存在即跳过(服务器已先行手工建同名索引,本迁移
+兜底对齐 schema 版本)。「模型+迁移双声明」防 autogenerate 反 DROP。
+"""
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = "d8e9f0a1b2c3"
+down_revision: str | Sequence[str] | None = "c9d0e1f2a3b4"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+_IDX = "ix_message_owner_talker_time"
+
+
+def _has_index(bind) -> bool:
+    insp = sa.inspect(bind)
+    if not insp.has_table("message"):
+        return False
+    return _IDX in {ix["name"] for ix in insp.get_indexes("message")}
+
+
+def upgrade() -> None:
+    if not _has_index(op.get_bind()):
+        op.create_index(_IDX, "message",
+                         ["owner_account_id", "talker_id", "timestamp"])
+
+
+def downgrade() -> None:
+    if _has_index(op.get_bind()):
+        op.drop_index(_IDX, table_name="message")

yunke-server/scripts/backfill_group_members.py

@@ -1,12 +1,15 @@
 #!/usr/bin/env python
-"""从群消息派生 group_member（发言者=成员）。
+"""从群消息派生 group_member（发言者=成员）+ customer 兜底补全昵称/头像。
 
 云客 API 不单独给群成员列表（chatroom payload 的 memberIds 我们抓不到，
-2026-08-20 确认），但群消息的 talker 就是发言成员的 wxid、sender_name 是其
+2026-08-20 确认），但群消息的 talker 就是发言成员的 wxid、sender_name/
-群昵称——368k 群消息足够派生出高质量成员表（覆盖所有发过言的成员）。
+sender_head_url 是其群昵称/头像——群消息足够派生出高质量成员表（覆盖
+所有发过言的成员）。昵称/头像取该成员在群里**最新一条**消息的值。
 
-昵称取该成员在群里最新一条消息的 sender_name（SQLite 的 max()+裸列行为，
+未发言的成员（被拉进群从没说话）从 customer 表兜底：member_id=friend_id
-取 max(timestamp) 同行的值）。幂等可重跑；建议在 group-messages 之后执行。
+命中本司好友时补好友昵称/头像（2026-09-10 群详情成员墙）。
+
+幂等可重跑；建议在 group-messages 之后执行（full_sync_all.sh 8b 已挂）。
 
 用法:
     cd yunke-server && DB_URL="sqlite+aiosqlite:///./smoke.db" \
@@ -26,13 +29,14 @@ from app.storage.repos import _upsert_one
 logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
 log = logging.getLogger("backfill_group_members")
 
-# row_number() 窗口取 timestamp 最新一行的 sender_name：MySQL 8 的
+# row_number() 窗口取 timestamp 最新一行的 sender_name/sender_head_url：
-# only_full_group_by 拒绝 SQLite 式「max()+裸列」(1055)，窗口写法两库通用
+# MySQL 8 的 only_full_group_by 拒绝 SQLite 式「max()+裸列」(1055)，窗口
-# 且语义严格（最新一条的昵称），不依赖方言碰巧行为
+# 写法两库通用且语义严格（最新一条的昵称/头像），不依赖方言碰巧行为
 SQL = sa_text("""
-SELECT room_id, talker_id, sender_name, last_ts, msg_count
+SELECT room_id, talker_id, sender_name, sender_head_url, last_ts, msg_count
 FROM (
-  SELECT room_id, talker_id, sender_name, timestamp AS last_ts,
+  SELECT room_id, talker_id, sender_name, sender_head_url,
+         timestamp AS last_ts,
          count(*) OVER (PARTITION BY room_id, talker_id) AS msg_count,
          row_number() OVER (
            PARTITION BY room_id, talker_id ORDER BY timestamp DESC
@@ -44,6 +48,17 @@ FROM (
 WHERE rn = 1
 """)
 
+# 未发言成员兜底:member_id 命中 customer(本司好友)时补 NULL 的昵称/头像。
+# customer 全局一人一行(PK=friend_id),join 不放大行数;COALESCE 只补不清。
+CUSTOMER_FALLBACK = sa_text("""
+UPDATE group_member gm
+JOIN customer c ON c.friend_id = gm.member_id AND c.channel = gm.channel
+SET gm.nickname = COALESCE(gm.nickname, c.friend_nickname),
+    gm.avatar = COALESCE(gm.avatar, c.head_image_url)
+WHERE gm.channel = 'wechat'
+  AND (gm.nickname IS NULL OR gm.avatar IS NULL)
+""")
+
 
 async def main() -> None:
     async with async_engine.connect() as conn:
@@ -51,12 +66,13 @@ async def main() -> None:
     log.info(f"派生出 {len(rows)} 个 (群, 成员) 对")
 
     async with async_session_maker() as session:
-        for room_id, talker_id, sender_name, last_ts, msg_count in rows:
+        for room_id, talker_id, sender_name, head_url, last_ts, msg_count in rows:
             await _upsert_one(session, GroupMember, {
                 "channel": "wechat",
                 "room_id": room_id,
                 "member_id": talker_id,
                 "nickname": sender_name,
+                "avatar": head_url,
                 # raw_json 附加派生统计，抽屉可见
                 "raw_json": {
                     "derived_from": "group_messages",
@@ -65,7 +81,13 @@ async def main() -> None:
                 },
             })
         await session.commit()
-    log.info(f"DONE: group_member upserted={len(rows)}")
+
+    # 兜底补未发言成员(独立事务,幂等)
+    async with async_engine.begin() as conn:
+        res = await conn.execute(CUSTOMER_FALLBACK)
+        log.info(f"customer 兜底补全 {res.rowcount} 行昵称/头像")
+
+    log.info("DONE: group_member upsert 完成")
 
 
 if __name__ == "__main__":

yunke-server/scripts/full_sync_all.sh

@@ -59,6 +59,15 @@ $PY -m app.sync.cli daily-stats
 # A1 员工指标读路径依赖此表,2026-09-04)
 echo "$(date) --- 12/12 Staff-daily-stats rebuild ---"
 $PY -m app.sync.cli staff-daily-stats
+# 13:首响事实表全量重建(管理域,跨日精确串;批次A)——会话发现读
+#     msg_daily_stats(fact 行直算读 message),故须在 11 步后;与 11/12
+#     同为夜间自愈链(绕过钩子的写入由全量重算纠正)
+echo "$(date) --- 13/14 First-reply-facts rebuild ---"
+$PY -m app.sync.cli first-reply-facts
+# 14:管理宽表+通话小表全量重建(驾驶舱/员工页读路径;串类列与 fact 同
+#     算法各自直算,放 fact 后保持派生链顺序语义)
+echo "$(date) --- 14/14 Employee-metrics rebuild ---"
+$PY -m app.sync.cli employee-metrics
 
 echo "=============================================="
 echo "$(date) === FULL RE-SYNC COMPLETE ==="
@@ -84,6 +93,9 @@ TABLES = [
     ("wechat messages", "SELECT COUNT(*) FROM message WHERE channel='wechat'"),
     ("whatsapp messages", "SELECT COUNT(*) FROM message WHERE channel='whatsapp'"),
     ("daily stats rows", "SELECT COUNT(*) FROM msg_daily_stats"),
+    ("first reply facts", "SELECT COUNT(*) FROM first_reply_fact"),
+    ("employee metric rows", "SELECT COUNT(*) FROM employee_metric_daily"),
+    ("employee call rows", "SELECT COUNT(*) FROM employee_call_daily"),
     ("voice calls", "SELECT COUNT(*) FROM phone_call WHERE channel IN ('voice_call','wa_voice_call')"),
     ("voice clips", "SELECT COUNT(*) FROM voice_clip"),
     ("moments posts", "SELECT COUNT(*) FROM moments_post"),

yunke-server/scripts/scrape_via_page.py

@@ -514,7 +514,50 @@ async def paginate_chats(fetch_page, end_ms: int, max_pages: int = 200, sleep=No
         await sleep(1)
 
 
-async def _discover_conversations(channel: str, voice_channel: str) -> list[tuple[str, str]]:
+# ---------------------------------------------------------------------------
+# 空对话/空群「已扫」记忆(2026-09-10 同步审计):从未有消息的对话(纯语音/
+# 未聊过客户,WA 实测 2,468 个)水位恒 0,每轮都被当 unscanned 全量翻史
+# (~2.6s/个)——时长黑洞本体。拉到 0 条有效消息即记 sync_state 扫描标记;
+# 发现层排除「已扫空且不活跃」的——客户一旦开始发消息(last_chat_time 进
+# 活跃窗)自动回到访问集;周日 full_history 强制全访问兜底(云客补历史)。
+# ---------------------------------------------------------------------------
+
+
+async def _mark_scan_empty(kind: str, scope: str) -> None:
+    """记录「该对话/群已扫且无消息」。UPDATE 0 行则 INSERT(sync_state 无唯一键)。"""
+    import time as _t
+
+    from app.db.base import async_engine
+    from sqlalchemy import text as sa_text
+
+    now_ms = int(_t.time() * 1000)
+    async with async_engine.begin() as conn:
+        res = await conn.execute(sa_text(
+            "UPDATE sync_state SET last_timestamp = :ts "
+            "WHERE entity_type = :et AND scope_id = :sid"
+        ), {"et": kind, "sid": scope, "ts": now_ms})
+        if not res.rowcount:
+            await conn.execute(sa_text(
+                "INSERT INTO sync_state (entity_type, channel, scope_id, last_timestamp) "
+                "VALUES (:et, NULL, :sid, :ts)"
+            ), {"et": kind, "sid": scope, "ts": now_ms})
+
+
+async def _load_scan_empty(kind: str) -> set[str]:
+    from app.db.base import async_engine
+    from sqlalchemy import text as sa_text
+
+    async with async_engine.connect() as conn:
+        rows = (await conn.execute(sa_text(
+            "SELECT scope_id FROM sync_state WHERE entity_type = :et"
+        ), {"et": kind})).fetchall()
+    return {r[0] for r in rows if r[0]}
+
+
+async def _discover_conversations(
+    channel: str, voice_channel: str, active_since_ms: int | None = None,
+    *, exclude_scanned_empty: bool = True,
+) -> list[tuple[str, str]]:
     """Conversation-pair discovery for the message scrapers (wechat + WA).
 
     Sources (union, dedup):
@@ -527,6 +570,11 @@ async def _discover_conversations(channel: str, voice_channel: str) -> list[tupl
 
     Order: pairs with no messages yet FIRST (new coverage survives an
     interruption), then the rest by customer last_chat_time DESC.
+
+    ``active_since_ms``(2026-09-10 调度根治):4h 增量模式传「now-24h」——
+    **已扫过**的对话仅保留 last_chat_time 在窗内的(活跃的),陈旧对话本轮
+    跳过(没有新消息,每日全量兜底);**从未扫过**的(fresh)无论新旧全保
+    (新覆盖优先原则不变)。None=不过滤(全量模式)。
     """
     import json as _json
 
@@ -536,14 +584,14 @@ async def _discover_conversations(channel: str, voice_channel: str) -> list[tupl
     async with async_engine.connect() as conn:
         cust = (
             await conn.execute(sa_text(
-                "SELECT owner_account_id, friend_id FROM customer "
+                "SELECT owner_account_id, friend_id, last_chat_time FROM customer "
                 "WHERE channel=:ch AND owner_account_id IS NOT NULL AND friend_id IS NOT NULL "
                 "ORDER BY last_chat_time DESC"
             ), {"ch": channel})
         ).fetchall()
         voice = (
             await conn.execute(sa_text(
-                "SELECT raw_json FROM phone_call WHERE channel=:vc"
+                "SELECT raw_json, start_call_time FROM phone_call WHERE channel=:vc"
             ), {"vc": voice_channel})
         ).fetchall()
         with_msgs = (
@@ -554,20 +602,45 @@ async def _discover_conversations(channel: str, voice_channel: str) -> list[tupl
         ).fetchall()
 
     have = {(r[0], r[1]) for r in with_msgs}
+    scanned_empty = (
+        await _load_scan_empty(f"{channel}_conv_empty") if exclude_scanned_empty else set()
+    )
     seen: set[tuple[str, str]] = set()
     fresh: list[tuple[str, str]] = []
     known: list[tuple[str, str]] = []
 
-    def _add(key: tuple[str, str]) -> None:
+    def _active(last_ts: int | None) -> bool:
+        """窗口判定:未开窗口恒真;有窗时 last_ts 缺失(从未聊过)也保(fresh)。"""
+        if active_since_ms is None:
+            return True
+        return last_ts is None or last_ts >= active_since_ms
+
+    def _add(key: tuple[str, str], last_ts: int | None) -> None:
         if key in seen:
             return
         seen.add(key)
-        (fresh if key not in have else known).append(key)
+        if key not in have:
+            # 从未扫过:新覆盖优先,不受窗口限制。但「已扫空且不活跃」的除外
+            # (2026-09-10:WA 2,468 个无消息对话每轮全翻史的黑洞)——一旦
+            # 活跃(last_chat_time 进窗)自动回到访问集;full_history 强制全访。
+            scope = f"{key[0]}:{key[1]}"
+            if (
+                exclude_scanned_empty
+                and scope in scanned_empty
+                and active_since_ms is not None
+                and not _active(last_ts)
+            ):
+                return
+            fresh.append(key)
+        elif _active(last_ts):
+            known.append(key)
+        # else: 已扫过且陈旧 → 本轮跳过
 
-    for owner, friend in cust:
+    for owner, friend, last_ts in cust:
-        _add((owner, friend))
+        _add((owner, friend), last_ts)
     voice_only = 0
-    for (rj,) in voice:
+    cust_keys = {(r[0], r[1]) for r in cust}
+    for rj, call_ts in voice:
         try:
             d = _json.loads(rj)
         except (TypeError, ValueError):
@@ -576,13 +649,15 @@ async def _discover_conversations(channel: str, voice_channel: str) -> list[tupl
         if not owner or not talker or str(talker).endswith("@chatroom"):
             continue
         before = len(seen)
-        _add((str(owner), str(talker)))
+        _add((str(owner), str(talker)), call_ts)
-        if len(seen) > before and (str(owner), str(talker)) not in cust:
+        if len(seen) > before and (str(owner), str(talker)) not in cust_keys:
             voice_only += 1
 
+    skipped = len(cust) + voice_only - len(fresh) - len(known)
     logger.info(
         f"discovery[{channel}]: {len(cust)} customer pairs + {voice_only} voice-only pairs, "
-        f"{len(fresh)} unscanned (first) / {len(known)} already have messages"
+        f"{len(fresh)} unscanned (first) / {len(known)} active in window"
+        + (f" / {skipped} stale skipped" if active_since_ms is not None else f" / {len(known)} already have messages")
     )
     return fresh + known
 
@@ -635,7 +710,7 @@ def _page_min_ts(data: dict) -> int:
     return min(ts_list) if ts_list else 0
 
 
-async def scrape_messages(cookie_str: str, max_conversations: int = 100, full_history: bool = False):
+async def scrape_messages(cookie_str: str, max_conversations: int = 100, full_history: bool = False, active_window_hours: int | None = None):
     """Scrape wechat messages via browser fetch POST /wechatweb/msg/chats.
 
     **增量同步(默认)**:每对话水位 = 本地 max(timestamp);请求带
@@ -648,7 +723,15 @@ async def scrape_messages(cookie_str: str, max_conversations: int = 100, full_hi
     from app.db.base import async_session_maker
     from app.storage.repos import upsert_messages
 
-    conversations = await _discover_conversations("wechat", "voice_call")
+    conversations = await _discover_conversations(
+        "wechat", "voice_call",
+        active_since_ms=(
+            int((__import__("time").time() - active_window_hours * 3600) * 1000)
+            if active_window_hours else None
+        ),
+        # full_history(周日对齐)强制全访问:云客可能补出历史消息
+        exclude_scanned_empty=not full_history,
+    )
     watermarks = await _conversation_watermarks("wechat")
     cust_activity = await _customer_activity("wechat")
 
@@ -737,6 +820,9 @@ async def scrape_messages(cookie_str: str, max_conversations: int = 100, full_hi
                             ts = int(str(ts_raw)) if ts_raw else None
                         except (ValueError, TypeError):
                             ts = None
+                        # 增量模式过滤边界旧消息(云客 start inclusive,2026-09-10)
+                        if watermark and ts is not None and ts <= watermark:
+                            continue
                         records.append({
                             "msg_id": str(row.get("msgId") or row.get("msgSvrId") or row.get("id") or f"{owner_id}:{friend_id}:{i}:{len(records)}"),
                             "channel": "wechat",
@@ -786,6 +872,8 @@ async def scrape_messages(cookie_str: str, max_conversations: int = 100, full_hi
                 continue
 
             total_fetched += len(records)
+            if not records:
+                await _mark_scan_empty("wechat_conv_empty", f"{owner_id}:{friend_id}")
             total_pages += pages
 
             if records:
@@ -853,7 +941,7 @@ def _normalize_group_message(row: dict, owner_id: str, room_id: str) -> dict | N
     }
 
 
-async def scrape_group_messages(cookie_str: str, max_groups: int = 500, full_history: bool = False):
+async def scrape_group_messages(cookie_str: str, max_groups: int = 500, full_history: bool = False, active_window_hours: int | None = None):
     """Scrape WeChat GROUP chat messages via browser fetch POST /wechatweb/msg/chats.
 
     Same endpoint as 1:1 chats — pass the room id as ``friendId`` (confirmed
@@ -868,12 +956,17 @@ async def scrape_group_messages(cookie_str: str, max_groups: int = 500, full_his
     from app.storage.repos import upsert_messages
     from sqlalchemy import text as sa_text
 
+    active_since_ms = (
+        int((__import__("time").time() - active_window_hours * 3600) * 1000)
+        if active_window_hours else None
+    )
     async with async_engine.connect() as conn:
         result = await conn.execute(sa_text(
             "SELECT owner_account_id, room_id FROM chat_group "
             "WHERE channel='wechat' AND owner_account_id IS NOT NULL "
+            "AND (:t IS NULL OR last_chat_time IS NULL OR last_chat_time >= :t) "
             "ORDER BY last_chat_time DESC"
-        ))
+        ), {"t": active_since_ms})
         groups = [(row[0], row[1]) for row in result.fetchall()]
 
     room_wms = await _room_watermarks()
@@ -934,6 +1027,9 @@ async def scrape_group_messages(cookie_str: str, max_groups: int = 500, full_his
                                     continue
                                 rec = _normalize_group_message(row, owner_id, room_id)
                                 if rec is not None:
+                                    # 增量模式过滤边界旧消息(同 1:1,2026-09-10)
+                                    if watermark and (rec.get("timestamp") or 0) <= watermark:
+                                        continue
                                     records.append(rec)
 
                     except Exception as e:
@@ -1683,9 +1779,12 @@ def _normalize_chatroom_stat_row(row: dict, owner_wxid: str) -> dict:
     return rec
 
 
-async def _chatroom_rows(page, dept: str, start_str: str, end_str: str, max_pages: int = 100):
+async def _chatroom_rows(
-    """翻完 getChatroomList 一个窗,返回全部行(list)。"""
+    page, dept: str, start_str: str, end_str: str, max_pages: int = 100
+) -> tuple[list[dict], int]:
+    """翻完 getChatroomList 一个窗,返回 (全部行, 云客声明 total)。"""
     rows_all: list[dict] = []
+    declared = 0
     page_num = 1
     while page_num <= max_pages:
         body = await _browser_fetch(
@@ -1698,13 +1797,13 @@ async def _chatroom_rows(page, dept: str, start_str: str, end_str: str, max_page
         data = body.get("data") or {}
         rows = data.get("overviews") or []
         rows_all.extend(rows)
-        total = data.get("totalCount") or 0
+        declared = data.get("totalCount") or declared
-        logger.info(f"  chatroom-list page {page_num}: {len(rows)} rows (total {total})")
+        logger.info(f"  chatroom-list page {page_num}: {len(rows)} rows (total {declared})")
-        if not rows or page_num * 50 >= (total or 0):
+        if not rows or page_num * 50 >= (declared or 0):
             break
         page_num += 1
         await asyncio.sleep(1.2)
-    return rows_all
+    return rows_all, declared or 0
 
 
 async def _owner_alias_map(conn):
@@ -1755,9 +1854,11 @@ async def scrape_chatroom_stats(cookie_str: str, day: str | None = None):
 
     group_recs: list[dict] = []
     stats_recs: list[dict] = []
+    declared = 0
     async with PageScraper(cookie_str) as scraper:
         page = await _open_fetch_page(scraper)
-        for row in await _chatroom_rows(page, dept, start_str, end_str):
+        rows, declared = await _chatroom_rows(page, dept, start_str, end_str)
+        for row in rows:
             rid = row.get("chatRoomId")
             if not rid:
                 continue
@@ -1781,9 +1882,41 @@ async def scrape_chatroom_stats(cookie_str: str, day: str | None = None):
         await _upsert_all(upsert_chat_group, group_recs)
     if stats_recs:
         await _upsert_all(upsert_chat_group_member_stats, stats_recs)
+
+    # 对账(2026-09-10,全窗模式):删掉本地有而云客名单里没有的 chat_group 行
+    # ——friend_list/es 时代的残留行(owner 组合已不在 getChatroomList 返回,
+    # 实测多 148 行致页脚与云客不一致)。名单取满(>=声明 total)才删,防短页
+    # 误删;只动 wechat(WA 群另一来源);GroupMember 按 room 共享不动。
+    pruned = 0
+    if day_key is None and group_recs and declared and len(group_recs) >= declared:
+        import sqlalchemy as sa
+
+        from app.db.base import async_session_maker
+        from app.db.models import ChatGroup
+
+        keep = {(r["owner_account_id"], r["room_id"]) for r in group_recs}
+        async with async_session_maker() as session:
+            local = (await session.execute(
+                sa.select(ChatGroup.owner_account_id, ChatGroup.room_id)
+                .where(ChatGroup.channel == "wechat")
+            )).all()
+            stale = [(o, r) for (o, r) in local if (o, r) not in keep]
+            for owner, room in stale:
+                # 逐行删(差集常态 0~几行;不用 tuple IN——asyncmy 对其参数
+                # 形态挑剔,实测 TypeError)
+                await session.execute(
+                    sa.delete(ChatGroup).where(
+                        ChatGroup.channel == "wechat",
+                        ChatGroup.owner_account_id == owner,
+                        ChatGroup.room_id == room,
+                    )
+                )
+            pruned = len(stale)
+            await session.commit()
+
     logger.info(
         f"DONE: chatroom-stats day={day or '全窗'} groups={len(group_recs)} "
-        f"stats_rows={len(stats_recs)}"
+        f"stats_rows={len(stats_recs)} pruned={pruned}"
     )
     return len(group_recs), len(stats_recs)
 
@@ -2143,7 +2276,7 @@ async def scrape_voice_clips(cookie_str: str, max_employees: int = 200, page_siz
 # ---------------------------------------------------------------------------
 
 
-async def scrape_wa_messages(cookie_str: str, max_conversations: int = 100, full_history: bool = False):
+async def scrape_wa_messages(cookie_str: str, max_conversations: int = 100, full_history: bool = False, active_window_hours: int | None = None):
     """Scrape WhatsApp chat records via browser fetch POST
     /qqweb/WhatsAppUser/chatRecords (JSON body {uid, friendUid, start, end}).
 
