fix(HEL-494): keep filtered reference lookups inside datahub

Co-authored-by: multica-agent <github@multica.ai>

.dockerignore

@@ -9,6 +9,7 @@ __pycache__/
 *.log
 runtime/
 data/cache/
+data/backups/
 data/private-mentor-skills/
 data/*.db
 data/*.db-shm

.env.example

@@ -1,13 +1,20 @@
 # Generated automatically when omitted. Back it up together with the database.
 APP_ENCRYPTION_KEY=
 
-# Initial shared market-data credential. After first launch it is encrypted into
-# the system settings; all accounts use the same backend market snapshot.
+# Market-source credentials are consumed and encrypted only by xiaobai-datahub.
+# compose.yaml masks them from the xiaobai-review website process.
 TUSHARE_TOKEN=your_tushare_token_here
 
-# Optional iFinD HTTP credential. The backend exchanges it for a short-lived
-# access token and never exposes either token to browsers.
-IFIND_REFRESH_TOKEN=your_ifind_refresh_token_here
+# Official xiaobai-datahub client. Read flags default on in config/datahub.config.json.
+# compose.yaml pins every DATAHUB_READ_* to 1. The website has no provider
+# fallback; source selection and failover happen inside xiaobai-datahub.
+# DATAHUB_SHADOW_* can still override a single dataset.
+DATAHUB_BASE_URL=http://127.0.0.1:8766
+DATAHUB_TOKEN=
+
+# iFinD credentials live on xiaobai-datahub, not the website process.
+# IFIND_REFRESH_TOKEN=your_ifind_refresh_token_here
+# IFIND_ACCESS_TOKEN=
 
 # Initial platform member models (OpenAI-compatible). After first launch these
 # are encrypted into system settings and used only by admins and active members.

.gitignore

@@ -8,6 +8,9 @@ data/*.db
 data/*.db-shm
 data/*.db-wal
 data/backups/
+datahub-data/
+xiaobai-datahub/data/
+xiaobai-datahub/.venv/
 data/*.bak
 data/*.backup
 *.log

ARCHITECTURE.md

@@ -38,10 +38,15 @@ background scheduler
   fields, and feature-specific exceptions belong to `backend/features/<feature>/routes.py`.
 - `backend/features/<feature>/` owns the mechanically moved service, repository, HTTP, agent,
   or deterministic calculation code for that product area.
-- `backend/data/` owns provider construction, source policy, provenance, units, freshness,
-  coverage, display-versus-calculation eligibility, and shared numeric normalization policies.
+- `backend/data/` owns the website-side DataHub client, stable dataset contracts, provenance,
+  units, freshness, coverage, display-versus-calculation eligibility, and shared numeric
+  normalization policies. The website process does not construct or configure external market
+  providers; provider credentials, source selection, retries, fallbacks, caching, and backfill
+  belong exclusively to the `xiaobai-datahub` service.
 - `backend/data/providers/tushare_client.py` is the stable public `TushareClient` facade and
-  owns only its dataclass fields and shared cache state. Tushare HTTP transport belongs to
+  is retained as the dataset-contract compatibility surface and isolated test facade. Production
+  website services never instantiate it directly: its query methods are served by the DataHub
+  proxy. Its split modules document the stable contract: Tushare HTTP transport belongs to
   `tushare_transport.py`; market overview and realtime breadth belong to
   `tushare_dashboard.py`; indices belong to `tushare_indices.py`; Shenwan membership and
   industry snapshots belong to `tushare_industries.py`; generic sector snapshots belong to
@@ -54,7 +59,9 @@ background scheduler
   feature repository mixins; do not add feature queries to it.
 - `backend/jobs/` owns job definitions, locks, retries, idempotency, and persisted run state.
   `backend/jobs/service.py` is the application-facing owner of scheduler start/stop, manual
-  refresh submission, and periodic refresh coordination.
+  refresh submission, and periodic refresh coordination. `backend/jobs/refresh.py` owns
+  whether a dashboard payload is a usable refresh result versus a failed job, and whether
+  after-hours official catch-up is due.
 - `backend/llm/` owns model selection, membership/quota checks, fallback, provider transport,
   streaming rules, and call audit. Feature agents only prepare messages and interpret
   feature-specific results.

DOCKER_DEPLOY.md

@@ -14,18 +14,37 @@
     v
 xiaobai-review 容器 :8765
     |-- /app              只读应用代码
+    |   `-- backend/features/heaven/assets/heaven_knowledge.json
+    |                     镜像内 seed（不受 data 挂载遮盖）
     `-- /app/data         宿主机 ./data 持久化挂载
+        |-- review.db
+        |-- iching_zh.json
+        `-- heaven_knowledge.json   优先读取；缺失时回退到上方 seed
 ```
 
-账号、加密后的公共数据 Token、平台模型 API Key、生辰资料、行情快照和复盘数据均在
-`data/review.db`。解密密钥来自 `.env` 中的 `APP_ENCRYPTION_KEY`。数据库与
-密钥必须成对备份，任意一个丢失都无法恢复账号内的加密资料。
+账号、平台模型 API Key、生辰资料、行情快照和复盘数据均在 `data/review.db`。外部行情源
+Token 只允许保存在 `xiaobai-datahub` 的环境或凭据库，网站进程不读取、不保存，也不向
+提供方直接发请求。解密密钥来自 `.env` 中的 `APP_ENCRYPTION_KEY`。数据库与密钥必须成对
+备份，任意一个丢失都无法恢复账号内的加密资料。
+
+问天静态知识文件：
+
+- `data/iching_zh.json`、`data/heaven_knowledge.json` 纳入 Git 与镜像构建；
+  `.dockerignore` 不排除这两个文件（只排除 `data/*.db`、`data/cache/` 等运行时产物）。
+- Compose 把宿主机 `./data` 整目录挂到 `/app/data`，会遮盖镜像里同路径文件。
+  因此宿主机 `data/` 应保留上述两个 JSON；若只缺 `heaven_knowledge.json`，
+  服务会回退读取镜像内
+  `backend/features/heaven/assets/heaven_knowledge.json`，解势仍可用。
+- 持久化位置：正式环境以宿主机项目目录下的 `./data/heaven_knowledge.json` 为准；
+  补文件后无需改代码，重启容器即可加载。
 
 管理员私有的问师 Skill 保存在宿主机 `data/private-mentor-skills/`。该目录随 `data`
 挂载进入容器，但被 Git 与 Docker 构建上下文排除，不会进入 Gitea 或镜像。私有 Skill
 只对管理员账号返回和开放调用，也会随本指南的 `data` 备份一起保存。
 
-首个注册账号自动成为管理员。管理员在“系统管理”中配置全站共享行情、后台刷新、平台会员模型及手动会员；普通用户的“账号设置”用于个人资料、会员状态、修改密码和切换账号。后台行情更新不会主动刷新任何浏览器页面。
+首个注册账号自动成为管理员。管理员在网站“系统管理”中查看数据中枢状态并配置后台刷新、
+平台会员模型及手动会员；行情源凭据和调度策略在数据中枢后台统一管理。普通用户的“账号设置”
+用于个人资料、会员状态、修改密码和切换账号。后台行情更新不会主动刷新任何浏览器页面。
 
 ## 2. 服务器要求
 
@@ -149,87 +168,58 @@ docker compose restart xiaobai-review
 docker compose down
 ```
 
-### 镜像构建的唯一安全入口（2026-08 HEL-235 起）
+### 服务器本地目录更新与构建（日常推荐）
 
-生产机 `192.168.200.11` 上的 `/opt/1panel/docker/compose/xiaobaifupan` 只是历史文件树：
-不是 Git 仓库、内容停在旧提交、与线上镜像不一致，且其 `compose.yaml` 会把构建结果打进
-`xiaobai-review:latest`。**禁止在该目录（或任何服务器工作树）里 `docker build` /
-`docker compose build`**，否则会把已上线功能悄悄打回旧版。
-
-唯一安全构建方式是在有仓库检出、能免密 SSH 到部署机的机器上运行：
-
-```bash
-tools/build_image.sh <提交号> <镜像tag>
-# 示例：tools/build_image.sh cefc86917d89 verify-hel235-cefc869
-```
-
-该脚本的行为约束：
-
-- 先 `git fetch`，再把提交号解析为完整 SHA，解析失败立即中止，绝不使用本地脏状态或服务器旧目录；
-- 镜像 tag 必须以 `-<提交短号7位>` 结尾（如 `hel234-cefc869`），禁止 `latest`、`rollback-*`；
-- 通过 `git archive <提交> | ssh 部署机 docker build -` 流式构建，服务器上不存在构建用工作树；
-- 构建后回读镜像 label 里的 `org.opencontainers.image.revision`，与预期提交不一致则删除镜像并中止；
-- 每次构建在部署机 `~/xiaobai-build/BUILD_LOG.tsv` 留痕，可追溯每个镜像的来源提交。
-
-构建只产出镜像，不启动、不替换任何容器；换版用新 tag 起新容器，回滚用既有镜像 tag 重跑。
-
-### 使用 Gitea 更新程序（旧方式，生产机禁用）
-
-代码仓库为：
+生产机 `192.168.200.11` 的 `/opt/1panel/docker/compose/xiaobaifupan` 自 2026-08-29（HEL-235B）
+起已是受 Git 管理的工作目录，只跟踪 Gitea `main`（仓库
+`http://192.168.200.36:3200/leefer/xiaobai-review.git`）。由于目录顶层归 root，
+`.git` 存放在部署账号家目录（外部 Git 目录方案）：
 
 ```text
-http://192.168.200.36:3200/leefer/xiaobaifupan.git
+~/xiaobai-build/repos/xiaobai-review.git          Git 元数据（分支/历史/索引）
+/opt/1panel/docker/compose/xiaobaifupan           工作目录（程序文件本体）
+~/xiaobai-build/update-from-main.sh               一键更新+构建入口
+~/xiaobai-git                                    便捷查看（status/log/diff）
 ```
 
-首次在服务器部署代码时，可以直接克隆到目标目录：
+日常更新只需要在服务器上执行一条命令：
 
 ```bash
-sudo mkdir -p /opt/xiaobai-review
-sudo chown "$USER":"$USER" /opt/xiaobai-review
-git clone http://192.168.200.36:3200/leefer/xiaobaifupan.git /opt/xiaobai-review
-cd /opt/xiaobai-review
+~/xiaobai-build/update-from-main.sh            # 更新到 main 并构建 main-<短号> 镜像
+~/xiaobai-build/update-from-main.sh verify-tag main-a8732f5   # 部署前复核镜像与 main 一致
 ```
 
-私有仓库会提示输入 Gitea 用户名和密码或访问令牌。不要把密码写入仓库 URL、
-`compose.yaml` 或脚本。然后把原 `.env` 与 `data/` 放回该目录；这两项已被 Git
-忽略，后续拉取代码不会覆盖数据库与密钥。
+脚本在构建前强制完成五道校验，任一不符立即停止、不产出镜像：
 
-如需部署管理员私有问师，通过 NAS 文件管理器将本地
-`data/private-mentor-skills/` 复制到服务器项目的同名 `data` 目录，并保持目录仅由
-部署账号和容器运行用户读取。该内容不会通过 Gitea 同步。
+1. `git fetch` 成功（连不上 Gitea 即停）；
+2. 必须在 `main` 分支（智能体不得用功能分支直接当正式线）；
+3. 工作区无未提交改动、无多余文件；
+4. 只允许快进合并到 `origin/main`（分叉即停）；main 新增/删除顶层文件时会给出
+   需管理员执行的精确清单（目录顶层归 root）；
+5. 构建后回读镜像 `org.opencontainers.image.revision`，与 `main` 提交不一致则删除镜像。
 
-每次更新前先创建 SQLite 一致性备份，再拉取并重建容器（注意：`docker compose up -d --build`
-从服务器本地工作树构建，仅适用于来源可信的全新环境；生产机 `192.168.200.11` 禁用，
-请用 `tools/build_image.sh` 构建后换容器）：
+镜像 tag 固定为 `main-<提交短号7位>`（不带提交号的模糊 tag 一律禁止）；每次构建在
+`~/xiaobai-build/BUILD_LOG.tsv` 留痕。构建只产出镜像，不启动、不替换容器；换版与
+回滚步骤见 `~/xiaobai-build/README.md`。
 
-```bash
-cd /opt/xiaobai-review
-docker compose exec -T xiaobai-review python -c "import sqlite3; s=sqlite3.connect('/app/data/review.db'); d=sqlite3.connect('/app/data/review-before-update.db'); s.backup(d); d.close(); s.close()"
-git pull --ff-only origin main
-docker compose up -d --build
-docker compose ps
-curl --fail http://127.0.0.1:8765/api/health
-```
+`compose.yaml` 的镜像名与 revision 标签同样做了强校验：直接 `docker compose up -d --build`
+会因缺少 `XIAOBAI_GIT_REV` / `XIAOBAI_GIT_SHORT` 变量而拒绝执行，避免再出现构建进
+`latest` 的模糊版本。需要用 compose 时先 `export` 这两个变量（值以
+`~/xiaobai-build/xiaobai-git rev-parse HEAD` 为准），或直接用上面的脚本。
 
-`docker compose up -d --build` 会原地替换应用容器，不删除宿主机的 `data` 目录。
-数据库迁移会在新容器启动时自动执行。若 `git pull --ff-only` 提示本地代码有修改，
-先用 `git status` 查明原因，不要用强制重置覆盖 `.env` 或 `data`。
+### 智能体高级入口：Git 归档流式构建
 
-### 不使用 Git 时更新（生产机禁用）
+有仓库检出、能免密 SSH 到部署机的智能体可以用 `tools/build_image.sh <提交号> <镜像tag>`
+从任意明确提交流式构建（`git archive | ssh docker build`），tag 同样必须以
+`-<提交短号7位>` 结尾，构建后回读 revision 校验并留痕。用于在服务器不便拉取时的
+应急构建；日常正式线仍应走 `main`。
 
-`docker compose build` 会从服务器本地目录构建，来源提交不可追溯。生产机
-`192.168.200.11` 上禁止使用本节方式，一律改用上一节的 `tools/build_image.sh`。
+### 历史方式（已废弃）
 
-重新上传代码后执行：
-
-```bash
-docker compose down
-docker compose build --pull
-docker compose up -d
-```
-
-`docker compose down` 不会删除宿主机的 `data` 目录。不要使用带有手工删除
-`data` 目录的清理命令。
+早期文档建议在服务器重新 `git clone` 一份或手工上传代码后 `docker compose up --build`。
+这两条路径已废弃：服务器上**只允许存在一个受管工作目录**（上述
+`/opt/1panel/docker/compose/xiaobaifupan`），任何脱离 Git 校验的本地构建都会把
+来源提交变成不可追溯状态，禁止使用。
 
 ## 7. 备份与恢复
 

Dockerfile

@@ -23,7 +23,10 @@ COPY requirements.txt ./
 RUN python -m pip install --no-cache-dir -r requirements.txt
 
 COPY --chown=xiaobai:xiaobai . .
-RUN mkdir -p /app/data && chown -R xiaobai:xiaobai /app/data
+RUN mkdir -p /app/data && chown -R xiaobai:xiaobai /app/data \
+    && test -f /app/data/heaven_knowledge.json \
+    && test -f /app/data/iching_zh.json \
+    && test -f /app/backend/features/heaven/assets/heaven_knowledge.json
 
 USER xiaobai
 

README.md

@@ -1,76 +1,138 @@
-# 小白复盘 Web
+# 小白复盘
 
-一个面向 A 股盘后复盘的本地 Web 工作台。后端使用 Python 访问 Tushare Pro，前端不依赖构建工具。
+面向 A 股盘后复盘的本地 Web 工作台。收盘后把涨停、炸板、连板梯队、板块轮动、集合竞价、龙虎榜等数据整理成可浏览的复盘界面；不接券商、不代为下单，也不提供个股推荐。
 
-本目录是经过保真迁移、结构治理和用户人工验收的唯一正式源码，不依赖父目录旧程序或失败版本。
-目录职责见[ARCHITECTURE.md](ARCHITECTURE.md)，产品与维护文档见[docs/README.md](docs/README.md)。
+本目录是唯一正式源码。模块边界见 [ARCHITECTURE.md](ARCHITECTURE.md)，产品与维护文档见 [docs/README.md](docs/README.md)。
 
-当前包含集合竞价、涨停池、炸板池、跌停板、昨日涨停、涨停表现、市场天梯、板块轮动、题材库、人气热榜、龙虎榜和个人复盘工作区。交易日快照与同步记录保存在本地 SQLite 数据库 `data/review.db`。
+## 主要功能
 
-集合竞价中心采用盘前生命周期：9:15 前显示预告，9:15–9:25 明确等待最终竞价，9:25–9:30 自动读取并重试最终竞价筛选，9:30 后停止更新并冻结为复盘归档。当前 Tushare 只提供 9:25 最终竞价快照，不将其表述为动态虚拟撮合行情。
+登录后左侧共 16 个页面，另有一个内嵌页「策略持续跟踪」。交易日快照保存在本地 SQLite 数据库 `data/review.db`。
 
-第三阶段加入了机构席位、席位别名、个股复权日 K、资金流、自选股、涨停原因修订、个股笔记、每日复盘和历史数据回补。
+- **情绪周期**：0–100 情绪温度与阶段判定（默认首页）
+- **涨停池 / 炸板池 / 跌停板 / 昨日涨停 / 涨停表现**：封板结构、炸板、跌停与昨日反馈
+- **市场天梯**：按连板高度排列的市场梯队
+- **板块轮动**：近若干交易日板块热力与成分下钻
+- **集合竞价**：盘前生命周期；9:30 后停止更新并冻结为复盘归档。当前数据源提供 9:25 最终竞价快照，不是动态虚拟撮合行情
+- **题材库 / 人气热榜 / 龙虎榜**：题材成分、双榜人气、席位与游资档案
+- **智能选股**（会员）：六阶段策略、精选策略库、自然语言编译为受控公式后的确定性筛选与滚动回测；候选需手动加入后才进入五交易日跟踪
+- **问师**（会员）：按选定的游资思维 Skill 单师对话；新增公开角色时在 `游资skills` 下增加含 `SKILL.md` 的目录，并在 `游资skills/mentor_catalog.json` 登记。管理员私有角色放在 `data/private-mentor-skills`（不进 Git / 镜像）
+- **问天**（会员）：观势 / 观气 / 观心。卦象、干支、节气与气机由本地程序确定性计算，大模型只负责文字解释。此前仅冻结过界面视觉方案，现已解冻；问天可纳入后续数据与功能迁移，本阶段不主动重做视觉。
+- **我的复盘**：手工交易日志、每日复盘、提醒中心与复盘助手；不接券商、不自动下单
 
-股票代码在桌面端悬停后会显示分时与日 K 快速预览，默认优先展示日 K；移动端点击代码后从底部打开预览面板。股票详情以及板块、题材、指数详情均可在日 K 与最新分时之间切换。日 K 复用个股详情缓存；分时优先使用 iFinD，东方财富仅作隔离的展示兜底，并使用短时内存缓存。图表数据不写入主行情、不参与情绪、选股或问天计算；不可用时明确显示“分时不可用”，不会用日 K 模拟分时走势。
+全局能力：日间 / 夜间主题、股票代码悬停预览日 K 与分时、`Ctrl + K` 全局搜索。图表数据不写入主行情，也不参与情绪、选股或问天计算。
 
-智能选股包含六阶段盘后候选、29 套精选策略、自定义公式 DSL、自然语言公式编译、候选排名和滚动回测。阶段与精选策略在当日行情更新后由后台确定性计算；自定义选股由用户手动执行，LLM 只负责编译自然语言条件，不参与候选筛选。竞价、估值、财务、资金、人气和席位等字段按已登记的数据可用性进入因子库，缺失时明确显示覆盖问题。
+## 技术栈
 
-候选只有经用户手动加入后才进入五交易日持续跟踪，展示 T+1 开盘/收盘、T+3、T+5、最大涨幅与最大回撤。提醒中心支持手工日期提醒，并在策略首日反馈和五日跟踪完成时生成账号私有的站内提醒。
+| 层面 | 说明 |
+| --- | --- |
+| 运行时 | Python 3.12；标准库 `ThreadingHTTPServer`，无独立 Web 框架 |
+| 依赖 | `requirements.txt` 仅含 `cryptography`；问天历法使用仓库内 `vendor/lunar_python` |
+| 数据库 | SQLite（WAL），默认文件 `data/review.db` |
+| 前端 | 原生 HTML / CSS / JavaScript，无打包、无构建步骤 |
+| 部署 | Docker / Docker Compose，或本机直接运行 `server.py` |
+| 安全 | 账号密码 scrypt 哈希；行情 Token 与模型密钥用 `APP_ENCRYPTION_KEY` 加密后存库 |
 
-问师模块会读取当前复盘、近十日市场情绪、涨跌停、昨日反馈、板块轮动、市场阶段、龙虎榜和指定个股数据，再按选中的游资思维 Skill 进行单师对话。对话记录按账号、老师和交易日期保存在服务端；主模型不可用时自动切换辅助模型。
+## 环境要求
 
-新增公开问师角色时，在 `游资skills` 下增加一个包含 `SKILL.md` 的独立目录，并在 `游资skills/mentor_catalog.json` 中登记素材等级与结构质检。管理员私有角色放在 `data/private-mentor-skills`，该目录不进入 Git 或 Docker 镜像，且只会出现在管理员的问师列表中。系统会从 Skill 的 frontmatter、一级标题、核心模型和引用语中自动生成角色信息，无需修改注册代码。
+- Python 3.12（与 `Dockerfile` 一致）
+- 本机启动：能执行 `python` / `pip`
+- Docker 部署：Docker Engine 24+，Compose v2（`docker compose`）
+- 行情：部署者自行申请并配置 Tushare Pro Token；部分分时优先使用同花顺 iFinD（可选）
+- 问师、问天解释、复盘助手、自然语言编译公式：需配置 OpenAI 兼容接口；未配置时市场数据页仍可用
 
-问天模块包含三个相互独立的部分：观势以市场数据生成三才六爻，用于观察“势”，行情缺失或自动取象明显偏差时可显式手动校准六爻，人工结果与自动来源严格区分；观气依据干支、精确节气、五运六气及客主加临关系观察“运”，行业五行仅作传统取象归类；观心先准备1秒，再完成5轮“吸3秒、顿2秒、呼4秒”，随后以六次三枚铜钱起卦、察念和解卦完成一次不输入问题的问心仪式。卦象、干支、节气与气机关系均由本地确定性程序计算，LLM只负责解释，不参与起卦或改动结果。
+## 安装与启动
 
-问天模块使用项目本地的 `lunar-python` 计算历法，并使用 `data/iching_zh.json` 中的固定六十四卦、卦辞和爻辞。第三方授权见 `THIRD_PARTY_NOTICES.md`。
+仓库根目录即为运行目录（`server.py`、`requirements.txt` 都在根目录）。
 
-“我的复盘”包含结构化手工交易日志，可记录方向、价格、数量、仓位、盈亏、逻辑、执行、情绪和标签，不接券商也不自动下单。顶部“复盘助手”以流式方式读取市场统计、策略跟踪、提醒、个人复盘和交易日志；对话按账号保存，只提供分析和条件化计划。
-
-## 启动
-
-```powershell
-cd app
+```bash
 python -m pip install -r requirements.txt
 python server.py
 ```
 
-浏览器打开 `http://127.0.0.1:8765`，首次使用先注册账号。首个账号自动成为管理员，后续账号默认为普通用户。主行情不再回退演示数据：盘前、非交易日或临时取数失败时沿用最近真实收盘快照；没有任何真实快照时提示等待管理员完成首次同步。
+默认监听 `127.0.0.1:8765`（仅本机可访问）。浏览器打开该地址，首次使用先注册账号；第一个账号自动成为管理员，之后注册的默认为普通用户。
 
-需要后台启动本地验收端口时，使用`tools/start_local.ps1`。该工具把日志、进程号和Python缓存
-统一写入`runtime/`，不在源码根目录产生运行文件：
+主行情不再回退演示数据：盘前、非交易日或临时取数失败时沿用最近真实收盘快照；没有任何真实快照时，页面会提示等待管理员完成首次同步。
+
+可选参数：
+
+```bash
+python server.py --host 127.0.0.1 --port 8765
+```
+
+Windows 下若需要后台启动，并把日志、进程号和 Python 缓存写入 `runtime/`（不在源码根目录产生运行文件）：
 