@@ -2158,7 +2291,14 @@ async def scrape_wa_messages(cookie_str: str, max_conversations: int = 100, full
     from app.scraper.whatsapp import _is_wa_divider, _normalize_whatsapp_message
     from app.storage.repos import upsert_messages
 
-    conversations = await _discover_conversations("whatsapp", "wa_voice_call")
+    conversations = await _discover_conversations(
+        "whatsapp", "wa_voice_call",
+        active_since_ms=(
+            int((__import__("time").time() - active_window_hours * 3600) * 1000)
+            if active_window_hours else None
+        ),
+        exclude_scanned_empty=not full_history,
+    )
     watermarks = await _conversation_watermarks("whatsapp")
     cust_activity = await _customer_activity("whatsapp")
 
@@ -2204,7 +2344,14 @@ async def scrape_wa_messages(cookie_str: str, max_conversations: int = 100, full
                     msgs = data.get("messages") or []
                     for row in msgs:
                         if isinstance(row, dict) and not _is_wa_divider(row):
-                            records.append(_normalize_whatsapp_message(row))
+                            rec = _normalize_whatsapp_message(row)
+                            # 增量模式过滤边界旧消息:云客 start 参数是 inclusive
+                            # (返回 ts>=start 含边界),不过滤则每对话白拉数条已
+                            # 入库旧消息(2026-09-10 实测一夜 fetched 53,682 仅
+                            # 321 条真新,99% 白写)。
+                            if watermark and (rec.get("timestamp") or 0) <= watermark:
+                                continue
+                            records.append(rec)
                     if not data.get("hasLast"):
                         break
                     # 增量触底停:翻到已同步区
@@ -2235,6 +2382,8 @@ async def scrape_wa_messages(cookie_str: str, max_conversations: int = 100, full
                 continue
 
             total_fetched += len(records)
+            if not records:
+                await _mark_scan_empty("whatsapp_conv_empty", f"{uid}:{friend_uid}")
             if records:
                 # upsert_messages 收整列表(逐条版 _upsert_all 会把 dict 迭代成
                 # key 字符串 → TypeError, 2026-08-19 WA 阶段首条即崩的根因)
@@ -2281,7 +2430,7 @@ def _normalize_wa_group_message(record: dict) -> dict:
     return rec
 
 
-async def scrape_wa_group_messages(cookie_str: str, max_groups: int = 500, full_history: bool = False):
+async def scrape_wa_group_messages(cookie_str: str, max_groups: int = 500, full_history: bool = False, active_window_hours: int | None = None):
     """WA 群消息:浏览器 fetch chatRecords,friendUid 直接传 @g.us 群 id
     (真机确认 2026-08-20,与微信群的 msg/chats+roomId 同套路)。
 
@@ -2295,11 +2444,16 @@ async def scrape_wa_group_messages(cookie_str: str, max_groups: int = 500, full_
     from app.storage.repos import upsert_messages
     from sqlalchemy import text as sa_text
 
+    active_since_ms = (
+        int((__import__("time").time() - active_window_hours * 3600) * 1000)
+        if active_window_hours else None
+    )
     async with async_engine.connect() as conn:
         result = await conn.execute(sa_text(
             "SELECT owner_account_id, room_id FROM chat_group "
             "WHERE channel='whatsapp' AND owner_account_id IS NOT NULL "
-        ))
+            "AND (:t IS NULL OR last_chat_time IS NULL OR last_chat_time >= :t)"
+        ), {"t": active_since_ms})
         groups = [(row[0], row[1]) for row in result.fetchall()]
 
     room_wms = await _room_watermarks()
@@ -2343,7 +2497,11 @@ async def scrape_wa_group_messages(cookie_str: str, max_groups: int = 500, full_
                             for row in rows:
                                 if not isinstance(row, dict) or _is_wa_divider(row):
                                     continue
-                                records.append(_normalize_wa_group_message(row))
+                                rec = _normalize_wa_group_message(row)
+                                # 增量模式过滤边界旧消息(同 1:1,2026-09-10)
+                                if watermark and (rec.get("timestamp") or 0) <= watermark:
+                                    continue
+                                records.append(rec)
 
                     except Exception as e:
                         logger.warning(f"  [{i+1}] {str(owner_id)[:18]}:{str(room_id)[:18]} failed: {e}")
@@ -2473,6 +2631,8 @@ async def main():
     parser.add_argument("--max-pages", type=int, default=200, help="列表翻页上限 (accounts/wa-accounts/wa-friends/voice-calls/moments)")
     parser.add_argument("--batch-size", type=int, default=50, help="媒体下载批次大小 (media)")
     parser.add_argument("--full-history", action="store_true", help="消息类实体强制全量翻历史(默认增量水位)")
+    parser.add_argument("--active-window-hours", type=int, default=None,
+                        help="只扫近 N 小时活跃的对话(4h 增量模式传 24;未扫过的对话不受限;默认不过滤=全量发现)")
     parser.add_argument("--day", type=str, default=None, help="chatroom-stats:单日窗 YYYY-MM-DD(落按天进出表);缺省=全窗档案基线")
     args = parser.parse_args()
 
@@ -2496,9 +2656,9 @@ async def _dispatch_entity(args, cookie: str) -> None:
     elif args.entity == "groups":
         await scrape_groups(cookie, args.max_employees)
     elif args.entity == "messages":
-        await scrape_messages(cookie, args.max_conversations, args.full_history)
+        await scrape_messages(cookie, args.max_conversations, args.full_history, args.active_window_hours)
     elif args.entity == "group-messages":
-        await scrape_group_messages(cookie, args.max_conversations, args.full_history)
+        await scrape_group_messages(cookie, args.max_conversations, args.full_history, args.active_window_hours)
     elif args.entity == "accounts":
         await scrape_accounts(cookie, args.max_pages)
     elif args.entity == "wa-accounts":
@@ -2514,9 +2674,9 @@ async def _dispatch_entity(args, cookie: str) -> None:
     elif args.entity == "voice-clips":
         await scrape_voice_clips(cookie, args.max_employees)
     elif args.entity == "wa-messages":
-        await scrape_wa_messages(cookie, args.max_conversations, args.full_history)
+        await scrape_wa_messages(cookie, args.max_conversations, args.full_history, args.active_window_hours)
     elif args.entity == "wa-group-messages":
-        await scrape_wa_group_messages(cookie, args.max_conversations, args.full_history)
+        await scrape_wa_group_messages(cookie, args.max_conversations, args.full_history, args.active_window_hours)
     elif args.entity == "moments":
         await scrape_moments(cookie, args.max_pages)
     elif args.entity == "media":

yunke-server/tests/test_api_groups.py

@@ -64,17 +64,19 @@ async def _seed(session: AsyncSession) -> None:
 
 
 async def test_default_list_returns_all_ordered_desc(make_client):
-    """No filters -> 3 groups, ordered by ``last_chat_time desc`` (nulls last)."""
+    """No filters -> 3 groups;微信排序=owner 二进制字符串升序分组+room_id
+    升序(云客群统计同款,2026-09-10 终判:区分大小写,大写排小写前)。
+    owner 序:wa_owner_1 < wx_owner_1 < wx_owner_2 → [wa_room_x, room_a, room_b]。
+    """
     client = await make_client(_seed)
     r = await client.get("/api/groups")
     assert r.status_code == 200
     body = r.json()
     assert body["total"] == 3
-    # 2000, 1000, null -> [room_a, room_b, wa_room_x]
     assert [it["room_id"] for it in body["items"]] == [
+        "wa_room_x@s.whatsapp.net",
         "room_a@chatroom",
         "room_b@chatroom",
-        "wa_room_x@s.whatsapp.net",
     ]
     for key in (
         "room_id",

yunke-server/tests/test_management_api.py

@@ -0,0 +1,744 @@
+"""管理 API 六只读端点判别测试(批次B Task B4)。
+
+覆盖:
+- 参数校验:422(缺 start / 跨度>366 / 日历非法 / drilldown 白名单外 /
+  page_size>100)、404(employees/{ghost}、drilldown 员工不存在);
+- dashboard 各段齐全与关键数值(kpis/communication_trend/service_trend/
+  lifecycle/dimension_summary/anomalies/action_summary/data_as_of/
+  metric_version);批次D 补:prev_kpis 环比块+msg_delta(含前窗零数据
+  →None)与 anomalies employee_name enrich(详情端点不带);
+- employees:默认分页 20/total/critical 优先默认排序/channel=wechat 时
+  whatsapp-only 员工消失/keyword/status/min_days 不足→insufficient_sample;
+- detail:账号清单+metrics 全字段+score 完整明细+anomalies+prev/baseline;
+- sections:五段各有 trend 数组与四对比;
+- drilldown:p90 分页与 fr_ms desc/unreplied 按 owner 过滤/cooling-dormant
+  生命周期判定(已删客户剔除)/call_followup 列表+期聚合摘要;
+- metric-definitions:trial 标记/口径说明/config_source 回退。
+"""
+import copy
+import datetime as dt
+from zoneinfo import ZoneInfo
+
+from app.db.models import (
+    Customer,
+    EmployeeCallDaily,
+    EmployeeMetricDaily,
+    EmployeeScoreConfig,
+    FirstReplyFact,
+    Message,
+    MsgDailyStats,
+    PhoneCall,
+    Staff,
+    WechatAccount,
+    WhatsappAccount,
+)
+from app.management.metric_definitions import DEFAULT_SCORE_CONFIG
+
+_SH = ZoneInfo("Asia/Shanghai")
+
+START, END = 20260901, 20260905  # 当前窗 5 天(min_days=5 恰好够)
+
+
+def _ts(*args) -> int:
+    return int(dt.datetime(*args, tzinfo=_SH).timestamp() * 1000)
+
+
+def _mday(day, *, channel="wechat", user_id="u1", metric_version="v1", **kw):
+    cols = {
+        "msg_sent": 0, "msg_recv": 0, "active_friends": 0, "active_rooms": 0,
+        "cust_threads": 0, "threads_answered": 0, "fr_sum_ms": 0,
+        "new_customer_count": 0, "cooling_customer_count": 0,
+        "dormant_customer_count": 0, "reactivated_customer_count": 0,
+        "data_complete": True,
+    }
+    cols.update(kw)
+    return EmployeeMetricDaily(
+        day=day, channel=channel, user_id=user_id,
+        metric_version=metric_version, **cols
+    )
+
+
+def _fact(fr_ms, *, channel="wechat", owner="wx1", peer="p1", day=20260901, i=0):
+    end = _ts(day // 10000, day // 100 % 100, day % 100, 10, 0) + i * 60_000
+    return FirstReplyFact(
+        channel=channel, owner_account_id=owner, peer_id=peer,
+        thread_end_ts=end, reply_ts=end + fr_ms,
+        reply_msg_id=f"{owner}-{peer}-m{i}", day=day, fr_ms=fr_ms,
+    )
+
+
+async def _seed_common(s):
+    """三员工全量种子:u1(微信,2 warning)/u2(双渠道,1 critical+1 warning)/
+    u3(仅 WhatsApp,无异常)——支撑 dashboard/employees/detail/sections/
+    drilldown 全部判据。"""
+    for uid, name, onjob in (("u1", "张三", True), ("u2", "李四", True),
+                             ("u3", "王五", False)):
+        s.add(Staff(user_id=uid, name=name, is_on_job=onjob))
+    s.add(WechatAccount(wx_id="wx1", user_id="u1", nick_name="张三的微信",
+                        user_name="张三"))
+    s.add(WechatAccount(wx_id="wx2", user_id="u2"))
+    s.add(WhatsappAccount(uid="wa2", user_id="u2"))
+    s.add(WhatsappAccount(uid="wa3", user_id="u3"))
+
+    # ---- 当前窗宽表(0901-0905)----
+    for d in range(1, 6):
+        s.add(_mday(20260900 + d, user_id="u1", msg_sent=1, cust_threads=2,
+                    threads_answered=2, fr_sum_ms=240_000, active_friends=3,
+                    active_rooms=1, cooling_customer_count=2,
+                    dormant_customer_count=1,
+                    first_reply_p50_ms=110_000, first_reply_p90_ms=220_000))
+        s.add(_mday(20260900 + d, user_id="u2", msg_sent=10, msg_recv=10,
+                    cust_threads=2, threads_answered=2, fr_sum_ms=1_200_000,
+                    active_friends=4, cooling_customer_count=1,
+                    reactivated_customer_count=1))
+        s.add(_mday(20260900 + d, channel="whatsapp", user_id="u3",
+                    msg_sent=5, msg_recv=5, cust_threads=1, active_friends=1))
+    # ---- 基线窗宽表(0827-0831,u1 高日均触发 activity_drop)----
+    for d in range(27, 32):
+        s.add(_mday(20260800 + d, user_id="u1", msg_sent=14, msg_recv=14))
+        s.add(_mday(20260800 + d, user_id="u2", msg_sent=5, msg_recv=5))
+
+    # ---- fact:当前窗(u1 120s warning / u2 600s critical)+ 基线 60s ----
+    s.add(_fact(120_000, peer="pA", day=20260901, i=0))
+    s.add(_fact(120_000, peer="pB", day=20260902, i=1))
+    s.add(_fact(600_000, owner="wx2", peer="pC", day=20260901, i=2))
+    s.add(_fact(600_000, owner="wx2", peer="pD", day=20260902, i=3))
+    for owner, peer, day, i in (("wx1", "pA", 20260827, 10),
+                                ("wx1", "pB", 20260828, 11),
+                                ("wx2", "pC", 20260827, 12),
+                                ("wx2", "pD", 20260828, 13)):
+        s.add(_fact(60_000, owner=owner, peer=peer, day=day, i=i))
+
+    # ---- msg_daily_stats:活跃客户 distinct + data_as_of + 未回候选 ----
+    s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
+                        peer_kind="friend", peer_id="p1", day=20260901,
+                        send_cnt=0, recv_cnt=1, last_ts=_ts(2026, 9, 1, 10, 0),
+                        last_is_send=False))
+    s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
+                        peer_kind="friend", peer_id="p2", day=20260902,
+                        send_cnt=1, recv_cnt=0, last_ts=_ts(2026, 9, 2, 10, 0),
+                        last_is_send=True))
+    s.add(MsgDailyStats(channel="wechat", owner_account_id="wx2",
+                        peer_kind="friend", peer_id="p3", day=20260901,
+                        send_cnt=2, recv_cnt=0, last_ts=_ts(2026, 9, 1, 11, 0),
+                        last_is_send=True))
+    s.add(MsgDailyStats(channel="whatsapp", owner_account_id="wa3",
+                        peer_kind="friend", peer_id="p4", day=20260903,
+                        send_cnt=1, recv_cnt=0, last_ts=_ts(2026, 9, 3, 9, 0),
+                        last_is_send=True))
+    # drilldown cooling/dormant 客户互动史(全历史,窗外):
+    # f1 末次 0801(gap 35, hist 12)→ dormant;f2 末次 0825(gap 11)→ cooling
+    for day, n in ((20260701, 6), (20260801, 6)):
+        s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
+                            peer_kind="friend", peer_id="f1", day=day,
+                            send_cnt=n, recv_cnt=0,
+                            last_ts=_ts(day // 10000, day // 100 % 100,
+                                        day % 100, 10, 0),
+                            last_is_send=True))
+    for day in (20260801, 20260825):
+        s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
+                            peer_kind="friend", peer_id="f2", day=day,
+                            send_cnt=2, recv_cnt=2,
+                            last_ts=_ts(2026, 8, day % 100, 11, 0),
+                            last_is_send=True))
+
+    # ---- 客户档案(f9 已删,须被 drilldown 剔除)----
+    s.add(Customer(friend_id="f1", channel="wechat", owner_account_id="wx1",
+                   friend_nickname="客户一", user_id="u1", delete_flag=0))
+    s.add(Customer(friend_id="f2", channel="wechat", owner_account_id="wx1",
+                   friend_nickname="客户二", user_id="u1", delete_flag=0))
+    s.add(Customer(friend_id="f9", channel="wechat", owner_account_id="wx1",
+                   friend_nickname="已删客户", user_id="u1", delete_flag=1))
+
+    # ---- 未回候选 p1 的尾部消息(unreplied 决赛圈点查)----
+    s.add(Message(msg_id="m-p1", channel="wechat", owner_account_id="wx1",
+                  talker_id="p1", is_send=False, type="text", text="在吗",
+                  timestamp=_ts(2026, 9, 1, 10, 0)))
+
+    # ---- 通话 ----
+    s.add(EmployeeCallDaily(day=20260901, user_id="u1", call_count=2,
+                            call_seconds=100, answered_call_count=1,
+                            call_followup_count=1))
+    s.add(EmployeeCallDaily(day=20260902, user_id="u2", call_count=1,
+                            call_seconds=60, answered_call_count=1,
+                            call_followup_count=0))
+    s.add(PhoneCall(call_id="c1", channel="voice_call", user_id="u1",
+                    start_call_time=_ts(2026, 9, 1, 15, 0), call_duration=120,
+                    call_number="13800000001"))
+    s.add(PhoneCall(call_id="c2", channel="voice_call", user_id="u1",
+                    start_call_time=_ts(2026, 9, 2, 15, 0), call_duration=0,
+                    call_number="13800000002"))
+    await s.commit()
+
+
+# ---------------------------------------------------------------- 参数与错误
+
+
+async def test_dashboard_missing_start_422(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/dashboard", params={"end": END})
+    assert r.status_code == 422
+
+
+async def test_dashboard_span_and_calendar_422(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/dashboard",
+                         params={"start": 20250101, "end": 20261231})
+    assert r.status_code == 422
+    r = await client.get("/api/management/dashboard",
+                         params={"start": 20260230, "end": 20260905})
+    assert r.status_code == 422  # 日历非法(2 月 30 日)
+    r = await client.get("/api/management/dashboard",
+                         params={"start": 20260906, "end": 20260901})
+    assert r.status_code == 422  # start > end
+
+
+async def test_drilldown_unknown_metric_422(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/u1/drilldown",
+                         params={"metric_code": "bogus",
+                                 "start": START, "end": END})
+    assert r.status_code == 422
+    assert "unknown metric_code" in r.json()["detail"]
+
+
+async def test_employees_page_size_over_100_422(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"start": START, "end": END,
+                                 "page_size": 101})
+    assert r.status_code == 422
+
+
+async def test_employee_detail_404(make_client):
+    async def seed(s):
+        await s.commit()
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/ghost",
+                         params={"start": START, "end": END})
+    assert r.status_code == 404
+
+
+async def test_drilldown_employee_404(make_client):
+    async def seed(s):
+        await s.commit()
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/ghost/drilldown",
+                         params={"metric_code": "unreplied",
+                                 "start": START, "end": END})
+    assert r.status_code == 404
+
+
+# ---------------------------------------------------------------- dashboard
+
+
+async def test_dashboard_structure_and_kpis(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/dashboard",
+                         params={"channel": "all", "start": START, "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    for key in ("scope", "data_as_of", "metric_version", "kpis",
+                "communication_trend", "service_trend", "lifecycle",
+                "dimension_summary", "anomalies", "action_summary",
+                "config_source", "caliber_notes"):
+        assert key in body, key
+    assert body["metric_version"] == "v1"
+    assert body["config_source"] == "default"
+    assert body["scope"] == {"channel": "all", "start": START, "end": END,
+                             "compare": "previous"}
+    assert body["data_as_of"] == _ts(2026, 9, 3, 9, 0)
+
+    k = body["kpis"]
+    # 活跃客户=PM distinct 求和(u1:2 + u2:1 + u3:1)
+    assert k["active_customers"] == 4
+    assert k["active_employees"] == 3
+    assert k["msg_total"] == 155  # u1 5 + u2 100 + u3 50
+    assert k["cust_threads"] == 25  # 10 + 10 + 5
+    assert k["threads_answered"] == 20  # 10 + 10 + 0
+    assert k["call_count"] == 3
+    assert k["call_seconds"] == 160
+    assert k["answered_call"] == 2
+    # 期末存量:u1 cooling2/dormant1 + u2 cooling1;reactivated 期内求和 u2 5
+    assert body["lifecycle"] == {"new": 0, "cooling": 3, "dormant": 1,
+                                 "reactivated": 5}
+    assert k["lifecycle"] == body["lifecycle"]
+
+    # 前窗环比(批次D):prev 窗 0827-0831 与基线窗种子重叠——
+    # u1(14+14)×5 + u2(5+5)×5 = 190;宽表无 active_friends/串列 → 0
+    pk = body["prev_kpis"]
+    assert set(pk) == {"active_customers", "active_employees",
+                       "msg_total", "cust_threads"}
+    assert pk == {"active_customers": 0, "active_employees": 2,
+                  "msg_total": 190, "cust_threads": 0}
+    assert body["msg_delta"] == round((155 - 190) / 190, 3)  # -0.184
+
+    # 趋势逐日 5 点;0901 = u1(1)+u2(20)+u3(10) 消息,宽表 active 合计 8,通话 2
+    trend = body["communication_trend"]
+    assert [t["day"] for t in trend] == [20260901 + i for i in range(5)]
+    assert trend[0]["msg_total"] == 31
+    assert trend[0]["active_customers"] == 8
+    assert trend[0]["call_cnt"] == 2
+    assert trend[1]["call_cnt"] == 1
+    assert trend[4] == {"day": 20260905, "msg_total": 31,
+                        "active_customers": 8, "call_cnt": 0}
+
+    # 服务趋势:0901 fact [120k, 600k] → p50=120k/p90=600k;
+    # reply_2h_rate = 2/5(两串均 ≤2h——600s=10min / 宽表当日串 5)
+    st = {t["day"]: t for t in body["service_trend"]}
+    assert st[20260901]["fr_p50_ms"] == 120_000
+    assert st[20260901]["fr_p90_ms"] == 600_000
+    assert st[20260901]["reply_2h_rate"] == 0.4
+    assert st[20260903]["fr_p50_ms"] is None  # 无 fact 日
+    assert st[20260903]["reply_2h_rate"] == 0.0  # 分母有串、分子 0
+
+    # 维度摘要:5 维全员计数,总数=员工数 3
+    dims = body["dimension_summary"]
+    assert set(dims) == {"customer", "service", "action", "workload", "risk"}
+    for d in dims.values():
+        assert d["scored_count"] + d["insufficient_count"] + d["pending_count"] == 3
+        assert "avg_score" in d
+
+    # 异常:critical 在前(u2),warning 其后按 affected_count desc;
+    # dashboard 卡片 enrich employee_name(批次D,前端跳员工详情用)
+    anoms = body["anomalies"]
+    assert anoms[0]["severity"] == "critical"
+    assert anoms[0]["employee_user_id"] == "u2"
+    assert anoms[0]["employee_name"] == "李四"
+    assert all(a["severity"] == "critical" for a in anoms[:1])
+    assert all(a["severity"] == "warning" for a in anoms[1:])
+    assert all(a["employee_name"] == "张三" for a in anoms[1:])
+
+    assert body["action_summary"] == {"unreplied_2h": 1, "churn_real_30d": 0,
+                                      "sensitive_pending": 0}
+
+
+async def test_dashboard_prev_zero_no_delta(make_client):
+    """前窗无数据(whatsapp 视图前窗零宽表)→ prev_kpis 四键全 0、
+    msg_delta None(prev=0 不算环比,None 而非 0/负∞)。"""
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/dashboard",
+                         params={"channel": "whatsapp", "start": START,
+                                 "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["kpis"]["msg_total"] == 50  # 仅 u3 的 whatsapp 宽表
+    assert body["prev_kpis"] == {"active_customers": 0,
+                                 "active_employees": 0, "msg_total": 0,
+                                 "cust_threads": 0}
+    assert body["msg_delta"] is None
+
+
+# ---------------------------------------------------------------- employees
+
+
+async def test_employees_default_sort_and_paging(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"channel": "all", "start": START, "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["total"] == 3
+    assert body["page"] == 1
+    assert body["page_size"] == 20
+    assert body["metric_version"] == "v1"
+    assert body["config_source"] == "default"
+    assert len(body["rows"]) == 3
+
+    # 默认 anomaly_severity 排序:含 critical 的 u2 在最前
+    # (u2=1 critical——基线无串样本率不可算,rate 规则不触发;u1=2 warning)
+    ids = [row["user_id"] for row in body["rows"]]
+    assert ids == ["u2", "u1", "u3"]
+    u2, u1, u3 = body["rows"]
+    assert u2["anomaly_count"] == 1 and u2["anomaly_weight"] == 2
+    assert u1["anomaly_count"] == 2 and u1["anomaly_weight"] == 2
+    assert u3["anomaly_count"] == 0 and u3["anomaly_weight"] == 0
+
+    # 行结构:metrics 全字段 / comparisons 四值 / score 摘要
+    assert u1["name"] == "张三" and u1["is_on_job"] is True
+    assert u1["metrics"]["cust_threads"] == 10
+    assert u1["metrics"]["end_active_friends"] == 3
+    # M3:comparisons 键域=源指标名(与 sections 端点一致;band 配置 code
+    # 映射为其 spec.metric——active_friends/call_count,不出现 *_band)
+    assert set(u1["comparisons"]) >= {
+        "active_share", "reply_2h_rate", "reply_24h_rate", "fr_p90_ms",
+        "active_friends", "call_count"}
+    assert "active_friends_band" not in u1["comparisons"]
+    assert "call_band" not in u1["comparisons"]
+    for c in u1["comparisons"].values():
+        assert set(c) == {"current", "prev", "baseline", "median"}
+    assert u1["comparisons"]["fr_p90_ms"]["current"] == 120_000
+    assert u1["comparisons"]["fr_p90_ms"]["baseline"] == 60_000
+    assert set(u1["score"]["dimensions"]) == {
+        "customer", "service", "action", "workload", "risk"}
+    for d in u1["score"]["dimensions"].values():
+        assert set(d) == {"score", "status"}
+    assert u1["score"]["trial"] is True
+    assert u1["score"]["score_status"] == "scored"  # 5 天数据 ≥ min_days
+
+
+async def test_employees_channel_filter(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"channel": "wechat", "start": START,
+                                 "end": END})
+    ids = [row["user_id"] for row in r.json()["rows"]]
+    assert ids == ["u2", "u1"]  # u3 仅 WhatsApp,wechat 视图消失
+    r = await client.get("/api/management/employees",
+                         params={"channel": "whatsapp", "start": START,
+                                 "end": END})
+    ids = [row["user_id"] for row in r.json()["rows"]]
+    assert ids == ["u2", "u3"]  # u1 无 WA 账号
+
+
+async def test_employees_keyword(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"start": START, "end": END, "keyword": "张"})
+    assert [row["user_id"] for row in r.json()["rows"]] == ["u1"]
+    r = await client.get("/api/management/employees",
+                         params={"start": START, "end": END, "keyword": "U3"})
+    assert [row["user_id"] for row in r.json()["rows"]] == ["u3"]
+
+
+async def test_employees_status_filter(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"start": START, "end": END,
+                                 "status": "on_job"})
+    assert [row["user_id"] for row in r.json()["rows"]] == ["u2", "u1"]
+    r = await client.get("/api/management/employees",
+                         params={"start": START, "end": END,
+                                 "status": "offline"})
+    assert [row["user_id"] for row in r.json()["rows"]] == ["u3"]
+
+
+async def test_employees_min_days_insufficient(make_client):
+    """B2 评审遗留接线:days_with_data < min_days → score_status 覆盖
+    insufficient_sample,但可评明细(total_score)保留展示。"""
+
+    async def seed(s):
+        s.add(Staff(user_id="u9", name="赵九", is_on_job=True))
+        s.add(WechatAccount(wx_id="wx9", user_id="u9"))
+        # 仅 2 天宽表数据(< min_days=5),但串样本 30 ≥ min_threads 可评分
+        for d in (1, 2):
+            s.add(_mday(20260900 + d, user_id="u9", cust_threads=15,
+                        threads_answered=15, fr_sum_ms=900_000,
+                        active_friends=10))
+        s.add(_fact(60_000, owner="wx9", peer="q1", day=20260901, i=0))
+        s.add(_fact(60_000, owner="wx9", peer="q2", day=20260902, i=1))
+        for i in range(6):  # 6 个 distinct peer → workload band 可评
+            s.add(MsgDailyStats(channel="wechat", owner_account_id="wx9",
+                                peer_kind="friend", peer_id=f"q{i}",
+                                day=20260901, send_cnt=1, recv_cnt=0,
+                                last_ts=_ts(2026, 9, 1, 12, 0),
+                                last_is_send=True))
+        await s.commit()
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"start": START, "end": END})
+    assert r.status_code == 200
+    row = r.json()["rows"][0]
+    assert row["user_id"] == "u9"
+    assert row["metrics"]["days_with_data"] == 2
+    assert row["score"]["score_status"] == "insufficient_sample"
+    assert row["score"]["total_score"] is not None  # 明细保留展示
+
+
+async def test_employees_db_score_config_guard(make_client):
+    """config_source=db 路径:激活配置的 min_days=9 生效——u1 五天数据
+    在默认配置(min_days=5)下 scored,在 DB 配置下翻为 insufficient_sample。"""
+
+    async def seed(s):
+        await _seed_common(s)
+        cfg = copy.deepcopy(DEFAULT_SCORE_CONFIG)
+        cfg["version"] = "v1-test"
+        cfg["name"] = "评审测试配置"
+        cfg["sample_guards"]["min_days"] = 9
+        s.add(EmployeeScoreConfig(version="v1-test", name="评审测试配置",
+                                  status="active", config_json=cfg,
+                                  created_by="test"))
+        await s.commit()
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees",
+                         params={"channel": "all", "start": START,
+                                 "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["config_source"] == "db"
+    u1 = next(row for row in body["rows"] if row["user_id"] == "u1")
+    assert u1["metrics"]["days_with_data"] == 5
+    assert u1["score"]["score_status"] == "insufficient_sample"  # 5 < 9
+    assert u1["score"]["total_score"] is not None
+
+
+# ---------------------------------------------------------------- detail
+
+
+async def test_employee_detail_full(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/u1",
+                         params={"channel": "all", "start": START, "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["user_id"] == "u1"
+    assert body["name"] == "张三"
+    assert body["accounts"] == [
+        {"channel": "wechat", "account_id": "wx1",
+         "nick_name": "张三的微信", "user_name": "张三"}]
+    # metrics 全字段(22 列 namedtuple)
+    assert len(body["metrics"]) == 22
+    assert body["metrics"]["cust_threads"] == 10
+    # score 完整明细:dimensions 含逐指标 metrics;metrics_detail 扁平
+    assert body["score"]["dimensions"]["service"]["metrics"]["fr_p90_ms"][
+        "score"] == 100.0
+    assert body["score"]["metrics_detail"]["fr_p90_ms"]["value"] == 120_000
+    assert body["score"]["metrics_detail"]["reply_2h_rate"]["value"] == 0.2
+    assert body["score"]["metrics_detail"]["fr_p90_ms"]["baseline"] == 60_000
+    # anomalies + prev/baseline 原始值(prev 窗 0827-0831 与基线窗重叠:
+    # 5 天 × msg_sent 14 = 70);详情端点 anomalies 不带 employee_name
+    # (自指无意义,仅 dashboard enrich)
+    assert len(body["anomalies"]) == 2
+    assert all(a["severity"] == "warning" for a in body["anomalies"])
+    assert all("employee_name" not in a for a in body["anomalies"])
+    assert body["prev"]["msg_sent"] == 70
+    assert body["baseline"]["msg_sent"] == 70
+    assert body["data_as_of"] == _ts(2026, 9, 3, 9, 0)
+
+
+# ---------------------------------------------------------------- sections
+
+
+async def test_employee_sections(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    base = "/api/management/employees/u1/metrics"
+    for section in ("overview", "service", "customer", "workload", "calls"):
+        r = await client.get(base, params={
+            "section": section, "channel": "wechat",
+            "start": START, "end": END})
+        assert r.status_code == 200, section
+        body = r.json()
+        assert body["section"] == section
+        assert len(body["trend"]) == 5  # 全窗口逐日(含零填充)
+        assert all("day" in t for t in body["trend"])
+        assert body["comparisons"]["reply_2h_rate"]["current"] == 0.2
+        assert set(body["comparisons"]["reply_2h_rate"]) == {
+            "current", "prev", "baseline", "median"}
+
+    r = await client.get(base, params={"section": "service",
+                                       "channel": "wechat",
+                                       "start": START, "end": END})
+    body = r.json()
+    assert body["metrics"]["cust_threads"] == 10
+    assert body["metrics"]["reply_2h_count"] == 2
+    t0 = body["trend"][0]
+    assert t0 == {"day": 20260901, "cust_threads": 2, "threads_answered": 2,
+                  "fr_sum_ms": 240_000, "first_reply_p50_ms": 110_000,
+                  "first_reply_p90_ms": 220_000}
+
+    r = await client.get(base, params={"section": "calls", "channel": "all",
+                                       "start": START, "end": END})
+    calls = {t["day"]: t for t in r.json()["trend"]}
+    assert calls[20260901]["call_count"] == 2
+    assert calls[20260901]["call_followup_count"] == 1
+    assert calls[20260905]["call_count"] == 0  # 零填充
+    assert r.json()["metrics"]["call_count"] == 2
+
+
+# ---------------------------------------------------------------- drilldown
+
+
+async def test_drilldown_fr_p90(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    url = "/api/management/employees/u2/drilldown"
+    r = await client.get(url, params={
+        "metric_code": "first_reply_p90", "channel": "all",
+        "start": START, "end": END, "page": 1, "page_size": 1})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["total"] == 2
+    assert len(body["items"]) == 1
+    item = body["items"][0]
+    # fr_ms desc + 同值按日 desc 决胜:0902 的 pD 在前
+    assert item["fr_ms"] == 600_000
+    assert item["peer_id"] == "pD"
+    assert item["channel"] == "wechat"
+    assert item["owner_account_id"] == "wx2"
+    assert item["chat_hint"] == {"owner_account_id": "wx2", "talker_id": "pD"}
+    r = await client.get(url, params={
+        "metric_code": "first_reply_p90", "channel": "all",
+        "start": START, "end": END, "page": 2, "page_size": 1})
+    assert r.json()["items"][0]["peer_id"] == "pC"
+    # u2 的 WA 账号无 fact 行
+    r = await client.get(url, params={
+        "metric_code": "first_reply_p50", "channel": "whatsapp",
+        "start": START, "end": END})
+    assert r.json()["total"] == 0
+
+
+async def test_drilldown_unreplied(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/u1/drilldown",
+                         params={"metric_code": "unreplied",
+                                 "channel": "wechat",
+                                 "start": START, "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["total"] == 1  # p1(wx1)进入,u1 过滤后
+    assert body["items"][0]["peer_id"] == "p1"
+    assert body["items"][0]["owner_account_id"] == "wx1"
+    # u2 名下无未回候选(p3 尾部为员工消息)
+    r = await client.get("/api/management/employees/u2/drilldown",
+                         params={"metric_code": "unreplied",
+                                 "channel": "wechat",
+                                 "start": START, "end": END})
+    assert r.json()["total"] == 0
+
+
+async def test_drilldown_lifecycle_customers(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/u1/drilldown",
+                         params={"metric_code": "cooling_customers",
+                                 "channel": "all",
+                                 "start": START, "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["total"] == 1  # f2 降温;f1 沉睡、f9 已删
+    assert body["items"][0] == {"friend_id": "f2", "channel": "wechat",
+                                "nickname": "客户二",
+                                "last_day": 20260825, "state": "cooling"}
+
+    r = await client.get("/api/management/employees/u1/drilldown",
+                         params={"metric_code": "dormant_customers",
+                                 "channel": "all",
+                                 "start": START, "end": END})
+    body = r.json()
+    assert body["total"] == 1
+    assert body["items"][0]["friend_id"] == "f1"
+    assert body["items"][0]["state"] == "dormant"
+
+
+async def test_drilldown_shared_customer_history(make_client):
+    """I1:共享/换归属客户——互动史挂在他人账号(wx2)名下而 Customer.owner
+    =wx1:历史按 (channel, peer) 键控跨 owner 合并(对齐批次A _lifecycle_daily
+    的 peer 键控口径),客户不丢、历史完整(hist 12 ≥ 5 判沉睡)。"""
+
+    async def seed(s):
+        await _seed_common(s)
+        for day, month in ((20260701, 7), (20260801, 8)):
+            s.add(MsgDailyStats(channel="wechat", owner_account_id="wx2",
+                                peer_kind="friend", peer_id="f3", day=day,
+                                send_cnt=3, recv_cnt=3,
+                                last_ts=_ts(2026, month, day % 100, 12, 0),
+                                last_is_send=True))
+        s.add(Customer(friend_id="f3", channel="wechat",
+                       owner_account_id="wx1", friend_nickname="共享客户",
+                       user_id="u1", delete_flag=0))
+        await s.commit()
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/u1/drilldown",
+                         params={"metric_code": "dormant_customers",
+                                 "channel": "all",
+                                 "start": START, "end": END})
+    body = r.json()
+    assert body["total"] == 2  # f1 + f3(历史全在 wx2 名下也不丢)
+    f3 = next(i for i in body["items"] if i["friend_id"] == "f3")
+    assert f3 == {"friend_id": "f3", "channel": "wechat",
+                  "nickname": "共享客户",
+                  "last_day": 20260801, "state": "dormant"}
+    # 归属口径仍是 Customer.owner(wx1):u2(wx2)名下看不到
+    r = await client.get("/api/management/employees/u2/drilldown",
+                         params={"metric_code": "dormant_customers",
+                                 "channel": "all",
+                                 "start": START, "end": END})
+    assert r.json()["total"] == 0
+
+
+async def test_drilldown_call_followup(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/employees/u1/drilldown",
+                         params={"metric_code": "call_followup",
+                                 "channel": "all",
+                                 "start": START, "end": END})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["total"] == 2
+    # start_call_time desc:c2(0902)在前
+    assert [i["call_id"] for i in body["items"]] == ["c2", "c1"]
+    assert set(body["items"][0]) == {
+        "call_id", "channel", "call_number", "start_call_time",
+        "call_duration"}
+    assert body["summary"] == {"call_count": 2, "call_seconds": 100,
+                               "answered_call_count": 1,
+                               "call_followup_count": 1}
+
+
+# ------------------------------------------------------- metric-definitions
+
+
+async def test_metric_definitions(make_client):
+    async def seed(s):
+        await _seed_common(s)
+
+    client = await make_client(seed)
+    r = await client.get("/api/management/metric-definitions")
+    assert r.status_code == 200
+    body = r.json()
+    assert body["definitions"]["cust_threads"]["unit"] == "串"
+    assert body["score_config"]["trial"] is True
+    assert body["score_config"]["dimensions"]["risk"]["status"] == "pending_data"
+    assert body["config_source"] == "default"  # 未种子配置→回退默认
+    assert "1:1" in body["caliber_notes"]