 ```powershell
-powershell -ExecutionPolicy Bypass -File tools/start_local.ps1 -Port 8797
+powershell -ExecutionPolicy Bypass -File tools/start_local.ps1
 ```
 
-局域网 Docker 部署使用 `Dockerfile` 与 `compose.yaml`，完整的迁移、持久化、
-防火墙、备份和恢复步骤见 [DOCKER_DEPLOY.md](DOCKER_DEPLOY.md)。
+该脚本默认端口为 `8797`。统一验收：
 
-账号密码使用 scrypt 哈希；公共 Tushare Token、平台模型密钥以及原始生辰资料均使用 `APP_ENCRYPTION_KEY` 加密后保存在 SQLite。公共数据和平台模型归系统所有，生辰资料仍按账号隔离。普通用户不配置 LLM，只有管理员授权的有效会员可以使用平台模型。请将 `.env` 与数据库一起备份，丢失加密密钥后无法恢复这些资料。
+```bash
+python tools/verify_baseline.py
+```
 
-## 系统与账号配置
+涉及运行时或前端时再加 `--e2e`（Playwright）。
 
-管理员通过页面右上角“系统管理”保存公共 Tushare Token、平台主/辅助模型、会员每日额度和后台刷新开关。所有用户读取同一份 SQLite 行情快照，不再分别配置行情 Token。已有个人凭据中的 Tushare Token 会在升级时迁移到系统配置并从个人凭据移除。
+## Docker 使用
+
+局域网或服务器部署使用仓库根目录的 `Dockerfile` 与 `compose.yaml`。容器监听 `8765`，默认以非 root 用户运行，并把宿主机 `./data` 挂到容器内 `/app/data`。
+
+1. 复制 `.env.example` 为 `.env`，填入 `APP_ENCRYPTION_KEY` 以及行情 / 模型等初始化配置。密钥不会返回到浏览器。
+2. `compose.yaml` 构建时要求带上当前 Git 提交号，避免打出无版本标签的镜像：
+
+```bash
+export XIAOBAI_GIT_REV="$(git rev-parse HEAD)"
+export XIAOBAI_GIT_SHORT="$(git rev-parse --short=7 HEAD)"
+docker compose build
+docker compose up -d
+```
+
+3. 检查健康接口：
+
+```bash
+docker compose ps
+curl http://127.0.0.1:8765/api/health
+```
+
+健康响应类似 `{"ok": true, "storage": "sqlite", "account_required": true}`。
+
+完整的迁移、持久化、防火墙、备份、恢复与正式线构建入口见 [DOCKER_DEPLOY.md](DOCKER_DEPLOY.md)。`.env` 必须与数据库成对备份；丢失 `APP_ENCRYPTION_KEY` 后无法恢复加密资料。
+
+## 目录与配置
 