yunke-server/tests/test_management_scoring.py

@@ -300,6 +300,16 @@ def test_validate_config_cross_dimension_code_unique():
     assert any("active_share" in p and "重复" in p for p in validate_config(dup))
 
 
+def test_validate_config_source_name_unique():
+    """两个 code 指向同一源指标:comparisons 按源名建键会静默覆盖,须报问题。"""
+    dup = json.loads(json.dumps(DEFAULT_SCORE_CONFIG))
+    # service 里造一个不同 code 但同指向 active_friends 的 band(源名冲突)
+    dup["dimensions"]["service"]["metrics"]["load_band"] = {
+        "type": "band", "metric": "active_friends", "low": 1, "high": 50,
+    }
+    assert any("同一源指标 active_friends" in p for p in validate_config(dup))
+
+
 def test_validate_config_default_config_clean():
     """默认配置自身必须全绿(空问题列表)。"""
     assert validate_config(DEFAULT_SCORE_CONFIG) == []

yunke-server/tests/test_scheduler_analytics_tick.py

@@ -1,4 +1,4 @@
-"""_analytics_tick:滚动刷新 + 增量扫描 + 异常吞掉(数据分析板块 v1, T11)。
+"""_analytics_tick:滚动刷新 + 增量扫描 + 管理域滚动段 + 异常吞掉(v1 T11;批次F F1)。
 
 行为测试是底线——start() 的 job 注册断言在 test_sync_scheduler.py 的
 注册测试里同步更新(那里 spy 断言 add_job 全集)。
@@ -15,6 +15,7 @@ from sqlalchemy.pool import StaticPool
 
 from app.db.base import Base
 from app.db.models import MsgDailyStats, SensitiveWord, StatDailyStaff
+from app.storage.staff_summary import rolling_days
 from app.storage.summary import day_key
 from app.sync.scheduler import SyncScheduler
 
@@ -74,3 +75,110 @@ async def test_analytics_tick_swallows_errors(sched_engine, monkeypatch, caplog)
     with caplog.at_level(logging.ERROR, logger="app.sync.scheduler"):
         await sch._analytics_tick()  # 不抛
     assert any("analytics tick failed" in r.getMessage() for r in caplog.records)
+
+
+async def _seed_today(sched_engine) -> int:
+    """seed 当日一条 wechat friend 会话 + 敏感词,返回 seed 用的 day 键。"""
+    _, maker = sched_engine
+    today = day_key(int(time.time() * 1000))
+    async with maker() as s:
+        s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
+                            peer_kind="friend", peer_id="t1", day=today,
+                            send_cnt=1, recv_cnt=0, last_ts=1756950000000,
+                            last_is_send=True))
+        s.add(SensitiveWord(word="私单"))
+        await s.commit()
+    return today
+
+
+async def test_tick_calls_management_chain_in_order(sched_engine, monkeypatch):
+    """两段链完整顺序:recompute_days → scan → pairs_active_in_days →
+    recompute_pairs → recompute_metric_days → recompute_call_days。
+
+    记录桩替换全部六个上游——_analytics_tick 段内函数延迟 import,
+    monkeypatch 模块属性即命中(惯例见 test_analytics_tick_swallows_errors)。
+    """
+    engine, maker = sched_engine
+    calls: list[str] = []
+
+    def rec(name: str, ret):
+        async def _stub(*args, **kwargs):
+            calls.append(name)
+            return ret
+        return _stub
+
+    monkeypatch.setattr("app.storage.staff_summary.recompute_days",
+                        rec("recompute_days", 0))
+    monkeypatch.setattr("app.analytics.sensitive.scanner.run_incremental",
+                        rec("scan", {"scanned": 0, "hits": 0}))
+    monkeypatch.setattr("app.storage.first_reply_facts.pairs_active_in_days",
+                        rec("pairs_active_in_days", []))
+    monkeypatch.setattr("app.storage.first_reply_facts.recompute_pairs",
+                        rec("recompute_pairs", 0))
+    monkeypatch.setattr("app.storage.employee_metrics.recompute_metric_days",
+                        rec("recompute_metric_days", 0))
+    monkeypatch.setattr("app.storage.employee_metrics.recompute_call_days",
+                        rec("recompute_call_days", 0))
+
+    sch = SyncScheduler(engine=engine, session_maker=maker)
+    await sch._analytics_tick()
+    assert calls == [
+        "recompute_days", "scan",                                   # 段1
+        "pairs_active_in_days", "recompute_pairs",                  # 段2
+        "recompute_metric_days", "recompute_call_days",
+    ]
+
+
+async def test_tick_management_failure_isolated(sched_engine, monkeypatch, caplog):
+    """段2 失败隔离:recompute_metric_days 抛 RuntimeError → ①tick 不抛;
+    ②记 "management metrics tick failed";③段1 已提交的 StatDailyStaff
+    不被段2 回滚(两段独立事务)。
+    """
+    engine, maker = sched_engine
+    await _seed_today(sched_engine)
+
+    async def _boom(*args, **kwargs):
+        raise RuntimeError("boom")
+
+    monkeypatch.setattr("app.storage.employee_metrics.recompute_metric_days", _boom)
+    sch = SyncScheduler(engine=engine, session_maker=maker)
+    with caplog.at_level(logging.ERROR, logger="app.sync.scheduler"):
+        await sch._analytics_tick()  # ①不抛
+    assert any(  # ②段2 独立记日志
+        "management metrics tick failed" in r.getMessage() for r in caplog.records
+    )
+    async with maker() as s:  # ③段1 结果已提交
+        n = (await s.execute(
+            select(func.count()).select_from(StatDailyStaff)
+        )).scalar_one()
+        assert n >= 1
+
+
+async def test_tick_management_rolling_window(sched_engine, monkeypatch):
+    """管理域三函数收到的 days == rolling_days(today, 3)(长度 3,当日+前
+    两天),且与 staff 段捕获的窗口一致(两段共用函数顶提取的同一 today)。
+    """
+    engine, maker = sched_engine
+    got: dict[str, list[int]] = {}
+
+    def cap(name: str, ret):
+        async def _stub(session, days, *args, **kwargs):
+            got[name] = list(days)
+            return ret
+        return _stub
+
+    monkeypatch.setattr("app.storage.staff_summary.recompute_days",
+                        cap("staff", 0))
+    monkeypatch.setattr("app.storage.first_reply_facts.pairs_active_in_days",
+                        cap("pairs", []))
+    monkeypatch.setattr("app.storage.employee_metrics.recompute_metric_days",
+                        cap("wide", 0))
+    monkeypatch.setattr("app.storage.employee_metrics.recompute_call_days",
+                        cap("call", 0))
+
+    sch = SyncScheduler(engine=engine, session_maker=maker)
+    await sch._analytics_tick()
+
+    rd = rolling_days(day_key(int(time.time() * 1000)), 3)
+    assert len(rd) == 3  # 当日 + 前两天
+    assert got["staff"] == got["pairs"] == got["wide"] == got["call"] == rd

yunke-server/tests/test_sync_scheduler.py

@@ -572,7 +572,12 @@ async def test_safe_page_run_full_invokes_bash_full_sync(engine, monkeypatch):
 
 
 async def test_safe_page_run_messages_builds_scrape_command(engine, monkeypatch):
-    """messages job = friends→wa-friends→四类消息→moments 浅扫的命令序列。"""
+    """messages job = accounts→friends→四类消息(活跃窗)→moments 浅扫的命令序列。
+
+    2026-09-10 调度根治:头部刷员工账号表(员工列表时间最多滞后 4h);
+    消息实体只扫近 24h 活跃对话(--active-window-hours 24,防序列 15h+
+    挤死 full);陈旧对话每日 full 兜底。
+    """
     sched = SyncScheduler(engine=engine, max_conversations_per_run=123)
     commands: list[list[str]] = []
 
@@ -584,22 +589,26 @@ async def test_safe_page_run_messages_builds_scrape_command(engine, monkeypatch)
 
     await sched._safe_page_run("messages")
 
-    # 2026-08-21: messages job 是 friends→wa-friends→四类消息的命令序列,
+    assert len(commands) == 10
-    # 每条都调 scrape_via_page.py;2026-08-25 末尾追加 moments 浅扫
-    assert len(commands) == 7
     for args in commands:
         assert args[1].endswith("scrape_via_page.py")
 
     def entity_of(args: list[str]) -> str:
         return args[args.index("--entity") + 1]
 
-    assert entity_of(commands[0]) == "friends"
+    # 头部:账号刷新(员工列表「数据更新/最新消息时间」来源)
-    assert entity_of(commands[1]) == "wa-friends"
+    assert entity_of(commands[0]) == "accounts"
-    for args in commands[2:6]:
+    assert entity_of(commands[1]) == "wa-accounts"
-        assert entity_of(args) in (
+    assert entity_of(commands[2]) == "friends"
-            "messages", "wa-messages", "group-messages", "wa-group-messages",
+    assert entity_of(commands[3]) == "wa-friends"
-        )
+    # 群消息前刷群活跃(chatroom-stats 全窗——群活跃窗判定源,2026-09-10)
+    entities_seq = [entity_of(a) for a in commands]
+    assert entities_seq.index("chatroom-stats") < entities_seq.index("group-messages")
+    # 四类消息:24h 活跃窗(2026-09-10 根治调度堵塞)
+    for args in commands:
+        if entity_of(args) in ("messages", "wa-messages", "group-messages", "wa-group-messages"):
             assert args[args.index("--max-conversations") + 1] == "99999"
+            assert args[args.index("--active-window-hours") + 1] == "24"
     # moments 浅扫在序列末尾:每员工最多 3 页
     moments_cmd = commands[-1]
     assert entity_of(moments_cmd) == "moments"