 ```text
-TUSHARE_TOKEN=你的Token
+server.py            进程入口
+backend/            服务、路由、数据、任务、LLM
+frontend/            无构建前端（shared + pages）
+config/              页面 / API / 任务等注册表
+data/                SQLite 与私有数据（数据库文件不进 Git）
+runtime/             本地日志、PID、缓存（不进 Git）
+tools/               启动、验收与构建辅助脚本
+游资skills/          公开问师角色
+vendor/              本地第三方库（含 lunar-python）
+Dockerfile
+compose.yaml
+.env.example         环境变量模板（复制为 .env 后填写）
 ```
 
-`.env` 中的 Tushare 和平台 LLM 配置只用于初始化系统配置，密钥不会返回到浏览器。后台刷新只在交易时段更新 SQLite 快照，不会主动刷新或重绘用户页面；用户点击页面“刷新”时读取最新快照。管理员也可点“后台刷新”立即启动一次后台同步，当前页面仍保持不变。
+管理员通过页面右上角「系统管理」保存公共 Tushare Token、平台主/辅助模型、会员每日额度和后台刷新开关。所有用户读取同一份 SQLite 行情快照。`.env` 中的 Tushare 和平台 LLM 配置只用于初始化系统配置。
 
-普通用户在“账号设置”中维护个人资料、查看会员状态和修改密码，不配置个人 LLM。有效会员自动使用平台模型；管理员可在“系统管理”中手动开通、续期、停用会员。平台模型受管理员设置的每日调用次数限制，管理员账号始终可用。
+普通用户在「账号设置」中维护个人资料、查看会员状态和修改密码，不配置个人 LLM。有效会员使用平台模型；管理员可开通、续期、停用会员。平台模型受每日调用次数限制，管理员账号始终可用。
 
-Tushare 各接口有独立积分权限。程序优先使用 `limit_list_d` 获取涨跌停明细；该接口不可用时，会尝试通过日线和每日涨跌停价格推算。
+相关文档：
 
-## 隔离实时聚合验证
+- [ARCHITECTURE.md](ARCHITECTURE.md) — 模块边界
+- [docs/README.md](docs/README.md) — 交接手册入口
+- [DOCKER_DEPLOY.md](DOCKER_DEPLOY.md) — Docker 部署、备份与恢复
+- [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) — 第三方授权（含问天历法库）
+- [AGENTS.md](AGENTS.md) — 维护约束
 
-`backend/data/realtime.py`用于验证东方财富、同花顺和选股宝网页数据源。它不写入 SQLite 主行情快照，也不参与情绪评分或智能选股；当 Tushare 实时指数权限不可用时，观势会使用东方财富三大指数和板块外显，并继续使用 Tushare 的板块成分内核与个股数据。
+## 注意事项与免责声明
 
-登录后可调用：
-
-```text
-GET /api/realtime-aggregate/health?sector=元器件
-```
-
-返回内容包括东方财富三大指数及板块快照、指数时间差、同花顺和选股宝可用性、每个来源的耗时与错误。盘中指数时间差不超过15秒，收盘后不超过120秒。`ready=true` 仅表示本次验证满足聚合层约束，不代表这些网页内部接口具有长期稳定性或商业使用授权。
+- 本项目是个人研究与复盘工具，全部数据、指标、候选与文字分析均不构成投资建议、证券推荐或买卖要约。
+- 不接券商、不代为下单。交易日志只做手工记录与统计，不代表实际成交。
+- 情绪温度、阶段判定、连板梯队、策略筛选等均为基于公开数据的统计与规则计算，不预测走势，不保证收益。
+- 「问天」属于传统文化视角的观察工具，不具备预测功能，不得作为投资依据。问天不是永久冻结区：此前只冻结过界面视觉方案，现已解冻，后续数据与功能迁移可以纳入。
+- 行情来自第三方接口，可能延迟、缺失或口径调整；不可用时页面会明确提示，请以交易所与券商正式披露为准。
+- 不要把服务端口直接暴露到公网。不要把 Token、密码、密钥、数据库或 `.env` 提交进 Git。
+- 股市有风险，入市需谨慎。投资决策及其后果由使用者本人承担。

backend/application.py

@@ -60,22 +60,6 @@ from backend.llm.service import LLMServiceMixin
 from database import ReviewDatabase
 
 
-LEGACY_SECRET_KEYS = {
-    "TUSHARE_TOKEN",
-    "IFIND_REFRESH_TOKEN",
-    "IFIND_ACCESS_TOKEN",
-    "LLM_API_KEY",
-    "LLM_BASE_URL",
-    "LLM_MODEL",
-    "LLM_PRIMARY_API_KEY",
-    "LLM_PRIMARY_BASE_URL",
-    "LLM_PRIMARY_MODEL",
-    "LLM_FALLBACK_API_KEY",
-    "LLM_FALLBACK_BASE_URL",
-    "LLM_FALLBACK_MODEL",
-}
-
-
 class DashboardService(
     SystemServiceMixin,
     AccountApplicationMixin,
@@ -121,7 +105,6 @@ class DashboardService(
             self._system_credentials,
             MENTOR_SKILLS_DIR,
             PRIVATE_MENTOR_SKILLS_DIR,
-            lambda: self.token,
         )
         self.data_gateway = self.container.data_gateway
         self.ifind = self.container.ifind

backend/bootstrap/container.py

@@ -2,7 +2,6 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 from pathlib import Path
-from collections.abc import Callable
 
 from backend.data import DataGateway, build_data_gateway
 from backend.database.repositories import RepositoryBundle, build_repository_bundle
@@ -13,8 +12,8 @@ from backend.features.screener.engine import ScreenerEngine
 from backend.features.screener.tracking import StrategyTrackingService
 from backend.jobs import InProcessJobRunner, JobRegistry, SQLiteJobRunRepository
 from database import ReviewDatabase
-from backend.data.providers.ifind_client import IfindHttpClient
-from backend.data.realtime import WebRealtimeAggregator
+from backend.data.datahub.ifind_proxy import HubIfindProxy
+from backend.data.datahub.realtime_proxy import HubRealtimeProxy
 from backend.features.market.charts import MarketChartClient
 
 
@@ -23,13 +22,13 @@ class ApplicationContainer:
     database: ReviewDatabase
     repositories: RepositoryBundle
     data_gateway: DataGateway
-    ifind: IfindHttpClient
+    ifind: HubIfindProxy
     screener: ScreenerEngine
     strategy_tracking: StrategyTrackingService
     alert_service: AlertService
     trade_journal: TradeJournalService
     mentor_skills: MentorSkillRegistry
-    realtime_aggregator: WebRealtimeAggregator
+    realtime_aggregator: HubRealtimeProxy
     chart_data: MarketChartClient
     jobs: InProcessJobRunner
 
@@ -39,9 +38,8 @@ def build_application_container(
     credentials: dict[str, object],
     mentor_skills_dir: Path,
     private_mentor_skills_dir: Path,
-    tushare_token_supplier: Callable[[], str] | None = None,
 ) -> ApplicationContainer:
-    data_gateway = build_data_gateway(credentials, tushare_token_supplier)
+    data_gateway = build_data_gateway(credentials)
     repositories = build_repository_bundle(database)
     jobs = InProcessJobRunner(JobRegistry.load(), SQLiteJobRunRepository(database))
     return ApplicationContainer(

backend/bootstrap/runtime.py

@@ -1,11 +1,23 @@
 from __future__ import annotations
 
 import argparse
+import logging
 from http.server import ThreadingHTTPServer
 from typing import Any
 
 
+def configure_logging() -> None:
+    """让 INFO 级结构化日志（含 datahub 影子对比报告）落到容器日志。"""
+    if logging.getLogger().handlers:
+        return
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(asctime)s %(levelname)s %(name)s %(message)s",
+    )
+
+
 def main(handler_class: type[Any] | None = None, service: Any | None = None) -> None:
+    configure_logging()
     if handler_class is None or service is None:
         from backend.application import RequestHandler, SERVICE
 

backend/bootstrap/settings.py

@@ -10,9 +10,8 @@ from backend.features.accounts.security import SecretVault
 
 def environment_credentials(environment: Mapping[str, str]) -> dict[str, str]:
     return {
-        "tushare_token": str(environment.get("TUSHARE_TOKEN") or "").strip(),
-        "ifind_refresh_token": str(environment.get("IFIND_REFRESH_TOKEN") or "").strip(),
-        "ifind_access_token": str(environment.get("IFIND_ACCESS_TOKEN") or "").strip(),
+        "datahub_token": str(environment.get("DATAHUB_TOKEN") or "").strip(),
+        "datahub_base_url": str(environment.get("DATAHUB_BASE_URL") or "").strip(),
         "platform_llm_primary_api_key": str(
             environment.get("LLM_PRIMARY_API_KEY") or environment.get("LLM_API_KEY") or ""
         ).strip(),

backend/data/datahub/__init__.py

@@ -0,0 +1,15 @@
+from backend.data.datahub.bridge import DatahubAwareTushareClient, DatahubBridge
+from backend.data.datahub.client import DatahubClient, DatahubResponse
+from backend.data.datahub.errors import DatahubError
+from backend.data.datahub.settings import DATASETS, DatahubSettings, DatasetFlags
+
+__all__ = [
+    "DATASETS",
+    "DatahubAwareTushareClient",
+    "DatahubBridge",
+    "DatahubClient",
+    "DatahubError",
+    "DatahubResponse",
+    "DatahubSettings",
+    "DatasetFlags",
+]

backend/data/datahub/bridge.py

@@ -0,0 +1,605 @@
+from __future__ import annotations
+
+import logging
+import sys
+from threading import Lock
+from typing import Any, Callable, ClassVar
+
+from backend.data.datahub.client import DatahubClient, DatahubResponse
+from backend.data.datahub.compare import compare_rows
+from backend.data.datahub.errors import DatahubError
+from backend.data.datahub.native import (
+    API_TO_DATASET,
+    filter_calendar_rows,
+    filter_stock_rows,
+    project_fields,
+    to_native_rows,
+    yyyymmdd,
+)
+from backend.data.datahub.redact import redact_text, redact_value
+from backend.data.datahub.route_state import LEDGER
+from backend.data.datahub.settings import DatahubSettings
+from backend.data.providers.tushare_daily import DailyMarketMixin
+from backend.data.providers.tushare_dashboard import DashboardMixin
+from backend.data.providers.tushare_dragon_tiger import DragonTigerMixin
+from backend.data.providers.tushare_indices import IndexMixin
+from backend.data.providers.tushare_industries import ShenwanIndustryMixin
+from backend.data.providers.tushare_sectors import SectorMixin
+from backend.data.providers.tushare_stocks import StockMixin
+from backend.data.providers.tushare_transport import TushareError
+
+LOGGER = logging.getLogger("xiaobai.datahub")
+ShadowSink = Callable[[dict[str, Any]], None]
+
+
+def _usable_intraday_points(rows: list[Any]) -> list[dict[str, Any]]:
+    points: list[dict[str, Any]] = []
+    for row in rows:
+        if not isinstance(row, dict):
+            continue
+        try:
+            close = float(row.get("close") or 0)
+        except (TypeError, ValueError):
+            close = 0.0
+        if close <= 0:
+            continue
+        point = dict(row)
+        if "average" not in point and point.get("avg_price") is not None:
+            point["average"] = point.get("avg_price")
+        points.append(point)
+    return points
+
+
+EMPTY_FAIL_DATASETS = {
+    "stocks", "daily", "index_daily", "valuation", "moneyflow", "auction",
+    "limit_events", "sector_daily",
+}
+
+
+def looks_like_heaven(module_name: str, filename: str = "") -> bool:
+    """问天调用栈识别（诊断用）。问天按数据集依赖接入，不再整栈强制旧链路。"""
+    path = filename.replace("\\", "/")
+    return module_name.startswith("backend.features.heaven") or "/features/heaven/" in path
+
+
+def caller_is_heaven(depth: int = 24) -> bool:
+    frame = sys._getframe(1)
+    for _ in range(depth):
+        frame = frame.f_back if frame is not None else None
+        if frame is None:
+            return False
+        name = str(frame.f_globals.get("__name__") or "")
+        filename = str(frame.f_code.co_filename or "")
+        if looks_like_heaven(name, filename):
+            return True
+    return False
+
+
+class DatahubBridge:
+    def __init__(
+        self,
+        settings: DatahubSettings,
+        client: DatahubClient,
+        shadow_sink: ShadowSink | None = None,
+        heaven_guard: Callable[[], bool] | None = None,
+    ) -> None:
+        self.settings = settings
+        self.client = client
+        self.shadow_sink = shadow_sink
+        self.heaven_guard = heaven_guard or caller_is_heaven
+
+    def dataset_status(self, trade_date: str) -> list[dict[str, Any]] | None:
+        flags = self.settings.flags("status")
+        if not flags.read and not flags.shadow:
+            return None
+        try:
+            response = self._require_fresh(self.client.dataset_status(yyyymmdd(trade_date)), "status")
+            rows = list(response.data or [])
+            if flags.shadow:
+                self._emit_shadow(compare_rows("status", [], rows, response.meta))
+            if flags.read:
+                return rows
+            return None
+        except Exception as exc:
+            self._log_failure("status", exc)
+            if flags.shadow:
+                self._emit_shadow(compare_rows("status", [], [], {}, self._error_text(exc)))
+            return None
+
+    def batches(self, trade_date: str, dataset: str = "") -> list[dict[str, Any]] | None:
+        flags = self.settings.flags("status")
+        if not flags.read:
+            return None
+        try:
+            response = self._require_fresh(
+                self.client.batches(yyyymmdd(trade_date), dataset),
+                "status",
+            )
+            return list(response.data or [])
+        except Exception as exc:
+            self._log_failure("status", exc)
+            return None
+
+    def try_intraday(self, code: str) -> dict[str, Any] | None:
+        flags = self.settings.flags("intraday")
+        if not flags.read:
+            return None
+        try:
+            response = self.client.intraday_points(code=code)
+            data = response.data
+            if not isinstance(data, dict):
+                raise DatahubError("EMPTY", "datahub intraday payload invalid")
+            points = _usable_intraday_points(data.get("points") or [])
+            if not points:
+                raise DatahubError("EMPTY", "datahub intraday empty")
+            if (response.meta or {}).get("stale"):
+                raise DatahubError("STALE", "datahub intraday stale")
+            self._record_route("intraday", "datahub", str((response.meta or {}).get("source") or "datahub"))
+            return {
+                "entity_type": str(data.get("entity_type") or "stock"),
+                "identifier": str(data.get("identifier") or code),
+                "name": str(data.get("name") or ""),
+                "code": str(data.get("code") or code),
+                "trade_date": str(data.get("trade_date") or points[-1].get("date") or ""),
+                "previous_close": float(data.get("previous_close") or 0),
+                "points": points,
+                "source": "datahub",
+            }
+        except Exception as exc:
+            self._log_failure("intraday", exc)
+            return None
+
+    def try_market_quotes(self, trade_date: str = "") -> list[dict[str, Any]] | None:
+        return self._try_quote_rows("quotes", {}, expected_date=trade_date, minimum=200)
+
+    def try_quotes(self, codes: list[str]) -> list[dict[str, Any]] | None:
+        cleaned = [str(item or "").strip() for item in codes if str(item or "").strip()]
+        if not cleaned:
+            return None
+        return self._try_quote_rows("quotes", {"codes": ",".join(cleaned)}, minimum=1)
+
+    def try_index_quotes(self) -> list[dict[str, Any]] | None:
+        flags = self.settings.flags("index_quotes")
+        if not flags.read:
+            return None
+        try:
+            response = self.client.index_quotes()
+            rows = [dict(item) for item in (response.data or []) if isinstance(item, dict)]
+            if len(rows) < 3:
+                raise DatahubError("EMPTY", "datahub index quotes incomplete")
+            if (response.meta or {}).get("stale"):
+                raise DatahubError("STALE", "datahub index quotes stale")
+            self._record_route(
+                "index_quotes",
+                "datahub",
+                str((response.meta or {}).get("source") or "datahub"),
+            )
+            return rows
+        except Exception as exc:
+            self._log_failure("index_quotes", exc)
+            return None
+
+    def try_sector_quote(self, code: str, trade_date: str = "") -> dict[str, Any] | None:
+        flags = self.settings.flags("quotes")
+        if not flags.read:
+            return None
+        try:
+            response = self.client.sector_quote(code, trade_date)
+            data = response.data
+            if not isinstance(data, dict) or not data:
+                raise DatahubError("EMPTY", "datahub sector quote empty")
+            row = dict(data)
+            if (response.meta or {}).get("stale"):
+                row["delayed"] = True
+                row["delay_seconds"] = int((response.meta or {}).get("staleness_seconds") or 0)
+                row["delay_notice"] = str((response.meta or {}).get("delay_notice") or "")
+            self._record_route("quotes", "datahub", str((response.meta or {}).get("source") or "datahub"))
+            return row
+        except Exception as exc:
+            self._log_failure("quotes", exc)
+            return None
+
+    def try_limit_pool(self, trade_date: str = "") -> list[dict[str, Any]] | None:
+        flags = self.settings.flags("limit_events")
+        if not flags.read:
+            return None
+        try:
+            response = self.client.limit_pool(trade_date)
+            rows = [dict(item) for item in (response.data or []) if isinstance(item, dict)]
+            if not rows:
+                raise DatahubError("EMPTY", "datahub limit pool empty")
+            self._record_route(
+                "limit_events",
+                "datahub",
+                str((response.meta or {}).get("source") or "datahub"),
+            )
+            return rows
+        except Exception as exc:
+            self._log_failure("limit_events", exc)
+            return None
+
+    def try_daily_chart(
+        self,
+        code: str,
+        end_date: str,
+        limit: int = 90,
+        dataset: str = "daily",
+    ) -> list[dict[str, Any]] | None:
+        flags = self.settings.flags(dataset)
+        if not flags.read:
+            return None
+        compact_end = yyyymmdd(end_date)
+        if not compact_end:
+            return None
+        try:
+            start = _shift_yyyymmdd(compact_end, -max(190, int(limit) * 3))
+            if dataset == "index_daily":
+                response = self._paginate(
+                    self.client.index_bars,
+                    {"code": code, "from": start, "to": compact_end},
+                )
+            elif dataset == "sector_daily":
+                response = self._paginate(
+                    self.client.sectors,
+                    {"code": code, "from": start, "to": compact_end},
+                )
+            else:
+                response = self._paginate(
+                    self.client.daily_bars,
+                    {"code": code, "from": start, "to": compact_end, "adjust": "none"},
+                )
+            # Charts can use a partial history window; do not discard usable bars
+            # just because the requested lookback is not fully covered.
+            self._validate_usable(
+                dataset,
+                list(response.data or []),
+                response,
+                require_complete=False,
+            )
+            rows = _chart_bars(list(response.data or []))
+            if not rows:
+                raise DatahubError("EMPTY", f"{dataset} chart empty")
+            self._record_route(dataset, "datahub", str((response.meta or {}).get("source") or "datahub"))
+            return rows[-max(1, int(limit)):]
+        except Exception as exc:
+            self._log_failure(dataset, exc)
+            return None
+
+    def record_legacy(self, dataset: str, source: str = "", error: str = "") -> None:
+        self._record_route(dataset, "legacy", source, error)
+
+    def route_snapshot(self) -> list[dict[str, Any]]:
+        return LEDGER.snapshot()
+
+    def _try_quote_rows(
+        self,
+        dataset: str,
+        params: dict[str, Any],
+        expected_date: str = "",
+        minimum: int = 1,
+    ) -> list[dict[str, Any]] | None:
+        flags = self.settings.flags(dataset)
+        if not flags.read:
+            return None
+        try:
+            response = self.client.quotes_latest(**params)
+            rows = [_native_quote(item) for item in (response.data or []) if isinstance(item, dict)]
+            rows = [item for item in rows if item]
+            want = yyyymmdd(expected_date)
+            if want:
+                dated = [item for item in rows if not item.get("quote_date") or item.get("quote_date") == want]
+                if dated:
+                    rows = dated
+            if len(rows) < minimum:
+                raise DatahubError("EMPTY", f"datahub {dataset} empty")
+            stale = bool((response.meta or {}).get("stale"))
+            delay = int((response.meta or {}).get("staleness_seconds") or 0)
+            notice = str((response.meta or {}).get("delay_notice") or "")
+            source = str((response.meta or {}).get("source") or "datahub")
+            if stale:
+                for item in rows:
+                    item["delayed"] = True
+                    item["delay_seconds"] = delay
+                    item["delay_notice"] = notice
+                    item["source"] = source
+            self._record_route(dataset, "datahub", source)
+            return rows
+        except Exception as exc:
+            self._log_failure(dataset, exc)
+            return None
+
+    def query(
+        self,
+        api_name: str,
+        params: dict[str, Any] | None = None,
+        fields: str = "",
+    ) -> list[dict[str, Any]]:
+        if api_name == "rt_sw_k":
+            raise TushareError("rt_sw_k is disabled; use published sw_daily or free Shenwan realtime")
+        dataset = API_TO_DATASET.get(api_name)
+        if dataset:
+            flags = self.settings.flags(dataset)
+            if flags.read:
+                try:
+                    response = self._fetch_dataset(dataset, params or {}, api_name=api_name)
+                    hub_canonical = self._extract_rows(dataset, response, params or {})
+                    hub_rows = to_native_rows(dataset, hub_canonical)
+                    self._validate_usable(dataset, hub_rows, response)
+                    self._record_route(dataset, "datahub", str(response.meta.get("source") or "datahub"))
+                    return project_fields(hub_rows, fields)
+                except Exception as exc:
+                    self._log_failure(dataset, exc)
+        try:
+            response = self.client.query_api(api_name, params or {}, fields)
+            rows = [dict(item) for item in (response.data or []) if isinstance(item, dict)]
+            if dataset:
+                self._record_route(dataset, "datahub", str((response.meta or {}).get("source") or "datahub"))
+            else:
+                self._record_route(api_name, "datahub", str((response.meta or {}).get("source") or "datahub"))
+            return rows if not fields else project_fields(rows, fields)
+        except Exception as exc:
+            self._log_failure(dataset or api_name, exc)
+            raise TushareError(self._error_text(exc)) from exc
+
+    def _fetch_dataset(self, dataset: str, params: dict[str, Any], api_name: str = "") -> DatahubResponse:
+        date = yyyymmdd(params.get("trade_date") or params.get("date"))
+        start = yyyymmdd(params.get("start_date") or params.get("from") or date)
+        end = yyyymmdd(params.get("end_date") or params.get("to") or date)
+        code = str(params.get("ts_code") or params.get("code") or "").strip()
+        if dataset == "calendar":
+            if not start or not end:
+                raise DatahubError("INVALID_ARGUMENT", "calendar requires start_date and end_date")
+            return self.client.calendar(start, end)
+        if dataset == "stocks":
+            return self._paginate(self.client.stocks, {})
+        fetchers = {
+            "daily": self.client.daily_bars,
+            "index_daily": self.client.index_bars,
+            "valuation": self.client.valuation,
+            "moneyflow": self.client.moneyflow,
+            "auction": self.client.auction,
+            "limit_events": self.client.limit_events,
+            "popularity": self.client.popularity,
+            "dragon_tiger": self.client.dragon_tiger,
+            "sector_daily": self.client.sectors,
+        }
+        fetcher = fetchers[dataset]
+        query: dict[str, Any] = {}
+        if code:
+            query["code"] = code
+        if date and not (params.get("start_date") or params.get("end_date")):
+            query["date"] = date
+        else:
+            if start:
+                query["from"] = start
+            if end:
+                query["to"] = end
+        if dataset == "daily":
+            query["adjust"] = "none"
+        if dataset == "limit_events":
+            limit_type = str(params.get("limit_type") or "").strip().upper()
+            if limit_type:
+                query["limit_type"] = limit_type
+        if dataset == "popularity":
+            if api_name == "ths_hot":
+                query["source"] = "ths"
+            elif api_name == "dc_hot":
+                query["source"] = "dc"
+        if dataset == "sector_daily":
+            family = {
+                "ths_daily": "ths",
+                "dc_index": "dc",
+                "sw_daily": "sw",
+            }.get(api_name, "")
+            if family:
+                query["family"] = family
+        return self._paginate(fetcher, query)
+
+    def _paginate(self, fetcher: Callable[..., DatahubResponse], params: dict[str, Any]) -> DatahubResponse:
+        limit = self.settings.page_limit
+        offset = 0
+        rows: list[Any] = []
+        meta: dict[str, Any] = {}
+        schema_version = 1
+        while True:
+            page = fetcher(**{**params, "limit": limit, "offset": offset})
+            meta = dict(page.meta)
+            schema_version = page.schema_version
+            data = page.data or []
+            if not isinstance(data, list):
+                raise DatahubError("INTERNAL", "datahub returned a non-list payload")
+            rows.extend(data)
+            if len(data) < limit:
+                break
+            offset += limit
+            if offset > 200_000:
+                break
+        return DatahubResponse(data=rows, meta=meta, schema_version=schema_version)
+
+    def _extract_rows(
+        self,
+        dataset: str,
+        response: DatahubResponse,
+        params: dict[str, Any],
+    ) -> list[dict[str, Any]]:
+        rows = [dict(item) for item in (response.data or [])]
+        if dataset == "calendar":
+            return filter_calendar_rows(rows, params)
+        if dataset == "stocks":
+            return filter_stock_rows(rows, params)
+        return rows
+
+    def _validate_usable(
+        self,
+        dataset: str,
+        rows: list[dict[str, Any]],
+        response: DatahubResponse,
+        require_complete: bool = True,
+    ) -> None:
+        meta = response.meta or {}
+        stale_seconds = int(meta.get("staleness_seconds") or 0)
+        if meta.get("stale") or stale_seconds > self.settings.stale_seconds_max:
+            raise DatahubError("STALE", f"{dataset} data is stale")
+        if dataset in EMPTY_FAIL_DATASETS and not rows:
+            raise DatahubError("EMPTY", f"{dataset} returned no rows")
+        coverage = meta.get("coverage") if isinstance(meta.get("coverage"), dict) else {}
+        if require_complete and (meta.get("incomplete") is True or coverage.get("complete") is False):
+            missing = coverage.get("missing_count")
+            raise DatahubError("INCOMPLETE", f"{dataset} range is incomplete missing={missing}")
+
+    def _require_fresh(self, response: DatahubResponse, dataset: str) -> DatahubResponse:
+        self._validate_usable(dataset, list(response.data or []) if isinstance(response.data, list) else [], response)
+        return response
+
+    def _emit_shadow(self, report: dict[str, Any]) -> None:
+        safe = redact_value(report, secrets=self.settings.secrets())
+        LOGGER.info("datahub shadow %s", safe)
+        if self.shadow_sink is not None:
+            self.shadow_sink(report)
+
+    def _log_failure(self, dataset: str, exc: Exception) -> None:
+        error = redact_text(self._error_text(exc), self.settings.secrets())
+        LOGGER.warning("datahub unavailable dataset=%s error=%s", dataset, error)