yunkes/src/api/management.ts

@@ -0,0 +1,107 @@
+// 经营管理板块 API(批次C)。契约以批次B终评冻结面为准:
+// None≠0(无样本分位/率=null);scope.channel 回显原值;drilldown 白名单六值。
+// 已对照批次B as-built(management.py/api_assembly.py)逐键核对:
+// - dashboard 另有 caliber_notes(总述口径说明,Record<string,string>)
+// - drilldown 各分支均返回 page/page_size/scope(与 items/total 同层)
+// - first_reply_* 行含 chat_hint(owner+talker 直达聊天记录)
+// - lifecycle 行 nickname 恒非空(后端 friend_nickname→remark→friend_id 兜底)
+import { getJson } from './client'
+import type { Channel } from './types'
+
+export type MgmtChannel = 'all' | Channel
+export type CompareMode = 'previous' | 'personal_baseline' | 'team_median'
+export type DrilldownCode =
+  | 'first_reply_p90' | 'first_reply_p50' | 'unreplied'
+  | 'cooling_customers' | 'dormant_customers' | 'call_followup'
+
+export interface MgmtScope { channel: MgmtChannel; start: number; end: number; compare?: CompareMode; view?: string; user_id?: string; metric_code?: string }
+export interface Kpis {
+  active_customers: number; active_employees: number
+  msg_total: number; cust_threads: number; threads_answered: number
+  call_count: number; call_seconds: number; answered_call: number
+  lifecycle: { new: number; cooling: number; dormant: number; reactivated: number }
+}
+export interface CommTrendPoint { day: number; msg_total: number; active_customers: number; call_cnt: number }
+export interface SvcTrendPoint { day: number; fr_p50_ms: number | null; fr_p90_ms: number | null; reply_2h_rate: number | null }
+export interface DimSummary { [dim: string]: { name: string; weight: number; scored_count: number; pending_count: number; insufficient_count: number; avg_score: number | null } }
+export interface AnomalyCard {
+  rule_code: string; severity: 'critical' | 'warning'; employee_user_id: string
+  // dashboard 端点 enrich(批次D,跳员工详情用);员工详情端点不带
+  employee_name?: string
+  title: string; current_value: number; baseline_value: number | null; unit: string
+  sample_size: number; affected_count: number; reason: string
+  drilldown: { type: string; query: { metric_code?: string; user_id?: string } }
+  suggested_action: string
+}
+export interface DashboardResp {
+  scope: MgmtScope; data_as_of: number | null; metric_version: string; config_source: 'db' | 'default'
+  kpis: Kpis
+  // 前窗环比块(批次D):prev 窗同式聚合;可选防御旧缓存响应
+  prev_kpis?: Pick<Kpis, 'active_customers' | 'active_employees' | 'msg_total' | 'cust_threads'>
+  msg_delta?: number | null // (msg_total-prev)/prev,prev=0 → null;客户端三卡自算,此键备用
+  communication_trend: CommTrendPoint[]
+  service_trend: SvcTrendPoint[]
+  lifecycle: Kpis['lifecycle']
+  dimension_summary: DimSummary
+  anomalies: AnomalyCard[]
+  action_summary: { unreplied_2h: number; churn_real_30d: number; sensitive_pending: number }
+  caliber_notes: Record<string, string>
+}
+export interface EmployeeRow {
+  user_id: string; name: string | null; is_on_job: boolean | null
+  // metrics=PeriodMetrics._asdict():数值字段外的 user_id 键是字符串(透传
+  // 字段,UI 取身份用顶层 row.user_id,动态取数只碰数值键)
+  metrics: Record<string, number | null>
+  comparisons: Record<string, { current: number | null; prev: number | null; baseline: number | null; median: number | null }>
+  score: { total_score: number | null; grade: string | null; score_status: string; trial: boolean; dimensions: Record<string, { score: number | null; status: string }> }
+  anomaly_count: number; anomaly_weight: number
+}
+export interface EmployeesResp { total: number; page: number; page_size: number; rows: EmployeeRow[]; scope: MgmtScope; data_as_of: number | null; metric_version: string; config_source: 'db' | 'default' }
+export interface FactDrillRow { day: number; channel: string; owner_account_id: string; peer_id: string; thread_end_ts: number; reply_ts: number; fr_ms: number; chat_hint: { owner_account_id: string; talker_id: string } }
+export interface LifecycleDrillRow { friend_id: string; channel: string; nickname: string; last_day: number; state: string }
+export interface CallDrillRow { call_id: string; channel: string; call_number: string | null; start_call_time: number; call_duration: number }
+export interface DrilldownResp { total: number; page: number; page_size: number; scope: MgmtScope; items: Record<string, unknown>[]; note?: string; truncated?: boolean; summary?: Record<string, number> }
+export interface MetricDefsResp {
+  definitions: Record<string, { name: string; unit: string; direction: number; caliber?: string; formula?: string }>
+  score_config: { version: string; name: string; trial: boolean; normalization: string; sample_guards: Record<string, number>; grade_bounds: Record<string, number>; dimensions: Record<string, { name: string; weight: number; status?: string }> }
+  caliber_notes: string
+  config_source: 'db' | 'default'
+}
+
+export const getDashboard = (channel: MgmtChannel, start: number, end: number, compare: CompareMode = 'previous') =>
+  getJson<DashboardResp>('/management/dashboard', { channel, start, end, compare })
+export const getEmployees = (params: Record<string, unknown>) =>
+  getJson<EmployeesResp>('/management/employees', params)
+export const getEmployeeDrilldown = (userId: string, metricCode: DrilldownCode, start: number, end: number, channel: MgmtChannel, page = 1, pageSize = 20) =>
+  getJson<DrilldownResp>(`/management/employees/${userId}/drilldown`, { metric_code: metricCode, start, end, channel, page, page_size: pageSize })
+export const getMetricDefs = () => getJson<MetricDefsResp>('/management/metric-definitions')
+
+// ---- 批次D:员工详情 + 分段指标(契约已真机 8000 抽查核对,见上) ----
+export interface EmployeeAccount { channel: string; account_id: string; nick_name: string | null; user_name: string | null }
+export interface ScoreMetricDetail { value: number | null; prev: number | null; baseline: number | null; median: number | null; sample_size: number; sample_status: string; score: number | null; unit: string; name: string }
+// formula_note 在 dimensions[dim].metrics[code] 上(scoring 维度级明细),不在 metrics_detail
+export interface EmployeeDetailResp {
+  user_id: string; name: string | null; is_on_job: boolean | null
+  accounts: EmployeeAccount[]
+  metrics: Record<string, number | string | null>
+  score: {
+    total_score: number | null; grade: string | null; score_status: string; trial: boolean
+    dimensions: Record<string, { name: string; weight: number; score: number | null; status: string; metrics?: Record<string, { value: number | null; score: number | null; sample_size: number; sample_status: string; formula_note?: string }> }>
+    metrics_detail: Record<string, ScoreMetricDetail>
+  }
+  anomalies: AnomalyCard[]
+  prev: Record<string, number | string | null> | null
+  baseline: Record<string, number | string | null> | null
+  scope: MgmtScope; data_as_of: number | null; metric_version: string; config_source: 'db' | 'default'
+}
+export interface SectionResp {
+  section: string; metrics: Record<string, number | null>
+  trend: Record<string, number | null>[]
+  comparisons: Record<string, { current: number | null; prev: number | null; baseline: number | null; median: number | null }>
+  scope: MgmtScope; data_as_of: number | null; metric_version: string
+}
+export type MetricsSection = 'overview' | 'service' | 'customer' | 'workload' | 'calls'
+export const getEmployeeDetail = (userId: string, channel: MgmtChannel, start: number, end: number) =>
+  getJson<EmployeeDetailResp>(`/management/employees/${userId}`, { channel, start, end })
+export const getEmployeeMetrics = (userId: string, section: MetricsSection, channel: MgmtChannel, start: number, end: number) =>
+  getJson<SectionResp>(`/management/employees/${userId}/metrics`, { section, channel, start, end })

yunkes/src/components/management/AnomalyList.vue

@@ -0,0 +1,136 @@
+<template>
+  <el-table
+    v-loading="loading"
+    :data="anomalies"
+    :row-class-name="rowClass"
+    @row-click="onRowClick"
+  >
+    <el-table-column label="级别" width="70" align="center">
+      <template #default="{ row }">
+        <el-tag v-if="row.severity === 'critical'" type="danger" size="small">严重</el-tag>
+        <el-tag v-else type="warning" size="small">关注</el-tag>
+      </template>
+    </el-table-column>
+    <el-table-column label="异常" min-width="240">
+      <template #default="{ row }">
+        <div class="cell-title">{{ row.title }}</div>
+        <div v-if="showEmployee" class="cell-emp">
+          <el-link
+            type="primary"
+            underline="never"
+            @click.stop="goEmployee(row)"
+          >{{ row.employee_name || row.employee_user_id.slice(0, 8) }}</el-link>
+        </div>
+        <div class="cell-sub">{{ row.reason }}</div>
+      </template>
+    </el-table-column>
+    <el-table-column label="当前值" width="150">
+      <template #default="{ row }">
+        <div>{{ formatValue(row.current_value, row.unit) }}</div>
+        <div class="cell-sub">
+          {{ row.baseline_value === null ? '无基线' : `基线 ${formatValue(row.baseline_value, row.unit)}` }}
+        </div>
+      </template>
+    </el-table-column>
+    <el-table-column label="样本" prop="sample_size" align="right" width="80" />
+    <el-table-column label="影响" align="right" width="90">
+      <template #default="{ row }">
+        <span :class="{ 'affected-hot': row.affected_count >= 50 }">{{ row.affected_count }}</span>
+      </template>
+    </el-table-column>
+    <el-table-column label="建议动作" min-width="180" show-overflow-tooltip>
+      <template #default="{ row }">
+        <span class="cell-sub">{{ row.suggested_action }}</span>
+      </template>
+    </el-table-column>
+    <template #empty>
+      <el-empty description="暂无异常" :image-size="60" />
+    </template>
+  </el-table>
+</template>
+
+<script setup lang="ts">
+// 异常榜(批次C 驾驶舱):后端 AnomalyCard[] 平铺表——级别 tag/标题+员工行
+// (showEmployee,批次D:employee_name 链接→员工详情,.stop 防触发行下钻)
+// +原因/单位感知当前值+基线/样本/影响(≥50 红显)/建议动作。行 click 打开
+// 下钻抽屉(emit drill,抽屉自治加载);critical 整行淡红底提示优先处置。
+// 纯展示+事件,不取数。
+import { useRoute, useRouter } from 'vue-router'
+import { formatMsDuration, formatRatio } from '@/utils/format'
+import type { AnomalyCard } from '@/api/management'
+
+// showEmployee(默认 true):驾驶舱异常榜显示员工行;员工详情页复用本组件
+// 传 false(自指链接无意义)
+withDefaults(
+  defineProps<{
+    anomalies: AnomalyCard[]
+    loading?: boolean
+    showEmployee?: boolean
+  }>(),
+  { showEmployee: true },
+)
+
+const emit = defineEmits<{
+  (e: 'drill', card: AnomalyCard): void
+}>()
+
+const route = useRoute()
+const router = useRouter()
+
+// 员工链接:带当前 URL query(channel/start/end/compare 随行,与列表
+// goDetail 带窗进详情同语义);detail 页对白名单外 query 键不敏感
+function goEmployee(row: AnomalyCard): void {
+  router.push({
+    path: `/management/employees/${row.employee_user_id}`,
+    query: route.query,
+  })
+}
+
+// 单位感知格式化:ms→时长,0-1→比率,其余千分位(与指标口径字典 unit 对齐)
+function formatValue(v: number, unit: string): string {
+  if (unit === 'ms') return formatMsDuration(v)
+  if (unit === '0-1') return formatRatio(v)
+  return v.toLocaleString()
+}
+
+function rowClass({ row }: { row: AnomalyCard }): string {
+  return row.severity === 'critical'
+    ? 'anomaly-critical-row yk-clickable-row'
+    : 'yk-clickable-row'
+}
+
+function onRowClick(row: AnomalyCard): void {
+  emit('drill', row)
+}
+</script>
+
+<style scoped>
+/* critical 行整行淡红底(优先处置);hover 深一档由 EP 行 hover 自带 */
+:deep(.el-table .anomaly-critical-row) {
+  background-color: var(--el-color-danger-light-9);
+}
+:deep(.el-table .anomaly-critical-row:hover > td.el-table__cell) {
+  background-color: var(--el-color-danger-light-8);
+}
+.cell-title {
+  font-size: 13px;
+  color: var(--el-text-color-primary);
+}
+.cell-emp {
+  font-size: 12px;
+  margin-top: 2px;
+  line-height: 1.4;
+}
+.cell-emp .el-link {
+  font-size: 12px;
+}
+.cell-sub {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+  margin-top: 2px;
+}
+.affected-hot {
+  color: var(--el-color-danger);
+  font-weight: 600;
+}
+</style>

yunkes/src/components/management/DataAsOfBadge.vue

@@ -0,0 +1,49 @@
+<template>
+  <span class="data-asof">
+    <el-tag v-if="asOfText" size="small" type="info" effect="plain">数据截至 {{ asOfText }}</el-tag>
+    <el-tag v-else size="small" type="info">无数据</el-tag>
+    <el-tag
+      v-if="metricVersion"
+      size="small"
+      effect="plain"
+      class="asof-tag"
+      :title="configSource === 'db' ? '口径配置：自定义(数据库)' : '口径配置：默认'"
+    >口径 {{ metricVersion }}</el-tag>
+    <el-tag v-if="trial" size="small" type="warning" class="asof-tag">试算</el-tag>
+  </span>
+</template>
+
+<script setup lang="ts">
+// 数据截至角标(批次C 驾驶舱/员工页共用):数据时间 + 指标版本 + 试算标记。
+// 纯展示——数据由父级从 dashboard/employees 载荷透传(data_as_of/metric_version/
+// trial/config_source),不自行请求。configSource 无独立标签(避免噪音),
+// 挂在口径版本 tag 的 title 提示上。
+import { computed } from 'vue'
+import { formatTime } from '@/utils/format'
+
+const props = defineProps<{
+  dataAsOf?: number | null
+  metricVersion?: string
+  trial?: boolean
+  configSource?: 'db' | 'default'
+}>()
+
+// ms 时间戳 → `YYYY-MM-DD HH:mm`(formatTime 去秒);缺失/非法 → 灰 tag「无数据」
+const asOfText = computed(() => {
+  const v = props.dataAsOf
+  if (v == null || !Number.isFinite(v) || v <= 0) return ''
+  return formatTime(v).slice(0, 16)
+})
+</script>
+
+<style scoped>
+.data-asof {
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  white-space: nowrap;
+}
+.asof-tag {
+  margin-left: 0;
+}
+</style>

yunkes/src/components/management/EmployeeCompareDrawer.vue

@@ -0,0 +1,169 @@
+<template>
+  <el-drawer
+    :model-value="modelValue"
+    title="员工对比"
+    size="620px"
+    @update:model-value="emit('update:modelValue', $event)"
+  >
+    <!-- v1 §6.6:对比只呈现可验证差异,不产生优劣结论(管理者需被提醒) -->
+    <el-alert
+      type="info"
+      :closable="false"
+      title="同口径同时窗对比，仅呈现可验证差异，不产生优劣结论"
+      class="cmp-alert"
+    />
+
+    <!-- ① 维度对比:三可用维度,每人一行横向 bar(0-100;无样本灰「--」) -->
+    <div v-for="dim in DIMS" :key="dim.key" class="dim-block">
+      <div class="dim-title">{{ dim.label }}</div>
+      <div v-for="r in rows" :key="r.user_id" class="dim-row">
+        <span class="dim-name" :title="r.user_id">{{ displayName(r) }}</span>
+        <template v-if="dimScore(r, dim.key) !== null">
+          <div class="dim-track">
+            <div class="dim-bar" :style="{ width: `${dimScore(r, dim.key)}%` }" />
+          </div>
+          <span class="dim-score">{{ Math.round(dimScore(r, dim.key) ?? 0) }}</span>
+        </template>
+        <span v-else class="dim-na">--</span>
+      </div>
+    </div>
+
+    <!-- ② 关键指标表:行=指标,列=每人 -->
+    <el-table :data="metricRows" size="small" border class="cmp-table">
+      <el-table-column prop="label" label="指标" min-width="96" />
+      <el-table-column
+        v-for="r in rows"
+        :key="r.user_id"
+        align="right"
+        min-width="88"
+      >
+        <template #header>
+          <span :title="r.user_id">{{ displayName(r) }}</span>
+        </template>
+        <template #default="{ row }">{{ row.values[r.user_id] }}</template>
+      </el-table-column>
+    </el-table>
+  </el-drawer>
+</template>
+
+<script setup lang="ts">
+// 员工对比抽屉(批次D):总览页勾选 2-5 人后并排看维度分与关键指标。
+// 只读展示——数据来自已选行快照(EmployeeRow),不二次请求;口径/时窗与
+// 总览页完全一致(同载荷),故顶部钉 v1 §6.6 提示:仅呈现可验证差异。
+import { computed } from 'vue'
+import type { EmployeeRow } from '@/api/management'
+import { formatMsDuration, formatRatio } from '@/utils/format'
+
+const props = defineProps<{
+  modelValue: boolean
+  /** 已勾选行(2-5,由父级按钮门槛保证);行是勾选时的快照,翻页/重查不影响 */
+  rows: EmployeeRow[]
+}>()
+
+const emit = defineEmits<{
+  (e: 'update:modelValue', v: boolean): void
+}>()
+
+// 一期可用三维度(action/risk pending_data 不参与)
+const DIMS = [
+  { key: 'customer', label: '客户经营' },
+  { key: 'service', label: '服务质量' },
+  { key: 'workload', label: '工作负载' },
+] as const
+
+function displayName(r: EmployeeRow): string {
+  return r.name || r.user_id.slice(0, 8)
+}
+
+function dimScore(r: EmployeeRow, key: string): number | null {
+  return r.score.dimensions[key]?.score ?? null
+}
+
+// metrics 取数值键(user_id 透传键是字符串,typeof 守卫掉)
+function num(r: EmployeeRow, key: string): number | null {
+  const v = r.metrics[key]
+  return typeof v === 'number' ? v : null
+}
+
+function ratio(numV: number | null, den: number | null): string {
+  if (!den) return '--' // 分母 0/null → 无率(严格区分 0%)
+  return formatRatio(numV == null ? null : numV / den)
+}
+
+interface CmpMetricRow {
+  label: string
+  values: Record<string, string>
+}
+
+const metricRows = computed<CmpMetricRow[]>(() => {
+  const mk = (label: string, fmt: (r: EmployeeRow) => string): CmpMetricRow => {
+    const values: Record<string, string> = {}
+    for (const r of props.rows) values[r.user_id] = fmt(r)
+    return { label, values }
+  }
+  return [
+    mk('活跃客户', (r) => String(num(r, 'active_friends') ?? '--')),
+    mk('消息量', (r) => String((num(r, 'msg_sent') ?? 0) + (num(r, 'msg_recv') ?? 0))),
+    mk('首响P90', (r) => formatMsDuration(num(r, 'fr_p90_ms'))),
+    mk('2h回复率', (r) => ratio(num(r, 'reply_2h_count'), num(r, 'cust_threads'))),
+    mk('异常数', (r) => String(r.anomaly_count)),
+  ]
+})
+</script>
+
+<style scoped>
+.cmp-alert {
+  margin-bottom: 16px;
+}
+.dim-block {
+  margin-bottom: 16px;
+}
+.dim-title {
+  font-size: 13px;
+  font-weight: 600;
+  color: var(--el-text-color-primary);
+  margin-bottom: 6px;
+}
+.dim-row {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  margin-bottom: 4px;
+}
+.dim-name {
+  width: 88px;
+  flex: none;
+  font-size: 13px;
+  color: var(--el-text-color-regular);
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+.dim-track {
+  flex: 1;
+  height: 12px;
+  border-radius: 6px;
+  background: var(--el-fill-color-light);
+  overflow: hidden;
+}
+.dim-bar {
+  height: 100%;
+  border-radius: 6px;
+  background: var(--el-color-primary);
+}
+.dim-score {
+  width: 28px;
+  flex: none;
+  text-align: right;
+  font-size: 12px;
+  color: var(--el-text-color-regular);
+}
+.dim-na {
+  flex: 1;
+  font-size: 12px;
+  color: var(--el-text-color-placeholder);
+}
+.cmp-table {
+  margin-top: 4px;
+}
+</style>

yunkes/src/components/management/ManagementFilterBar.vue

@@ -0,0 +1,111 @@
+<template>
+  <div class="mgmt-filter-bar">
+    <el-radio-group :model-value="channel" @change="onChannelChange">
+      <el-radio-button v-for="c in CHANNELS" :key="c.value" :value="c.value">{{ c.label }}</el-radio-button>
+    </el-radio-group>
+
+    <el-select
+      v-model="preset"
+      class="preset-select"
+      placeholder="近30天"
+      @change="onPresetChange"
+    >
+      <el-option-group label="常用">
+        <el-option label="今日" value="today" />
+        <el-option label="昨日" value="yesterday" />
+        <el-option label="近7天" value="last7" />
+        <el-option label="近30天" value="last30" />
+      </el-option-group>
+      <el-option-group label="日历">
+        <el-option label="本周" value="thisWeek" />
+        <el-option label="上周" value="lastWeek" />
+        <el-option label="本月" value="thisMonth" />
+        <el-option label="上月" value="lastMonth" />
+      </el-option-group>
+      <el-option label="自定义" value="custom" />
+    </el-select>
+
+    <!-- 自定义区间:daterange 自保证 start≤end,选完才 emit;value-format
+         直接给 yyyymmdd 字符串,转 number 走 URL 真源 -->
+    <el-date-picker
+      v-if="preset === 'custom'"
+      v-model="customRange"
+      type="daterange"
+      size="small"
+      range-separator="至"
+      start-placeholder="开始日期"
+      end-placeholder="结束日期"
+      value-format="YYYYMMDD"
+      :clearable="false"
+      style="width: 240px"
+      @change="onCustomRange"
+    />
+
+    <div class="spacer" />
+    <el-button text type="primary" @click="emit('open-defs')">指标口径</el-button>
+    <slot name="aside" />
+  </div>
+</template>
+
+<script setup lang="ts">
+// 管理页统一筛选栏(批次C):渠道 + 时间预设/自定义区间 + 指标口径入口。
+// 受控组件——channel/start/end 来自父级(useManagementFilters 的 URL 真源
+// computed),变更只 emit apply(patch) 由父写回 URL,组件不实例化 composable
+// (只 import CHANNELS/presetRange 常量,避免二次 useRoute/useRouter)。
+//
+// 预设选中值:内部 ref 记用户最近选择,初始 null 显示 placeholder「近30天」,
+// 不与 URL 双向同步(URL 直接访问无 start/end 时默认即 last30,placeholder
+// 恰好如实)。非 custom 预设把 presetRange 计算出的具体日期 emit 给父——
+// URL 真源可分享/刷新,且选中项与实际窗口一致(composable 的默认(last30)
+// 无法表达 last7/本月/上月,只清 start/end 会静默回落 30 天窗)。
+import { ref } from 'vue'
+import { CHANNELS, presetRange, type Preset } from '@/composables/useManagementFilters'
+
+defineProps<{
+  channel: string
+  start: number
+  end: number
+  /** 预留(对比模式选择器未上),父级透传保持 props 面完整 */
+  compare?: string
+}>()
+
+const emit = defineEmits<{
+  (e: 'apply', patch: { channel?: string; start?: number; end?: number }): void
+  (e: 'open-defs'): void
+}>()
+
+// 用户最近选择的预设;null = 未选(placeholder 近30天)。custom 选完后保持,
+// 日期改动走 onCustomRange 增量 emit。
+const preset = ref<Preset | null>(null)
+const customRange = ref<[string, string] | null>(null)
+
+function onChannelChange(v: string | number | boolean): void {
+  emit('apply', { channel: String(v) })
+}
+
+function onPresetChange(v: string): void {
+  if (v === 'custom') return // 等 daterange 选完区间再 emit
+  emit('apply', presetRange(v as Preset))
+}
+
+function onCustomRange(): void {
+  const r = customRange.value
+  if (!r?.[0] || !r?.[1]) return // 未选完区间不请求
+  emit('apply', { start: Number(r[0]), end: Number(r[1]) })
+}
+</script>
+
+<style scoped>
+.mgmt-filter-bar {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  flex-wrap: wrap;
+}
+.preset-select {
+  width: 120px;
+}
+.spacer {
+  flex: 1;
+}
+</style>

yunkes/src/components/management/ManagementKpiCard.vue

@@ -0,0 +1,94 @@
+<template>
+  <el-card shadow="never" class="kpi-card" :class="{ link: !!to }" @click="onClick">
+    <div class="kpi-label">{{ label }}</div>
+    <div class="kpi-value" :class="{ danger }">
+      {{ valueText }}<span v-if="unit && value !== null" class="kpi-unit">{{ unit }}</span>
+    </div>
+    <div v-if="deltaText" class="kpi-delta" :class="deltaClass">
+      环比{{ deltaText }}
+    </div>
+    <div v-if="hint" class="kpi-hint">{{ hint }}</div>
+  </el-card>
+</template>
+
+<script setup lang="ts">
+// 经营管理 KPI 卡:label 上小灰字 + 主值大号字(千分位/unit 后缀/danger 红)
+// + 环比行(批次D,delta prop)+ hint 下小灰字。to 存在时整卡可点
+// (hover 手型)跳转——纯展示+导航,不取数。null 值语义(无样本)显 `--`,
+// 由父级决定传 null。
+import { computed } from 'vue'
+import { useRouter } from 'vue-router'
+
+const props = defineProps<{
+  label: string
+  value: number | null
+  unit?: string
+  hint?: string
+  to?: string
+  danger?: boolean
+  // 较前窗环比 (cur-prev)/prev:null/undefined/NaN(前窗缺数据)不显示。
+  // 只支持升好语义(升绿↓红)——本批接入三卡(活跃客户/活跃员工/消息量)
+  // 均为越高越好;将来若有降好指标(如首响时长)需先加方向语义位
+  delta?: number | null
+}>()
+
+const router = useRouter()
+
+const valueText = computed(() => (props.value === null ? '--' : props.value.toLocaleString()))
+
+const deltaText = computed(() => {
+  if (props.delta == null || !Number.isFinite(props.delta)) return null
+  const arrow = props.delta > 0 ? '↑' : props.delta < 0 ? '↓' : '→'
+  return `${arrow}${(Math.abs(props.delta) * 100).toFixed(1)}%`
+})
+const deltaClass = computed(() =>
+  props.delta == null || !Number.isFinite(props.delta)
+    ? ''
+    : props.delta > 0 ? 'up' : props.delta < 0 ? 'down' : 'flat')
+
+function onClick(): void {
+  if (props.to) router.push(props.to)
+}
+</script>
+
+<style scoped>
+.kpi-card.link {
+  cursor: pointer;
+}
+.kpi-label {
+  color: var(--el-text-color-secondary);
+  font-size: 13px;
+}
+.kpi-value {
+  font-size: 26px;
+  font-weight: 600;
+  margin: 6px 0 2px;
+  color: var(--el-text-color-primary);
+}
+.kpi-value.danger {
+  color: var(--el-color-danger);
+}
+.kpi-unit {
+  font-size: 13px;
+  font-weight: 400;
+  color: var(--el-text-color-secondary);
+  margin-left: 2px;
+}
+.kpi-delta {
+  font-size: 12px;
+  margin-bottom: 2px;
+}
+.kpi-delta.up {
+  color: var(--el-color-success);
+}
+.kpi-delta.down {
+  color: var(--el-color-danger);
+}
+.kpi-delta.flat {
+  color: var(--el-text-color-secondary);
+}
+.kpi-hint {
+  font-size: 11px;
+  color: var(--el-text-color-secondary);
+}
+</style>

yunkes/src/components/management/MetricDefsDrawer.vue

@@ -0,0 +1,199 @@
+<template>
+  <el-drawer
+    :model-value="modelValue"
+    title="指标口径"
+    direction="rtl"
+    size="480px"
+    @update:model-value="onVisible"
+  >
+    <div v-loading="loading">
+      <el-alert v-if="error" type="error" :title="error" :closable="false" class="defs-alert" />
+
+      <template v-if="defs">
+        <!-- 三方口径差异总述(管理域 vs 现有看板) -->
+        <el-alert type="info" :closable="false" show-icon class="defs-alert">
+          <div class="caliber-text">{{ defs.caliber_notes }}</div>
+        </el-alert>
+
+        <!-- 评分配置摘要:版本/名称/试算/来源 + 样本门槛/等级线 + 维度权重 -->
+        <div class="cfg-card">
+          <div class="cfg-head">
+            <b>{{ defs.score_config.name }}</b>
+            <el-tag size="small" effect="plain">v{{ defs.score_config.version }}</el-tag>
+            <el-tag v-if="defs.score_config.trial" size="small" type="warning">试算</el-tag>
+            <el-tag size="small" :type="defs.config_source === 'db' ? 'primary' : 'info'" effect="plain">
+              {{ defs.config_source === 'db' ? '自定义配置' : '默认配置' }}
+            </el-tag>
+          </div>
+          <div class="cfg-row">样本门槛:{{ guardsText }}</div>
+          <div class="cfg-row">等级线:{{ gradesText }}(低于 D 线为 E)</div>
+          <el-table :data="dims" size="small" class="dims-table">
+            <el-table-column prop="name" label="维度" min-width="110" />
+            <el-table-column label="权重" width="70" align="right">
+              <template #default="{ row }">{{ row.weight }}%</template>
+            </el-table-column>
+            <el-table-column label="状态" width="90" align="center">
+              <template #default="{ row }">
+                <el-tag v-if="row.status === 'pending_data'" size="small" type="info">待数据</el-tag>
+                <el-tag v-else size="small" type="success">可用</el-tag>
+              </template>
+            </el-table-column>
+          </el-table>
+        </div>
+
+        <!-- 指标定义:19 项平铺(端点不按维度分组),按 code 字母序逐项展示 -->
+        <div v-for="[code, d] in defsSorted" :key="code" class="def-item">
+          <div class="def-head">
+            <b>{{ d.name }}</b>
+            <code class="def-code">{{ code }}</code>
+            <span class="def-unit">{{ d.unit }}</span>
+            <el-tag size="small" :type="d.direction === 1 ? 'success' : 'warning'">
+              {{ d.direction === 1 ? '越大越好' : '越小越好' }}
+            </el-tag>
+          </div>
+          <pre v-if="d.formula" class="def-formula">{{ d.formula }}</pre>
+          <div v-if="d.caliber" class="def-caliber">{{ d.caliber }}</div>
+        </div>
+      </template>
+    </div>
+  </el-drawer>
+</template>
+
+<script setup lang="ts">
+// 指标口径抽屉(批次C):口径字典 + 当前评分配置。打开时拉取
+// /management/metric-definitions 并缓存一次(口径变化走配置版本,会话内
+// 不重拉)。definitions 为平铺 19 项(dimensions 只有名称/权重),不做按
+// 维度分组,按 code 字母序逐项列:名称+单位+方向 tag+formula+caliber。
+import { computed, ref, watch } from 'vue'
+import { getMetricDefs, type MetricDefsResp } from '@/api/management'
+
+const props = defineProps<{ modelValue: boolean }>()
+
+const emit = defineEmits<{
+  (e: 'update:modelValue', v: boolean): void
+}>()
+
+const loading = ref(false)
+const error = ref('')
+const defs = ref<MetricDefsResp | null>(null)
+let loaded = false // 缓存一次:首次打开拉取,后续打开直接用
+
+// 打开时取数;成功后缓存(口径变化走配置版本,会话内不重拉),
+// 失败(无 defs 且有 error)则重开抽屉时再试一次
+watch(
+  () => props.modelValue,
+  (visible) => {
+    if (visible && (!loaded || (!defs.value && error.value))) load()
+  },
+)
+
+async function load(): Promise<void> {
+  loaded = true // 请求已发出即视为已加载,失败不反复自动重试
+  loading.value = true
+  error.value = ''
+  try {
+    defs.value = await getMetricDefs()
+  } catch (e) {
+    error.value = e instanceof Error ? e.message : String(e)
+  } finally {
+    loading.value = false
+  }
+}
+
+function onVisible(v: boolean): void {
+  emit('update:modelValue', v)
+}
+
+// 平铺定义按 code 字母序(中文环境 code 恒为 ASCII,localeCompare 稳定)
+const defsSorted = computed(() =>
+  Object.entries(defs.value?.definitions ?? {}).sort(([a], [b]) => a.localeCompare(b)),
+)
+
+// 配置维度行(仅名称/权重/状态)
+const dims = computed(() =>
+  Object.entries(defs.value?.score_config.dimensions ?? {}).map(([key, d]) => ({
+    key,
+    name: d.name,
+    weight: d.weight,
+    status: d.status,
+  })),
+)
+
+const guardsText = computed(() => {
+  const g = defs.value?.score_config.sample_guards ?? {}
+  return Object.entries(g).map(([k, v]) => `${k} ≥ ${v}`).join(' · ') || '--'
+})
+
+const gradesText = computed(() => {
+  const gb = defs.value?.score_config.grade_bounds ?? {}
+  return Object.entries(gb).map(([g, v]) => `${g} ≥ ${v}`).join(' · ') || '--'
+})
+</script>
+
+<style scoped>
+.defs-alert {
+  margin-bottom: 12px;
+}
+.caliber-text {
+  font-size: 12px;
+  line-height: 1.6;
+  white-space: normal;
+}
+.cfg-card {
+  border: 1px solid var(--el-border-color-lighter);
+  border-radius: 6px;
+  padding: 12px;
+  margin-bottom: 16px;
+}
+.cfg-head {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  flex-wrap: wrap;
+  margin-bottom: 8px;
+}
+.cfg-row {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+  margin-bottom: 4px;
+}
+.dims-table {
+  margin-top: 8px;
+}
+.def-item {
+  padding: 10px 0;
+  border-bottom: 1px solid var(--el-border-color-lighter);
+}
+.def-head {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  flex-wrap: wrap;
+}
+.def-code {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+  background: var(--el-fill-color-light);
+  padding: 1px 6px;
+  border-radius: 3px;
+}
+.def-unit {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+}
+.def-formula {
+  margin: 6px 0 0;
+  padding: 6px 10px;
+  font-size: 12px;
+  background: var(--el-fill-color-light);
+  border-radius: 4px;
+  white-space: pre-wrap;
+  word-break: break-all;
+}
+.def-caliber {
+  margin-top: 6px;
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+  line-height: 1.6;
+}
+</style>

yunkes/src/components/management/MetricDrilldownDrawer.vue

@@ -0,0 +1,369 @@
+<template>
+  <el-drawer
+    :model-value="modelValue"
+    :title="card?.title ?? '指标下钻'"
+    direction="rtl"
+    size="760px"
+    @update:model-value="onVisible"
+  >
+    <!-- 无 metric_code 或 drilldown.type==='employee':员工维度异常,下钻
+         明细属批次D 员工分析页——先给原因/建议动作兜底 -->
+    <template v-if="unsupported">
+      <el-empty description="员工分析页批次D上线，此类异常先看建议动作" :image-size="80" />
+      <div v-if="card" class="fallback">
+        <div class="fallback-label">原因</div>
+        <div class="fallback-text">{{ card.reason }}</div>
+        <div class="fallback-label">建议动作</div>
+        <div class="fallback-text">{{ card.suggested_action }}</div>
+      </div>
+    </template>
+
+    <template v-else>
+      <el-alert v-if="error" type="error" :title="error" :closable="false" class="drill-alert" />
+      <el-alert v-if="resp?.note" type="info" :title="resp.note" :closable="false" class="drill-alert" />
+      <el-alert
+        v-if="resp?.truncated"
+        type="warning"
+        title="候选超500，列表可能不全"
+        :closable="false"
+        class="drill-alert"
+      />
+
+      <!-- call_followup:期聚合摘要(期通话/接通/跟进) -->
+      <div v-if="kind === 'calls' && resp?.summary" class="call-summary">
+        <div class="sum-item">
+          <span class="sum-num">{{ resp.summary.call_count ?? 0 }}</span>
+          <span class="sum-label">期通话</span>
+        </div>
+        <div class="sum-item">
+          <span class="sum-num">{{ resp.summary.answered_call_count ?? 0 }}</span>
+          <span class="sum-label">接通</span>
+        </div>
+        <div class="sum-item">
+          <span class="sum-num">{{ resp.summary.call_followup_count ?? 0 }}</span>
+          <span class="sum-label">跟进</span>
+        </div>
+      </div>
+
+      <!-- 首响分位:逐串证据行(后端已按 fr_ms desc),行 click 跳聊天 -->
+      <el-table
+        v-if="kind === 'first_reply'"
+        v-loading="loading"
+        :data="frRows"
+        :row-class-name="clickableRow"
+        @row-click="onFrRowClick"
+      >
+        <el-table-column prop="peer_id" label="客户" min-width="140" show-overflow-tooltip />
+        <el-table-column label="渠道" width="90" align="center">
+          <template #default="{ row }">
+            <el-tag size="small" :type="row.channel === 'whatsapp' ? 'success' : 'primary'">
+              {{ chTag(row.channel) }}
+            </el-tag>
+          </template>
+        </el-table-column>
+        <el-table-column label="串末条时间" width="170">
+          <template #default="{ row }">{{ formatTime(row.thread_end_ts) }}</template>
+        </el-table-column>
+        <el-table-column label="回复时间" width="170">
+          <template #default="{ row }">{{ formatTime(row.reply_ts) }}</template>
+        </el-table-column>
+        <el-table-column label="首响时长" align="right" min-width="110">
+          <template #default="{ row }">{{ formatMsDuration(row.fr_ms) }}</template>
+        </el-table-column>
+      </el-table>
+
+      <!-- 未回串:等待中的客户,行 click 跳聊天(带 msgid 定位最后一条客户消息) -->
+      <el-table
+        v-else-if="kind === 'unreplied'"
+        v-loading="loading"
+        :data="unrepliedRows"
+        :row-class-name="clickableRow"
+        @row-click="onUnrepliedRowClick"
+      >
+        <el-table-column prop="peer_id" label="客户" min-width="140" show-overflow-tooltip />
+        <el-table-column label="渠道" width="90" align="center">
+          <template #default="{ row }">
+            <el-tag size="small" :type="row.channel === 'whatsapp' ? 'success' : 'primary'">
+              {{ chTag(row.channel) }}
+            </el-tag>
+          </template>
+        </el-table-column>
+        <el-table-column label="等待时长" width="140">
+          <template #default="{ row }">{{ formatMsDuration(row.wait_ms) }}</template>
+        </el-table-column>
+        <el-table-column label="预览" min-width="220" show-overflow-tooltip>
+          <template #default="{ row }">{{ row.preview ?? '' }}</template>
+        </el-table-column>
+      </el-table>
+
+      <!-- 降温/沉睡客户名单。lifecycle 行没有 owner_account_id(互动史按
+           (channel,peer) 跨 owner 合并,归属不定)——不提供跳转,批次D 员工
+           分析页补员工账号维度的直达入口 -->
+      <el-table v-else-if="kind === 'lifecycle'" v-loading="loading" :data="lifecycleRows">
+        <el-table-column prop="nickname" label="客户" min-width="160" show-overflow-tooltip />
+        <el-table-column label="渠道" width="90" align="center">
+          <template #default="{ row }">
+            <el-tag size="small" :type="row.channel === 'whatsapp' ? 'success' : 'primary'">
+              {{ chTag(row.channel) }}
+            </el-tag>
+          </template>
+        </el-table-column>
+        <el-table-column label="最后互动日" width="120">
+          <template #default="{ row }">{{ fmtDay(row.last_day) }}</template>
+        </el-table-column>
+        <el-table-column label="状态" width="90" align="center">
+          <template #default="{ row }">
+            <el-tag v-if="row.state === 'dormant'" size="small" type="danger">沉睡</el-tag>
+            <el-tag v-else-if="row.state === 'cooling'" size="small" type="warning">降温</el-tag>
+            <el-tag v-else size="small" type="info">{{ row.state }}</el-tag>
+          </template>
+        </el-table-column>
+      </el-table>
+
+      <!-- 通话跟进:窗口通话列表(通话无渠道过滤维度,后端恒全渠道) -->
+      <el-table v-else-if="kind === 'calls'" v-loading="loading" :data="callRows">
+        <el-table-column label="时间" width="180">
+          <template #default="{ row }">{{ formatTime(row.start_call_time) }}</template>
+        </el-table-column>
+        <el-table-column label="类型" width="120">
+          <template #default="{ row }">{{ callTypeLabel(row.channel) }}</template>
+        </el-table-column>
+        <el-table-column label="号码" min-width="140">
+          <template #default="{ row }">{{ row.call_number ?? '--' }}</template>
+        </el-table-column>
+        <el-table-column label="时长(秒)" align="right" min-width="100">
+          <template #default="{ row }">{{ formatCallDuration(row.call_duration) }}</template>
+        </el-table-column>
+      </el-table>
+
+      <el-pagination
+        :current-page="page"
+        :page-size="PAGE_SIZE"
+        :total="resp?.total ?? 0"
+        layout="total, prev, pager, next"
+        class="pager"
+        @current-change="onPageChange"
+      />
+    </template>
+  </el-drawer>
+</template>
+
+<script setup lang="ts">
+// 指标下钻抽屉(批次C):点异常卡按 metric_code 调 drilldown 白名单端点,
+// 四种明细形态——首响逐串证据/未回串/降温·沉睡名单/通话跟进。抽屉自治
+// 加载(打开即取数,后端分页);员工维度异常(drilldown.type==='employee')
+// 无 metric_code,给批次D 占位 + 原因/建议动作兜底。行 click 跳聊天:
+// WA→ChatTimeline(/chat/whatsapp/{owner}/{peer}),微信→员工聊天窗 single
+// tab(/staff-chat/{owner}/single/{peer},项目惯例路由名跳转,路径等价)。
+import { computed, ref, watch } from 'vue'
+import { useRouter } from 'vue-router'
+import {
+  getEmployeeDrilldown,
+  type AnomalyCard,
+  type DrilldownCode,
+  type DrilldownResp,
+  type MgmtChannel,
+} from '@/api/management'
+import { callTypeLabel, formatCallDuration, formatMsDuration, formatTime } from '@/utils/format'
+
+const props = defineProps<{
+  modelValue: boolean
+  userId: string
+  card: AnomalyCard | null
+  start: number
+  end: number
+  channel: MgmtChannel
+}>()
+
+const emit = defineEmits<{
+  (e: 'update:modelValue', v: boolean): void
+}>()
+
+const router = useRouter()
+
+const PAGE_SIZE = 20
+const page = ref(1)
+const loading = ref(false)
+const error = ref('')
+const resp = ref<DrilldownResp | null>(null)
+
+let seq = 0 // 竞态守卫:快速换卡/翻页时旧响应作废(项目惯例)
+
+// drilldown 白名单(与后端 _DRILLDOWN_CODES 一致;白名单外按不支持兜底)
+const DRILL_CODES: readonly string[] = [
+  'first_reply_p50', 'first_reply_p90', 'unreplied',
+  'cooling_customers', 'dormant_customers', 'call_followup',
+]
+
+const metricCode = computed<DrilldownCode | null>(() => {
+  const c = props.card?.drilldown.query.metric_code
+  return c && DRILL_CODES.includes(c) ? (c as DrilldownCode) : null
+})
+
+// 员工维度异常(无 metric_code / type==='employee')→ 批次D 占位兜底
+const unsupported = computed(
+  () => !metricCode.value || props.card?.drilldown.type === 'employee',
+)
+
+type Kind = 'first_reply' | 'unreplied' | 'lifecycle' | 'calls'
+const kind = computed<Kind | null>(() => {
+  switch (metricCode.value) {
+    case 'first_reply_p50':
+    case 'first_reply_p90':
+      return 'first_reply'
+    case 'unreplied':
+      return 'unreplied'
+    case 'cooling_customers':
+    case 'dormant_customers':
+      return 'lifecycle'
+    case 'call_followup':
+      return 'calls'
+    default:
+      return null
+  }
+})
+
+// 打开(或换卡重开)即取数;start/end/channel 变化由父级在抽屉关闭时发生,
+// 下次打开经 visible 变化自然重查
+watch(
+  () => [props.modelValue, props.card] as const,
+  ([visible]) => {
+    if (visible && !unsupported.value) {
+      page.value = 1
+      load()
+    }
+  },
+)
+
+async function load(): Promise<void> {
+  if (!metricCode.value) return
+  const my = ++seq
+  loading.value = true
+  error.value = ''
+  try {
+    const r = await getEmployeeDrilldown(
+      props.userId, metricCode.value, props.start, props.end,
+      props.channel, page.value, PAGE_SIZE,
+    )
+    if (my !== seq) return
+    resp.value = r
+  } catch (e) {
+    if (my === seq) error.value = e instanceof Error ? e.message : String(e)
+  } finally {
+    // 过期请求不清 loading(新一轮还在飞)也不覆盖 error
+    if (my === seq) loading.value = false
+  }
+}
+
+// 分页翻页:vue-tsc strict 不推 inline-arrow 参数,单列包装(项目惯例)
+function onPageChange(p: number): void {
+  page.value = p
+  load()
+}
+
+function onVisible(v: boolean): void {
+  emit('update:modelValue', v)
+}
+
+// ---- 各分支行类型(items 是 Record<string,unknown>[],按白名单端点形状收窄) ----
+
+type FrRow = {
+  day: number; channel: string; owner_account_id: string; peer_id: string
+  thread_end_ts: number; reply_ts: number; fr_ms: number
+}
+type UnrepliedRow = {
+  peer_id: string; channel: string; owner_account_id: string
+  last_ts: number; wait_ms: number; preview?: string; msg_id?: string
+}
+type LifecycleRow = { friend_id: string; channel: string; nickname: string; last_day: number; state: string }
+type CallRow = { call_id: string; channel: string; call_number: string | null; start_call_time: number; call_duration: number }
+
+const frRows = computed<FrRow[]>(() =>
+  kind.value === 'first_reply' ? (resp.value?.items ?? []) as FrRow[] : [])
+const unrepliedRows = computed<UnrepliedRow[]>(() =>
+  kind.value === 'unreplied' ? (resp.value?.items ?? []) as UnrepliedRow[] : [])
+const lifecycleRows = computed<LifecycleRow[]>(() =>
+  kind.value === 'lifecycle' ? (resp.value?.items ?? []) as LifecycleRow[] : [])
+const callRows = computed<CallRow[]>(() =>
+  kind.value === 'calls' ? (resp.value?.items ?? []) as CallRow[] : [])
+
+// ---- 展示辅助 ----
+
+// 渠道短标签:异常下钻列窄,微信/WA 两字(全称 channelLabel 留给宽列页面)
+const CHANNEL_TAG: Record<string, string> = { wechat: '微信', whatsapp: 'WA' }
+const chTag = (c: string): string => CHANNEL_TAG[c] ?? c
+
+// yyyymmdd(20260810)→ 2026-08-10:最后互动日跨月/年,保留完整年份
+const fmtDay = (d: number): string =>
+  `${String(d).slice(0, 4)}-${String(d).slice(4, 6)}-${String(d).slice(6, 8)}`
+
+// ---- 行点击跳聊天 ----
+
+function goChat(owner: string, peer: string, channel: string, msgId?: string): void {
+  if (channel === 'whatsapp') {
+    router.push({ name: 'chat', params: { channel: 'whatsapp', ownerId: owner, talkerId: peer } })
+    return
+  }
+  router.push({
+    name: 'staff-chat',
+    params: { ownerId: owner, tab: 'single', talkerId: peer },
+    query: msgId ? { msgid: msgId } : undefined,
+  })
+}
+
+// owner 理论恒非空(fact/未回清单均来自 owner 维度查询),防御判空不亏
+function clickableRow({ row }: { row: { owner_account_id?: string } }): string {
+  return row.owner_account_id ? 'yk-clickable-row' : ''
+}
+
+function onFrRowClick(row: FrRow): void {
+  goChat(row.owner_account_id, row.peer_id, row.channel)
+}
+
+// 微信跳转带 ?msgid= 定位最后一条客户消息(同 UnrepliedView 惯例)
+function onUnrepliedRowClick(row: UnrepliedRow): void {
+  if (!row.owner_account_id) return
+  goChat(row.owner_account_id, row.peer_id, row.channel, row.msg_id)
+}
+</script>
+
+<style scoped>
+.drill-alert {
+  margin-bottom: 12px;
+}
+.call-summary {
+  display: flex;
+  gap: 32px;
+  margin-bottom: 12px;
+}
+.sum-item {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+}
+.sum-num {
+  font-size: 22px;
+  font-weight: 600;
+}
+.sum-label {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+}
+.fallback {
+  margin-top: 8px;
+}
+.fallback-label {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+  margin: 12px 0 4px;
+}
+.fallback-text {
+  font-size: 13px;
+  color: var(--el-text-color-primary);
+}
+.pager {
+  margin-top: 12px;
+  display: flex;
+  justify-content: flex-end;
+}
+</style>

yunkes/src/composables/__tests__/useManagementFilters.spec.ts

@@ -0,0 +1,139 @@
+// useManagementFilters 单测(vitest)。本文件不进 app 构建/类型检查
+// (tsconfig.app.json exclude __tests__,vitest 自行解析类型),
+// `npm run test` 执行。
+//
+// composable 依赖 vue-router 注入,仓库无先例;node 环境(无 DOM),
+// 选用 createApp + app.use(router) + app.runWithContext() 提供真实
+// route/router 注入,不 mock、不挂载组件。
+import { describe, expect, it, vi } from 'vitest'
+import { createApp } from 'vue'
+import { createMemoryHistory, createRouter } from 'vue-router'
+import { presetRange, useManagementFilters } from '../useManagementFilters'
+
+/** 建一个带 memory 路由的 filters 实例;query 为初始 URL query。 */
+async function setup(query: Record<string, string> = {}) {
+  const router = createRouter({
+    history: createMemoryHistory(),
+    routes: [{ path: '/', component: { render: () => null } }],
+  })
+  const app = createApp({ render: () => null })
+  app.use(router)
+  await router.push({ path: '/', query })
+  const filters = app.runWithContext(() => useManagementFilters())
+  return { router, filters }
+}
+
+const D = (ymdNum: number) => new Date(Math.floor(ymdNum / 10000), (Math.floor(ymdNum / 100) % 100) - 1, ymdNum % 100)
+
+describe('presetRange(注入 today,确定性日期)', () => {
+  it('last7 → 含今天共 7 天(2026-09-10 → 20260904..20260910)', () => {
+    expect(presetRange('last7', D(20260910))).toEqual({ start: 20260904, end: 20260910 })
+  })
+
+  it('last30 → 30 天窗(2026-09-10 → 20260812..20260910)', () => {
+    expect(presetRange('last30', D(20260910))).toEqual({ start: 20260812, end: 20260910 })
+  })
+
+  it('thisMonth → 月初到今天(2026-09-10 → 20260901..20260910)', () => {
+    expect(presetRange('thisMonth', D(20260910))).toEqual({ start: 20260901, end: 20260910 })
+  })
+
+  it('lastMonth → 上月整月(2026-08-15 → 20260701..20260731,31 天月)', () => {
+    expect(presetRange('lastMonth', D(20260815))).toEqual({ start: 20260701, end: 20260731 })
+  })
+
+  it('lastMonth 30 天月(2026-07-15 → 20260601..20260630)', () => {
+    expect(presetRange('lastMonth', D(20260715))).toEqual({ start: 20260601, end: 20260630 })
+  })
+
+  it('lastMonth 跨年(2026-01-15 → 20251201..20251231)', () => {
+    expect(presetRange('lastMonth', D(20260115))).toEqual({ start: 20251201, end: 20251231 })
+  })
+
+  it('today → 今天单日(2026-09-10 → 20260910..20260910)', () => {
+    expect(presetRange('today', D(20260910))).toEqual({ start: 20260910, end: 20260910 })
+  })
+
+  it('yesterday → 昨日单日(2026-09-10 → 20260909..20260909)', () => {
+    expect(presetRange('yesterday', D(20260910))).toEqual({ start: 20260909, end: 20260909 })
+  })
+
+  it('thisWeek 周中(2026-07-02 周四 → 周一到今天 20260629..20260702)', () => {
+    expect(presetRange('thisWeek', D(20260702))).toEqual({ start: 20260629, end: 20260702 })
+  })
+
+  it('thisWeek 周一当天 → 单日(2026-06-29 周一 → 20260629..20260629)', () => {
+    expect(presetRange('thisWeek', D(20260629))).toEqual({ start: 20260629, end: 20260629 })
+  })
+
+  it('lastWeek 跨月边界(2026-07-02 周四 → 上周一..上周日 20260622..20260628)', () => {
+    expect(presetRange('lastWeek', D(20260702))).toEqual({ start: 20260622, end: 20260628 })
+  })
+
+  it('custom → 今天单日兜底(2026-09-10 → 20260910..20260910)', () => {
+    expect(presetRange('custom', D(20260910))).toEqual({ start: 20260910, end: 20260910 })
+  })
+})
+
+describe('useManagementFilters(URL query 为真源)', () => {
+  it('空 query → channel=all / start,end=last30 默认 / compare=previous', async () => {
+    const { filters } = await setup()
+    expect(filters.channel.value).toBe('all')
+    expect(filters.compare.value).toBe('previous')
+    // 默认值与 presetRange('last30')(真实今天)同源,同日执行必一致
+    expect(filters.start.value).toBe(presetRange('last30').start)
+    expect(filters.end.value).toBe(presetRange('last30').end)
+  })
+
+  it('合法 query → 原样读出(wechat / 日期 / team_median)', async () => {
+    const { filters } = await setup({
+      channel: 'wechat',
+      start: '20250101',
+      end: '20250131',
+      compare: 'team_median',
+    })
+    expect(filters.channel.value).toBe('wechat')
+    expect(filters.start.value).toBe(20250101)
+    expect(filters.end.value).toBe(20250131)
+    expect(filters.compare.value).toBe('team_median')
+  })
+
+  it('非法 query 值 → 回退默认(channel=xx / start=abc / end=19990101 早于下限 / compare=foo)', async () => {
+    const { filters } = await setup({ channel: 'xx', start: 'abc', end: '19990101', compare: 'foo' })
+    expect(filters.channel.value).toBe('all')
+    expect(filters.compare.value).toBe('previous')
+    expect(filters.start.value).toBe(presetRange('last30').start)
+    expect(filters.end.value).toBe(presetRange('last30').end)
+  })
+
+  it('apply({channel}) → query 更新且其余参数保留', async () => {
+    const { router, filters } = await setup({ compare: 'team_median' })
+    filters.apply({ channel: 'whatsapp' })
+    await vi.waitFor(() => expect(router.currentRoute.value.query.channel).toBe('whatsapp'))
+    expect(filters.channel.value).toBe('whatsapp')
+    // 未 patch 的 compare 原样保留
+    expect(router.currentRoute.value.query.compare).toBe('team_median')
+    expect(filters.compare.value).toBe('team_median')
+  })
+
+  it('applyPreset(预设) → 清掉 query 里的 start/end,默认值(仍为 last30)生效', async () => {
+    const { router, filters } = await setup({ start: '20250101', end: '20250131', channel: 'wechat' })
+    filters.applyPreset('last7')
+    await vi.waitFor(() => expect(router.currentRoute.value.query.start).toBeUndefined())
+    expect(router.currentRoute.value.query.end).toBeUndefined()
+    // channel 不在清理范围,保留
+    expect(filters.channel.value).toBe('wechat')
+    // 清掉后回退默认(last30,与真实今天同源)
+    expect(filters.start.value).toBe(presetRange('last30').start)
+    expect(filters.end.value).toBe(presetRange('last30').end)
+  })
+
+  it("applyPreset('custom', {...}) → query 带具体日期", async () => {
+    const { router, filters } = await setup()
+    filters.applyPreset('custom', { start: 20260101, end: 20260131 })
+    await vi.waitFor(() => expect(router.currentRoute.value.query.start).toBe('20260101'))
+    expect(router.currentRoute.value.query.end).toBe('20260131')
+    expect(filters.start.value).toBe(20260101)
+    expect(filters.end.value).toBe(20260131)
+  })
+})