+        self._record_route(dataset, "datahub", "unavailable", error)
+
+    def _record_route(self, dataset: str, route: str, source: str = "", error: str = "") -> None:
+        LEDGER.record(dataset, route, source, redact_text(error, self.settings.secrets()))
+
+    def _error_text(self, exc: Exception) -> str:
+        if isinstance(exc, DatahubError):
+            text = f"{exc.code}: {exc.message}"
+        else:
+            text = str(exc)
+        return redact_text(text, self.settings.secrets())
+
+
+def _native_quote(row: dict[str, Any]) -> dict[str, Any] | None:
+    ts_code = str(row.get("ts_code") or "").strip()
+    close = _finite(row.get("close") if row.get("close") not in (None, "") else row.get("price"))
+    previous = _finite(
+        row.get("pre_close") if row.get("pre_close") not in (None, "") else row.get("previous_close")
+    )
+    if not ts_code or close <= 0 or previous <= 0:
+        return None
+    volume = _finite(row.get("vol") if row.get("vol") not in (None, "") else row.get("volume"))
+    payload = {
+        "ts_code": ts_code,
+        "name": str(row.get("name") or ts_code).strip(),
+        "pre_close": previous,
+        "open": _finite(row.get("open")),
+        "high": _finite(row.get("high")),
+        "low": _finite(row.get("low")),
+        "close": close,
+        "vol": volume,
+        "amount": _finite(row.get("amount")),
+        "num": 0,
+        "quote_date": yyyymmdd(row.get("quote_date") or row.get("trade_date")),
+        "source": str(row.get("source") or "datahub"),
+    }
+    if row.get("delayed"):
+        payload["delayed"] = True
+        payload["delay_seconds"] = int(row.get("delay_seconds") or 0)
+        payload["delay_notice"] = str(row.get("delay_notice") or "")
+    return payload
+
+
+def _chart_bars(rows: list[Any]) -> list[dict[str, Any]]:
+    normalized: list[dict[str, Any]] = []
+    for row in rows:
+        if not isinstance(row, dict):
+            continue
+        compact = yyyymmdd(row.get("trade_date"))
+        close = _finite(row.get("close"))
+        if len(compact) != 8 or close <= 0:
+            continue
+        volume = _finite(row.get("volume") if row.get("volume") not in (None, "") else row.get("vol"))
+        amount = _finite(row.get("amount"))
+        if volume and volume < close * 10 and amount > 1000:
+            volume = volume * 100
+        trade_date = f"{compact[:4]}-{compact[4:6]}-{compact[6:8]}"
+        previous = normalized[-1]["close"] if normalized else 0.0
+        normalized.append(
+            {
+                "trade_date": trade_date,
+                "open": _finite(row.get("open")),
+                "high": _finite(row.get("high")),
+                "low": _finite(row.get("low")),
+                "close": close,
+                "change": round((close / previous - 1) * 100, 4) if previous else _finite(row.get("pct_chg")),
+                "volume": volume,
+                "amount_billion": amount / 100_000_000,
+            }
+        )
+    return normalized
+
+
+def _shift_yyyymmdd(value: str, days: int) -> str:
+    from datetime import datetime, timedelta
+
+    stamp = datetime.strptime(value, "%Y%m%d")
+    return (stamp + timedelta(days=days)).strftime("%Y%m%d")
+
+
+def _finite(value: Any) -> float:
+    try:
+        return float(value or 0)
+    except (TypeError, ValueError):
+        return 0.0
+
+
+class DatahubAwareTushareClient(
+    DashboardMixin,
+    IndexMixin,
+    ShenwanIndustryMixin,
+    SectorMixin,
+    DragonTigerMixin,
+    StockMixin,
+    DailyMarketMixin,
+):
+    """Website market facade. Mixins call query(); query talks only to the hub."""
+
+    _realtime_reference_cache: ClassVar[dict[str, dict[str, Any]]] = {}
+    _realtime_reference_lock: ClassVar[Lock] = Lock()
+    _capital_cache: ClassVar[dict[str, dict[str, Any]]] = {}
+    _latest_realtime_market: ClassVar[dict[str, dict[str, Any]]] = {}
+    _stock_activity_cache: ClassVar[dict[str, dict[str, Any]]] = {}
+    _stock_listing_cache: ClassVar[dict[str, Any]] = {}
+    _stock_listing_lock: ClassVar[Lock] = Lock()
+    _suspension_cache: ClassVar[dict[str, dict[str, str] | None]] = {}
+    _suspension_lock: ClassVar[Lock] = Lock()
+    _sw_member_cache: ClassVar[dict[str, Any]] = {}
+    _sw_member_lock: ClassVar[Lock] = Lock()
+
+    def __init__(self, first: Any, second: Any | None = None) -> None:
+        # Production: DatahubAwareTushareClient(bridge)
+        # Older tests: DatahubAwareTushareClient(unused_legacy, bridge)
+        self._bridge = second if second is not None else first
+        self.token = "datahub"
+        self.timeout = 30
+        self.realtime_aggregator = None
+
+    def query(
+        self,
+        api_name: str,
+        params: dict[str, Any] | None = None,
+        fields: str = "",
+    ) -> list[dict[str, Any]]:
+        return self._bridge.query(api_name, params, fields)
+
+    def try_market_quotes(self, trade_date: str = "") -> list[dict[str, Any]] | None:
+        return self._bridge.try_market_quotes(trade_date)
+
+    def try_quotes(self, codes: list[str]) -> list[dict[str, Any]] | None:
+        return self._bridge.try_quotes(codes)
+
+    def try_index_quotes(self) -> list[dict[str, Any]] | None:
+        return self._bridge.try_index_quotes()
+
+    def try_sector_quote(self, code: str, trade_date: str = "") -> dict[str, Any] | None:
+        return self._bridge.try_sector_quote(code, trade_date)
+
+    def try_limit_pool(self, trade_date: str = "") -> list[dict[str, Any]] | None:
+        return self._bridge.try_limit_pool(trade_date)
+
+    def record_datahub_legacy(self, dataset: str, source: str = "", error: str = "") -> None:
+        self._bridge.record_legacy(dataset, source, error)

backend/data/datahub/client.py

@@ -0,0 +1,249 @@
+from __future__ import annotations
+
+import json
+import logging
+import urllib.error
+import urllib.parse
+import urllib.request
+from dataclasses import dataclass, field
+from typing import Any, Callable
+
+from backend.data.datahub.errors import DatahubError
+from backend.data.datahub.redact import redact_text
+from backend.data.datahub.settings import DatahubSettings
+
+LOGGER = logging.getLogger("xiaobai.datahub")
+UrlOpen = Callable[..., Any]
+
+
+@dataclass(frozen=True)
+class DatahubResponse:
+    data: Any
+    meta: dict[str, Any] = field(default_factory=dict)
+    schema_version: int = 1
+    status: int = 200
+
+
+class DatahubClient:
+    def __init__(
+        self,
+        settings: DatahubSettings,
+        urlopen: UrlOpen = urllib.request.urlopen,
+    ) -> None:
+        self.settings = settings
+        self._urlopen = urlopen
+
+    def health(self) -> DatahubResponse:
+        return self.get("/v1/health")
+
+    def calendar(self, start: str, end: str) -> DatahubResponse:
+        return self.get("/v1/calendar", {"from": start, "to": end})
+
+    def stocks(self, updated_since: str = "", limit: int | None = None, offset: int = 0) -> DatahubResponse:
+        params: dict[str, Any] = {"offset": offset, "limit": limit or self.settings.page_limit}
+        if updated_since:
+            params["updated_since"] = updated_since
+        return self.get("/v1/stocks", params)
+
+    def daily_bars(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/bars/daily", params)
+
+    def index_bars(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/indexes/bars", params)
+
+    def valuation(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/valuation", params)
+
+    def moneyflow(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/moneyflow", params)
+
+    def auction(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/auction", params)
+
+    def limit_events(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/limit-events", params)
+
+    def popularity(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/popularity", params)
+
+    def dragon_tiger(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/dragon-tiger", params)
+
+    def sectors(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/sectors", params)
+
+    def quotes_latest(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/quotes/latest", params)
+
+    def index_quotes(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/indexes/quotes", params)
+
+    def intraday_points(self, **params: Any) -> DatahubResponse:
+        return self.get("/v1/intraday/points", params)
+
+    def dataset_status(self, date: str) -> DatahubResponse:
+        return self.get("/v1/datasets/status", {"date": date})
+
+    def batches(self, date: str, dataset: str = "") -> DatahubResponse:
+        params: dict[str, Any] = {"date": date}
+        if dataset:
+            params["dataset"] = dataset
+        return self.get("/v1/batches", params)
+
+    def query_api(self, api_name: str, params: dict[str, Any] | None = None, fields: str = "") -> DatahubResponse:
+        return self.post(
+            "/v1/query",
+            {"api_name": api_name, "params": params or {}, "fields": fields},
+        )
+
+    def sector_quote(self, code: str, date: str = "") -> DatahubResponse:
+        payload: dict[str, Any] = {"code": code}
+        if date:
+            payload["date"] = date
+        return self.get("/v1/sectors/quote", payload)
+
+    def limit_pool(self, trade_date: str = "") -> DatahubResponse:
+        params: dict[str, Any] = {}
+        if trade_date:
+            params["date"] = trade_date
+        return self.get("/v1/limit-pool", params)
+
+    def get(self, path: str, params: dict[str, Any] | None = None) -> DatahubResponse:
+        if not self.settings.token:
+            raise DatahubError("NOT_CONFIGURED", "DATAHUB_TOKEN is not configured")
+        query = {
+            key: value
+            for key, value in (params or {}).items()
+            if value is not None and value != ""
+        }
+        url = self.settings.base_url + path
+        if query:
+            url = f"{url}?{urllib.parse.urlencode(query)}"
+        attempts = 1 + max(0, self.settings.retries)
+        last_error: DatahubError | None = None
+        for attempt in range(attempts):
+            try:
+                return self._request(url)
+            except DatahubError as exc:
+                last_error = exc
+                if exc.code not in {"TIMEOUT", "UNAVAILABLE"} or attempt + 1 >= attempts:
+                    raise
+                LOGGER.warning(
+                    "datahub retry %s/%s %s",
+                    attempt + 1,
+                    attempts,
+                    redact_text(str(exc), self.settings.secrets()),
+                )
+        raise last_error or DatahubError("INTERNAL", "datahub request failed")
+
+    def post(self, path: str, body: dict[str, Any] | None = None) -> DatahubResponse:
+        if not self.settings.token:
+            raise DatahubError("NOT_CONFIGURED", "DATAHUB_TOKEN is not configured")
+        url = self.settings.base_url + path
+        attempts = 1 + max(0, self.settings.retries)
+        last_error: DatahubError | None = None
+        payload = json.dumps(body or {}, ensure_ascii=False).encode("utf-8")
+        for attempt in range(attempts):
+            try:
+                return self._request(url, method="POST", data=payload)
+            except DatahubError as exc:
+                last_error = exc
+                if exc.code not in {"TIMEOUT", "UNAVAILABLE"} or attempt + 1 >= attempts:
+                    raise
+                LOGGER.warning(
+                    "datahub retry %s/%s %s",
+                    attempt + 1,
+                    attempts,
+                    redact_text(str(exc), self.settings.secrets()),
+                )
+        raise last_error or DatahubError("INTERNAL", "datahub request failed")
+
+    def _request(self, url: str, method: str = "GET", data: bytes | None = None) -> DatahubResponse:
+        headers = {
+            "Accept": "application/json",
+            "X-Datahub-Token": self.settings.token,
+            "User-Agent": "XiaobaiReviewDatahub/1.0",
+        }
+        if data is not None:
+            headers["Content-Type"] = "application/json"
+        request = urllib.request.Request(
+            url,
+            data=data,
+            headers=headers,
+            method=method,
+        )
+        try:
+            with self._urlopen(request, timeout=self.settings.timeout_seconds) as response:
+                status = int(getattr(response, "status", 200) or 200)
+                raw = response.read().decode("utf-8")
+        except TimeoutError as exc:
+            raise DatahubError("TIMEOUT", "datahub request timed out") from exc
+        except urllib.error.HTTPError as exc:
+            body = _read_error_body(exc)
+            raise _http_error(exc.code, body, self.settings.secrets()) from exc
+        except urllib.error.URLError as exc:
+            reason = redact_text(str(getattr(exc, "reason", exc)), self.settings.secrets())
+            if "timed out" in reason.lower():
+                raise DatahubError("TIMEOUT", "datahub request timed out") from exc
+            raise DatahubError("UNAVAILABLE", f"datahub unavailable: {reason}") from exc
+        payload = _parse_json(raw, self.settings.secrets())
+        return _as_response(payload, status, self.settings.secrets())
+
+
+def _parse_json(raw: str, secrets: tuple[str, ...]) -> dict[str, Any]:
+    try:
+        payload = json.loads(raw)
+    except json.JSONDecodeError as exc:
+        raise DatahubError("INTERNAL", "datahub returned invalid json") from exc
+    if not isinstance(payload, dict):
+        raise DatahubError("INTERNAL", "datahub returned a non-object payload")
+    return payload
+
+
+def _as_response(payload: dict[str, Any], status: int, secrets: tuple[str, ...]) -> DatahubResponse:
+    error = payload.get("error")
+    if isinstance(error, dict):
+        raise _mapped_error(str(error.get("code") or "INTERNAL"), str(error.get("message") or "datahub error"), status)
+    if status >= 400:
+        raise DatahubError("UNAVAILABLE", f"datahub http {status}", status)
+    return DatahubResponse(
+        data=payload.get("data"),
+        meta=dict(payload.get("meta") or {}),
+        schema_version=int(payload.get("schema_version") or 1),
+        status=status,
+    )
+
+
+def _http_error(status: int, payload: dict[str, Any], secrets: tuple[str, ...]) -> DatahubError:
+    error = payload.get("error") if isinstance(payload.get("error"), dict) else {}
+    code = str((error or {}).get("code") or "")
+    message = str((error or {}).get("message") or payload.get("message") or f"datahub http {status}")
+    message = redact_text(message, secrets)
+    if status == 401 or code == "UNAUTHORIZED":
+        return DatahubError("UNAUTHORIZED", message, status)
+    if status == 404 or code == "DATASET_NOT_PUBLISHED":
+        return DatahubError("DATASET_NOT_PUBLISHED", message, status)
+    if status == 400 or code == "INVALID_ARGUMENT":
+        return DatahubError("INVALID_ARGUMENT", message, status)
+    if status in {429, 503} or code in {"RATE_LIMITED", "SOURCE_UNAVAILABLE"}:
+        return DatahubError("UNAVAILABLE", message, status)
+    return DatahubError(code or "INTERNAL", message, status)
+
+
+def _mapped_error(code: str, message: str, status: int) -> DatahubError:
+    if code == "STALE_DATA":
+        return DatahubError("STALE", message, status)
+    if code in {"UNAUTHORIZED", "DATASET_NOT_PUBLISHED", "INVALID_ARGUMENT"}:
+        return DatahubError(code, message, status)
+    if code in {"RATE_LIMITED", "SOURCE_UNAVAILABLE"}:
+        return DatahubError("UNAVAILABLE", message, status)
+    return DatahubError(code or "INTERNAL", message, status)
+
+
+def _read_error_body(exc: urllib.error.HTTPError) -> dict[str, Any]:
+    try:
+        raw = exc.read().decode("utf-8")
+        payload = json.loads(raw)
+        return payload if isinstance(payload, dict) else {"message": raw}
+    except Exception:
+        return {"message": str(exc)}

backend/data/datahub/compare.py

@@ -0,0 +1,161 @@
+from __future__ import annotations
+
+from typing import Any
+
+from backend.data.datahub.native import SCALE_FIELDS, row_key, to_canonical_row, yyyymmdd
+
+NUMERIC_TOLERANCE = 1e-4
+CANONICAL_ALIASES = {"volume": "vol"}
+
+
+def compare_rows(
+    dataset: str,
+    legacy_rows: list[dict[str, Any]],
+    hub_rows: list[dict[str, Any]] | None,
+    hub_meta: dict[str, Any] | None = None,
+    hub_error: str | None = None,
+    fields: str = "",
+) -> dict[str, Any]:
+    hub = hub_rows or []
+    requested = _requested_fields(fields)
+    legacy_map = {row_key(dataset, row): row for row in legacy_rows}
+    hub_map = {row_key(dataset, _align_hub_row(row)): row for row in hub}
+    missing_hub = sorted(key for key in legacy_map if key not in hub_map)
+    missing_legacy = sorted(key for key in hub_map if key not in legacy_map)
+    value_diffs: list[dict[str, Any]] = []
+    unit_conversion: list[dict[str, Any]] = []
+    matched = 0
+    for key, legacy in legacy_map.items():
+        hub_row = hub_map.get(key)
+        if hub_row is None:
+            continue
+        field_report = _compare_fields(dataset, legacy, hub_row, requested)
+        if field_report["unit_conversion"]:
+            unit_conversion.append({"key": list(key), "fields": field_report["unit_conversion"]})
+        if field_report["value_diff"]:
+            value_diffs.append({"key": list(key), "fields": field_report["value_diff"]})
+        if not field_report["unit_conversion"] and not field_report["value_diff"]:
+            matched += 1
+    stale_seconds = int((hub_meta or {}).get("staleness_seconds") or 0)
+    time_skew = bool((hub_meta or {}).get("stale")) or stale_seconds > 0
+    return {
+        "dataset": dataset,
+        "legacy_rows": len(legacy_rows),
+        "hub_rows": len(hub),
+        "matched": matched,
+        "missing_hub": [list(item) for item in missing_hub[:20]],
+        "missing_legacy": [list(item) for item in missing_legacy[:20]],
+        "missing_hub_count": len(missing_hub),
+        "missing_legacy_count": len(missing_legacy),
+        "value_diff_count": len(value_diffs),
+        "unit_conversion_count": len(unit_conversion),
+        "value_diffs": value_diffs[:20],
+        "unit_conversion": unit_conversion[:20],
+        "time_skew": time_skew,
+        "staleness_seconds": stale_seconds,
+        "published_at": (hub_meta or {}).get("published_at"),
+        "trade_date": yyyymmdd((hub_meta or {}).get("trade_date")),
+        "hub_error": hub_error,
+        "fields_compared": sorted(requested) if requested is not None else None,
+        "equal": (
+            not hub_error
+            and not missing_hub
+            and not missing_legacy
+            and not value_diffs
+            and not unit_conversion
+            and not time_skew
+        ),
+    }
+
+
+def _align_hub_row(row: dict[str, Any]) -> dict[str, Any]:
+    aligned = dict(row)
+    if "volume" in aligned and "vol" not in aligned:
+        aligned["vol"] = aligned.get("volume")
+    return aligned
+
+
+def _requested_fields(fields: str) -> list[str] | None:
+    """Fields the website actually asked for; None means "no projection"."""
+    keys = [item.strip() for item in str(fields or "").split(",") if item.strip()]
+    if not keys:
+        return None
+    seen: list[str] = []
+    for key in keys:
+        canonical = CANONICAL_ALIASES.get(key, key)
+        if canonical not in seen:
+            seen.append(canonical)
+    return seen
+
+
+def _compare_fields(
+    dataset: str,
+    legacy: dict[str, Any],
+    hub: dict[str, Any],
+    requested: list[str] | None = None,
+) -> dict[str, list[dict[str, Any]]]:
+    canonical_legacy = to_canonical_row(dataset, legacy)
+    hub_canonical = _hub_canonical(dataset, hub)
+    native_hub = _align_hub_row(hub)
+    value_diff: list[dict[str, Any]] = []
+    unit_conversion: list[dict[str, Any]] = []
+    keys = (set(canonical_legacy) | set(hub_canonical)) - {"batch_id", "updated_at", "volume"}
+    if requested is not None:
+        # Compare only what the website asked for. Extra hub columns are
+        # transport detail, not business differences; a requested field still
+        # alarms when it is missing or holds a different value.
+        keys = set(requested) - {"batch_id", "updated_at", "volume"}
+    scales = SCALE_FIELDS.get(dataset) or {}
+    for field in sorted(keys):
+        left = canonical_legacy.get(field)
+        right = hub_canonical.get(field)
+        if _same(left, right):
+            continue
+        native_left = legacy.get(field)
+        hub_raw = native_hub.get(field)
+        if field in scales and _near(_optional(native_left), _optional(hub_raw)):
+            unit_conversion.append(
+                {"field": field, "legacy": native_left, "hub": hub_raw, "reason": "unit_conversion"}
+            )
+            continue
+        value_diff.append({"field": field, "legacy": left, "hub": right, "reason": "value_diff"})
+    return {"value_diff": value_diff, "unit_conversion": unit_conversion}
+
+
+def _hub_canonical(dataset: str, row: dict[str, Any]) -> dict[str, Any]:
+    """Hub API rows are already canonical; only align field names."""
+    aligned = dict(row)
+    if "volume" in aligned and "vol" not in aligned:
+        aligned["vol"] = aligned.get("volume")
+    if dataset == "calendar":
+        is_open = aligned.get("is_open")
+        aligned["is_open"] = 1 if is_open in (True, 1, "1", "Y", "y") else 0
+        aligned["cal_date"] = yyyymmdd(aligned.get("cal_date"))
+        aligned["pretrade_date"] = yyyymmdd(aligned.get("pretrade_date")) or None
+        aligned["exchange"] = str(aligned.get("exchange") or "SSE")
+    return aligned
+
+
+def _same(left: Any, right: Any) -> bool:
+    if left in (None, "") and right in (None, ""):
+        return True
+    if isinstance(left, (int, float)) or isinstance(right, (int, float)):
+        return _near(_optional(left), _optional(right))
+    return str(left or "") == str(right or "")
+
+
+def _near(left: float | None, right: float | None) -> bool:
+    if left is None and right is None:
+        return True
+    if left is None or right is None:
+        return False
+    return abs(left - right) <= max(NUMERIC_TOLERANCE, abs(left) * 1e-9, abs(right) * 1e-9)
+
+
+def _optional(value: Any) -> float | None:
+    if value in (None, ""):
+        return None
+    try:
+        return float(value)
+    except (TypeError, ValueError):
+        return None

backend/data/datahub/errors.py

@@ -0,0 +1,12 @@
+from __future__ import annotations
+
+
+class DatahubError(RuntimeError):
+    def __init__(self, code: str, message: str, status: int | None = None) -> None:
+        super().__init__(message)
+        self.code = code
+        self.message = message
+        self.status = status
+
+    def __str__(self) -> str:
+        return f"{self.code}: {self.message}"

backend/data/datahub/ifind_proxy.py

@@ -0,0 +1,140 @@
+from __future__ import annotations
+
+import time
+from typing import Any
+
+from backend.data.datahub.bridge import DatahubBridge
+from backend.data.datahub.errors import DatahubError
+from backend.data.providers.ifind_client import IfindError
+
+class HubIfindProxy:
+    """Website-facing iFinD facade. Talks only to xiaobai-datahub."""
+
+    def __init__(self, datahub: DatahubBridge) -> None:
+        self._datahub = datahub
+        self._status: dict[str, Any] | None = None
+        self._status_at = 0.0
+
+    @property
+    def configured(self) -> bool:
+        return bool(self.status().get("configured"))
+
+    def status(self) -> dict[str, Any]:
+        now = time.monotonic()
+        if self._status is not None and now - self._status_at < 30:
+            return dict(self._status)
+        fallback = {"configured": False, "access_ready": False, "access_expires_at": ""}
+        if not self._datahub.settings.token:
+            self._status = fallback
+            self._status_at = now
+            return dict(fallback)
+        try:
+            rows = self._rows("ifind_status", {})
+        except IfindError:
+            self._status = fallback
+            self._status_at = now
+            return dict(fallback)
+        row = rows[0] if rows else {}
+        status = {
+            "configured": bool(row.get("configured")),
+            "access_ready": bool(row.get("access_ready")),
+            "access_expires_at": str(row.get("access_expires_at") or ""),
+        }
+        self._status = status
+        self._status_at = now
+        return dict(status)
+
+    def wencai(self, query: str, search_type: str = "stock", cache_ttl: int = 300) -> list[dict[str, Any]]:
+        return self._rows(
+            "ifind_wencai",
+            {"query": query, "search_type": search_type, "cache_ttl": cache_ttl},
+        )
+
+    def snapshots(
+        self,
+        codes: str | list[str],
+        indicators: list[str],
+        start_time: str,
+        end_time: str,
+        cache_ttl: int = 8,
+    ) -> list[dict[str, Any]]:
+        return self._rows(
+            "ifind_snapshots",
+            {
+                "codes": codes,
+                "indicators": indicators,
+                "start_time": start_time,
+                "end_time": end_time,
+                "cache_ttl": cache_ttl,
+            },
+        )
+
+    def history(
+        self,
+        codes: str | list[str],
+        indicators: list[str],
+        start_date: str,
+        end_date: str,
+        cache_ttl: int = 300,
+    ) -> list[dict[str, Any]]:
+        return self._rows(
+            "ifind_history",
+            {
+                "codes": codes,
+                "indicators": indicators,
+                "start_date": start_date,
+                "end_date": end_date,
+                "cache_ttl": cache_ttl,
+            },
+        )
+
+    def real_time(
+        self,
+        codes: str | list[str],
+        indicators: list[str],
+        cache_ttl: int = 10,
+    ) -> list[dict[str, Any]]:
+        return self._rows(
+            "ifind_realtime",
+            {"codes": codes, "indicators": indicators, "cache_ttl": cache_ttl},
+        )
+
+    def intraday(
+        self,
+        code: str,
+        start_time: str,
+        end_time: str,
+        cache_ttl: int = 20,
+    ) -> list[dict[str, Any]]:
+        return self._rows(
+            "ifind_intraday",
+            {
+                "code": code,
+                "start_time": start_time,
+                "end_time": end_time,
+                "cache_ttl": cache_ttl,
+            },
+        )
+
+    def test_connection(self) -> dict[str, Any]:
+        payload = self.real_time(
+            "000001.SH",
+            ["open", "high", "low", "latest", "preClose"],
+            cache_ttl=0,
+        )
+        return {
+            "ok": bool(payload),
+            "sample_time": str(payload[0].get("time") or "") if payload else "",
+        }
+
+    def _rows(self, api_name: str, params: dict[str, Any]) -> list[dict[str, Any]]:
+        try:
+            response = self._datahub.client.query_api(api_name, params)
+        except DatahubError as exc:
+            raise IfindError(str(exc) or "iFinD 数据中枢暂不可用") from exc
+        data = response.data
+        if isinstance(data, list):
+            return [dict(item) for item in data if isinstance(item, dict)]
+        if isinstance(data, dict):
+            return [dict(data)]
+        return []

backend/data/datahub/native.py

@@ -0,0 +1,204 @@
+from __future__ import annotations
+
+from typing import Any
+
+from backend.data.numbers import finite_number
+
+
+AMOUNT_THOUSAND_YUAN = 1000.0
+AMOUNT_WAN_YUAN = 10000.0
+VOLUME_LOT = 100.0
+
+API_TO_DATASET = {
+    "trade_cal": "calendar",
+    "stock_basic": "stocks",
+    "daily": "daily",
+    "daily_basic": "valuation",
+    "index_daily": "index_daily",
+    "moneyflow": "moneyflow",
+    "stk_auction": "auction",
+    "limit_list_d": "limit_events",
+    "ths_hot": "popularity",
+    "dc_hot": "popularity",
+    "hm_detail": "dragon_tiger",
+    "ths_daily": "sector_daily",
+    "dc_index": "sector_daily",
+    "sw_daily": "sector_daily",
+}
+
+SCALE_FIELDS = {
+    "daily": {"vol": VOLUME_LOT, "amount": AMOUNT_THOUSAND_YUAN},
+    "index_daily": {"vol": VOLUME_LOT, "amount": AMOUNT_THOUSAND_YUAN},
+    "valuation": {"total_mv": AMOUNT_WAN_YUAN, "circ_mv": AMOUNT_WAN_YUAN},
+    "moneyflow": {
+        "buy_sm_amount": AMOUNT_WAN_YUAN,
+        "sell_sm_amount": AMOUNT_WAN_YUAN,
+        "buy_md_amount": AMOUNT_WAN_YUAN,
+        "sell_md_amount": AMOUNT_WAN_YUAN,
+        "buy_lg_amount": AMOUNT_WAN_YUAN,
+        "sell_lg_amount": AMOUNT_WAN_YUAN,
+        "buy_elg_amount": AMOUNT_WAN_YUAN,
+        "sell_elg_amount": AMOUNT_WAN_YUAN,
+        "net_mf_amount": AMOUNT_WAN_YUAN,
+    },
+    "auction": {"vol": VOLUME_LOT, "float_share": AMOUNT_WAN_YUAN},
+    "limit_events": {
+        "limit_amount": AMOUNT_WAN_YUAN,
+        "float_mv": AMOUNT_WAN_YUAN,
+        "total_mv": AMOUNT_WAN_YUAN,
+    },
+    "dragon_tiger": {
+        "buy_amount": AMOUNT_WAN_YUAN,
+        "sell_amount": AMOUNT_WAN_YUAN,
+        "net_amount": AMOUNT_WAN_YUAN,
+    },
+}
+
+
+def yyyymmdd(value: Any) -> str:
+    return str(value or "").replace("-", "")[:8]
+
+
+def to_native_rows(dataset: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    return [to_native_row(dataset, row) for row in rows]
+
+
+def to_native_row(dataset: str, row: dict[str, Any]) -> dict[str, Any]:
+    if dataset == "calendar":
+        is_open = row.get("is_open")
+        return {
+            "exchange": str(row.get("exchange") or "SSE"),
+            "cal_date": yyyymmdd(row.get("cal_date")),
+            "is_open": 1 if is_open in (True, 1, "1", "Y", "y") else 0,
+            "pretrade_date": yyyymmdd(row.get("pretrade_date")) or None,
+        }
+    converted = dict(row)
+    converted.pop("batch_id", None)
+    if "volume" in converted and "vol" not in converted:
+        converted["vol"] = converted.pop("volume")
+    elif "volume" in converted:
+        converted.pop("volume", None)
+    scales = SCALE_FIELDS.get(dataset) or {}
+    for field, factor in scales.items():
+        if field in converted:
+            converted[field] = _unscale(converted.get(field), factor)
+    if dataset == "stocks":
+        converted.pop("updated_at", None)
+    if dataset == "popularity":
+        # keep hub source; callers filter ths/dc themselves when needed
+        if converted.get("ts_name") and not converted.get("name"):
+            converted["name"] = converted.get("ts_name")
+    if dataset == "dragon_tiger":
+        if converted.get("ts_name") and not converted.get("name"):
+            converted["name"] = converted.get("ts_name")
+    if dataset == "sector_daily":
+        if converted.get("pct_change") is not None and converted.get("pct_chg") is None:
+            converted["pct_chg"] = converted.get("pct_change")
+    return converted
+
+
+def to_canonical_row(dataset: str, row: dict[str, Any]) -> dict[str, Any]:
+    if dataset == "calendar":
+        is_open = row.get("is_open")
+        return {
+            "exchange": str(row.get("exchange") or "SSE"),
+            "cal_date": yyyymmdd(row.get("cal_date")),
+            "is_open": 1 if is_open in (True, 1, "1", "Y", "y") else 0,
+            "pretrade_date": yyyymmdd(row.get("pretrade_date")) or None,
+        }
+    converted = dict(row)
+    if "volume" in converted and "vol" not in converted:
+        converted["vol"] = converted.pop("volume")
+    scales = SCALE_FIELDS.get(dataset) or {}
+    for field, factor in scales.items():
+        if field in converted:
+            converted[field] = _scale(converted.get(field), factor)
+    return converted
+
+
+def row_key(dataset: str, row: dict[str, Any]) -> tuple[str, ...]:
+    if dataset == "calendar":
+        return (yyyymmdd(row.get("cal_date")),)
+    if dataset == "stocks":
+        return (str(row.get("ts_code") or "").upper(),)
+    if dataset == "status":
+        return (str(row.get("dataset") or ""), yyyymmdd(row.get("trade_date")))
+    if dataset == "limit_events":
+        return (
+            str(row.get("ts_code") or "").upper(),
+            yyyymmdd(row.get("trade_date")),
+            str(row.get("limit_type") or ""),
+        )
+    if dataset == "popularity":
+        return (
+            str(row.get("ts_code") or "").upper(),
+            yyyymmdd(row.get("trade_date")),
+            str(row.get("source") or ""),
+        )
+    if dataset == "dragon_tiger":
+        return (
+            str(row.get("ts_code") or "").upper(),
+            yyyymmdd(row.get("trade_date")),
+            str(row.get("hm_name") or ""),
+        )
+    if dataset == "sector_daily":
+        return (
+            str(row.get("ts_code") or "").upper(),
+            yyyymmdd(row.get("trade_date")),
+            str(row.get("family") or ""),
+        )
+    return (str(row.get("ts_code") or "").upper(), yyyymmdd(row.get("trade_date")))
+
+
+def project_fields(rows: list[dict[str, Any]], fields: str) -> list[dict[str, Any]]:
+    keys = [item.strip() for item in str(fields or "").split(",") if item.strip()]
+    if not keys:
+        return rows
+    return [{key: row.get(key) for key in keys} for row in rows]
+
+
+def filter_stock_rows(rows: list[dict[str, Any]], params: dict[str, Any] | None) -> list[dict[str, Any]]:
+    payload = params or {}
+    ts_code = str(payload.get("ts_code") or "").strip().upper()
+    status = str(payload.get("list_status") or "").strip()
+    name = str(payload.get("name") or "").strip()
+    filtered = rows
+    if ts_code:
+        filtered = [row for row in filtered if str(row.get("ts_code") or "").upper() == ts_code]
+    if status:
+        filtered = [row for row in filtered if str(row.get("list_status") or status) == status]
+    if name:
+        filtered = [row for row in filtered if name.casefold() in str(row.get("name") or "").casefold()]
+    return filtered
+
+
+def filter_calendar_rows(rows: list[dict[str, Any]], params: dict[str, Any] | None) -> list[dict[str, Any]]:
+    payload = params or {}
+    if payload.get("is_open") in (1, "1", True):
+        return [row for row in rows if int(row.get("is_open") or 0) == 1]
+    if payload.get("is_open") in (0, "0", False):
+        return [row for row in rows if int(row.get("is_open") or 0) == 0]
+    return rows
+
+
+def _scale(value: Any, factor: float) -> float | None:
+    number = _optional_number(value)
+    if number is None:
+        return None
+    return number * factor
+
+
+def _unscale(value: Any, factor: float) -> float | None:
+    number = _optional_number(value)
+    if number is None or factor == 0:
+        return None
+    return number / factor
+
+
+def _optional_number(value: Any) -> float | None:
+    if value in (None, ""):
+        return None
+    number = finite_number(value, default=float("nan"))
+    if number != number:
+        return None
+    return number

backend/data/datahub/realtime_proxy.py

@@ -0,0 +1,180 @@
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any
+
+from backend.data.datahub.bridge import DatahubBridge
+from backend.data.realtime import RealtimeAggregateError
+
+
+class HubRealtimeProxy:
+    """Realtime observation facade. Talks only to xiaobai-datahub."""
+
+    def __init__(self, datahub: DatahubBridge) -> None:
+        self._datahub = datahub
+
+    def health_snapshot(self, sector: str = "") -> dict[str, Any]:
+        started = datetime.now().astimezone()
+        indices: list[dict[str, Any]] = []
+        error = ""
+        try:
+            indices = self.tencent_indices()
+        except RealtimeAggregateError as exc:
+            error = str(exc)
+        epochs = [int(item.get("quote_time_epoch") or 0) for item in indices]
+        now = datetime.now().astimezone()
+        max_skew = 120 if now.hour >= 15 else 15
+        index_consistent = bool(epochs) and max(epochs) - min(epochs) <= max_skew
+        ready = len(indices) == 3 and index_consistent
+        return {
+            "ready": ready,
+            "isolated": True,
+            "generated_at": started.isoformat(timespec="seconds"),
+            "elapsed_ms": 0,
+            "indices": indices,
+            "index_consistent": index_consistent,
+            "sector": None,
+            "sources": {
+                "datahub_indices": {
+                    "ok": ready,
+                    "error": error,
+                    "source": "datahub",
+                }
+            },
+            "observations": {},
+            "policy": {
+                "integration": "datahub_exclusive",
+                "max_index_time_skew_seconds": max_skew,
+                "notice": "实时观察只走数据中枢，主网站不再直连东财/腾讯。",
+            },
+        }
+
+    def tencent_indices(self) -> list[dict[str, Any]]:
+        rows = self._datahub.try_index_quotes() or []
+        result = [_as_index(item) for item in rows if _as_index(item)]
+        wanted = {"000001", "399001", "399006"}
+        result = [item for item in result if item.get("code") in wanted]
+        result.sort(key=lambda item: str(item.get("code") or ""))
+        if len(result) != 3:
+            raise RealtimeAggregateError(f"datahub returned {len(result)}/3 indices")
+        return result
+
+    def eastmoney_indices(self) -> list[dict[str, Any]]:
+        return self.tencent_indices()
+
+    def tencent_stock_quote(self, code: str, expected_date: str = "") -> dict[str, Any]:
+        return self._stock_quote(code, expected_date)
+
+    def eastmoney_stock_quote(self, code: str, expected_date: str = "") -> dict[str, Any]:
+        return self._stock_quote(code, expected_date)
+
+    def tencent_stock_quotes(
+        self,
+        codes: list[str],
+        expected_date: str = "",
+        minimum: int | None = None,
+    ) -> list[dict[str, Any]]:
+        return self._stock_quotes(codes, expected_date, minimum)
+
+    def eastmoney_stock_quotes(
+        self,
+        codes: list[str],
+        expected_date: str = "",
+    ) -> list[dict[str, Any]]:
+        return self._stock_quotes(codes, expected_date, None)
+
+    def eastmoney_shenwan_quote(self, ts_code: str, expected_date: str = "") -> dict[str, Any]:
+        quote = self._datahub.try_sector_quote(ts_code, expected_date)
+        if not quote:
+            raise RealtimeAggregateError(f"datahub shenwan quote unavailable for {ts_code}")
+        return quote
+
+    def _stock_quote(self, code: str, expected_date: str) -> dict[str, Any]:
+        rows = self._stock_quotes([code], expected_date, 1)
+        if not rows:
+            raise RealtimeAggregateError(f"datahub stock quote unavailable for {code}")
+        return rows[0]
+
+    def _stock_quotes(
+        self,
+        codes: list[str],
+        expected_date: str,
+        minimum: int | None,
+    ) -> list[dict[str, Any]]:
+        cleaned = [str(item or "").strip() for item in codes if str(item or "").strip()]
+        rows = self._datahub.try_quotes(cleaned) if cleaned else (self._datahub.try_market_quotes(expected_date) or [])
+        quotes = [_as_stock(item) for item in (rows or []) if _as_stock(item)]
+        if expected_date:
+            compact = str(expected_date).replace("-", "")
+            quotes = [
+                item
+                for item in quotes
+                if not item.get("quote_date") or str(item.get("quote_date") or "").replace("-", "") == compact
+            ]
+        if minimum is not None and len(quotes) < minimum:
+            raise RealtimeAggregateError(f"datahub returned {len(quotes)} quotes, need {minimum}")
+        return quotes
+
+
+def _as_index(row: dict[str, Any]) -> dict[str, Any] | None:
+    code = str(row.get("code") or str(row.get("ts_code") or "").split(".")[0] or "")
+    price = _number(row.get("price") if row.get("price") not in (None, "") else row.get("close"))
+    if not code or price <= 0:
+        return None
+    epoch = int(_number(row.get("quote_time_epoch")))
+    amount = _number(row.get("amount_billion"))
+    if amount <= 0:
+        amount = round(_number(row.get("amount")) / 100_000_000, 2)
+    return {
+        "code": code,
+        "name": row.get("name") or code,
+        "price": price,
+        "change": _number(row.get("change") if row.get("change") not in (None, "") else row.get("pct_chg")),
+        "change_amount": _number(row.get("change_amount")),
+        "open": _number(row.get("open")),
+        "high": _number(row.get("high")),
+        "low": _number(row.get("low")),
+        "previous_close": _number(
+            row.get("previous_close") if row.get("previous_close") not in (None, "") else row.get("pre_close")
+        ),
+        "amount_billion": amount,
+        "quote_time_epoch": epoch,
+        "quote_time": str(row.get("quote_time") or ""),
+        "source": str(row.get("source") or "datahub"),
+        "cache_age_seconds": 0,
+    }
+
+
+def _as_stock(row: dict[str, Any]) -> dict[str, Any] | None:
+    close = _number(row.get("close") if row.get("close") not in (None, "") else row.get("price"))
+    if close <= 0:
+        return None
+    ts_code = str(row.get("ts_code") or "")
+    code = str(row.get("code") or ts_code.split(".")[0] or "")
+    return {
+        "ts_code": ts_code or code,
+        "code": code,
+        "name": row.get("name") or "",
+        "close": close,
+        "pre_close": _number(
+            row.get("pre_close") if row.get("pre_close") not in (None, "") else row.get("previous_close")
+        ),
+        "open": _number(row.get("open")),
+        "high": _number(row.get("high")),
+        "low": _number(row.get("low")),
+        "volume": _number(row.get("volume") if row.get("volume") not in (None, "") else row.get("vol")),
+        "vol": _number(row.get("vol") if row.get("vol") not in (None, "") else row.get("volume")),
+        "amount": _number(row.get("amount")),
+        "quote_time_epoch": int(_number(row.get("quote_time_epoch"))),
+        "quote_time": str(row.get("quote_time") or ""),
+        "quote_date": str(row.get("quote_date") or ""),
+        "source": str(row.get("source") or "datahub"),
+        "delayed": bool(row.get("delayed")),
+    }
+
+
+def _number(value: Any) -> float:
+    try:
+        return float(value or 0)
+    except (TypeError, ValueError):
+        return 0.0

backend/data/datahub/redact.py

@@ -0,0 +1,39 @@
+from __future__ import annotations
+
+from typing import Any
+
+
+SECRET_HINTS = (
+    "token",
+    "password",
+    "secret",
+    "key",
+    "authorization",
+    "credential",
+    "cookie",
+)
+
+
+def redact_value(value: Any, key: str = "", secrets: tuple[str, ...] = ()) -> Any:
+    lowered = key.lower()
+    if any(part in lowered for part in SECRET_HINTS):
+        return "***"
+    if isinstance(value, dict):
+        return {
+            str(item_key): redact_value(item_value, str(item_key), secrets)
+            for item_key, item_value in value.items()
+        }
+    if isinstance(value, list):
+        return [redact_value(item, key, secrets) for item in value]
+    text = str(value) if value is not None and not isinstance(value, (int, float, bool)) else value
+    if isinstance(text, str):
+        return redact_text(text, secrets)
+    return value
+
+
+def redact_text(text: str, secrets: tuple[str, ...] = ()) -> str:
+    redacted = text
+    for secret in secrets:
+        if secret:
+            redacted = redacted.replace(secret, "***")
+    return redacted

backend/data/datahub/route_state.py

@@ -0,0 +1,57 @@
+from __future__ import annotations
+
+from datetime import datetime
+from threading import Lock
+from typing import Any
+
+from backend.data.datahub.settings import DATASETS
+
+DATASET_LABELS = {
+    "calendar": "交易日历",
+    "stocks": "股票主档",
+    "daily": "个股日K",
+    "index_daily": "指数日K",
+    "valuation": "估值",
+    "moneyflow": "资金流",
+    "auction": "竞价",
+    "limit_events": "涨停池",
+    "popularity": "人气榜",
+    "dragon_tiger": "龙虎榜",
+    "sector_daily": "题材板块",
+    "quotes": "全市场实时行情",
+    "index_quotes": "指数实时行情",
+    "intraday": "分时",
+    "status": "数据集状态",
+}
+
+
+class DatahubRouteLedger:
+    def __init__(self) -> None:
+        self._lock = Lock()
+        self._rows: dict[str, dict[str, Any]] = {}
+
+    def record(self, dataset: str, route: str, source: str = "", error: str = "") -> None:
+        name = str(dataset or "").strip() or "unknown"
+        with self._lock:
+            self._rows[name] = {
+                "dataset": name,
+                "label": DATASET_LABELS.get(name, name),
+                "route": "legacy" if route == "legacy" else "datahub",
+                "source": str(source or "").strip(),
+                "error": str(error or "").strip(),
+                "at": datetime.now().astimezone().isoformat(timespec="seconds"),
+            }
+
+    def snapshot(self) -> list[dict[str, Any]]:
+        with self._lock:
+            rows = [dict(item) for item in self._rows.values()]
+        order = {name: index for index, name in enumerate(DATASETS)}
+        rows.sort(key=lambda item: (order.get(str(item.get("dataset")), 99), str(item.get("dataset"))))
+        return rows
+
+    def clear(self) -> None:
+        with self._lock:
+            self._rows.clear()
+
+
+LEDGER = DatahubRouteLedger()

backend/data/datahub/settings.py

@@ -0,0 +1,134 @@
+from __future__ import annotations
+
+import json
+import os
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any, Mapping
+
+from backend.bootstrap.config import APP_DIR
+
+
+DATASETS = (
+    "calendar",
+    "stocks",
+    "daily",
+    "index_daily",
+    "valuation",
+    "moneyflow",
+    "auction",
+    "limit_events",
+    "popularity",
+    "dragon_tiger",
+    "sector_daily",
+    "quotes",
+    "index_quotes",
+    "intraday",
+    "status",
+)
+
+ENV_DATASET = {
+    "calendar": "CALENDAR",
+    "stocks": "STOCKS",
+    "daily": "DAILY",
+    "index_daily": "INDEX_DAILY",
+    "valuation": "VALUATION",
+    "moneyflow": "MONEYFLOW",
+    "auction": "AUCTION",
+    "limit_events": "LIMIT_EVENTS",
+    "popularity": "POPULARITY",
+    "dragon_tiger": "DRAGON_TIGER",
+    "sector_daily": "SECTOR_DAILY",
+    "quotes": "QUOTES",
+    "index_quotes": "INDEX_QUOTES",
+    "intraday": "INTRADAY",
+    "status": "STATUS",
+}
+
+DEFAULT_CONFIG_PATH = APP_DIR / "config" / "datahub.config.json"
+
+
+def _truthy(value: Any) -> bool:
+    return str(value or "").strip().lower() in {"1", "true", "yes", "on"}
+
+
+def _int(value: Any, default: int) -> int:
+    try:
+        return int(value)
+    except (TypeError, ValueError):
+        return default
+
+
+@dataclass(frozen=True)
+class DatasetFlags:
+    name: str
+    read: bool = False
+    shadow: bool = False
+
+
+@dataclass(frozen=True)
+class DatahubSettings:
+    base_url: str
+    token: str
+    timeout_seconds: int = 8
+    retries: int = 1
+    page_limit: int = 5000
+    stale_seconds_max: int = 86400
+    datasets: dict[str, DatasetFlags] | None = None
+
+    def flags(self, dataset: str) -> DatasetFlags:
+        mapped = self.datasets or {}
+        return mapped.get(dataset) or DatasetFlags(dataset)
+
+    def any_enabled(self) -> bool:
+        return any(item.read or item.shadow for item in (self.datasets or {}).values())
+
+    def secrets(self) -> tuple[str, ...]:
+        return tuple(item for item in (self.token,) if item)
+
+    @classmethod
+    def load(
+        cls,
+        path: Path | None = None,
+        environ: Mapping[str, str] | None = None,
+        credentials: Mapping[str, object] | None = None,
+    ) -> "DatahubSettings":
+        config_path = path or DEFAULT_CONFIG_PATH
+        payload: dict[str, Any] = {}
+        if config_path.is_file():
+            payload = json.loads(config_path.read_text(encoding="utf-8"))
+        env = dict(os.environ if environ is None else environ)
+        creds = dict(credentials or {})
+        dataset_flags: dict[str, DatasetFlags] = {}
+        raw_datasets = payload.get("datasets") or {}
+        for name in DATASETS:
+            item = raw_datasets.get(name) or {}
+            env_key = ENV_DATASET[name]
+            read = _truthy(env.get(f"DATAHUB_READ_{env_key}")) if f"DATAHUB_READ_{env_key}" in env else bool(item.get("read"))
+            shadow = (
+                _truthy(env.get(f"DATAHUB_SHADOW_{env_key}"))
+                if f"DATAHUB_SHADOW_{env_key}" in env
+                else bool(item.get("shadow"))
+            )
+            dataset_flags[name] = DatasetFlags(name, read=read, shadow=shadow)
+        token = str(
+            env.get("DATAHUB_TOKEN")
+            or creds.get("datahub_token")
+            or payload.get("token")
+            or ""
+        ).strip()
+        base_url = str(
+            env.get("DATAHUB_BASE_URL")
+            or creds.get("datahub_base_url")
+            or payload.get("base_url")
+            or "http://127.0.0.1:8766"
+        ).strip().rstrip("/")
+        return cls(
+            base_url=base_url,
+            token=token,
+            timeout_seconds=_int(env.get("DATAHUB_TIMEOUT") or payload.get("timeout_seconds"), 8),
+            retries=max(0, _int(env.get("DATAHUB_RETRIES") or payload.get("retries"), 1)),
+            page_limit=max(1, _int(payload.get("page_limit"), 5000)),
+            stale_seconds_max=max(0, _int(payload.get("stale_seconds_max"), 86400)),
+            datasets=dataset_flags,
+        )

backend/data/gateway.py

@@ -1,40 +1,71 @@
 from __future__ import annotations
 
-from collections.abc import Callable
 from dataclasses import dataclass
 from datetime import datetime
+from typing import Any
 
 from backend.data.contracts import DataUsage
+from backend.data.datahub import DatahubAwareTushareClient, DatahubBridge, DatahubClient, DatahubSettings
+from backend.data.datahub.ifind_proxy import HubIfindProxy
+from backend.data.datahub.realtime_proxy import HubRealtimeProxy
 from backend.data.policy import DataSourcePolicy
-from backend.data.providers import IfindProvider, TushareProvider
+from backend.data.providers import IfindProvider
 from backend.data.quality import DataQualityGate, QualityEvidence, QualityReport
-from backend.data.providers.ifind_client import IfindHttpClient
-from backend.data.providers.tushare_client import TushareClient
-from backend.data.realtime import WebRealtimeAggregator
-from backend.features.market.charts import EastmoneyChartClient, MarketChartClient
+from backend.features.market.charts import MarketChartClient
 
 
 @dataclass(frozen=True)
 class DataGateway:
     policy: DataSourcePolicy
     quality: DataQualityGate
-    tushare_provider: TushareProvider
     ifind_provider: IfindProvider
     chart_data: MarketChartClient
-    realtime_observer: WebRealtimeAggregator
+    realtime_observer: HubRealtimeProxy
+    datahub: DatahubBridge
 
     @property
-    def ifind(self) -> IfindHttpClient:
+    def ifind(self) -> HubIfindProxy:
         return self.ifind_provider.client
 
     def tushare(
         self,
         dataset_id: str = "",
         usage: DataUsage = "calculation",
-    ) -> TushareClient:
+    ) -> DatahubAwareTushareClient:
         if dataset_id:
             self.policy.assert_allowed(dataset_id, "tushare", usage)
-        return self.tushare_provider.client()
+        return DatahubAwareTushareClient(self.datahub)
+
+    def dataset_status(self, trade_date: str) -> list[dict[str, Any]] | None:
+        return self.datahub.dataset_status(trade_date)
+
+    def batches(self, trade_date: str, dataset: str = "") -> list[dict[str, Any]] | None:
+        return self.datahub.batches(trade_date, dataset)
+
+    def datahub_status(self) -> dict[str, Any]:
+        from backend.data.datahub.route_state import DATASET_LABELS, LEDGER
+        from backend.data.datahub.settings import DATASETS
+
+        settings = self.datahub.settings
+        flags = []
+        enabled = 0
+        for name in DATASETS:
+            read = bool(settings.flags(name).read)
+            if read:
+                enabled += 1
+            flags.append({"dataset": name, "label": DATASET_LABELS.get(name, name), "read": read})
+        routes = LEDGER.snapshot()
+        fallbacks = [item for item in routes if item.get("route") == "legacy"]
+        return {
+            "configured": bool(settings.token and settings.base_url),
+            "base_url": settings.base_url,
+            "enabled_reads": enabled,
+            "total_reads": len(DATASETS),
+            "flags": flags,
+            "routes": routes,
+            "fallback_count": len(fallbacks),
+            "fallback_labels": [str(item.get("label") or item.get("dataset")) for item in fallbacks],
+        }
 
     def assert_source(self, dataset_id: str, provider_id: str, usage: DataUsage) -> None:
         self.policy.assert_allowed(dataset_id, provider_id, usage)
@@ -63,21 +94,18 @@ class DataGateway:
 
 def build_data_gateway(
     credentials: dict[str, object],
-    tushare_token_supplier: Callable[[], str] | None = None,
+    datahub_settings: DatahubSettings | None = None,
 ) -> DataGateway:
-    ifind = IfindHttpClient(
-        str(credentials.get("ifind_refresh_token") or ""),
-        str(credentials.get("ifind_access_token") or ""),
-    )
-    token_supplier = tushare_token_supplier or (