yunkes/src/composables/useManagementFilters.ts

@@ -0,0 +1,91 @@
+// 管理页统一筛选(URL query 为真源——刷新/分享保持)。批次C:驾驶舱用;
+// 批次D 员工页复用(view 等额外参数由页面自行挂 query)。
+import { computed } from 'vue'
+import { useRoute, useRouter } from 'vue-router'
+
+export type Preset = 'today' | 'yesterday' | 'last7' | 'last30' | 'thisWeek' | 'lastWeek' | 'thisMonth' | 'lastMonth' | 'custom'
+export const CHANNELS = [
+  { value: 'all', label: '全部渠道' },
+  { value: 'wechat', label: '微信' },
+  { value: 'whatsapp', label: 'WhatsApp' },
+] as const
+
+function ymd(d: Date): number {
+  return d.getFullYear() * 10000 + (d.getMonth() + 1) * 100 + d.getDate()
+}
+function addDays(d: Date, n: number): Date {
+  const x = new Date(d)
+  x.setDate(x.getDate() + n)
+  return x
+}
+
+/** 预设 → [start,end] yyyymmdd。 */
+export function presetRange(p: Preset, today = new Date()): { start: number; end: number } {
+  const t0 = new Date(today.getFullYear(), today.getMonth(), today.getDate())
+  // 周一为一周起点(getDay 周日=0 → 偏移成周一=0..周日=6)
+  const dow = (t0.getDay() + 6) % 7
+  switch (p) {
+    case 'today':
+      return { start: ymd(t0), end: ymd(t0) }
+    case 'yesterday':
+      return { start: ymd(addDays(t0, -1)), end: ymd(addDays(t0, -1)) }
+    case 'thisWeek':
+      // 周一..今天;周一当天即单日
+      return { start: ymd(addDays(t0, -dow)), end: ymd(t0) }
+    case 'lastWeek': {
+      const monday = addDays(t0, -dow - 7)
+      return { start: ymd(monday), end: ymd(addDays(monday, 6)) }
+    }
+    case 'last7':
+      return { start: ymd(addDays(t0, -6)), end: ymd(t0) }
+    case 'last30':
+      return { start: ymd(addDays(t0, -29)), end: ymd(t0) }
+    case 'thisMonth':
+      return { start: ymd(new Date(t0.getFullYear(), t0.getMonth(), 1)), end: ymd(t0) }
+    case 'lastMonth': {
+      const first = new Date(t0.getFullYear(), t0.getMonth() - 1, 1)
+      const last = new Date(t0.getFullYear(), t0.getMonth(), 0)
+      return { start: ymd(first), end: ymd(last) }
+    }
+  }
+  // custom/未知:今天单日
+  return { start: ymd(t0), end: ymd(t0) }
+}
+
+export function useManagementFilters() {
+  const route = useRoute()
+  const router = useRouter()
+
+  const channel = computed<'all' | 'wechat' | 'whatsapp'>(() => {
+    const v = route.query.channel
+    return v === 'wechat' || v === 'whatsapp' ? v : 'all'
+  })
+  const start = computed(() => {
+    const v = Number(route.query.start)
+    return Number.isFinite(v) && v >= 20000101 && v <= 99991231 ? v : presetRange('last30').start
+  })
+  const end = computed(() => {
+    const v = Number(route.query.end)
+    return Number.isFinite(v) && v >= 20000101 && v <= 99991231 ? v : presetRange('last30').end
+  })
+  const compare = computed(() => {
+    const v = route.query.compare
+    return v === 'personal_baseline' || v === 'team_median' ? v : 'previous'
+  })
+
+  function apply(patch: Record<string, string | number | undefined>) {
+    const q: Record<string, string> = {}
+    for (const [k, v] of Object.entries({ ...route.query, ...patch })) {
+      if (v !== undefined && v !== null && v !== '') q[k] = String(v)
+    }
+    router.replace({ query: q })
+  }
+
+  // 预设切换:清掉 start/end 让默认值生效,custom 则带具体日期
+  function applyPreset(p: Preset, custom?: { start: number; end: number }) {
+    if (p === 'custom' && custom) apply({ start: custom.start, end: custom.end })
+    else apply({ start: undefined, end: undefined })
+  }
+
+  return { channel, start, end, compare, apply, applyPreset, presetRange }
+}

yunkes/src/layouts/MainLayout.vue

@@ -11,9 +11,11 @@ const channelStore = useChannelStore()
 
 // `el-menu` with `router` mode; we drive `default-active` from the current path
 // so the active item highlights on load and on browser back/forward.
+// 带参路由(路径与菜单 index 不等)按 route.name 映射父菜单路径。
 const activeMenu = computed(() => {
   if (route.name === 'chat') return '/customers'
   if (route.name === 'group-chat') return '/groups'
+  if (route.name === 'management-employees-detail') return '/management/employees'
   return route.path
 })
 
@@ -99,6 +101,19 @@ function logout(): void {
             全局搜索
           </el-menu-item>
 
+          <!-- 经营管理 -->
+          <el-sub-menu index="management">
+            <template #title>
+              <span class="yk-sidenav__group">经营管理</span>
+            </template>
+            <el-menu-item index="/management/dashboard" @click="goPlain('/management/dashboard')">
+              管理驾驶舱
+            </el-menu-item>
+            <el-menu-item index="/management/employees" @click="goPlain('/management/employees')">
+              员工分析
+            </el-menu-item>
+          </el-sub-menu>
+
           <!-- 数据分析 -->
           <el-sub-menu index="analytics">
             <template #title>

yunkes/src/router/index.ts

@@ -92,6 +92,31 @@ const routes: RouteRecordRaw[] = [
     component: () => import('@/views/analytics/SensitiveView.vue'),
     meta: { title: '敏感词' },
   },
+  {
+    // 经营管理板块(批次C):驾驶舱;员工分析/考核快照批次D/E再加
+    path: '/management/dashboard',
+    name: 'management-dashboard',
+    component: () => import('@/views/management/ManagementDashboardView.vue'),
+    meta: { title: '管理驾驶舱' },
+  },
+  {
+    // 员工分析(批次D):四视图总览;详情路由 /management/employees/{user_id}
+    // 由批次D后续任务补挂(D2)
+    path: '/management/employees',
+    name: 'management-employees',
+    component: () => import('@/views/management/EmployeeAnalyticsView.vue'),
+    meta: { title: '员工分析' },
+  },
+  {
+    // 员工详情(批次D2):总览页姓名下钻;query 真源 channel/start/end/section
+    // (section=当前页签,刷新回到该页签)。静态路由 /management/employees
+    // 先注册,带参路由在后——vue-router 按注册序精确匹配,静态优先命中。
+    path: '/management/employees/:userId',
+    name: 'management-employees-detail',
+    component: () => import('@/views/management/EmployeeAnalyticsDetailView.vue'),
+    props: true,
+    meta: { title: '员工分析详情' },
+  },
   {
     path: '/chat/:channel/:ownerId/:talkerId?',
     name: 'chat',

yunkes/src/utils/csvExport.ts

@@ -10,6 +10,9 @@
  *     ],
  *     filename: '微信客户列表',
  *   })
+ *
+ * Optional `preamble: string[]` writes comment lines (口径/窗口注释等) before
+ * the header — each line occupies the first column of its own row.
  */
 
 export interface CsvColumn<T> {
@@ -30,6 +33,12 @@ export interface ExportOptions<T> {
   pageSize?: number
   /** Max rows to export (safety cap, default 10000) */
   maxRows?: number
+  /**
+   * Optional comment lines written before the header row (batch D: management
+   * employee CSV carries caliber/window notes so the export is self-describing
+   * outside the app). Each line becomes a single-cell row in the first column.
+   */
+  preamble?: string[]
 }
 
 function escapeCsv(value: string | number | null | undefined): string {
@@ -43,7 +52,7 @@ function escapeCsv(value: string | number | null | undefined): string {
 }
 
 export async function exportListToCsv<T>(options: ExportOptions<T>): Promise<{ rows: number; filename: string }> {
-  const { fetchPage, columns, filename, pageSize = 100, maxRows = 10000 } = options
+  const { fetchPage, columns, filename, pageSize = 100, maxRows = 10000, preamble } = options
 
   // Fetch all pages
   const allRows: T[] = []
@@ -68,7 +77,7 @@ export async function exportListToCsv<T>(options: ExportOptions<T>): Promise<{ r
       return escapeCsv(val as string | number | null | undefined)
     }).join(',')
   )
-  const csv = '' + header + '\n' + lines.join('\n') // BOM for Excel Chinese support
+  const csv = '' + [...(preamble ?? []).map((p) => escapeCsv(p)), header, ...lines].join('\n') // BOM for Excel Chinese support
 
   // Trigger download
   const blob = new Blob([csv], { type: 'text/csv;charset=utf-8' })

yunkes/src/utils/format.ts

@@ -55,6 +55,28 @@ export function formatDuration(seconds?: number | null): string {
   return `${m}'${String(rem).padStart(2, '0')}"`
 }
 
+// ---------------------------------------------------------------------------
+// 经营管理板块共享格式化(批次C)——自 DashboardView 本地 fmtFr/fmtPct 提升,
+// 驾驶舱 KPI / 异常榜 / 下钻抽屉与旧看板共用同一展示口径。
+// ---------------------------------------------------------------------------
+
+/**
+ * 毫秒时长 → `<1h 显「X分Y秒」/ ≥1h 显「X小时Y分」`;null(无样本)显 `-`。
+ * 与 formatDuration(秒,聊天气泡口径)区分:此处是指标口径(首响等)。
+ */
+export function formatMsDuration(ms?: number | null): string {
+  if (ms == null) return '-'
+  const totalSec = Math.round(ms / 1000)
+  const mins = Math.floor(totalSec / 60)
+  if (mins < 60) return `${mins}分${totalSec % 60}秒`
+  return `${Math.floor(mins / 60)}小时${mins % 60}分`
+}
+
+/** 比率(0-1) → 百分比 1 位小数(回复率/接通率等);null 显 `-`。 */
+export function formatRatio(r?: number | null): string {
+  return r == null ? '-' : `${(r * 100).toFixed(1)}%`
+}
+
 /** Friendly label for a Channel value. */
 export function channelLabel(channel?: string | null): string {
   switch (channel) {

yunkes/src/utils/groupFields.ts

@@ -77,7 +77,7 @@ export const GROUP_FIELD_GROUPS: GroupFieldGroup[] = [
   },
   {
     title: '成员',
-    keys: ['memberCount', 'memberIds'],
+    keys: ['memberCount'],  // memberIds 原始串由群详情成员墙替代(2026-09-10)
   },
   {
     title: '归属微信与群主',
@@ -105,7 +105,11 @@ export const GROUP_FIELD_GROUPS: GroupFieldGroup[] = [
 ]
 
 /** Every key already surfaced via a group (so 其他 can skip duplicates). */
-const KNOWN_KEYS = new Set(GROUP_FIELD_GROUPS.flatMap((g) => g.keys))
+const KNOWN_KEYS = new Set([
+  ...GROUP_FIELD_GROUPS.flatMap((g) => g.keys),
+  // 原始 wxid 串由群详情成员墙替代,不在任何区(含「其他」)显示(2026-09-10)
+  'memberIds',
+])
 
 /** Resolve the 中文 label for a raw_json key (falls back to the key). */
 export function fieldLabel(key: string): string {

yunkes/src/views/ChatTimeline.vue

@@ -53,6 +53,13 @@ const channelTyped = computed(() => props.channel as Channel)
 /** True when this timeline is a group chat (drives the query + title). */
 const isGroup = computed(() => !!props.roomId)
 
+/**
+ * 专注模式(?bare=1):群统计等列表入口的「查看详情」——隐藏会话侧栏,
+ * 对齐云客群详情页(无好友/群列表,纯聊天记录窗)。员工聊天窗口入口
+ * (不带 bare)侧栏常驻(2026-09-09 修复保持)。
+ */
+const isBare = computed(() => route.query.bare === '1')
+
 /** 当前会话类型(高亮 sidebar + 驱动空态)。账号级入口(无 talkerId/roomId)→ null。 */
 const activeType = computed<'friend' | 'group' | null>(() =>
   isGroup.value ? 'group' : props.talkerId ? 'friend' : null,
@@ -344,8 +351,11 @@ onMounted(() => {
     <div class="yk-chat__body">
       <!-- 侧栏常驻(含群聊路由):好友/群列表随时可切,对齐云客聊天窗体验。
            旧版 v-if="!isGroup" 在群路由下藏侧栏,点群后「好友列表/群列表」
-           消失(2026-09-09 用户报);onSelectSession 本就双类型导航。 -->
+           消失(2026-09-09 用户报);onSelectSession 本就双类型导航。
+           bare 模式(群统计「查看详情」入口)例外——纯聊天记录窗无侧栏,
+           对齐云客群详情页(2026-09-10 用户反馈)。 -->
       <ChatSidebar
+        v-if="!isBare"
         :channel="channelTyped"
         :owner-id="props.ownerId"
         :active-type="activeType"

yunkes/src/views/GroupList.vue

@@ -3,9 +3,8 @@ import { computed, onMounted, reactive, ref, watch } from 'vue'
 import { useRoute, useRouter } from 'vue-router'
 import { ElMessage } from 'element-plus'
 import { Download } from '@element-plus/icons-vue'
-import { getAccounts, getGroups } from '@/api'
+import { getAccounts, getGroupMembers, getGroups } from '@/api'
-import { downloadBlob } from '@/api/client'
+import type { Account, Channel, Group, GroupMember } from '@/api/types'
-import type { Account, Channel, Group } from '@/api/types'
 import { useChannelStore } from '@/stores/channel'
 import { channelLabel, formatTime } from '@/utils/format'
 import { exportListToCsv } from '@/utils/csvExport'
@@ -190,6 +189,9 @@ function viewChat(row: Group): void {
   router.push({
     name: 'group-chat',
     params: { channel: row.channel, ownerId: row.owner_account_id, roomId: row.room_id },
+    // bare=专注模式:无会话侧栏,对齐云客群详情页(2026-09-10)。
+    // 员工聊天窗口入口不带 bare,侧栏常驻。
+    query: row.channel === 'wechat' ? { bare: '1' } : undefined,
   })
 }
 /** drawer 内「查看聊天记录」入口：drawerGroup 是 ref<Group|null>，模板嵌套不保证窄化，用 wrapper 守卫。 */
@@ -199,28 +201,6 @@ function viewChatFromDrawer(): void {
   viewChat(row)
 }
 
-/**
- * 微信群「导出HTML聊天记录」→ 后端 /api/export/chat-html（room_id）。
- * 云客群列表导出按钮直接导出，无时间选择 modal（仅微信客户有「请选择时间」）。
- * WA 群 tab 无此操作（云客 WA 群列表无导出）。
- */
-async function exportGroupHtml(row: Group): Promise<void> {
-  if (!row.owner_account_id || !row.room_id) {
-    ElMessage.warning('该群缺少归属账号/群标识，无法导出')
-    return
-  }
-  try {
-    await downloadBlob('/export/chat-html', {
-      channel: row.channel,
-      owner_account_id: row.owner_account_id,
-      room_id: row.room_id,
-    })
-    ElMessage.success('导出已开始')
-  } catch (e) {
-    ElMessage.error(`导出失败，请稍后重试：${(e as Error).message}`)
-  }
-}
-
 // ---- header 导出：当前 tab 渠道全量群 CSV（含当前员工筛选） ----
 const exporting = ref(false)
 
@@ -267,9 +247,35 @@ function clearOwnerFilter(): void {
 }
 
 // ---- drawer ----
+// 群成员墙(2026-09-10):点开群详情拉 members,渲染头像+昵称(消息派生群昵称
+// 优先,customer 好友昵称兜底,都没有回退 wxid)。
+const drawerMembers = ref<GroupMember[]>([])
+const membersLoading = ref(false)
+
+async function loadDrawerMembers(roomId: string): Promise<void> {
+  drawerMembers.value = []
+  membersLoading.value = true
+  try {
+    drawerMembers.value = await getGroupMembers(roomId)
+  } catch {
+    drawerMembers.value = [] // 静默:成员区空态
+  } finally {
+    membersLoading.value = false
+  }
+}
+
+function memberLabel(m: GroupMember): string {
+  return m.nickname || m.display_name || m.member_id
+}
+
 function openDrawer(row: Group): void {
   drawerGroup.value = row
   drawerOpen.value = true
+  if (row.channel === 'wechat') {
+    loadDrawerMembers(row.room_id)
+  } else {
+    drawerMembers.value = []
+  }
 }
 const drawerSections = computed(() =>
   drawerGroup.value ? buildGroupSections(drawerGroup.value) : [],
@@ -444,11 +450,9 @@ onMounted(() => {
           <el-table-column label="沟通消息数" width="105" align="right">
             <template #default="{ row }">{{ row.window_msg_count ?? '-' }}</template>
           </el-table-column>
-          <el-table-column label="操作" width="220" fixed="right" align="center">
+          <el-table-column label="操作" width="110" fixed="right" align="center">
             <template #default="{ row }">
-              <el-button link type="primary" size="small" @click.stop="openDrawer(row)">查看详情</el-button>
+              <el-button link type="primary" size="small" @click.stop="viewChat(row)">查看详情</el-button>
-              <el-button link type="primary" size="small" @click.stop="viewChat(row)">查看聊天记录</el-button>
-              <el-button link type="primary" size="small" @click.stop="exportGroupHtml(row)">导出HTML</el-button>
             </template>
           </el-table-column>
         </el-table>
@@ -571,6 +575,26 @@ onMounted(() => {
             </div>
           </div>
         </div>
+        <!-- 群成员墙:头像+昵称(群昵称>好友昵称兜底>wxid),替代原始 memberIds 串 -->
+        <div v-if="drawerGroup.channel === 'wechat'" class="yk-drawer__section">
+          <el-divider content-position="left">
+            群成员（{{ drawerMembers.length || (drawerGroup.member_count ?? 0) }}）
+          </el-divider>
+          <div v-loading="membersLoading" class="yk-members">
+            <div v-if="!membersLoading && drawerMembers.length === 0" class="yk-members__empty">
+              暂无成员数据（群消息派生，发过言/是本司好友的成员可识别）
+            </div>
+            <div v-for="m in drawerMembers" :key="m.member_id" class="yk-members__item">
+              <el-avatar :size="34" :src="m.avatar || undefined">
+                {{ memberLabel(m).slice(0, 1) }}
+              </el-avatar>
+              <div class="yk-members__meta">
+                <div class="yk-members__name" :title="memberLabel(m)">{{ memberLabel(m) }}</div>
+                <div v-if="memberLabel(m) !== m.member_id" class="yk-members__id">{{ m.member_id }}</div>
+              </div>
+            </div>
+          </div>
+        </div>
         <div v-for="section in drawerSections" :key="section.title" class="yk-drawer__section">
           <el-divider content-position="left">{{ section.title }}</el-divider>
           <dl class="yk-drawer__kv">
@@ -619,4 +643,46 @@ onMounted(() => {
 .yk-group-owner__meta {
   min-width: 0;
 }
+
+/* 群成员墙:头像+昵称网格(2026-09-10) */
+.yk-members {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
+  gap: 10px;
+  max-height: 320px;
+  overflow-y: auto;
+  min-height: 48px;
+}
+.yk-members__empty {
+  grid-column: 1 / -1;
+  color: var(--el-text-color-secondary);
+  font-size: 12px;
+  padding: 8px 0;
+}
+.yk-members__item {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  min-width: 0;
+}
+.yk-members__meta {
+  min-width: 0;
+  display: flex;
+  flex-direction: column;
+  line-height: 1.35;
+}
+.yk-members__name {
+  font-size: 13px;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+.yk-members__id {
+  font-size: 11px;
+  color: var(--el-text-color-secondary);
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
 </style>

yunkes/src/views/analytics/DashboardView.vue

@@ -143,16 +143,16 @@
           <template #default="{ row }">{{ fmt(row.first_contact_cnt) }}</template>
         </el-table-column>
         <el-table-column label="首响" align="right">
-          <template #default="{ row }">{{ fmtFr(row.fr_avg_ms) }}</template>
+          <template #default="{ row }">{{ formatMsDuration(row.fr_avg_ms) }}</template>
         </el-table-column>
         <el-table-column label="回复率" align="right">
-          <template #default="{ row }">{{ fmtPct(row.reply_rate) }}</template>
+          <template #default="{ row }">{{ formatRatio(row.reply_rate) }}</template>
         </el-table-column>
         <el-table-column label="通话时长" align="right">
           <template #default="{ row }">{{ fmtDur(row.call_seconds) }}</template>
         </el-table-column>
         <el-table-column label="接通率" align="right">
-          <template #default="{ row }">{{ fmtPct(row.answer_rate) }}</template>
+          <template #default="{ row }">{{ formatRatio(row.answer_rate) }}</template>
         </el-table-column>
         <el-table-column label="删粉/拉黑" align="right">
           <template #default="{ row }">{{ fmtDelBlocked(row) }}</template>
@@ -187,7 +187,7 @@ import {
   type StaffRankingRow,
 } from '@/api/analytics'
 import { useChart } from '@/composables/useChart'
-import { formatTimeShort } from '@/utils/format'
+import { formatMsDuration, formatRatio, formatTimeShort } from '@/utils/format'
 
 const router = useRouter()
 
@@ -295,16 +295,8 @@ const fmt = (n: number | undefined | null) => (n ?? 0).toLocaleString()
 const assets = computed<CustomerAssets | null>(() => data.value?.customer_assets ?? null)
 