-        lambda: str(credentials.get("tushare_token") or "")
-    )
     policy = DataSourcePolicy.load()
+    settings = datahub_settings or DatahubSettings.load(credentials=credentials)
+    datahub_client = DatahubClient(settings)
+    datahub = DatahubBridge(settings, datahub_client)
+    ifind = HubIfindProxy(datahub)
     return DataGateway(
         policy=policy,
         quality=DataQualityGate.load(policy),
-        tushare_provider=TushareProvider(token_supplier),
         ifind_provider=IfindProvider(ifind),
-        chart_data=MarketChartClient(ifind, EastmoneyChartClient()),
-        realtime_observer=WebRealtimeAggregator(),
+        chart_data=MarketChartClient(datahub),
+        realtime_observer=HubRealtimeProxy(datahub),
+        datahub=datahub,
     )

backend/data/providers/ifind.py

@@ -1,11 +1,13 @@
 from __future__ import annotations
 
-from backend.data.providers.ifind_client import IfindHttpClient
+from typing import Any
 
 
 class IfindProvider:
-    def __init__(self, client: IfindHttpClient) -> None:
+    def __init__(self, client: Any) -> None:
         self.client = client
 
     def set_credentials(self, refresh_token: str, access_token: str = "") -> None:
-        self.client.set_credentials(refresh_token, access_token)
+        setter = getattr(self.client, "set_credentials", None)
+        if callable(setter):
+            setter(refresh_token, access_token)

backend/data/providers/tushare_client.py

@@ -66,3 +66,5 @@ class TushareClient(
     _stock_listing_lock: ClassVar[Lock] = Lock()
     _suspension_cache: ClassVar[dict[str, dict[str, str] | None]] = {}
     _suspension_lock: ClassVar[Lock] = Lock()
+    _sw_member_cache: ClassVar[dict[str, Any]] = {}
+    _sw_member_lock: ClassVar[Lock] = Lock()

backend/data/providers/tushare_daily.py

@@ -3,7 +3,12 @@ from __future__ import annotations
 from typing import Any
 
 from backend.data.numbers import finite_number as _number
-from backend.data.providers.tushare_helpers import _display_time, _prices_equal
+from backend.data.providers.tushare_helpers import (
+    _display_time,
+    _optional_number,
+    _prices_equal,
+    calendar_is_open,
+)
 
 
 class DailyMarketMixin:
@@ -17,7 +22,11 @@ class DailyMarketMixin:
             trade_date = requested
         else:
             row = requested_rows[0]
-            trade_date = row["cal_date"] if row.get("is_open") == 1 else row.get("pretrade_date", requested)
+            trade_date = (
+                row["cal_date"]
+                if calendar_is_open(row.get("is_open"))
+                else row.get("pretrade_date", requested)
+            )
 
         resolved_rows = self.query(
             "trade_cal",
@@ -129,7 +138,66 @@ class DailyMarketMixin:
                 )
                 item["capital_trade_date"] = str(capital.get("trade_date") or "")
             result.append(item)
-        return result
+        return self._overlay_board_fields(result, trade_date)
+
+    def _overlay_board_fields(
+        self,
+        rows: list[dict[str, Any]],
+        trade_date: str,
+    ) -> list[dict[str, Any]]:
+        if not rows:
+            return rows
+        official = self._official_board_map(trade_date)
+        free = self._free_board_map(trade_date) if not official else {}
+        merged: list[dict[str, Any]] = []
+        for row in rows:
+            code = str(row.get("ts_code") or "")
+            extra = official.get(code) or free.get(code) or {}
+            if not extra:
+                merged.append(row)
+                continue
+            item = dict(row)
+            for key in (
+                "first_time",
+                "last_time",
+                "fd_amount",
+                "open_times",
+                "limit_times",
+                "turnover_ratio",
+            ):
+                incoming = extra.get(key)
+                current = item.get(key)
+                if incoming in (None, "", "--"):
+                    continue
+                if current in (None, "", "--", 0, 0.0):
+                    item[key] = incoming
+            merged.append(item)
+        return merged
+
+    def _official_board_map(self, trade_date: str) -> dict[str, dict[str, Any]]:
+        mapped: dict[str, dict[str, Any]] = {}
+        try:
+            for row in self._load_limit_lists(trade_date):
+                code = str(row.get("ts_code") or "")
+                if code:
+                    mapped[code] = row
+        except Exception:
+            return {}
+        return mapped
+
+    def _free_board_map(self, trade_date: str) -> dict[str, dict[str, Any]]:
+        loader = getattr(self, "try_limit_pool", None)
+        if not callable(loader):
+            return {}
+        try:
+            rows = loader(trade_date) or []
+        except Exception:
+            return {}
+        return {
+            str(row.get("ts_code") or ""): row
+            for row in rows
+            if row.get("ts_code")
+        }
 
     @staticmethod
     def _normalize_limit(row: dict[str, Any], status: str) -> dict[str, Any]:
@@ -154,7 +222,11 @@ class DailyMarketMixin:
             "turnover_source": row.get("turnover_source") or "provider",
             "capital_trade_date": row.get("capital_trade_date") or "",
             "amount_billion": round(amount_billion, 2),
-            "seal_amount_million": round(_number(row.get("fd_amount")) / 10000, 0),
+            "seal_amount_million": (
+                round(fd / 10000, 0)
+                if (fd := _optional_number(row.get("fd_amount"))) is not None
+                else None
+            ),
             "float_mv_billion": round(_number(row.get("float_mv")) / 100000000, 1),
             "status": status,
         }

backend/data/providers/tushare_dashboard.py

@@ -16,6 +16,12 @@ from backend.data.providers.tushare_transport import TushareError
 
 
 class DashboardMixin:
+    def _now(self) -> datetime:
+        clock = getattr(self, "clock", None)
+        if callable(clock):
+            return clock()
+        return datetime.now().astimezone()
+
     def dashboard(self, requested_date: str) -> dict[str, Any]:
         trade_date, previous_trade_date = self.resolve_trade_context(requested_date)
         if self.should_use_realtime(requested_date, trade_date):
@@ -26,11 +32,12 @@ class DashboardMixin:
             )
 
         daily = self._load_daily(trade_date)
+        now = self._now()
         if (
             not daily
-            and requested_date == datetime.now().astimezone().strftime("%Y%m%d")
+            and requested_date == now.strftime("%Y%m%d")
             and trade_date == requested_date
-            and datetime.now().astimezone().time().replace(tzinfo=None) >= dt_time(9, 15)
+            and now.time().replace(tzinfo=None) >= dt_time(9, 15)
         ):
             return self._realtime_dashboard(
                 requested_date,
@@ -41,13 +48,16 @@ class DashboardMixin:
             raise TushareError(f"No daily data returned for {trade_date}")
 
         notices: list[str] = []
+        limit_data_source = "official"
         try:
             limit_rows = self._load_limit_lists(trade_date)
             previous_limit_rows = self._load_limit_type(previous_trade_date, "U")
             if not limit_rows:
+                limit_data_source = "derived"
                 notices.append("涨跌停高级接口当日数据尚未更新，已使用日线数据推算。")
                 limit_rows = self._derive_limits(trade_date, daily)
         except TushareError as exc:
+            limit_data_source = "derived"
             notices.append(f"涨跌停高级接口不可用，已使用日线数据推算：{exc}")
             limit_rows = self._derive_limits(trade_date, daily)
             previous_daily = self._load_daily(previous_trade_date)
@@ -79,6 +89,7 @@ class DashboardMixin:
                 "trade_date": _display_date(trade_date),
                 "previous_trade_date": _display_date(previous_trade_date),
                 "source": "tushare",
+                "limit_data_source": limit_data_source,
                 "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
                 "notice": "；".join(notices),
             },
@@ -94,15 +105,14 @@ class DashboardMixin:
         }
         return apply_sentiment_to_dashboard(dashboard)
 
-    @staticmethod
-    def should_use_realtime(requested_date: str, trade_date: str) -> bool:
-        """Use rt_k for today's open market until end-of-day datasets settle."""
-        now = datetime.now().astimezone()
+    def should_use_realtime(self, requested_date: str, trade_date: str) -> bool:
+        """Use live quotes for today's open session until official daily settles."""
+        now = self._now()
         today = now.strftime("%Y%m%d")
         return (
             requested_date == today
             and trade_date == today
-            and dt_time(9, 15) <= now.time().replace(tzinfo=None) < dt_time(16, 30)
+            and dt_time(9, 15) <= now.time().replace(tzinfo=None) < dt_time(15, 5)
         )
 
     def _realtime_dashboard(
@@ -118,7 +128,7 @@ class DashboardMixin:
         )
         if not codes:
             raise TushareError("No active stock codes available for rt_k")
-        quotes = self.query("rt_k", {"ts_code": codes})
+        quotes, quote_source = self._load_realtime_quotes(codes, trade_date)
         if not quotes:
             raise TushareError(f"No realtime data returned for {trade_date}")
 
@@ -174,14 +184,35 @@ class DashboardMixin:
         )
         sectors = _build_sectors(limits)
         previous_sectors = _build_sectors(previous_limits)
-        now = datetime.now().astimezone()
+        now = self._now()
         market_status = _realtime_market_status(now.time().replace(tzinfo=None))
+        if quote_source == "datahub":
+            notice = (
+                "盘中行情由数据中枢统一提供；涨停原因、封板时间和开板次数以盘后榜单校正为准。"
+            )
+            source_name = "datahub"
+        elif quote_source == "eastmoney_clist":
+            notice = (
+                "盘中行情由东财免费实时快照计算；涨停原因、封板时间和开板次数以盘后榜单校正为准。"
+            )
+            source_name = "eastmoney"
+        elif quote_source == "tencent_qt":
+            notice = (
+                "盘中行情由腾讯免费实时行情计算；涨停原因、封板时间和开板次数以盘后榜单校正为准。"
+            )
+            source_name = "tencent"
+        else:
+            notice = (
+                "盘中行情由 Tushare rt_k 实时计算；涨停原因、封板时间和开板次数以盘后榜单校正为准。"
+            )
+            source_name = "tushare"
         dashboard = {
             "meta": {
                 "requested_date": _display_date(requested_date),
                 "trade_date": _display_date(trade_date),
                 "previous_trade_date": _display_date(previous_trade_date),
-                "source": "tushare",
+                "source": source_name,
+                "quote_source": quote_source,
                 "mode": "realtime",
                 "realtime": True,
                 "market_status": market_status,
@@ -189,7 +220,8 @@ class DashboardMixin:
                 "auto_refresh": False,
                 "quote_count": len(daily),
                 "updated_at": now.isoformat(timespec="seconds"),
-                "notice": "盘中行情由 Tushare rt_k 实时计算；涨停原因、封板时间和开板次数以盘后榜单校正为准。",
+                "notice": notice,
+                "indices": self._free_realtime_indices() if quote_source != "tushare_rt_k" else [],
             },
             "overview": _build_overview(daily, up_rows, down_rows, broken_rows),
             "limits": limits,
@@ -203,6 +235,62 @@ class DashboardMixin:
         }
         return apply_sentiment_to_dashboard(dashboard)
 
+    def _realtime_aggregator(self):
+        aggregator = getattr(self, "realtime_aggregator", None)
+        if aggregator is None:
+            raise TushareError("免费实时源未配置")
+        return aggregator
+
+    def _load_realtime_quotes(
+        self,
+        codes: str,
+        trade_date: str,
+    ) -> tuple[list[dict[str, Any]], str]:
+        hub = getattr(self, "try_market_quotes", None)
+        if callable(hub):
+            quotes = hub(trade_date)
+            if quotes:
+                return list(quotes), "datahub"
+        named = getattr(self, "try_quotes", None)
+        code_list = [item for item in str(codes or "").split(",") if item]
+        if callable(named) and code_list:
+            collected: list[dict[str, Any]] = []
+            for index in range(0, len(code_list), 60):
+                collected.extend(named(code_list[index:index + 60]) or [])
+            if collected:
+                delayed = any(item.get("delayed") for item in collected)
+                return collected, "datahub_delayed" if delayed else "datahub"
+        try:
+            quotes = self.query("rt_k", {"ts_code": codes})
+            if quotes:
+                delayed = any(item.get("delayed") for item in quotes)
+                return list(quotes), "datahub_delayed" if delayed else "datahub"
+        except TushareError as exc:
+            raise TushareError(f"当天盘中实时行情不可用：{exc}") from exc
+        raise TushareError("当天盘中实时行情不可用：数据中枢未返回可用行情")
+
+    def _mark_quote_legacy(self, source: str, error: str = "") -> None:
+        marker = getattr(self, "record_datahub_legacy", None)
+        if callable(marker):
+            marker("quotes", source, error)
+
+    def _free_realtime_quotes(
+        self,
+        trade_date: str,
+        codes: str = "",
+    ) -> tuple[list[dict[str, Any]], str]:
+        del trade_date, codes
+        raise TushareError("主网站不再直连免费行情源，请走数据中枢")
+
+    def _free_realtime_indices(self) -> list[dict[str, Any]]:
+        hub = getattr(self, "try_index_quotes", None)
+        if callable(hub):
+            rows = hub()
+            converted = [item for item in (_hub_index_quote(row) for row in rows or []) if item]
+            if converted:
+                return converted
+        return []
+
     def _load_realtime_reference(
         self,
         trade_date: str,
@@ -230,7 +318,7 @@ class DashboardMixin:
             {"trade_date": previous_trade_date},
             "ts_code,trade_date,total_share,float_share,free_share,total_mv,circ_mv",
         )
-        if not basic_rows or not price_limits:
+        if not basic_rows:
             raise TushareError(f"Realtime reference data is incomplete for {trade_date}")
         result = {
             "basic_rows": basic_rows,
@@ -250,10 +338,9 @@ class DashboardMixin:
         ts_code: str,
         reference_date: str = "",
     ) -> dict[str, Any]:
-        rows = self.query("rt_k", {"ts_code": ts_code})
-        if not rows:
+        row = self._realtime_quote_row(ts_code, reference_date)
+        if not row:
             raise TushareError(f"No realtime quote returned for {ts_code}")
-        row = rows[0]
         close = _number(row.get("close"))
         previous_close = _number(row.get("pre_close"))
         if close <= 0 or previous_close <= 0:
@@ -337,10 +424,24 @@ class DashboardMixin:
             "float_share_10k": float_share,
             "capital_trade_date": str(capital.get("trade_date") or ""),
             "turnover_source": "rt_volume/latest_float_share" if float_share else "unavailable",
-            "data_source": "tushare",
+            "data_source": str(row.get("source") or "tushare"),
             "realtime": True,
         }
 
+    def _realtime_quote_row(self, ts_code: str, reference_date: str = "") -> dict[str, Any]:
+        hub = getattr(self, "try_quotes", None)
+        if callable(hub):
+            rows = hub([ts_code]) or []
+            if rows:
+                return dict(rows[0])
+        try:
+            rows = self.query("rt_k", {"ts_code": ts_code})
+            if rows:
+                return dict(rows[0])
+        except TushareError:
+            pass
+        return {}
+
     def _stock_activity_metrics(
         self,
         ts_code: str,
@@ -458,7 +559,7 @@ class DashboardMixin:
             for row in reference.get("basic_rows") or []
             if row.get("ts_code")
         ]
-        quotes = self.query("rt_k", {"ts_code": ",".join(codes)}, "")
+        quotes, quote_source = self._load_realtime_quotes(",".join(codes), trade_date)
         rows = [
             row for row in quotes
             if _number(row.get("close")) > 0 and _number(row.get("pre_close")) > 0
@@ -604,6 +705,31 @@ def _build_yesterday_performance(
     return result
 
 
+def _hub_index_quote(row: dict[str, Any]) -> dict[str, Any] | None:
+    ts_code = str(row.get("ts_code") or "")
+    code = str(row.get("code") or ts_code.split(".")[0])
+    close = _number(row.get("price") if row.get("price") not in (None, "") else row.get("close"))
+    previous = _number(
+        row.get("previous_close") if row.get("previous_close") not in (None, "") else row.get("pre_close")
+    )
+    if close <= 0 or previous <= 0:
+        return None
+    amount = _number(row.get("amount"))
+    amount_billion = _number(row.get("amount_billion"))
+    if not amount_billion and amount:
+        amount_billion = round(amount / 100_000_000, 2)
+    return {
+        "code": code,
+        "name": str(row.get("name") or code),
+        "price": close,
+        "change": _number(row.get("pct_chg") if row.get("pct_chg") not in (None, "") else row.get("change")),
+        "previous_close": previous,
+        "amount_billion": amount_billion,
+        "quote_time": str(row.get("quote_time") or ""),
+        "source": "datahub",
+    }
+
+
 def _build_limit_performance(rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
     result = []
     for level in sorted({int(row.get("prior_streak") or 1) for row in rows}, reverse=True):

backend/data/providers/tushare_helpers.py

@@ -6,12 +6,72 @@ from typing import Any
 from backend.data.numbers import finite_number as _number
 
 
+def calendar_is_open(value: Any) -> bool:
+    if value in (True, 1, "1", "Y", "y"):
+        return True
+    if value in (False, 0, "0", "N", "n", None, ""):
+        return False
+    try:
+        return int(value) == 1
+    except (TypeError, ValueError):
+        return False
+
+
 def _text(value: Any) -> str:
     if isinstance(value, (list, tuple, set)):
         return "、".join(str(item).strip() for item in value if str(item).strip())
     return str(value or "").strip()
 
 
+def _optional_number(value: Any) -> float | None:
+    if value in (None, "", "-"):
+        return None
+    number = _number(value, default=float("nan"))
+    if number != number:
+        return None
+    return number
+
+
+def _moneyflow_payload(flow: dict[str, Any] | None) -> dict[str, Any]:
+    if not flow:
+        return {
+            "available": False,
+            "net_million": None,
+            "large_million": None,
+            "medium_million": None,
+            "small_million": None,
+        }
+    net = _optional_number(flow.get("net_mf_amount"))
+    buy_lg = _optional_number(flow.get("buy_lg_amount"))
+    sell_lg = _optional_number(flow.get("sell_lg_amount"))
+    buy_elg = _optional_number(flow.get("buy_elg_amount"))
+    sell_elg = _optional_number(flow.get("sell_elg_amount"))
+    buy_md = _optional_number(flow.get("buy_md_amount"))
+    sell_md = _optional_number(flow.get("sell_md_amount"))
+    buy_sm = _optional_number(flow.get("buy_sm_amount"))
+    sell_sm = _optional_number(flow.get("sell_sm_amount"))
+    large = None
+    if None not in (buy_lg, sell_lg, buy_elg, sell_elg):
+        large = (buy_lg + buy_elg - sell_lg - sell_elg)
+    elif _optional_number(flow.get("large_amount")) is not None:
+        large = _optional_number(flow.get("large_amount"))
+    medium = None if None in (buy_md, sell_md) else (buy_md - sell_md)
+    if medium is None:
+        medium = _optional_number(flow.get("medium_amount"))
+    small = None if None in (buy_sm, sell_sm) else (buy_sm - sell_sm)
+    if small is None:
+        small = _optional_number(flow.get("small_amount"))
+    if net is None and large is None and medium is None and small is None:
+        return _moneyflow_payload(None)
+    return {
+        "available": True,
+        "net_million": None if net is None else round(net / 100, 2),
+        "large_million": None if large is None else round(large / 100, 2),
+        "medium_million": None if medium is None else round(medium / 100, 2),
+        "small_million": None if small is None else round(small / 100, 2),
+    }
+
+
 def _prices_equal(left: Any, right: Any) -> bool:
     if left is None or right is None:
         return False

backend/data/providers/tushare_indices.py

@@ -59,6 +59,73 @@ class IndexMixin:
         }
 
     def realtime_market_indices(self, requested_date: str) -> dict[str, Any]:
+        hub = getattr(self, "try_index_quotes", None)
+        if callable(hub):
+            rows = hub()
+            if rows:
+                return self._hub_realtime_market_indices(requested_date, rows)
+        raise TushareError("Realtime index quotes are incomplete")
+
+    def _hub_realtime_market_indices(
+        self,
+        requested_date: str,
+        rows: list[dict[str, Any]],
+    ) -> dict[str, Any]:
+        trade_date, _ = self.resolve_trade_context(requested_date)
+        index_names = {
+            "000001.SH": "上证指数",
+            "399001.SZ": "深证成指",
+            "399006.SZ": "创业板指",
+        }
+        by_code = {str(row.get("ts_code") or ""): row for row in rows}
+        by_symbol = {str(row.get("code") or ""): row for row in rows}
+        indices = []
+        for ts_code, name in index_names.items():
+            row = by_code.get(ts_code) or by_symbol.get(ts_code.split(".")[0])
+            if not row:
+                continue
+            close = _number(row.get("price") if row.get("price") not in (None, "") else row.get("close"))
+            previous_close = _number(
+                row.get("previous_close") if row.get("previous_close") not in (None, "") else row.get("pre_close")
+            )
+            if close <= 0 or previous_close <= 0:
+                continue
+            amount = _number(row.get("amount"))
+            amount_billion = _number(row.get("amount_billion"))
+            if not amount_billion and amount:
+                amount_billion = round(amount / 100_000_000, 2)
+            indices.append(
+                {
+                    "ts_code": ts_code,
+                    "name": str(row.get("name") or name).strip(),
+                    "trade_date": trade_date,
+                    "close": close,
+                    "pct_chg": round(
+                        _number(row.get("pct_chg")) or (close / previous_close - 1) * 100,
+                        3,
+                    ),
+                    "return_5d": 0,
+                    "amount_billion": amount_billion,
+                    "quote_time": str(row.get("quote_time") or ""),
+                    "source": "datahub",
+                }
+            )
+        if len(indices) != 3:
+            raise TushareError("Realtime index quotes are incomplete")
+        return {
+            "trade_date": trade_date,
+            "source": "datahub",
+            "realtime": True,
+            "precise": True,
+            "indices": indices,
+            "aggregate": {
+                "average_pct_chg": round(sum(item["pct_chg"] for item in indices) / len(indices), 3),
+                "average_return_5d": 0,
+                "average_return_20d": 0,
+            },
+        }
+
+    def _tushare_realtime_market_indices(self, requested_date: str) -> dict[str, Any]:
         trade_date, _ = self.resolve_trade_context(requested_date)
         index_names = {
             "000001.SH": "上证指数",
@@ -116,3 +183,7 @@ class IndexMixin:
                 "average_return_20d": 0,
             },
         }
+
+    def _free_realtime_market_indices(self, requested_date: str) -> dict[str, Any]:
+        del requested_date
+        raise TushareError("主网站不再直连免费行情源，请走数据中枢")

backend/data/providers/tushare_industries.py

@@ -1,11 +1,16 @@
 from __future__ import annotations
 
+import json
 from datetime import datetime, timedelta
+from pathlib import Path
 from typing import Any
 
 from backend.data.numbers import finite_number as _number
 from backend.data.providers.tushare_transport import TushareError
 
+_SW_MEMBER_TTL = timedelta(hours=24)
+_SW_MEMBER_DIR = Path(__file__).resolve().parents[3] / "data" / "cache" / "sw_members"
+
 
 class ShenwanIndustryMixin:
     def sw_stock_industry(self, ts_code: str, trade_date: str) -> dict[str, Any]:
@@ -132,21 +137,63 @@ class ShenwanIndustryMixin:
         actual_trade_date = str(daily.get("trade_date") or "")
         outer_precise = actual_trade_date == trade_date
         outer_error = "" if outer_precise else (
-            f"No Shenwan daily returned for {sector_code} on {trade_date}"
+            f"申万行业 {sector_code} 当日盘后正式数据尚未入库"
         )
+        outer_source = "tushare_sw_daily" if outer_precise else "unavailable"
         if not outer_precise and allow_realtime_close:
-            try:
-                return self._sw_realtime_sector_snapshot(
-                    industry,
-                    members,
+            inner_ok = bool(member_rows) and not coverage_issue
+            if inner_ok:
+                sw_row, rt_source, rt_error = self._sw_outer_realtime(
+                    sector_code,
+                    str(industry.get("l2_name") or ""),
                     trade_date,
-                    previous_trade_date,
                     finalized=True,
                 )
-            except TushareError as exc:
-                outer_error = f"{outer_error}; realtime close fallback failed: {exc}"
+                if sw_row:
+                    daily = sw_row
+                    actual_trade_date = str(
+                        sw_row.get("quote_date") or sw_row.get("trade_date") or ""
+                    )
+                    trade_time = str(sw_row.get("trade_time") or sw_row.get("quote_time") or "")
+                    quote_clock = (
+                        trade_time[11:19]
+                        if len(trade_time) >= 19
+                        else str(sw_row.get("quote_clock") or "")
+                    )
+                    outer_precise = actual_trade_date == trade_date
+                    if quote_clock and quote_clock < "15:00:00":
+                        outer_precise = False
+                    outer_source = rt_source or "eastmoney_sw"
+                    outer_error = "" if outer_precise else (
+                        rt_error or f"申万行业 {sector_code} 免费实时尚未形成收盘快照"
+                    )
+                else:
+                    outer_error = rt_error or outer_error
+            else:
+                try:
+                    snapshot = self._sw_realtime_sector_snapshot(
+                        industry,
+                        members,
+                        trade_date,
+                        previous_trade_date,
+                        finalized=True,
+                    )
+                    snapshot.update({
+                        "raw_member_count": raw_member_count,
+                        "excluded_member_count": len(excluded_members),
+                        "excluded_members": excluded_members,
+                    })
+                    return snapshot
+                except TushareError:
+                    outer_error = f"{outer_error}; 免费实时成分暂不可用"
 
-        official_change = _number(daily.get("pct_change")) if outer_precise else None
+        official_change = None
+        if outer_precise:
+            official_change = _number(
+                daily.get("pct_change")
+                if daily.get("pct_change") not in (None, "")
+                else daily.get("change")
+            )
         return {
             "code": sector_code,
             "name": industry.get("l2_name") or daily.get("name") or sector_code,
@@ -173,9 +220,9 @@ class ShenwanIndustryMixin:
             "amount_billion": round(amount_billion, 2),
             "count": 0,
             "max_streak": 0,
-            "source": "tushare_sw_daily+member_daily" if outer_precise else "tushare_member_daily",
+            "source": f"{outer_source}+tushare_member_daily" if outer_precise else "tushare_member_daily",
             "inner_source": "tushare_member_daily",
-            "outer_source": "tushare_sw_daily" if outer_precise else "unavailable",
+            "outer_source": outer_source,
             "taxonomy": "sw_l2",
             "industry": industry,
             "trade_date": trade_date,
@@ -189,7 +236,7 @@ class ShenwanIndustryMixin:
             "inner_error": inner_error,
             "outer_error": outer_error,
             "schema_version": 6,
-            "methodology": "外显使用申万二级行业官方日线；内核独立使用当日成分日线宽度与等权涨跌聚合",
+            "methodology": "外显使用已发布 sw_daily 或免费申万实时；内核优先使用当日成分日线，不调用 rt_sw_k",
         }
 
     def _sw_sector_members(
@@ -197,23 +244,100 @@ class ShenwanIndustryMixin:
         sector_code: str,
         trade_date: str,
     ) -> list[dict[str, Any]]:
-        rows = []
-        for is_new in ("Y", "N"):
-            rows.extend(
-                self.query(
-                    "index_member_all",
-                    {"l2_code": sector_code, "is_new": is_new},
-                    "l2_code,l2_name,ts_code,name,in_date,out_date,is_new",
+        cached_rows = self._read_local_sw_members(sector_code)
+        if cached_rows is not None:
+            return _active_members(cached_rows, trade_date)
+        rows: list[dict[str, Any]] = []
+        try:
+            for is_new in ("Y", "N"):
+                rows.extend(
+                    self.query(
+                        "index_member_all",
+                        {"l2_code": sector_code, "is_new": is_new},
+                        "l2_code,l2_name,ts_code,name,in_date,out_date,is_new",
+                    )
                 )
+        except TushareError:
+            stale = self._read_local_sw_members(sector_code, allow_stale=True) or []
+            if stale:
+                return _active_members(stale, trade_date)
+            raise
+        reconciled = _reconcile_membership_rows(rows)
+        self._write_local_sw_members(sector_code, reconciled)
+        return _active_members(reconciled, trade_date)
+
+    def _read_local_sw_members(
+        self,
+        sector_code: str,
+        allow_stale: bool = False,
+    ) -> list[dict[str, Any]] | None:
+        now = datetime.now().astimezone()
+        cache = getattr(self, "_sw_member_cache", None)
+        lock = getattr(self, "_sw_member_lock", None)
+        if isinstance(cache, dict) and lock is not None:
+            with lock:
+                packed = cache.get(sector_code)
+            if isinstance(packed, dict):
+                loaded_at = packed.get("loaded_at")
+                rows = packed.get("rows")
+                fresh = (
+                    isinstance(loaded_at, datetime)
+                    and now - loaded_at < _SW_MEMBER_TTL
+                )
+                if isinstance(rows, list) and (fresh or allow_stale):
+                    return [dict(item) for item in rows]
+        path = _sw_member_path(sector_code)
+        if not path.exists():
+            return None
+        try:
+            payload = json.loads(path.read_text(encoding="utf-8"))
+        except (OSError, json.JSONDecodeError):
+            return None
+        rows = list(payload.get("rows") or [])
+        updated = str(payload.get("updated_at") or "")
+        fresh = False
+        try:
+            stamped = datetime.fromisoformat(updated)
+            if stamped.tzinfo is None:
+                stamped = stamped.replace(tzinfo=now.tzinfo)
+            fresh = now - stamped.astimezone(now.tzinfo) < _SW_MEMBER_TTL
+        except ValueError:
+            fresh = False
+        if rows and (fresh or allow_stale):
+            self._remember_sw_members(sector_code, rows)
+            return rows
+        return None
+
+    def _write_local_sw_members(self, sector_code: str, rows: list[dict[str, Any]]) -> None:
+        packed = [dict(item) for item in rows]
+        self._remember_sw_members(sector_code, packed)
+        path = _sw_member_path(sector_code)
+        try:
+            path.parent.mkdir(parents=True, exist_ok=True)
+            path.write_text(
+                json.dumps(
+                    {
+                        "sector_code": sector_code,
+                        "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
+                        "rows": packed,
+                    },
+                    ensure_ascii=False,
+                ),
+                encoding="utf-8",
             )
-        deduped: dict[str, dict[str, Any]] = {}
-        for row in _reconcile_membership_rows(rows):
-            code = str(row.get("ts_code") or "")
-            if code and _membership_active_on(row, trade_date):
-                current = deduped.get(code)
-                if current is None or str(row.get("in_date") or "") > str(current.get("in_date") or ""):
-                    deduped[code] = row
-        return list(deduped.values())
+        except OSError:
+            pass
+
+    def _remember_sw_members(self, sector_code: str, rows: list[dict[str, Any]]) -> None:
+        cache = getattr(self, "_sw_member_cache", None)
+        lock = getattr(self, "_sw_member_lock", None)
+        if not isinstance(cache, dict) or lock is None:
+            return
+        with lock:
+            cache[sector_code] = {
+                "loaded_at": datetime.now().astimezone(),
+                "rows": [dict(item) for item in rows],
+            }
 
     def sw_sector_members(self, sector_code: str, trade_date: str) -> list[dict[str, Any]]:
         """Return constituents active in a Shenwan L2 industry on the target date."""
@@ -311,37 +435,37 @@ class ShenwanIndustryMixin:
         finalized: bool = False,
     ) -> dict[str, Any]:
         sector_code = str(industry.get("l2_code") or "")
-        sw_rows = self.query(
-            "rt_sw_k",
-            {"ts_code": sector_code},
-            "ts_code,name,trade_time,close,pre_close,high,open,low,vol,amount,pct_change",
+        sw_row, outer_source, outer_error = self._sw_outer_realtime(
+            sector_code,
+            str(industry.get("l2_name") or ""),
+            trade_date,
+            finalized=finalized,
         )
-        sw_row = sw_rows[0] if sw_rows else {}
-        trade_time = str(sw_row.get("trade_time") or "")
-        quote_date = trade_time[:10].replace("-", "")
-        quote_clock = trade_time[11:19] if len(trade_time) >= 19 else ""
+        trade_time = str(sw_row.get("trade_time") or sw_row.get("quote_time") or "")
+        quote_date = str(sw_row.get("quote_date") or trade_time[:10].replace("-", ""))
+        quote_clock = trade_time[11:19] if len(trade_time) >= 19 else str(sw_row.get("quote_clock") or "")
         outer_precise = bool(sw_row and quote_date == trade_date)
-        if finalized and (not quote_clock or quote_clock < "15:00:00"):
+        if finalized and quote_clock and quote_clock < "15:00:00":
             outer_precise = False
-        official_change = _number(sw_row.get("pct_change"))
+        official_change = _number(sw_row.get("pct_change") if sw_row.get("pct_change") not in (None, "") else sw_row.get("change"))
         if not official_change:
-            close = _number(sw_row.get("close"))
-            pre_close = _number(sw_row.get("pre_close"))
+            close = _number(sw_row.get("close") if sw_row.get("close") not in (None, "") else sw_row.get("price"))
+            pre_close = _number(sw_row.get("pre_close") if sw_row.get("pre_close") not in (None, "") else sw_row.get("previous_close"))
             official_change = (close / pre_close - 1) * 100 if close and pre_close else 0
         if not outer_precise:
             official_change = None
-        outer_error = ""
-        if not sw_row:
-            outer_error = f"No Shenwan realtime index returned for {sector_code}"
-        elif quote_date != trade_date:
-            outer_error = f"Shenwan realtime index date is {quote_date or 'unknown'}, expected {trade_date}"
-        elif finalized and (not quote_clock or quote_clock < "15:00:00"):
-            outer_error = f"Shenwan realtime index is not a close snapshot ({trade_time})"
+        if not sw_row and not outer_error:
+            outer_error = f"申万行业 {sector_code} 当日外显待盘后正式数据或免费实时源"
+        elif quote_date and quote_date != trade_date:
+            outer_error = f"申万实时行业日期是 {quote_date}，期望 {trade_date}"
+        elif finalized and quote_clock and quote_clock < "15:00:00":
+            outer_error = f"申万行业尚未形成收盘快照（{trade_time}）"
 
         valid: list[dict[str, Any]] = []
         codes: list[str] = []
         reference: dict[str, Any] = {}
         inner_error = ""
+        inner_source = "unavailable"
         try:
             reference = self._load_realtime_reference(trade_date, previous_trade_date)
             active_codes = {
@@ -352,20 +476,27 @@ class ShenwanIndustryMixin:
             codes = [
                 str(row.get("ts_code") or "")
                 for row in members
-                if str(row.get("ts_code") or "") in active_codes
+                if str(row.get("ts_code") or "")
             ]
-            if codes:
-                quotes = self.query("rt_k", {"ts_code": ",".join(codes)}, "")
-                for row in quotes:
-                    close = _number(row.get("close"))
-                    previous_close = _number(row.get("pre_close"))
-                    if close <= 0 or previous_close <= 0:
-                        continue
-                    valid.append({**row, "change": (close / previous_close - 1) * 100})
-            else:
+            if active_codes:
+                listed = [code for code in codes if code in active_codes]
+                if listed:
+                    codes = listed
+            quotes, inner_source = self._load_member_realtime_quotes(codes, trade_date)
+            for row in quotes:
+                close = _number(row.get("close"))
+                previous_close = _number(row.get("pre_close"))
+                if close <= 0 or previous_close <= 0:
+                    continue
+                valid.append({**row, "change": (close / previous_close - 1) * 100})
+            if not codes:
                 inner_error = f"No active Shenwan members returned for {sector_code}"
+            elif not quotes:
+                inner_error = f"申万成分实时行情暂不可用：{sector_code}"
         except TushareError as exc:
             inner_error = str(exc)
+            if "rt_k" in inner_error or "权限" in inner_error:
+                inner_error = "申万成分实时行情暂不可用，已避开无权限接口"
 
         coverage = len(valid) / max(len(codes), 1) * 100
         valid_codes = {str(item.get("ts_code") or "") for item in valid}
@@ -390,16 +521,18 @@ class ShenwanIndustryMixin:
         }
         equal_change = sum(item["change"] for item in valid) / len(valid) if valid else 0
         amount_billion = sum(_number(item.get("amount")) for item in valid) / 100000000
+        market_rows: list[dict[str, Any]] = []
         try:
-            self._ensure_realtime_market_cache(trade_date)
-            with self._realtime_reference_lock:
-                market_rows = list(
-                    (self._latest_realtime_market.get(trade_date) or {}).get("rows") or []
-                )
+            market_rows = self._ensure_realtime_market_cache(trade_date)
         except TushareError as exc:
-            market_rows = []
-            inner_precise = False
-            inner_error = inner_error or str(exc)
+            message = str(exc)
+            if "rt_k" in message or "权限" in message:
+                market_error = "全市场实时行情暂不可用，已避开无权限接口"
+            else:
+                market_error = message
+            if not valid:
+                inner_precise = False
+                inner_error = inner_error or market_error
         capital_map = {
             str(item.get("ts_code") or ""): item
             for item in reference.get("capital_rows") or []
@@ -408,20 +541,28 @@ class ShenwanIndustryMixin:
         for item in valid:
             capital = capital_map.get(str(item.get("ts_code") or ""), {})
             float_share = _number(capital.get("float_share"))
-            if float_share:
-                sector_turnovers.append(_number(item.get("vol")) / float_share / 100)
+            volume = _number(item.get("vol"))
+            if float_share and volume:
+                # 免费源成交量为股；daily_basic.float_share 为万股。
+                sector_turnovers.append(volume / float_share / 100)
         market_turnovers = []
         for item in market_rows:
             capital = capital_map.get(str(item.get("ts_code") or ""), {})
             float_share = _number(capital.get("float_share"))
-            if float_share:
-                market_turnovers.append(_number(item.get("vol")) / float_share / 100)
+            volume = _number(item.get("vol"))
+            if float_share and volume:
+                market_turnovers.append(volume / float_share / 100)
         average_turnover = sum(sector_turnovers) / len(sector_turnovers) if sector_turnovers else 0
         market_turnover = sum(market_turnovers) / len(market_turnovers) if market_turnovers else 0
         relative_turnover = average_turnover / market_turnover if market_turnover else 0
-        if not relative_turnover:
-            inner_precise = False
-            inner_error = inner_error or "Shenwan member relative turnover is unavailable"
+        delayed = "delayed" in str(inner_source) or any(item.get("delayed") for item in valid)
+        delay_seconds = max((int(item.get("delay_seconds") or 0) for item in valid), default=0)
+        delay_notice = ""
+        if delayed:
+            delay_notice = next(
+                (str(item.get("delay_notice") or "") for item in valid if item.get("delay_notice")),
+                "",
+            ) or f"主备免费行情均暂不可用，显示最近一次真实快照（延迟 {delay_seconds} 秒）"
         return {
             "code": sector_code,
             "name": str(industry.get("l2_name") or sw_row.get("name") or ""),
@@ -447,9 +588,9 @@ class ShenwanIndustryMixin:
             "amount_billion": round(amount_billion, 2),
             "count": sum(item["change"] >= 9.5 for item in valid),
             "max_streak": 0,
-            "source": "tushare_rt_sw_k+sw_members_rt_k",
-            "inner_source": "tushare_sw_members+rt_k",
-            "outer_source": "tushare_rt_sw_k",
+            "source": f"{outer_source or 'unavailable'}+{inner_source}",
+            "inner_source": inner_source,
+            "outer_source": outer_source or "unavailable",
             "taxonomy": "sw_l2",
             "industry": industry,
             "trade_date": trade_date,
@@ -463,10 +604,96 @@ class ShenwanIndustryMixin:
             "precise": inner_precise and outer_precise,
             "inner_error": inner_error,
             "outer_error": outer_error,
+            "delayed": delayed,
+            "delay_seconds": delay_seconds,
+            "delay_notice": delay_notice,
             "schema_version": 6,
-            "methodology": "外显使用申万官方 rt_sw_k；内核独立使用申万成分 rt_k 宽度与相对换手聚合",
+            "methodology": "外显使用已发布 sw_daily 或免费申万实时；内核使用数据中枢/免费实时成分，不调用 rt_sw_k",
         }
 
+    def _sw_outer_realtime(
+        self,
+        sector_code: str,
+        sector_name: str,
+        trade_date: str,
+        finalized: bool = False,
+    ) -> tuple[dict[str, Any], str, str]:
+        hub = getattr(self, "try_sector_quote", None)
+        if callable(hub):
+            try:
+                row = hub(sector_code, "" if finalized else trade_date)
+            except Exception as exc:
+                message = str(exc)
+                if finalized:
+                    return {}, "", f"申万行业 {sector_code} 盘后正式数据待入库"
+                return {}, "", f"数据中枢申万实时暂不可用：{message[:180]}"
+            if row:
+                return dict(row), str(row.get("source") or "datahub"), ""
+        if finalized:
+            return {}, "", f"申万行业 {sector_code} 当日盘后正式数据尚未入库"
+        return {}, "", f"申万行业 {sector_code} 当日外显待补充"
+
+    def _load_member_realtime_quotes(
+        self,
+        codes: list[str],
+        trade_date: str,
+    ) -> tuple[list[dict[str, Any]], str]:
+        wanted = [str(code).strip() for code in codes if str(code or "").strip()]
+        if not wanted:
+            return [], "unavailable"
+        best_rows: list[dict[str, Any]] = []
+        best_source = "unavailable"
+
+        def consider(rows: list[dict[str, Any]] | None, source: str) -> list[dict[str, Any]]:
+            nonlocal best_rows, best_source
+            filtered = _filter_quotes_for_codes(rows, wanted)
+            if len(filtered) > len(best_rows):
+                best_rows = filtered
+                best_source = source
+            return filtered
+
+        hub_market = getattr(self, "try_market_quotes", None)
+        if callable(hub_market):
+            filtered = consider(hub_market(trade_date) or [], "datahub")
+            if len(filtered) >= max(1, int(len(wanted) * 0.9)):
+                delayed = any(item.get("delayed") for item in filtered)
+                return filtered, "datahub_delayed" if delayed else "datahub"
+
+        hub = getattr(self, "try_quotes", None)
+        if callable(hub):
+            collected: list[dict[str, Any]] = []
+            for index in range(0, len(wanted), _QUOTE_BATCH):
+                collected.extend(hub(wanted[index:index + _QUOTE_BATCH]) or [])
+            filtered = consider(collected, "datahub")
+            if len(filtered) >= max(1, int(len(wanted) * 0.9)):
+                delayed = any(item.get("delayed") for item in filtered)
+                return filtered, "datahub_delayed" if delayed else "datahub"
+
+        if best_rows:
+            delayed = any(item.get("delayed") for item in best_rows)
+            if delayed and not str(best_source).endswith("_delayed"):
+                return best_rows, f"{best_source}_delayed"
+            return best_rows, best_source
+        return [], "unavailable"
+
+
+_QUOTE_BATCH = 60
+
+
+def _filter_quotes_for_codes(
+    rows: list[dict[str, Any]] | None,
+    codes: list[str],
+) -> list[dict[str, Any]]:
+    wanted = {str(code) for code in codes if code}
+    filtered: list[dict[str, Any]] = []
+    seen: set[str] = set()
+    for row in rows or []:
+        ts_code = str(row.get("ts_code") or "")
+        if ts_code in wanted and ts_code not in seen:
+            seen.add(ts_code)
+            filtered.append(row)
+    return filtered
+
 
 def _filter_members_by_listing(
     members: list[dict[str, Any]],
@@ -568,6 +795,22 @@ def _reconcile_membership_rows(rows: list[dict[str, Any]]) -> list[dict[str, Any
     return list(reconciled.values())
 
 
+def _sw_member_path(sector_code: str) -> Path:
+    safe = "".join(ch if ch.isalnum() or ch in "._-" else "_" for ch in str(sector_code or ""))
+    return _SW_MEMBER_DIR / f"{safe or 'unknown'}.json"
+
+
+def _active_members(rows: list[dict[str, Any]], trade_date: str) -> list[dict[str, Any]]:
+    deduped: dict[str, dict[str, Any]] = {}
+    for row in rows:
+        code = str(row.get("ts_code") or "")
+        if code and _membership_active_on(row, trade_date):
+            current = deduped.get(code)
+            if current is None or str(row.get("in_date") or "") > str(current.get("in_date") or ""):
+                deduped[code] = dict(row)
+    return list(deduped.values())
+
+
 def _match_sector_row(rows: list[dict[str, Any]], identifier: str) -> dict[str, Any] | None:
     if not rows:
         return None

backend/data/providers/tushare_stocks.py

@@ -5,13 +5,14 @@ from typing import Any
 
 from backend.bootstrap.config import display_compact_date as _display_date
 from backend.data.numbers import finite_number as _number
+from backend.data.providers.tushare_helpers import _moneyflow_payload
 
 
 class StockMixin:
     def stock_detail(self, ts_code: str, requested_date: str) -> dict[str, Any]:
         trade_date, _ = self.resolve_trade_context(requested_date)
         end = datetime.strptime(trade_date, "%Y%m%d")
-        start_date = (end - timedelta(days=190)).strftime("%Y%m%d")
+        start_date = (end - timedelta(days=400)).strftime("%Y%m%d")
         daily = self.query(
             "daily",
             {"ts_code": ts_code, "start_date": start_date, "end_date": trade_date},
@@ -41,7 +42,7 @@ class StockMixin:
         factor_map = {row["trade_date"]: _number(row.get("adj_factor"), 1) for row in factors}
         latest_factor = max(factor_map.values(), default=1) or 1
         prices = []
-        for row in sorted(daily, key=lambda item: item.get("trade_date", ""))[-90:]:
+        for row in sorted(daily, key=lambda item: item.get("trade_date", ""))[-250:]:
             factor = factor_map.get(row.get("trade_date"), latest_factor)
             ratio = factor / latest_factor
             prices.append(
@@ -56,7 +57,7 @@ class StockMixin:
                     "amount_billion": round(_number(row.get("amount")) / 100000, 2),
                 }
             )
-        flow = moneyflow[0] if moneyflow else {}
+        flow = moneyflow[0] if moneyflow else None
         basic = basics[0] if basics else {}
         daily_basic = daily_basics[0] if daily_basics else {}
         latest = prices[-1] if prices else {}
@@ -87,22 +88,7 @@ class StockMixin:
                 "amount_billion": latest.get("amount_billion", 0),
             },
             "prices": prices,
-            "moneyflow": {
-                "net_million": round(_number(flow.get("net_mf_amount")) / 100, 2),
-                "large_million": round(
-                    (_number(flow.get("buy_lg_amount")) + _number(flow.get("buy_elg_amount"))
-                     - _number(flow.get("sell_lg_amount")) - _number(flow.get("sell_elg_amount"))) / 100,
-                    2,
-                ),
-                "medium_million": round(
-                    (_number(flow.get("buy_md_amount")) - _number(flow.get("sell_md_amount"))) / 100,
-                    2,
-                ),
-                "small_million": round(
-                    (_number(flow.get("buy_sm_amount")) - _number(flow.get("sell_sm_amount"))) / 100,
-                    2,
-                ),
-            },
+            "moneyflow": _moneyflow_payload(flow),
         }
 
     def stock_intraday(self, ts_code: str, requested_date: str) -> dict[str, Any]:

backend/data/providers/tushare_transport.py

@@ -20,6 +20,8 @@ class TushareTransportMixin:
         params: dict[str, Any] | None = None,
         fields: str = "",
     ) -> list[dict[str, Any]]:
+        if api_name == "rt_sw_k":
+            raise TushareError("rt_sw_k is disabled; use published sw_daily or free Shenwan realtime")
         payload = json.dumps(
             {
                 "api_name": api_name,

backend/data/realtime.py

@@ -19,8 +19,22 @@ class RealtimeAggregateError(RuntimeError):
 
 
 EASTMONEY_INDEX_URL = "https://push2.eastmoney.com/api/qt/ulist.np/get"
+EASTMONEY_STOCK_URL = "https://push2.eastmoney.com/api/qt/stock/get"
+EASTMONEY_STOCK_FIELDS = "f43,f44,f45,f46,f47,f48,f57,f58,f60,f86,f168,f62,f66,f72,f78,f84"
 EASTMONEY_SECTOR_URL = "https://push2.eastmoney.com/api/qt/clist/get"
+EASTMONEY_ZT_POOL_URL = "https://push2ex.eastmoney.com/getTopicZTPool"
+EASTMONEY_ZB_POOL_URL = "https://push2ex.eastmoney.com/getTopicZBPool"
+EASTMONEY_A_SHARE_BOARDS = (
+    "m:0+t:6",
+    "m:0+t:80",
+    "m:1+t:2",
+    "m:1+t:23",
+    "m:0+t:81",
+)
+EASTMONEY_QUOTE_FIELDS = "f12,f13,f14,f2,f3,f4,f5,f6,f15,f16,f17,f18,f8,f124"
+EASTMONEY_MARKET_PAGE_SIZE = 100
 TENCENT_INDEX_URL = "https://qt.gtimg.cn/q=sh000001,sz399001,sz399006"
+TENCENT_QUOTE_URL = "https://qt.gtimg.cn/q="
 THS_LIMIT_URL = "https://data.10jqka.com.cn/dataapi/limit_up/limit_up_pool"
 XGB_POOL_URL = "https://flash-api.xuangubao.cn/api/pool/detail"
 BROWSER_USER_AGENT = (
@@ -134,6 +148,312 @@ class WebRealtimeAggregator:
             raise RealtimeAggregateError(f"Eastmoney returned {len(result)}/3 indices")
         return result
 
+    def eastmoney_market_quotes(self, expected_date: str = "") -> list[dict[str, Any]]:
+        """Full A-share snapshot via Eastmoney clist, used when Tushare rt_k is unavailable."""
+        now = time.time()
+        cache_key = "assembled:eastmoney_market"
+        with self._response_cache_lock:
+            cached = self._response_cache.get(cache_key)
+        cache_age = now - float((cached or {}).get("created_at") or 0)
+        if cached and cache_age <= min(20, self.response_cache_ttl_seconds):
+            quotes = list(cached.get("payload") or [])
+            return self._filter_quotes_by_date(quotes, expected_date)
+
+        rows: list[dict[str, Any]] = []
+        board_errors: list[str] = []
+        for board in EASTMONEY_A_SHARE_BOARDS:
+            try:
+                rows.extend(self._eastmoney_board_quotes(board))
+            except Exception as exc:
+                board_errors.append(f"{board}:{exc}")
+        quotes = []
+        seen: set[str] = set()
+        for row in rows:
+            quote = _normalize_eastmoney_quote(row)
+            ts_code = str((quote or {}).get("ts_code") or "")
+            if not quote or ts_code in seen:
+                continue
+            seen.add(ts_code)
+            quotes.append(quote)
+        if len(quotes) < 200:
+            detail = f"；{'; '.join(board_errors)}" if board_errors else ""