 // ── 排行新列格式化 ──
-// 首响:<1h 显「X分Y秒」,≥1h 显「X小时Y分」;null(无样本)显 '-'
+// 首响/百分比用共享版(formatMsDuration/formatRatio,utils/format——批次C
-const fmtFr = (ms: number | null) => {
+// 驾驶舱组件同口径,原本地 fmtFr/fmtPct 已提升去重)
-  if (ms == null) return '-'
-  const totalSec = Math.round(ms / 1000)
-  const mins = Math.floor(totalSec / 60)
-  if (mins < 60) return `${mins}分${totalSec % 60}秒`
-  return `${Math.floor(mins / 60)}小时${mins % 60}分`
-}
-// 百分比 1 位小数(回复率/接通率);null 显 '-'
-const fmtPct = (v: number | null) => (v == null ? '-' : `${(v * 100).toFixed(1)}%`)
 // 通话时长(秒):<1h 显「X分」,否则「X小时Y分」;0/null 显 '-'
 const fmtDur = (s: number | null) => {
   if (!s) return '-'

yunkes/src/views/management/EmployeeAnalyticsView.vue

@@ -0,0 +1,726 @@
+<template>
+  <div class="emp-analytics">
+    <!-- 筛选栏:渠道/时间(URL 真源)+口径入口;aside=对比模式选择器。
+         compare 仅客户端显示态:employees 行恒带四对比(current/prev/
+         baseline/median),后端 employees 端点也无 compare 入参 -->
+    <ManagementFilterBar
+      :channel="channel"
+      :start="start"
+      :end="end"
+      :compare="compare"
+      @apply="apply"
+      @open-defs="defsVisible = true"
+    >
+      <template #aside>
+        <el-select
+          :model-value="compare"
+          class="compare-select"
+          @change="onCompareChange"
+        >
+          <el-option label="对比:上期" value="previous" />
+          <el-option label="对比:个人基线" value="personal_baseline" />
+          <el-option label="对比:团队中位数" value="team_median" />
+        </el-select>
+      </template>
+    </ManagementFilterBar>
+
+    <!-- 工具行:关键词(防抖)/在职状态/四视图;口径入口在筛选栏自带 -->
+    <div class="toolbar">
+      <el-input
+        v-model="keywordInput"
+        placeholder="姓名/ID"
+        clearable
+        :prefix-icon="Search"
+        class="kw-input"
+      />
+      <el-select :model-value="status" class="status-select" @change="onStatusChange">
+        <el-option label="全部" value="all" />
+        <el-option label="在职" value="on_job" />
+        <el-option label="离线" value="offline" />
+      </el-select>
+      <el-radio-group :model-value="view" @change="onViewChange">
+        <el-radio-button value="management">管理概览</el-radio-button>
+        <el-radio-button value="workload">工作负载</el-radio-button>
+        <el-radio-button value="service">服务质量</el-radio-button>
+        <el-radio-button value="customer">客户经营</el-radio-button>
+      </el-radio-group>
+      <div class="spacer" />
+      <el-button
+        type="primary"
+        :disabled="selectedRows.length < 2 || selectedRows.length > 5"
+        @click="compareVisible = true"
+      >对比已选 ({{ selectedRows.length }})</el-button>
+      <el-button :loading="exporting" @click="exportCsv">导出CSV</el-button>
+      <!-- trial 常显:载荷无页面级 trial 键,批次C/D 评分处于试算期(同驾驶舱) -->
+      <DataAsOfBadge
+        :data-as-of="resp?.data_as_of ?? null"
+        :metric-version="resp?.metric_version"
+        :trial="true"
+        :config-source="resp?.config_source"
+      />
+    </div>
+
+    <!-- 错误态:alert+重试;resp 不清空,保留上次成功数据 -->
+    <el-alert v-if="loadError" type="error" :closable="false" class="top-alert">
+      <template #title>
+        <span>{{ loadError }}</span>
+        <el-button size="small" type="primary" class="retry-btn" @click="load">重试</el-button>
+      </template>
+    </el-alert>
+
+    <!-- 主表:服务端排序/分页(sortable=custom,数据恒随 URL 查询);
+         列组随视图切换;多选(跨页保留)供对比抽屉。非排序列头 hover 提示,
+         关键列头「?」点击开指标口径抽屉 -->
+    <el-table
+      ref="tableRef"
+      v-loading="loading"
+      :data="rows"
+      row-key="user_id"
+      :default-sort="defaultSort"
+      @selection-change="onSelectionChange"
+      @sort-change="onSortChange"
+    >
+      <el-table-column type="selection" width="42" reserve-selection />
+      <el-table-column label="姓名" min-width="150">
+        <template #default="{ row }">
+          <!-- 带窗进详情:goDetail 随行 channel/start/end/compare(D3) -->
+          <el-link type="primary" underline="never" @click="goDetail(row)">
+            {{ row.name || row.user_id }}
+          </el-link>
+          <div class="uid">{{ row.user_id }}</div>
+        </template>
+      </el-table-column>
+      <el-table-column width="64">
+        <template #header>
+          <el-tooltip content="该列不支持服务端排序" placement="top"><span>在职</span></el-tooltip>
+        </template>
+        <template #default="{ row }">
+          <el-tag v-if="row.is_on_job === true" size="small" type="success">在职</el-tag>
+          <el-tag v-else-if="row.is_on_job === false" size="small" type="info">离职</el-tag>
+          <span v-else class="dim">--</span>
+        </template>
+      </el-table-column>
+
+      <!-- ── 管理概览:评分/异常/规模/维度 ── -->
+      <template v-if="view === 'management'">
+        <el-table-column
+          prop="total_score"
+          width="120"
+          sortable="custom"
+          :sort-orders="['descending', 'ascending']"
+        >
+          <template #header>
+            <span>综合分
+              <el-tooltip content="查看指标口径" placement="top">
+                <el-icon class="hd-q" @click.stop="defsVisible = true"><QuestionFilled /></el-icon>
+              </el-tooltip>
+            </span>
+          </template>
+          <template #default="{ row }">
+            <el-tooltip
+              v-if="row.score.score_status === 'insufficient_sample'"
+              content="样本不足·不参与考核"
+              placement="top"
+            >
+              <span class="dim">--</span>
+            </el-tooltip>
+            <span v-else class="score-cell">
+              {{ Math.round(row.score.total_score ?? 0) }}
+              <el-tag
+                v-if="row.score.grade"
+                size="small"
+                :type="gradeType(row.score.grade)"
+                class="grade-tag"
+              >{{ row.score.grade }}</el-tag>
+              <span v-if="row.score.trial" class="trial-mark" title="试算期评分">试</span>
+            </span>
+          </template>
+        </el-table-column>
+        <el-table-column
+          prop="anomaly_severity"
+          label="异常"
+          width="90"
+          sortable="custom"
+          :sort-orders="['descending', 'ascending']"
+        >
+          <template #default="{ row }">
+            <span :class="row.anomaly_count > 0 ? 'anomaly-hot' : 'dim'">{{ row.anomaly_count }}</span>
+            <div v-if="row.anomaly_count > 0" class="cell-sub">权重 {{ row.anomaly_weight }}</div>
+          </template>
+        </el-table-column>
+        <el-table-column
+          prop="active_friends"
+          width="100"
+          sortable="custom"
+          :sort-orders="['descending', 'ascending']"
+        >
+          <template #header>
+            <span>活跃客户
+              <el-tooltip content="查看指标口径" placement="top">
+                <el-icon class="hd-q" @click.stop="defsVisible = true"><QuestionFilled /></el-icon>
+              </el-tooltip>
+            </span>
+          </template>
+          <template #default="{ row }">{{ fmtInt(num(row, 'active_friends')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="100">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>消息量</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ fmtInt(msgTotal(row)) }}</template>
+        </el-table-column>
+        <el-table-column min-width="110">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>串/被回</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            {{ fmtInt(num(row, 'cust_threads')) }} / {{ fmtInt(num(row, 'threads_answered')) }}
+          </template>
+        </el-table-column>
+        <el-table-column min-width="90">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>客户经营</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            <span :class="dimScore(row, 'customer') == null ? 'dim' : ''">{{ dimScoreText(row, 'customer') }}</span>
+          </template>
+        </el-table-column>
+        <el-table-column min-width="90">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>服务质量</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            <span :class="dimScore(row, 'service') == null ? 'dim' : ''">{{ dimScoreText(row, 'service') }}</span>
+          </template>
+        </el-table-column>
+        <el-table-column min-width="90">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>工作负载</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            <span :class="dimScore(row, 'workload') == null ? 'dim' : ''">{{ dimScoreText(row, 'workload') }}</span>
+          </template>
+        </el-table-column>
+      </template>
+
+      <!-- ── 工作负载:规模/消息/通话/串 ── -->
+      <template v-else-if="view === 'workload'">
+        <el-table-column
+          prop="active_friends"
+          width="100"
+          sortable="custom"
+          :sort-orders="['descending', 'ascending']"
+        >
+          <template #header>
+            <span>活跃客户
+              <el-tooltip content="查看指标口径" placement="top">
+                <el-icon class="hd-q" @click.stop="defsVisible = true"><QuestionFilled /></el-icon>
+              </el-tooltip>
+            </span>
+          </template>
+          <template #default="{ row }">{{ fmtInt(num(row, 'active_friends')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="100">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>活跃群(日均)</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ fmtAvg(num(row, 'active_rooms_avg')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="130">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>消息发/收</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            {{ fmtInt(num(row, 'msg_sent')) }} / {{ fmtInt(num(row, 'msg_recv')) }}
+          </template>
+        </el-table-column>
+        <el-table-column min-width="130">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>通话量/时长</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            {{ fmtInt(num(row, 'call_count')) }} / {{ fmtSec(num(row, 'call_seconds')) }}
+          </template>
+        </el-table-column>
+        <el-table-column
+          prop="cust_threads"
+          label="串"
+          width="80"
+          sortable="custom"
+          :sort-orders="['descending', 'ascending']"
+        >
+          <template #default="{ row }">{{ fmtInt(num(row, 'cust_threads')) }}</template>
+        </el-table-column>
+      </template>
+
+      <!-- ── 服务质量:首响分位/回复率/被回串 ── -->
+      <template v-else-if="view === 'service'">
+        <el-table-column min-width="110">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>首响P50</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ formatMsDuration(num(row, 'fr_p50_ms')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="110">
+          <template #header>
+            <span>
+              <el-tooltip content="该列不支持服务端排序" placement="top"><span>首响P90</span></el-tooltip>
+              <el-tooltip content="查看指标口径" placement="top">
+                <el-icon class="hd-q" @click.stop="defsVisible = true"><QuestionFilled /></el-icon>
+              </el-tooltip>
+            </span>
+          </template>
+          <template #default="{ row }">{{ formatMsDuration(num(row, 'fr_p90_ms')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="100">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>2h回复率</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ replyRate(row, 'reply_2h_count') }}</template>
+        </el-table-column>
+        <el-table-column min-width="110">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>24h回复率</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ replyRate(row, 'reply_24h_count') }}</template>
+        </el-table-column>
+        <el-table-column min-width="110">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>被回/串</span></el-tooltip>
+          </template>
+          <template #default="{ row }">
+            {{ fmtInt(num(row, 'threads_answered')) }} / {{ fmtInt(num(row, 'cust_threads')) }}
+          </template>
+        </el-table-column>
+      </template>
+
+      <!-- ── 客户经营:生命周期四态+活跃占比 ── -->
+      <template v-else>
+        <el-table-column min-width="80">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>新客</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ fmtInt(num(row, 'new_customer')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="80">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>降温</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ fmtInt(num(row, 'cooling_customer')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="100">
+          <template #header>
+            <span>
+              <el-tooltip content="该列不支持服务端排序" placement="top"><span>沉睡(期末)</span></el-tooltip>
+              <el-tooltip content="查看指标口径" placement="top">
+                <el-icon class="hd-q" @click.stop="defsVisible = true"><QuestionFilled /></el-icon>
+              </el-tooltip>
+            </span>
+          </template>
+          <template #default="{ row }">{{ fmtInt(num(row, 'dormant_customer')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="100">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>回流(期内)</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ fmtInt(num(row, 'reactivated_customer')) }}</template>
+        </el-table-column>
+        <el-table-column min-width="100">
+          <template #header>
+            <el-tooltip content="该列不支持服务端排序" placement="top"><span>活跃占比</span></el-tooltip>
+          </template>
+          <template #default="{ row }">{{ activeShare(row) }}</template>
+        </el-table-column>
+      </template>
+
+      <template #empty>
+        <el-empty :image-size="72" description="无匹配员工——调整关键词/状态" />
+      </template>
+    </el-table>
+
+    <el-pagination
+      :current-page="page"
+      :page-size="PAGE_SIZE"
+      :total="total"
+      layout="total, prev, pager, next"
+      class="pager"
+      @current-change="onPageChange"
+    />
+
+    <!-- 对比抽屉(2-5 行)与指标口径抽屉(自缓存) -->
+    <EmployeeCompareDrawer v-model="compareVisible" :rows="selectedRows" />
+    <MetricDefsDrawer v-model="defsVisible" />
+  </div>
+</template>
+
+<script setup lang="ts">
+// 员工总览(经营管理批次D):四视图列组共用 /management/employees 行集,
+// 服务端排序(仅 综合分/异常/活跃客户/串 四列)+ 服务端分页,query 全量
+// 真源(view/keyword/status/sort_by/sort_order/page),刷新/分享保持。
+// 多选 2-5 人开对比抽屉;CSV 导出当前视图列并带口径注释前置行。
+import { computed, ref, watch } from 'vue'
+import { useRoute, useRouter } from 'vue-router'
+import { ElMessage, type TableInstance } from 'element-plus'
+// QuestionFilled 全局已注册(main.ts 全量挂载),显式导入与项目其他页一致
+import { QuestionFilled, Search } from '@element-plus/icons-vue'
+import {
+  getEmployees,
+  type EmployeeRow,
+  type EmployeesResp,
+} from '@/api/management'
+import { useManagementFilters } from '@/composables/useManagementFilters'
+import { exportListToCsv, type CsvColumn } from '@/utils/csvExport'
+import { formatMsDuration, formatRatio } from '@/utils/format'
+import ManagementFilterBar from '@/components/management/ManagementFilterBar.vue'
+import DataAsOfBadge from '@/components/management/DataAsOfBadge.vue'
+import MetricDefsDrawer from '@/components/management/MetricDefsDrawer.vue'
+import EmployeeCompareDrawer from '@/components/management/EmployeeCompareDrawer.vue'
+
+const PAGE_SIZE = 20
+type EmpView = 'management' | 'workload' | 'service' | 'customer'
+type SortBy = 'anomaly_severity' | 'total_score' | 'active_friends' | 'cust_threads'
+const VIEW_VALUES: readonly EmpView[] = ['management', 'workload', 'service', 'customer']
+const SORT_BY_VALUES: readonly SortBy[] = ['anomaly_severity', 'total_score', 'active_friends', 'cust_threads']
+
+const route = useRoute()
+const router = useRouter()
+const { channel, start, end, compare, apply } = useManagementFilters()
+
+// ── 页面级 query 真源(白名单外回默认;与后端 Literal 校验同域) ──
+const view = computed<EmpView>(() =>
+  VIEW_VALUES.includes(route.query.view as EmpView) ? (route.query.view as EmpView) : 'management')
+const keyword = computed(() => (typeof route.query.keyword === 'string' ? route.query.keyword.trim() : ''))
+const status = computed<'all' | 'on_job' | 'offline'>(() =>
+  route.query.status === 'on_job' || route.query.status === 'offline' ? route.query.status : 'all')
+const sortBy = computed<SortBy>(() =>
+  SORT_BY_VALUES.includes(route.query.sort_by as SortBy) ? (route.query.sort_by as SortBy) : 'anomaly_severity')
+const sortOrder = computed<'asc' | 'desc'>(() => (route.query.sort_order === 'asc' ? 'asc' : 'desc'))
+const page = computed(() => {
+  const n = Number(route.query.page)
+  return Number.isInteger(n) && n >= 1 ? n : 1
+})
+
+// ── 加载(seq 守卫沿用驾驶舱/ChurnView 模式) ──
+const resp = ref<EmployeesResp | null>(null)
+const loading = ref(false)
+const loadError = ref<string | null>(null)
+let seq = 0
+
+function queryParams(over: Record<string, unknown> = {}): Record<string, unknown> {
+  return {
+    channel: channel.value,
+    start: start.value,
+    end: end.value,
+    view: view.value,
+    keyword: keyword.value || undefined,
+    status: status.value,
+    sort_by: sortBy.value,
+    sort_order: sortOrder.value,
+    page: page.value,
+    page_size: PAGE_SIZE,
+    ...over,
+  }
+}
+
+async function load(): Promise<void> {
+  const my = ++seq
+  loading.value = true
+  loadError.value = null
+  try {
+    const r = await getEmployees(queryParams())
+    if (my !== seq) return
+    resp.value = r
+  } catch (e) {
+    // 失败保留上次成功数据,仅标记 error 供 alert+重试
+    if (my === seq) loadError.value = e instanceof Error ? e.message : String(e)
+  } finally {
+    if (my === seq) loading.value = false
+  }
+}
+
+watch([channel, start, end, view, keyword, status, sortBy, sortOrder, page], load, { immediate: true })
+
+const rows = computed<EmployeeRow[]>(() => resp.value?.rows ?? [])
+const total = computed(() => resp.value?.total ?? 0)
+
+// ── 工具行交互(全部写回 URL;筛选变化重置分页) ──
+const keywordInput = ref(keyword.value)
+let kwTimer: ReturnType<typeof setTimeout> | undefined
+watch(keywordInput, (v) => {
+  if (kwTimer) clearTimeout(kwTimer)
+  kwTimer = setTimeout(() => {
+    if ((v.trim() || '') !== keyword.value) apply({ keyword: v.trim() || undefined, page: undefined })
+  }, 300)
+})
+// 外部导航(回退/直链)同步输入框显示
+watch(keyword, (v) => {
+  if (v !== keywordInput.value.trim()) keywordInput.value = v
+})
+
+function onStatusChange(v: string | number | boolean): void {
+  apply({ status: v === 'all' ? undefined : String(v), page: undefined })
+}
+
+// 切视图:列组变化,排序回默认(异常降序)、回第一页
+function onViewChange(v: string | number | boolean): void {
+  apply({ view: String(v), sort_by: undefined, sort_order: undefined, page: undefined })
+}
+
+function onCompareChange(v: string | number | boolean): void {
+  apply({ compare: v === 'previous' ? undefined : String(v) })
+}
+
+function onPageChange(p: number): void {
+  apply({ page: p === 1 ? undefined : p })
+}
+
+// ── 服务端排序:el-table custom 模式(全仓首个),prop 即后端 sort_by 值 ──
+const tableRef = ref<TableInstance>()
+const defaultSort = computed(() => ({
+  prop: sortBy.value,
+  order: sortOrder.value === 'asc' ? ('ascending' as const) : ('descending' as const),
+}))
+
+function onSortChange({ prop, order }: { prop: string; order: 'ascending' | 'descending' | null }): void {
+  const by = SORT_BY_VALUES.find((v) => v === prop)
+  if (!by || !order) return // :sort-orders 两态,order 不会 null,防御
+  apply({ sort_by: by, sort_order: order === 'ascending' ? 'asc' : 'desc', page: undefined })
+}
+
+// URL 驱动的排序/视图变化(回退/切视图重置/直链)同步表头指示:sort() 对
+// custom 列只设指示不本地排序(EP watcher sortData 对字符串 sortable 直接
+// 返回原数据);prop 在当前视图无该列时为无害 no-op
+watch([view, sortBy, sortOrder], ([, by, order]) => {
+  tableRef.value?.sort(by, order === 'asc' ? 'ascending' : 'descending')
+}, { flush: 'post' })
+
+// ── 取数/格式化(metrics 数值键;user_id 透传键是字符串,typeof 守卫) ──
+function num(r: EmployeeRow, key: string): number | null {
+  const v = r.metrics[key]
+  return typeof v === 'number' ? v : null
+}
+function fmtInt(v: number | null | undefined): string {
+  return v == null ? '--' : v.toLocaleString()
+}
+function fmtAvg(v: number | null | undefined): string {
+  return v == null ? '--' : v.toLocaleString('zh-CN', { maximumFractionDigits: 1 })
+}
+function fmtSec(s: number | null): string {
+  return s && s > 0 ? formatMsDuration(s * 1000) : '-'
+}
+function msgTotal(r: EmployeeRow): number {
+  return (num(r, 'msg_sent') ?? 0) + (num(r, 'msg_recv') ?? 0)
+}
+function replyRate(r: EmployeeRow, countKey: 'reply_2h_count' | 'reply_24h_count'): string {
+  const den = num(r, 'cust_threads')
+  if (!den) return '--' // 分母 0/null → 无率(严格区分 0%)
+  return formatRatio((num(r, countKey) ?? 0) / den)
+}
+function activeShare(r: EmployeeRow): string {
+  const ea = num(r, 'end_active_friends') ?? 0
+  const den = ea + (num(r, 'cooling_customer') ?? 0) + (num(r, 'dormant_customer') ?? 0)
+  return den > 0 ? formatRatio(ea / den) : '--'
+}
+function dimScore(r: EmployeeRow, key: string): number | null {
+  return r.score.dimensions[key]?.score ?? null
+}
+function dimScoreText(r: EmployeeRow, key: string): string {
+  const s = dimScore(r, key)
+  return s == null ? '--' : String(Math.round(s))
+}
+const GRADE_TYPES: Record<string, 'success' | 'primary' | 'warning' | 'danger' | 'info'> = {
+  A: 'success', B: 'primary', C: 'warning', D: 'danger', E: 'info',
+}
+function gradeType(g: string | null): 'success' | 'primary' | 'warning' | 'danger' | 'info' {
+  return (g && GRADE_TYPES[g]) || 'info'
+}
+
+// 带窗进详情(D3):channel/start/end/compare 随行——列表口径延续到详情页;
+// view/keyword/status/sort_by/sort_order/page 是列表态,不带(详情页只认
+// channel/start/end/compare/section,其余键即使带上也被白名单忽略)
+function goDetail(row: EmployeeRow): void {
+  const query: Record<string, string> = {}
+  for (const key of ['channel', 'start', 'end', 'compare'] as const) {
+    const v = route.query[key]
+    if (typeof v === 'string' && v !== '') query[key] = v
+  }
+  router.push({ name: 'management-employees-detail', params: { userId: row.user_id }, query })
+}
+
+// ── 多选 → 对比抽屉(reserve-selection 跨页/重查保留;行是勾选时快照) ──
+const selectedRows = ref<EmployeeRow[]>([])
+const compareVisible = ref(false)
+// 指标口径抽屉(列头「?」与筛选栏「指标口径」共用)
+const defsVisible = ref(false)
+
+function onSelectionChange(sel: EmployeeRow[]): void {
+  selectedRows.value = sel
+}
+
+// ── CSV:当前视图列全量翻页导出,preamble 写口径/窗口注释(Excel 首列) ──
+const exporting = ref(false)
+
+const csvColumns = computed<CsvColumn<EmployeeRow>[]>(() => {
+  const base: CsvColumn<EmployeeRow>[] = [
+    { key: 'name', label: '姓名', format: (r) => r.name ?? r.user_id },
+    { key: 'user_id', label: 'ID' },
+    {
+      key: 'is_on_job',
+      label: '在职',
+      format: (r) => (r.is_on_job === true ? '在职' : r.is_on_job === false ? '离职' : '--'),
+    },
+  ]
+  const dimCol = (key: string, label: string): CsvColumn<EmployeeRow> => ({
+    key: `dim_${key}`, label, format: (r) => dimScoreText(r, key),
+  })
+  if (view.value === 'management') {
+    return base.concat([
+      {
+        key: 'total_score',
+        label: '综合分',
+        format: (r) =>
+          r.score.score_status === 'insufficient_sample' || r.score.total_score == null
+            ? '--(样本不足)'
+            : String(Math.round(r.score.total_score)),
+      },
+      { key: 'grade', label: '等级', format: (r) => r.score.grade ?? '--' },
+      { key: 'anomaly_count', label: '异常数', format: (r) => String(r.anomaly_count) },
+      { key: 'anomaly_weight', label: '异常权重', format: (r) => String(r.anomaly_weight) },
+      { key: 'active_friends', label: '活跃客户', format: (r) => fmtInt(num(r, 'active_friends')) },
+      { key: 'msg_total', label: '消息量', format: (r) => fmtInt(msgTotal(r)) },
+      { key: 'cust_threads', label: '串', format: (r) => fmtInt(num(r, 'cust_threads')) },
+      { key: 'threads_answered', label: '被回', format: (r) => fmtInt(num(r, 'threads_answered')) },
+      dimCol('customer', '客户经营分'),
+      dimCol('service', '服务质量分'),
+      dimCol('workload', '工作负载分'),
+    ])
+  }
+  if (view.value === 'workload') {
+    return base.concat([
+      { key: 'active_friends', label: '活跃客户', format: (r) => fmtInt(num(r, 'active_friends')) },
+      { key: 'active_rooms_avg', label: '活跃群(日均)', format: (r) => fmtAvg(num(r, 'active_rooms_avg')) },
+      { key: 'msg_sent', label: '消息发', format: (r) => fmtInt(num(r, 'msg_sent')) },
+      { key: 'msg_recv', label: '消息收', format: (r) => fmtInt(num(r, 'msg_recv')) },
+      { key: 'call_count', label: '通话量', format: (r) => fmtInt(num(r, 'call_count')) },
+      { key: 'call_seconds', label: '通话秒', format: (r) => String(num(r, 'call_seconds') ?? 0) },
+      { key: 'cust_threads', label: '串', format: (r) => fmtInt(num(r, 'cust_threads')) },
+    ])
+  }
+  if (view.value === 'service') {
+    return base.concat([
+      { key: 'fr_p50_ms', label: '首响P50', format: (r) => formatMsDuration(num(r, 'fr_p50_ms')) },
+      { key: 'fr_p90_ms', label: '首响P90', format: (r) => formatMsDuration(num(r, 'fr_p90_ms')) },
+      { key: 'reply_2h_rate', label: '2h回复率', format: (r) => replyRate(r, 'reply_2h_count') },
+      { key: 'reply_24h_rate', label: '24h回复率', format: (r) => replyRate(r, 'reply_24h_count') },
+      { key: 'threads_answered', label: '被回', format: (r) => fmtInt(num(r, 'threads_answered')) },
+      { key: 'cust_threads', label: '串', format: (r) => fmtInt(num(r, 'cust_threads')) },
+    ])
+  }
+  return base.concat([
+    { key: 'new_customer', label: '新客', format: (r) => fmtInt(num(r, 'new_customer')) },
+    { key: 'cooling_customer', label: '降温', format: (r) => fmtInt(num(r, 'cooling_customer')) },
+    { key: 'dormant_customer', label: '沉睡(期末)', format: (r) => fmtInt(num(r, 'dormant_customer')) },
+    { key: 'reactivated_customer', label: '回流(期内)', format: (r) => fmtInt(num(r, 'reactivated_customer')) },
+    { key: 'active_share', label: '活跃占比', format: (r) => activeShare(r) },
+  ])
+})
+
+async function exportCsv(): Promise<void> {
+  if (!total.value) {
+    ElMessage.warning('当前列表为空，无数据可导出')
+    return
+  }
+  exporting.value = true
+  try {
+    const result = await exportListToCsv<EmployeeRow>({
+      // 适配器:getEmployees 返回 {rows,total} → csvExport 期望 {items,total}
+      fetchPage: (p, size) =>
+        getEmployees(queryParams({ page: p, page_size: size })).then((r) => ({ items: r.rows, total: r.total })),
+      columns: csvColumns.value,
+      filename: `员工分析_${view.value}_${channel.value}`,
+      preamble: [
+        '口径:1:1私聊·跨日精确串(与数据看板混合口径不同)',
+        `窗口:${start.value}-${end.value} 渠道:${channel.value}`,
+        `评分为试算(${resp.value?.metric_version ?? 'v1.0'})·样本不足员工不计分`,
+      ],
+    })
+    ElMessage.success(`已导出 ${result.rows} 条`)
+  } catch (e) {
+    ElMessage.error(`导出失败：${e instanceof Error ? e.message : String(e)}`)
+  } finally {
+    exporting.value = false
+  }
+}
+</script>
+
+<style scoped>
+.toolbar {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  flex-wrap: wrap;
+  margin-top: 12px;
+}
+.kw-input {
+  width: 200px;
+}
+.compare-select {
+  width: 150px;
+}
+.status-select {
+  width: 90px;
+}
+.spacer {
+  flex: 1;
+}
+.top-alert {
+  margin-top: 12px;
+}
+.retry-btn {
+  margin-left: 12px;
+}
+.uid {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+.dim {
+  color: var(--el-text-color-placeholder);
+}
+.score-cell {
+  white-space: nowrap;
+}
+.grade-tag {
+  margin-left: 4px;
+}
+.trial-mark {
+  margin-left: 2px;
+  font-size: 10px;
+  color: var(--el-color-warning);
+  vertical-align: super;
+}
+.anomaly-hot {
+  color: var(--el-color-danger);
+  font-weight: 600;
+}
+.cell-sub {
+  font-size: 12px;
+  color: var(--el-text-color-secondary);
+}
+.hd-q {
+  margin-left: 2px;
+  color: var(--el-text-color-secondary);
+  cursor: pointer;
+  vertical-align: -2px;
+}
+.hd-q:hover {
+  color: var(--el-color-primary);
+}
+.pager {
+  margin-top: 12px;
+  display: flex;
+  justify-content: flex-end;
+}
+</style>

yunkes/src/views/management/ManagementDashboardView.vue

@@ -0,0 +1,537 @@
+<template>
+  <div class="mgmt-dash">
+    <!-- 筛选栏:渠道/时间(URL query 真源)+口径入口;aside=数据截至角标 -->
+    <ManagementFilterBar
+      :channel="channel"
+      :start="start"
+      :end="end"
+      :compare="compare"
+      @apply="apply"
+      @open-defs="defsVisible = true"
+    >
+      <template #aside>
+        <!-- trial 常显:dashboard 载荷无 trial 键(评分配置层字段),批次C/D
+             评分处于试算期(v2 §0 全默认+试算),批次E 转正时随配置联动 -->
+        <DataAsOfBadge
+          :data-as-of="resp?.data_as_of ?? null"
+          :metric-version="resp?.metric_version"
+          :trial="true"
+          :config-source="resp?.config_source"
+        />
+      </template>
+    </ManagementFilterBar>
+
+    <!-- 错误态:alert+重试;resp 不清空,保留上次成功数据 -->
+    <el-alert v-if="loadError" type="error" :closable="false" class="dash-alert">
+      <template #title>
+        <span>{{ loadError }}</span>
+        <el-button size="small" type="primary" class="retry-btn" @click="load">重试</el-button>
+      </template>
+    </el-alert>
+
+    <!-- 空态:窗口内无任何业务数据(数据截至角标同步显「无数据」) -->
+    <el-alert
+      v-if="noData"
+      type="info"
+      title="该窗口无数据——试试调整时间范围"
+      :closable="false"
+      class="dash-alert"
+    />
+
+    <!-- 六 KPI 卡:两行三卡(≥768px 三列/窄屏两列);后三卡行动入口直达处置页 -->
+    <el-row :gutter="12" class="block-row kpi-row" v-loading="loading">
+      <el-col :xs="12" :sm="8">
+        <ManagementKpiCard
+          label="活跃客户"
+          :value="kpis?.active_customers ?? null"
+          :delta="deltaOf('active_customers')"
+          unit="人"
+          :hint="threadsHint"
+        />
+      </el-col>
+      <el-col :xs="12" :sm="8">
+        <ManagementKpiCard
+          label="活跃员工"
+          :value="kpis?.active_employees ?? null"
+          :delta="deltaOf('active_employees')"
+          unit="人"
+          hint="期内有数据天数>0 口径"
+        />
+      </el-col>
+      <el-col :xs="12" :sm="8">
+        <!-- tooltip 说明混合 vs 1:1 口径差异,hover 才展开,卡面 hint 保持一行 -->
+        <el-tooltip
+          placement="top"
+          content="管理域消息量仅统计 1:1 私聊消息;「数据分析·数据看板」为私聊+群聊混合口径,两者数值不可直接对比"
+        >
+          <ManagementKpiCard
+            label="消息量"
+            :value="kpis?.msg_total ?? null"
+            :delta="deltaOf('msg_total')"
+            unit="条"
+            hint="1:1口径·与数据看板口径不同"
+          />
+        </el-tooltip>
+      </el-col>
+      <el-col :xs="12" :sm="8">
+        <ManagementKpiCard
+          label="待回复"
+          :value="actions?.unreplied_2h ?? null"
+          unit="人"
+          hint="当前时点指标·不随所选窗口"
+          :danger="(actions?.unreplied_2h ?? 0) > 0"
+          to="/analytics/unreplied"
+        />
+      </el-col>
+      <el-col :xs="12" :sm="8">
+        <ManagementKpiCard
+          label="即将流失"
+          :value="actions?.churn_real_30d ?? null"
+          unit="人"
+          to="/analytics/churn"
+        />
+      </el-col>
+      <el-col :xs="12" :sm="8">
+        <ManagementKpiCard
+          label="风险待处理"
+          :value="actions?.sensitive_pending ?? null"
+          unit="条"
+          hint="当前时点指标·不随所选窗口"
+          to="/analytics/sensitive"
+        />
+      </el-col>
+    </el-row>
+
+    <!-- 双趋势图:左沟通量(消息线+通话柱双 y 轴),右服务质量(首响分位线+回复率右轴) -->
+    <el-row :gutter="12" class="block-row">
+      <el-col :xs="24" :md="12">
+        <el-card shadow="never" class="chart-card" v-loading="loading">
+          <template #header>客户沟通趋势</template>
+          <div ref="commEl" class="chart"></div>
+        </el-card>
+      </el-col>
+      <el-col :xs="24" :md="12">
+        <el-card shadow="never" class="chart-card" v-loading="loading">
+          <template #header>服务质量趋势</template>
+          <div ref="svcEl" class="chart"></div>
+        </el-card>
+      </el-col>
+    </el-row>
+
+    <!-- 双条形图:左生命周期四态(横向),右员工维度均分(0-100,无样本灰) -->
+    <el-row :gutter="12" class="block-row">
+      <el-col :xs="24" :md="12">
+        <el-card shadow="never" class="chart-card" v-loading="loading">
+          <template #header>生命周期分布</template>
+          <div ref="lifeEl" class="chart"></div>
+        </el-card>
+      </el-col>
+      <el-col :xs="24" :md="12">
+        <el-card shadow="never" class="chart-card" v-loading="loading">
+          <template #header>员工维度分布</template>
+          <div ref="dimsEl" class="chart"></div>
+        </el-card>
+      </el-col>
+    </el-row>
+
+    <!-- 异常榜:critical 在前(后端已排);点行开下钻抽屉,两次点击到事实 -->
+    <el-card shadow="never" class="block-row anomaly-card" v-loading="loading">
+      <template #header>
+        异常榜
+        <span class="anomaly-sub">按严重度排序 · 点行查看明细</span>
+      </template>
+      <AnomalyList :anomalies="resp?.anomalies ?? []" :loading="loading" @drill="onDrill" />
+    </el-card>
+
+    <!-- 下钻抽屉:metric 类异常逐串/逐行明细,行点击跳聊天;employee 类批次D 占位 -->
+    <MetricDrilldownDrawer
+      v-model="drillVisible"
+      :card="drillCard"
+      :user-id="drillCard?.employee_user_id ?? ''"
+      :start="start"
+      :end="end"
+      :channel="channel"
+    />
+
+    <!-- 指标口径抽屉:19 项定义+评分配置,自缓存 -->
+    <MetricDefsDrawer v-model="defsVisible" />
+  </div>
+</template>
+
+<script setup lang="ts">
+// 管理驾驶舱(经营管理板块批次C首页):筛选(URL query 真源)→ 六 KPI →
+// 双趋势(沟通量/服务质量)→ 生命周期四态 + 员工维度均分 → 异常榜(下钻
+// 抽屉两次点击到事实)。管理者 5 分钟看整体:先 KPI 判断总体,异常卡
+// 直达事实。载荷 /management/dashboard 单往返;compare 仅回显(对比值
+// 批次D 员工表格呈现)。seq 守卫/双图 useChart/格式化均沿用项目惯例。
+import { computed, ref, watch } from 'vue'
+import {
+  getDashboard,
+  type AnomalyCard,
+  type DashboardResp,
+} from '@/api/management'
+import { useManagementFilters } from '@/composables/useManagementFilters'
+import { useChart } from '@/composables/useChart'
+import { formatMsDuration, formatRatio } from '@/utils/format'
+import ManagementFilterBar from '@/components/management/ManagementFilterBar.vue'
+import ManagementKpiCard from '@/components/management/ManagementKpiCard.vue'
+import DataAsOfBadge from '@/components/management/DataAsOfBadge.vue'
+import AnomalyList from '@/components/management/AnomalyList.vue'
+import MetricDrilldownDrawer from '@/components/management/MetricDrilldownDrawer.vue'
+import MetricDefsDrawer from '@/components/management/MetricDefsDrawer.vue'
+
+// ── 筛选(URL query 为真源,刷新/分享保持)与加载 ──
+const { channel, start, end, compare, apply } = useManagementFilters()
+
+const resp = ref<DashboardResp | null>(null)
+const loading = ref(false)
+const loadError = ref<string | null>(null)
+
+let seq = 0 // 竞态守卫:筛选快速切换时旧响应作废(项目惯例)
+
+async function load(): Promise<void> {
+  const my = ++seq
+  loading.value = true
+  loadError.value = null
+  try {
+    const r = await getDashboard(channel.value, start.value, end.value, compare.value)
+    if (my !== seq) return
+    resp.value = r
+  } catch (e) {
+    // 失败保留上次成功数据(resp 不清空),仅标记 error 供 alert+重试
+    if (my === seq) loadError.value = e instanceof Error ? e.message : String(e)
+  } finally {
+    // 过期请求不清 loading(新一轮还在飞)也不覆盖 error
+    if (my === seq) loading.value = false
+  }
+}
+
+// immediate 首帧即取数,替代 onMounted;筛选任一变化重查
+watch([channel, start, end, compare], load, { immediate: true })
+
+const kpis = computed(() => resp.value?.kpis ?? null)
+const actions = computed(() => resp.value?.action_summary ?? null)
+
+// 三 KPI 卡环比(批次D):客户端统一按 (cur-prev)/prev 自 prev_kpis 计算
+// (数据同载荷都在;后端 msg_delta 备用未用)。prev_kpis 缺失(旧缓存
+// 响应)或 prev=0(前窗无数据)→ null 不显示
+function deltaOf(key: 'active_customers' | 'active_employees' | 'msg_total'): number | null {
+  const k = resp.value?.kpis
+  const p = resp.value?.prev_kpis
+  if (!k || !p || !p[key]) return null
+  return (k[key] - p[key]) / p[key]
+}
+
+// 活跃客户辅助行:串/被回(口径与 KPI 同载荷,管理域跨日精确串)
+const threadsHint = computed(() => {
+  const k = kpis.value
+  if (!k) return undefined
+  return `串 ${k.cust_threads.toLocaleString()} · 被回 ${k.threads_answered.toLocaleString()}`
+})
+
+// 空态:核心 KPI 全 0(趋势按日脚手架恒非空,以 KPI 判空才可靠)
+const noData = computed(() => {
+  const k = kpis.value
+  if (!k || loadError.value) return false
+  return !k.active_customers && !k.active_employees && !k.msg_total && !k.call_count
+})
+
+// ── 异常下钻 ──
+const drillVisible = ref(false)
+const drillCard = ref<AnomalyCard | null>(null)
+const defsVisible = ref(false)
+
+function onDrill(card: AnomalyCard): void {
+  drillCard.value = card
+  drillVisible.value = true
+}
+
+// ── 图表(四张,容器恒在 DOM——useChart 只 init 一次,不 v-if) ──
+const commEl = ref<HTMLElement | null>(null)
+const svcEl = ref<HTMLElement | null>(null)
+const lifeEl = ref<HTMLElement | null>(null)
+const dimsEl = ref<HTMLElement | null>(null)
+const { render: renderComm } = useChart(commEl)
+const { render: renderSvc } = useChart(svcEl)
+const { render: renderLife } = useChart(lifeEl)
+const { render: renderDims } = useChart(dimsEl)
+
+// yyyymmdd(20260810)→ 08-10 短格式(轴/tooltip 共用)
+const shortDay = (d: number): string => `${String(d).slice(4, 6)}-${String(d).slice(6)}`
+// 大数压缩:轴刻度统一 1.1万 口径(与 DashboardView 一致)
+const compact = (n: number): string =>
+  n >= 10000 ? `${(n / 10000).toFixed(1)}万` : n.toLocaleString()
+// 服务质量左轴刻度:ms → 紧凑时长(轴上省秒,tooltip 仍用 formatMsDuration)
+const fmtMsAxis = (v: number): string =>
+  v >= 3_600_000 ? `${(v / 3_600_000).toFixed(1)}时` : `${Math.round(v / 60_000)}分`
+// X 轴 ~6 个刻度(30 个日期全排会挤成一串不可读)
+const axisInterval = (n: number): number => Math.max(0, Math.ceil(n / 6) - 1)
+
+const AXIS_LABEL = { color: '#909399' }
+const SPLIT_LINE = { lineStyle: { type: 'solid' as const, color: '#f0f1f3' } }
+
+function drawComm(): void {
+  const t = resp.value?.communication_trend
+  if (!t || !t.length) return
+  const labels = t.map((p) => shortDay(p.day))
+  renderComm({
+    grid: { left: 56, right: 56, top: 40, bottom: 28 },
+    tooltip: { trigger: 'axis', valueFormatter: (v: unknown) => compact(Number(v)) },
+    legend: { data: ['消息量', '通话量'], top: 4, itemWidth: 14, textStyle: { color: '#606266' } },
+    xAxis: {
+      type: 'category',
+      data: labels,
+      axisLabel: { interval: axisInterval(labels.length), hideOverlap: true, ...AXIS_LABEL },
+      axisLine: { lineStyle: { color: '#dcdfe6' } },
+      axisTick: { show: false },
+    },
+    yAxis: [
+      {
+        type: 'value',
+        name: '消息量',
+        axisLabel: { formatter: (v: number) => compact(v), ...AXIS_LABEL },
+        splitLine: SPLIT_LINE,
+      },
+      {
+        type: 'value',
+        name: '通话量',
+        axisLabel: { formatter: (v: number) => compact(v), ...AXIS_LABEL },
+        splitLine: { show: false },
+      },
+    ],
+    series: [
+      {
+        name: '消息量',
+        type: 'line',
+        smooth: true,
+        yAxisIndex: 0,
+        lineStyle: { width: 2, color: '#409EFF' },
+        itemStyle: { color: '#409EFF' },
+        areaStyle: { opacity: 0.1, color: '#409EFF' },
+        showSymbol: false,
+        data: t.map((p) => p.msg_total),
+      },
+      {
+        name: '通话量',
+        type: 'bar',
+        yAxisIndex: 1,
+        barMaxWidth: 12,
+        itemStyle: { color: '#67C23A', borderRadius: [3, 3, 0, 0] },
+        data: t.map((p) => p.call_cnt),
+      },
+    ],
+  })
+}
+
+// 服务质量 tooltip:ms→时长/率→百分比(null 显 '-',与断点语义一致)
+interface TipParam { marker?: string; seriesName?: string; value?: number | null; axisValueLabel?: string }
+function svcTooltip(ps: unknown): string {
+  const arr = (Array.isArray(ps) ? ps : [ps]) as TipParam[]
+  if (!arr.length) return ''
+  const rows = arr.map((p) => {
+    const v = typeof p.value === 'number' ? p.value : null
+    const text = v === null ? '-' : p.seriesName === '2h回复率' ? formatRatio(v) : formatMsDuration(v)
+    return `<div>${p.marker ?? ''}${p.seriesName}: ${text}</div>`
+  })
+  return `<div>${arr[0].axisValueLabel ?? ''}</div>${rows.join('')}`
+}
+
+function drawSvc(): void {
+  const t = resp.value?.service_trend
+  if (!t || !t.length) return
+  const labels = t.map((p) => shortDay(p.day))
+  renderSvc({
+    grid: { left: 56, right: 56, top: 40, bottom: 28 },
+    tooltip: { trigger: 'axis', formatter: svcTooltip },
+    legend: {
+      data: ['首响中位', '首响九分位', '2h回复率'],
+      top: 4, itemWidth: 14, textStyle: { color: '#606266' },
+    },
+    xAxis: {
+      type: 'category',
+      data: labels,
+      axisLabel: { interval: axisInterval(labels.length), hideOverlap: true, ...AXIS_LABEL },
+      axisLine: { lineStyle: { color: '#dcdfe6' } },
+      axisTick: { show: false },
+    },
+    yAxis: [
+      {
+        type: 'value',
+        name: '首响',
+        axisLabel: { formatter: fmtMsAxis, ...AXIS_LABEL },
+        splitLine: SPLIT_LINE,
+      },
+      {
+        // 右轴 0-1 率:不单列双轴则率线贴底不可读
+        type: 'value',
+        name: '2h回复率',
+        min: 0,
+        max: 1,
+        axisLabel: { formatter: (v: number) => formatRatio(v), ...AXIS_LABEL },
+        splitLine: { show: false },
+      },
+    ],
+    series: [
+      // null(无样本日)=断点:connectNulls:false 显式钉死,不跨缺口连线
+      {
+        name: '首响中位',
+        type: 'line', smooth: true, showSymbol: false, connectNulls: false,
+        lineStyle: { width: 2 },
+        data: t.map((p) => p.fr_p50_ms),
+      },
+      {
+        name: '首响九分位',
+        type: 'line', smooth: true, showSymbol: false, connectNulls: false,
+        lineStyle: { width: 2 },
+        data: t.map((p) => p.fr_p90_ms),
+      },
+      {
+        name: '2h回复率',
+        type: 'line', smooth: true, showSymbol: false, connectNulls: false,
+        yAxisIndex: 1,
+        lineStyle: { width: 2, color: '#67C23A' },
+        itemStyle: { color: '#67C23A' },
+        data: t.map((p) => p.reply_2h_rate),
+      },
+    ],
+  })
+}
+
+// 生命周期四态:横向条形(名义类别,状态色——新客蓝/降温橙/沉睡红/回流绿)
+const LIFE_META = [
+  { key: 'new', label: '新客', color: '#409EFF' },
+  { key: 'cooling', label: '降温', color: '#E6A23C' },
+  { key: 'dormant', label: '沉睡', color: '#F56C6C' },
+  { key: 'reactivated', label: '回流', color: '#67C23A' },
+] as const
+
+function drawLife(): void {
+  const lc = resp.value?.lifecycle
+  if (!lc) return
+  renderLife({
+    grid: { left: 8, right: 48, top: 8, bottom: 8, containLabel: true },
+    tooltip: { trigger: 'item', valueFormatter: (v: unknown) => compact(Number(v)) },
+    xAxis: {
+      type: 'value',
+      axisLabel: { formatter: (v: number) => compact(v), ...AXIS_LABEL },
+      splitLine: SPLIT_LINE,
+    },
+    yAxis: {
+      type: 'category',
+      inverse: true, // 新客在顶部(生命周期顺序)
+      data: LIFE_META.map((m) => m.label),
+      axisTick: { show: false },
+      axisLine: { show: false },
+      axisLabel: { color: '#606266' },
+    },
+    series: [
+      {
+        type: 'bar',
+        barWidth: 14,
+        itemStyle: { borderRadius: [0, 4, 4, 0] },
+        label: {
+          show: true,
+          position: 'right',
+          formatter: (p: { value: unknown }) => compact(Number(p.value)),
+          color: '#606266',
+          fontSize: 11,
+        },
+        data: LIFE_META.map((m) => ({ value: lc[m.key], itemStyle: { color: m.color } })),
+      },
+    ],
+  })
+}
+
+// 员工维度分布:pending_data 维(action/risk)恒无 scored/insufficient 计数,
+// 以计数>0 过滤,只留真实参与评分的维度(customer/service/workload)
+const dimRows = computed(() =>
+  Object.entries(resp.value?.dimension_summary ?? {})
+    .filter(([, d]) => d.scored_count > 0 || d.insufficient_count > 0)
+    .map(([key, d]) => ({ key, ...d })),
+)
+
+function dimsTooltip(p: { dataIndex?: number }): string {
+  const r = p.dataIndex != null ? dimRows.value[p.dataIndex] : undefined
+  if (!r) return ''
+  const avg = r.avg_score === null ? '-' : Math.round(r.avg_score)
+  return (
+    `<div>${r.name}</div>` +
+    `<div>均分 ${avg}(权重 ${r.weight}%)</div>` +
+    `<div>已评分 ${r.scored_count} · 样本不足 ${r.insufficient_count} · 待数据 ${r.pending_count}</div>`
+  )
+}
+
+function drawDims(): void {
+  const rows = dimRows.value
+  if (!rows.length) return
+  renderDims({
+    grid: { left: 40, right: 16, top: 24, bottom: 28, containLabel: true },
+    tooltip: { trigger: 'item', formatter: dimsTooltip },
+    xAxis: {
+      type: 'category',
+      data: rows.map((r) => r.name),
+      axisTick: { show: false },
+      axisLine: { lineStyle: { color: '#dcdfe6' } },
+      axisLabel: { color: '#606266' },
+    },
+    yAxis: {
+      type: 'value',
+      min: 0,
+      max: 100, // 维度分定义域 0-100
+      axisLabel: AXIS_LABEL,
+      splitLine: SPLIT_LINE,
+    },
+    series: [
+      {
+        type: 'bar',
+        barWidth: 28,
+        itemStyle: { borderRadius: [3, 3, 0, 0] },
+        label: {
+          show: true,
+          position: 'top',
+          formatter: (p: { dataIndex: number; value: unknown }) =>
+            (rows[p.dataIndex]?.avg_score ?? null) === null ? '-' : compact(Number(p.value)),
+          color: '#606266',
+          fontSize: 11,
+        },
+        data: rows.map((r) =>
+          r.avg_score === null
+            // 无样本维度(全员未评):0 值灰条——有位置但不冒充分数
+            ? { value: 0, itemStyle: { color: '#c0c4cc' } }
+            : { value: Math.round(r.avg_score), itemStyle: { color: '#409EFF' } },
+        ),
+      },
+    ],
+  })
+}
+
+// post:等 DOM 更新后再画,保证首帧容器已挂载;resp 单源,四图同刷
+watch(resp, () => { drawComm(); drawSvc(); drawLife(); drawDims() }, { flush: 'post' })
+</script>
+
+<style scoped>
+.dash-alert {
+  margin-top: 12px;
+}
+.retry-btn {
+  margin-left: 12px;
+}
+.block-row {
+  margin-top: 16px;
+}
+.kpi-row {
+  min-height: 100px;
+}
+.chart-card :deep(.el-card__body) {
+  padding: 12px 16px 8px;
+}
+.chart {
+  height: 300px;
+}
+.anomaly-sub {
+  margin-left: 8px;
+  font-size: 12px;
+  font-weight: 400;
+  color: var(--el-text-color-secondary);
+}
+</style>