+            raise RealtimeAggregateError(
+                f"Eastmoney market snapshot too small: {len(quotes)}{detail}"
+            )
+        quotes = self._filter_quotes_by_date(quotes, expected_date)
+        with self._response_cache_lock:
+            self._response_cache[cache_key] = {"created_at": now, "payload": quotes}
+        return quotes
+
+    def _eastmoney_board_quotes(self, board: str) -> list[dict[str, Any]]:
+        first = self._eastmoney_market_page(board, 1)
+        data = first.get("data") or {}
+        rows = _diff_rows(data)
+        total = int(_number(data.get("total")))
+        page_count = 1
+        if total > 0:
+            page_count = max(1, (total + EASTMONEY_MARKET_PAGE_SIZE - 1) // EASTMONEY_MARKET_PAGE_SIZE)
+        for page in range(2, min(page_count, 40) + 1):
+            payload = self._eastmoney_market_page(board, page)
+            rows.extend(_diff_rows(payload.get("data") or {}))
+        return rows
+
+    def _eastmoney_market_page(self, board: str, page: int) -> dict[str, Any]:
+        return self._get_json(
+            EASTMONEY_SECTOR_URL,
+            {
+                "pn": str(page),
+                "pz": str(EASTMONEY_MARKET_PAGE_SIZE),
+                "po": "1",
+                "np": "1",
+                "fltt": "2",
+                "invt": "2",
+                "fid": "f12",
+                "fs": board,
+                "fields": EASTMONEY_QUOTE_FIELDS,
+            },
+            referer="https://quote.eastmoney.com/center/gridlist.html",
+        )
+
+    def _filter_quotes_by_date(
+        self,
+        quotes: list[dict[str, Any]],
+        expected_date: str,
+    ) -> list[dict[str, Any]]:
+        want = str(expected_date or "").replace("-", "")
+        if not want or not quotes:
+            return quotes
+        dated = [item for item in quotes if str(item.get("quote_date") or "") == want]
+        if dated and len(dated) >= max(100, int(len(quotes) * 0.2)):
+            return dated
+        if dated:
+            return dated
+        if all(not item.get("quote_date") for item in quotes):
+            return quotes
+        raise RealtimeAggregateError(f"Eastmoney quotes are not for {want}")
+
+    def tencent_market_quotes(
+        self,
+        codes: list[str],
+        expected_date: str = "",
+    ) -> list[dict[str, Any]]:
+        quotes = self.tencent_stock_quotes(codes, expected_date="", minimum=200)
+        return self._filter_quotes_by_date(quotes, expected_date)
+
+    def tencent_stock_quotes(
+        self,
+        codes: list[str],
+        expected_date: str = "",
+        minimum: int | None = None,
+    ) -> list[dict[str, Any]]:
+        symbols: list[str] = []
+        seen: set[str] = set()
+        for raw in codes:
+            ts = str(raw or "").strip().upper()
+            if not ts:
+                continue
+            symbol = ts.split(".")[0]
+            if not symbol.isdigit() or len(symbol) != 6 or symbol in seen:
+                continue
+            seen.add(symbol)
+            if ts.endswith(".SH") or symbol.startswith(("5", "6", "9")):
+                symbols.append(f"sh{symbol}")
+            elif ts.endswith(".BJ") or symbol.startswith(("4", "8")):
+                symbols.append(f"bj{symbol}")
+            else:
+                symbols.append(f"sz{symbol}")
+        if not symbols:
+            raise RealtimeAggregateError("No stock codes available for Tencent quotes")
+
+        quotes: list[dict[str, Any]] = []
+        batch_size = 80
+
+        def load_batch(batch: list[str]) -> list[dict[str, Any]]:
+            raw, _cache_age = self._get_text(
+                f"{TENCENT_QUOTE_URL}{','.join(batch)}",
+                referer="https://gu.qq.com/",
+                encoding="gb18030",
+            )
+            return [
+                quote
+                for line in raw.splitlines()
+                if (quote := _parse_tencent_stock_quote(line))
+            ]
+
+        batches = [symbols[index:index + batch_size] for index in range(0, len(symbols), batch_size)]
+        errors: list[str] = []
+        with ThreadPoolExecutor(max_workers=4) as executor:
+            for result in executor.map(self._capture, [lambda batch=batch: load_batch(batch) for batch in batches]):
+                rows, status = result
+                if status.get("ok") and rows:
+                    quotes.extend(rows)
+                elif not status.get("ok"):
+                    errors.append(str(status.get("error") or "batch failed"))
+        floor = minimum if minimum is not None else max(1, int(len(symbols) * 0.5))
+        if len(quotes) < floor:
+            detail = f"；{'; '.join(errors[:3])}" if errors else ""
+            raise RealtimeAggregateError(
+                f"Tencent quotes too small: {len(quotes)}/{len(symbols)}{detail}"
+            )
+        return self._filter_quotes_by_date(quotes, expected_date)
+
+    def tencent_stock_quote(self, code: str, expected_date: str = "") -> dict[str, Any]:
+        symbol, _secid, ts_code = _a_share_identity(code)
+        raw, _cache_age = self._get_text(
+            f"{TENCENT_QUOTE_URL}{symbol}",
+            referer="https://gu.qq.com/",
+            encoding="gb18030",
+        )
+        quote = next(
+            (
+                item
+                for line in raw.splitlines()
+                if (item := _parse_tencent_stock_quote(line))
+            ),
+            None,
+        )
+        if not quote:
+            raise RealtimeAggregateError(f"Tencent stock quote unavailable for {ts_code}")
+        return _require_quote_date(quote, expected_date)
+
+    def eastmoney_stock_quote(self, code: str, expected_date: str = "") -> dict[str, Any]:
+        _symbol, secid, ts_code = _a_share_identity(code)
+        payload = self._get_json(
+            EASTMONEY_STOCK_URL,
+            {
+                "secid": secid,
+                "invt": "2",
+                "fltt": "2",
+                "fields": EASTMONEY_STOCK_FIELDS,
+            },
+            referer="https://quote.eastmoney.com/",
+        )
+        quote = _normalize_eastmoney_stock_quote(payload.get("data") or {}, ts_code)
+        if not quote:
+            raise RealtimeAggregateError(f"Eastmoney stock quote unavailable for {ts_code}")
+        return _require_quote_date(quote, expected_date)
+
+    def eastmoney_stock_quotes(
+        self,
+        codes: list[str],
+        expected_date: str = "",
+    ) -> list[dict[str, Any]]:
+        secids = []
+        for code in codes:
+            try:
+                _symbol, secid, _ts = _a_share_identity(code)
+            except RealtimeAggregateError:
+                continue
+            secids.append(secid)
+        quotes: list[dict[str, Any]] = []
+        for index in range(0, len(secids), 60):
+            payload = self._get_json(
+                EASTMONEY_INDEX_URL,
+                {
+                    "secids": ",".join(secids[index:index + 60]),
+                    "fltt": "2",
+                    "invt": "2",
+                    "fields": EASTMONEY_QUOTE_FIELDS,
+                },
+                referer="https://quote.eastmoney.com/",
+            )
+            for row in _diff_rows(payload.get("data") or {}):
+                quote = _normalize_eastmoney_quote(row)
+                if quote:
+                    quotes.append(quote)
+        return self._filter_quotes_by_date(quotes, expected_date)
+
+    def eastmoney_shenwan_quote(
+        self,
+        ts_code: str,
+        expected_date: str = "",
+    ) -> dict[str, Any]:
+        code = str(ts_code or "").split(".")[0]
+        if not code:
+            raise RealtimeAggregateError("Invalid Shenwan code")
+        payload = self._get_json(
+            EASTMONEY_INDEX_URL,
+            {
+                "secids": f"90.{code}",
+                "fltt": "2",
+                "invt": "2",
+                "fields": "f12,f14,f2,f3,f4,f15,f16,f17,f18,f6,f8,f104,f105,f128,f136,f140,f124",
+            },
+            referer="https://quote.eastmoney.com/",
+        )
+        row = next((item for item in _diff_rows(payload.get("data") or {}) if item), None)
+        if not row:
+            raise RealtimeAggregateError(f"Eastmoney Shenwan quote missing for {code}")
+        epoch = int(_number(row.get("f124")))
+        quote_time = (
+            datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
+            if epoch
+            else ""
+        )
+        close = _number(row.get("f2"))
+        previous = _number(row.get("f18"))
+        if close <= 0 or previous <= 0:
+            raise RealtimeAggregateError(f"Eastmoney Shenwan quote empty for {code}")
+        result = {
+            "ts_code": f"{code}.SI",
+            "code": f"{code}.SI",
+            "name": row.get("f14") or code,
+            "price": close,
+            "close": close,
+            "pre_close": previous,
+            "previous_close": previous,
+            "open": _number(row.get("f17")),
+            "high": _number(row.get("f15")),
+            "low": _number(row.get("f16")),
+            "change": _number(row.get("f3")),
+            "pct_change": _number(row.get("f3")),
+            "amount": _number(row.get("f6")),
+            "leader": row.get("f128") or "--",
+            "leader_code": row.get("f140") or "",
+            "leading_pct": _number(row.get("f136")),
+            "up_count": int(_number(row.get("f104"))),
+            "down_count": int(_number(row.get("f105"))),
+            "quote_time": quote_time,
+            "trade_time": quote_time,
+            "quote_date": datetime.fromtimestamp(epoch).astimezone().strftime("%Y%m%d") if epoch else "",
+            "quote_time_epoch": epoch,
+            "source": "eastmoney_sw",
+        }
+        return _require_quote_date(result, expected_date) if expected_date else result
+
+    def eastmoney_limit_pool(self, trade_date: str = "") -> list[dict[str, Any]]:
+        day = str(trade_date or "").replace("-", "")
+        rows: list[dict[str, Any]] = []
+        for url, limit_type in (
+            (EASTMONEY_ZT_POOL_URL, "U"),
+            (EASTMONEY_ZB_POOL_URL, "Z"),
+        ):
+            try:
+                payload = self._get_json(
+                    url,
+                    {
+                        "ut": "7eea3edcaed734bea9cbfc24409ed989",
+                        "dpt": "wz.ztzt",
+                        "PageIndex": "0",
+                        "PageSize": "200",
+                        "sort": "fbt:asc",
+                        "date": day,
+                    },
+                    referer="https://quote.eastmoney.com/ztb/detail",
+                )
+            except RealtimeAggregateError:
+                continue
+            pool = (payload.get("data") or {}).get("pool") or []
+            if isinstance(pool, dict):
+                pool = list(pool.values())
+            for item in pool:
+                if not isinstance(item, dict):
+                    continue
+                parsed = _normalize_eastmoney_limit_row(item, limit_type)
+                if parsed:
+                    rows.append(parsed)
+        return rows
+
     def tencent_indices(self) -> list[dict[str, Any]]:
         raw, cache_age = self._get_text(
             TENCENT_INDEX_URL,
@@ -185,11 +505,17 @@ class WebRealtimeAggregator:
         if not matched:
             raise RealtimeAggregateError(f"Eastmoney sector not found: {query}")
         epoch = int(_number(matched.get("f124")))
+        quote_time = (
+            datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
+            if epoch else ""
+        )
         return {
             "code": matched.get("f12") or "",
             "name": matched.get("f14") or query,
             "price": _number(matched.get("f2")),
+            "close": _number(matched.get("f2")),
             "change": _number(matched.get("f3")),
+            "pct_change": _number(matched.get("f3")),
             "change_amount": _number(matched.get("f4")),
             "turnover_rate": _number(matched.get("f8")),
             "up_count": int(_number(matched.get("f104"))),
@@ -198,10 +524,9 @@ class WebRealtimeAggregator:
             "leader_code": matched.get("f140") or "",
             "leading_pct": _number(matched.get("f136")),
             "quote_time_epoch": epoch,
-            "quote_time": (
-                datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
-                if epoch else ""
-            ),
+            "quote_time": quote_time,
+            "trade_time": quote_time,
+            "quote_date": datetime.fromtimestamp(epoch).astimezone().strftime("%Y%m%d") if epoch else "",
             "source": "eastmoney_push2",
             "match_query": query,
         }
@@ -397,6 +722,198 @@ class WebRealtimeAggregator:
         ) from last_error
 
 
+def _diff_rows(data: dict[str, Any]) -> list[dict[str, Any]]:
+    diff = data.get("diff") or []
+    if isinstance(diff, dict):
+        return [row for row in diff.values() if isinstance(row, dict)]
+    return [row for row in diff if isinstance(row, dict)]
+
+
+def _a_share_identity(code: str) -> tuple[str, str, str]:
+    raw = str(code or "").strip().upper()
+    symbol = raw.split(".")[0]
+    if not symbol.isdigit() or len(symbol) != 6:
+        raise RealtimeAggregateError("Invalid stock code")
+    if raw.endswith(".SH") or symbol.startswith(("5", "6", "9")):
+        return f"sh{symbol}", f"1.{symbol}", f"{symbol}.SH"
+    if raw.endswith(".BJ") or symbol.startswith(("4", "8")):
+        return f"bj{symbol}", f"0.{symbol}", f"{symbol}.BJ"
+    return f"sz{symbol}", f"0.{symbol}", f"{symbol}.SZ"
+
+
+def _require_quote_date(quote: dict[str, Any], expected_date: str) -> dict[str, Any]:
+    want = str(expected_date or "").replace("-", "")
+    got = str(quote.get("quote_date") or "")
+    if want and got != want:
+        raise RealtimeAggregateError(f"quote date {got or 'empty'} is not {want}")
+    return quote
+
+
+def _normalize_eastmoney_stock_quote(
+    row: dict[str, Any], ts_code: str
+) -> dict[str, Any] | None:
+    close = _number(row.get("f43"))
+    previous_close = _number(row.get("f60"))
+    if close <= 0 or previous_close <= 0:
+        return None
+    epoch = int(_number(row.get("f86")))
+    quote_date = ""
+    if epoch > 0:
+        quote_date = datetime.fromtimestamp(epoch).astimezone().strftime("%Y%m%d")
+    return {
+        "ts_code": ts_code,
+        "name": row.get("f58") or ts_code.split(".")[0],
+        "pre_close": previous_close,
+        "open": _number(row.get("f46")),
+        "high": _number(row.get("f44")),
+        "low": _number(row.get("f45")),
+        "close": close,
+        "vol": _number(row.get("f47")) * 100,
+        "amount": _number(row.get("f48")),
+        "num": 0,
+        "quote_date": quote_date,
+        "quote_time_epoch": epoch,
+        "turnover_rate": _number(row.get("f168")),
+        "net_mf_amount": _eastmoney_flow_wan(row.get("f62")),
+        "large_amount": _eastmoney_flow_wan(row.get("f62")),
+        "medium_amount": _eastmoney_flow_wan(row.get("f78")),
+        "small_amount": _eastmoney_flow_wan(row.get("f84")),
+        "source": "eastmoney_stock",
+    }
+
+
+def _parse_tencent_stock_quote(line: str) -> dict[str, Any] | None:
+    if '="' not in line:
+        return None
+    prefix, payload = line.split('="', 1)
+    fields = payload.rsplit('";', 1)[0].split("~")
+    if len(fields) < 38:
+        return None
+    symbol = fields[2]
+    if not symbol.isdigit() or len(symbol) != 6:
+        return None
+    close = _number(fields[3])
+    previous_close = _number(fields[4])
+    if close <= 0 or previous_close <= 0:
+        return None
+    marker = prefix.lower()
+    if "sh" in marker:
+        ts_code = f"{symbol}.SH"
+    elif "bj" in marker:
+        ts_code = f"{symbol}.BJ"
+    else:
+        ts_code = f"{symbol}.SZ"
+    try:
+        quote_time = datetime.strptime(fields[30], "%Y%m%d%H%M%S")
+        quote_date = quote_time.strftime("%Y%m%d")
+        epoch = int(quote_time.timestamp())
+    except ValueError:
+        quote_date = ""
+        epoch = 0
+    return {
+        "ts_code": ts_code,
+        "name": fields[1] or symbol,
+        "pre_close": previous_close,
+        "open": _number(fields[5]),
+        "high": _number(fields[33]),
+        "low": _number(fields[34]),
+        "close": close,
+        "vol": _number(fields[6]) * 100,
+        "amount": _number(fields[37]) * 10000,
+        "num": 0,
+        "quote_date": quote_date,
+        "quote_time_epoch": epoch,
+        "source": "tencent_qt",
+    }
+
+
+def _normalize_eastmoney_quote(row: dict[str, Any]) -> dict[str, Any] | None:
+    symbol = str(row.get("f12") or "").strip()
+    if not symbol.isdigit() or len(symbol) != 6:
+        return None
+    close = _number(row.get("f2"))
+    previous_close = _number(row.get("f18"))
+    if close <= 0 or previous_close <= 0:
+        return None
+    market = int(_number(row.get("f13")))
+    if market == 1 or symbol.startswith(("5", "6", "9")):
+        ts_code = f"{symbol}.SH"
+    elif symbol.startswith(("4", "8")):
+        ts_code = f"{symbol}.BJ"
+    else:
+        ts_code = f"{symbol}.SZ"
+    epoch = int(_number(row.get("f124")))
+    quote_date = ""
+    if epoch > 0:
+        quote_date = datetime.fromtimestamp(epoch).astimezone().strftime("%Y%m%d")
+    return {
+        "ts_code": ts_code,
+        "name": row.get("f14") or symbol,
+        "pre_close": previous_close,
+        "open": _number(row.get("f17")),
+        "high": _number(row.get("f15")),
+        "low": _number(row.get("f16")),
+        "close": close,
+        "vol": _number(row.get("f5")) * 100,
+        "amount": _number(row.get("f6")),
+        "num": 0,
+        "quote_date": quote_date,
+        "quote_time_epoch": epoch,
+        "source": "eastmoney_clist",
+    }
+
+
+def _eastmoney_flow_wan(value: Any) -> float | None:
+    if value in (None, "", "-"):
+        return None
+    amount = _number(value, default=float("nan"))
+    if amount != amount:
+        return None
+    return amount / 10000
+
+
+def _board_clock(value: Any) -> str:
+    digits = "".join(character for character in str(value or "") if character.isdigit())
+    if len(digits) >= 6:
+        return f"{digits[:2]}:{digits[2:4]}:{digits[4:6]}"
+    if len(digits) == 5:
+        digits = digits.zfill(6)
+        return f"{digits[:2]}:{digits[2:4]}:{digits[4:6]}"
+    if len(digits) == 4:
+        return f"{digits[:2]}:{digits[2:]}:00"
+    return ""
+
+
+def _normalize_eastmoney_limit_row(row: dict[str, Any], limit_type: str) -> dict[str, Any] | None:
+    symbol = str(row.get("c") or row.get("code") or "").strip()
+    if not symbol.isdigit() or len(symbol) != 6:
+        return None
+    market = int(_number(row.get("m") if row.get("m") not in (None, "") else row.get("market")))
+    if market == 1 or symbol.startswith(("5", "6", "9")):
+        ts_code = f"{symbol}.SH"
+    elif symbol.startswith(("4", "8")):
+        ts_code = f"{symbol}.BJ"
+    else:
+        ts_code = f"{symbol}.SZ"
+    first_time = _board_clock(row.get("fbt") if row.get("fbt") not in (None, "") else row.get("first_time"))
+    last_time = _board_clock(row.get("lbt") if row.get("lbt") not in (None, "") else row.get("last_time"))
+    fund = row.get("fund")
+    if fund in (None, ""):
+        fund = row.get("fd_amount")
+    return {
+        "ts_code": ts_code,
+        "name": row.get("n") or row.get("name") or symbol,
+        "limit_type": limit_type,
+        "first_time": first_time or None,
+        "last_time": last_time or None,
+        "open_times": int(_number(row.get("zbc") if row.get("zbc") not in (None, "") else row.get("open_times"))),
+        "limit_times": max(1, int(_number(row.get("lbc") if row.get("lbc") not in (None, "") else 1))),
+        "turnover_ratio": _number(row.get("hs") if row.get("hs") not in (None, "") else row.get("turnover_ratio")),
+        "fd_amount": _number(fund) if fund not in (None, "", "-") else None,
+        "source": "eastmoney_zt_pool",
+    }
+
+
 def _normalize_sector(value: Any) -> str:
     text = str(value or "").strip().replace(" ", "")
     for suffix in ("板块", "概念", "行业", "Ⅱ", "Ⅲ", "(A股)", "（A股）"):

backend/features/heaven/assets/heaven_knowledge.json

@@ -0,0 +1,117 @@
+{
+  "version": "2026.08.05-5",
+  "sources": {
+    "zhouyi": {
+      "title": "周易经文与十翼",
+      "scope": "卦辞、爻辞、彖传、象传",
+      "kind": "public_domain_primary",
+      "note": "观势与观心只引用本项目已校录的卦爻原文，不把现代网络释文当作原典。"
+    },
+    "jingfang": {
+      "title": "京氏易传",
+      "scope": "八宫与纳甲体系来源",
+      "kind": "public_domain_traditional",
+      "note": "确定性程序采用京房纳甲、八宫世应的通行排法。"
+    },
+    "huozhulin": {
+      "title": "火珠林",
+      "scope": "纳甲筮法、六亲与日月关系",
+      "kind": "public_domain_traditional",
+      "note": "用于观心规则脉络，不直接复制后世简化断语。"
+    },
+    "zengshan": {
+      "title": "增删卜易",
+      "scope": "用神、世应、动变、日月旺衰",
+      "kind": "public_domain_traditional",
+      "note": "只采用可明确编码且有一致输入条件的规则；争议规则单独标记。"
+    },
+    "neijing": {
+      "title": "黄帝内经·素问运气七篇",
+      "scope": "五运、司天在泉、主客气与运气关系",
+      "kind": "public_domain_primary",
+      "note": "观气将原典关系转成当日自我观察语言，不宣称对股价存在因果作用。"
+    }
+  },
+  "trend": {
+    "method": "本卦说明当下结构，实际动爻说明变化关节，之卦说明所趋结构；多动爻全部保留，不以固定口诀删去用户实际得到的爻。",
+    "rules": {
+      "stable": "无动爻时以本卦整体、上下卦关系和大象为主，说明结构的延续条件，不把静止等同于永远不变。",
+      "single": "一爻动时以该爻的时位、爻辞和象辞为变化核心，并用之卦检查变化后的结构。",
+      "multiple": "多爻动时逐一保留相关爻义，先找共同方向与冲突，再结合之卦给出有条件的倾向；不得用固定套话把不同动爻压成同一结论。"
+    }
+  },
+  "fortune": {
+    "principle": "先立中运与司天在泉的年纲，再察当前客气加临主气，最后以日辰说明当日触发；不使用产品权重推导传统结论。",
+    "movement": {
+      "太过": "太过表示该运之气偏于有余，解释时同时观察其本气表现与对所胜、所生关系的牵动，不直接等同于吉或凶。",
+      "不及": "不及表示该运之气偏于不足，解释时同时观察其所不胜来乘与所生受累的可能，不直接等同于弱势结论。"
+    },
+    "qi": {
+      "厥阴风木": "厥阴取风木之动，侧重疏泄、升发、变化与不定；偏盛时可表现为动摇、急变或升散不收。",
+      "少阴君火": "少阴取君火之明与热，侧重显化、温煦和内在驱动；偏盛时容易躁热，受制时则显而不畅。",
+      "太阴湿土": "太阴取湿土之濡与承载，侧重黏滞、蓄积和转化；偏盛时容易困重迟缓，得化时则能承接。",
+      "少阳相火": "少阳取相火之行与枢转，侧重外达、加速和往来；偏盛时容易浮越躁动，受阻时表现为枢机不利。",
+      "阳明燥金": "阳明取燥金之收与清肃，侧重收敛、裁决和边界；偏盛时容易干急严峻，得润时则清明有序。",
+      "太阳寒水": "太阳取寒水之藏与凝，侧重潜藏、收引和下行；偏盛时容易凝滞退缩，得温时则蓄势有根。"
+    },
+    "relations": {
+      "same": "客主同气表示同类气相并，重点看是否相得而彰，还是同气偏盛而亢；不能机械判为有利。",
+      "guest_generates_host": "客生主表示来气生助时令本气，气机较易衔接；仍需观察生助是否过度及年纲是否承接。",
+      "host_generates_guest": "主生客表示时令本气向来气流转，有相生也有外泄；不能只取相生而忽略主气受耗。",
+      "guest_controls_host": "客克主表示来气制约主气，传统称客胜为从；重点解释外来变化居上及原有节律受制。",
+      "host_controls_guest": "主克客表示主气制约来气，传统称主胜为逆；重点解释时令与来气相持而不把相克直接断凶。"
+    },
+    "day_trigger": "日辰只说明当日关系如何被触发，不与中运、司天在泉或主客气并列重复计权。",
+    "industry_boundary": "五行对应行业只作传统取象：可以说明本次已经出现的五行之气对相应行业形成的象征性关注、节奏或约束，但不得读取或猜测行业实时行情，不得预测涨跌，也不得把取象写成投资推荐。",
+    "personal_boundary": "personal.natal_day_master才是用户本命日主；today_relative_to_natal_day_master中的pillars是当日历法，stem_relations只是当日年、月、日三柱天干相对本命日主的确定性关系标签。只能使用本次检索到的关系释义，不得自行重算十神、扩展五行生克、使用藏干、库气或支的燥湿属性，也不得把当日日柱称为用户命局，或由这些字段推断命局中某一十神偏重、身强身弱或喜用神。",
+    "personal_relations": {
+      "比肩": "比肩作为当日天干关系标签，只提示用户可能更在意自主判断、同类比较或坚持原有立场；不能据此判断命局强弱或现实事件。",
+      "劫财": "劫财作为当日天干关系标签，只提示用户留意精力、注意力或可支配资源在同类事项间的分流与竞争感；不等同于破财或他人争夺。",
+      "食神": "食神作为当日天干关系标签，只提示用户留意表达、输出、舒缓与完成感；不等同于收益或确定的轻松结果。",
+      "伤官": "伤官作为当日天干关系标签，只提示用户留意质疑规则、急于表达或追求自主空间的倾向；不等同于冲突或违规。",
+      "偏财": "偏财作为当日天干关系标签，只提示用户留意机会分配、灵活取舍与非固定资源的吸引力；不等同于意外获利。",
+      "正财": "正财作为当日天干关系标签，只提示用户更关注可核对的结果、资源边界和务实落地；不等同于必得收益或现金变化。",
+      "七杀": "七杀作为当日天干关系标签，只提示用户留意紧迫感、外部压力和快速决断冲动；不等同于危险必然发生。",
+      "正官": "正官作为当日天干关系标签，只提示用户更在意规则、责任、秩序和可交付标准；不等同于结果必然受控。",
+      "偏印": "偏印作为当日天干关系标签，只提示用户留意内省、非惯常信息和反复推敲的倾向；不等同于退缩、失眠或方向错误。",
+      "正印": "正印作为当日天干关系标签，只提示用户更在意依据、支持、学习和安全边界；不等同于必然获得帮助。"
+    }
+  },
+  "heart": {
+    "presets": {
+      "trade": "关于我心中的这笔交易，此刻最需要看清的机会、阻碍与风险是什么？",
+      "mind": "此刻影响我交易判断的情绪、执念或盲点是什么？",
+      "unthemed": "不设具体问题，只观此刻一念。"
+    },
+    "focus": {
+      "trade": "以世爻、应爻、妻财爻及实际动变为主要检索对象，同时检查兄弟、官鬼和子孙的生克，不把任何单一六亲固定判吉凶。",
+      "mind": "以世爻和实际动爻为主，观察官鬼所示压力、子孙所示舒解及内外生克；不把心境问题强行翻译成价格方向。",
+      "unthemed": "不强选事项用神，以本卦、世爻、实际动爻和之卦作一般观照，不猜测用户没有提出的问题。",
+      "custom": "先依据用户明确写出的股票交易问题选择相关六亲；无法明确归类时退回世爻、动爻和卦变的一般解释，不擅自补全问题。"
+    },
+    "evidence_order": [
+      "用户问题与预设来源",
+      "本卦及卦宫",
+      "世应与所问相关六亲",
+      "月建日辰、旬空及冲合生克",
+      "实际动爻与变爻",
+      "之卦与整体卦义",
+      "六神辅助象义"
+    ],
+    "limits": "六神只作辅助象义；空亡、月破、日冲、合冲刑害均需结合用神、世应和动变，不得单项宣布结果。",
+    "semantics": {
+      "self_response": "世爻表示求测者当前立场与承受状态，应爻表示所问事项的外部一端或对照面。应爻不是固定的合作方、庄家或资金方；只有用户问题明确给出该角色时，才可作对应解释。",
+      "calendar": "月建与日辰用于判断爻在起卦时刻的承受、生扶和制约。旬空表示该爻所象征的条件当下可能未落实、难发挥或有名无实，但不能单凭旬空判失败，也不能用填实日期预测何时涨跌或行动。月破、日冲、六合、六冲、六害和相刑同样必须与世应、相关六亲及动变合看。",
+      "movement": "动爻说明关系正在变化；变爻说明变化后的承接方向。回头生、回头克和原变爻生克只描述力量关系，不自动对应现实中的借贷、融资、合作或某个具体人物。进神退神只说明同类地支变化的进退趋势，不直接宣布价格方向。",
+      "six_spirits": "六神只补充表达色彩，不单独定成败。青龙不必然有利，白虎不必然紧急或凶险，朱雀不必然等同口舌，玄武不必然等同欺骗，勾陈与螣蛇也不得脱离爻位、六亲和动变独断。",
+      "timing_boundary": "观心不作应期预测。可以说明某项条件在起卦时刻尚未落实或受制，但不得给出未来若干日、某干支日、出空或填实后必然发生什么。",
+      "relatives": {
+        "兄弟": "兄弟是与卦宫五行同类的关系。在股票交易问题中可作为竞争、同类力量或资源分流的候选象义，但不直接等同合作方、亏损或他人拿走资金。",
+        "子孙": "子孙是卦宫所生的关系，可作为舒缓、产出、执行后的释放或对压力的制衡候选象义，但不直接等同收益、资金提供方或确定的利好。",
+        "妻财": "妻财是卦宫所克的关系，在股票交易问题中可作为价值、收益预期、持仓利益或可支配资源的候选象义，但不直接等同现金、融资、自有资金或必得之财。",
+        "官鬼": "官鬼是克制卦宫的关系，可作为压力、风险、规则约束或担忧的候选象义，但不直接等同借贷、坏消息、疾病或必然损失。",
+        "父母": "父母是生助卦宫的关系，可作为信息、依据、计划、规则、凭据或保护条件的候选象义，但不直接等同政策、合同或某一条消息。"
+      }
+    }
+  }
+}

backend/features/heaven/http.py

@@ -3,15 +3,24 @@ from __future__ import annotations
 import json
 from http import HTTPStatus
 
+from backend.features.heaven.knowledge import HeavenKnowledgeError
+
 
 class HeavenHttpMixin:
+    def _send_heaven_client_error(self, exc: Exception) -> None:
+        payload: dict = {"error": str(exc)}
+        code = getattr(exc, "error_code", None)
+        if code:
+            payload["code"] = str(code)
+        self.send_json(payload, HTTPStatus.BAD_REQUEST)
+
     def heaven_hexagram(self) -> None:
         try:
             body = self.read_json_body()
             result = self.application_service.heaven_hexagram(body.get("lines"))
             self.send_json({"ok": True, "hexagram": result})
         except (ValueError, json.JSONDecodeError) as exc:
-            self.send_json({"error": str(exc)}, HTTPStatus.BAD_REQUEST)
+            self._send_heaven_client_error(exc)
 
     def heaven_personal(self) -> None:
         try:
@@ -19,12 +28,12 @@ class HeavenHttpMixin:
             result = self.application_service.heaven_personal(body)
             self.send_json({"ok": True, "personal": result})
         except (ValueError, json.JSONDecodeError) as exc:
-            self.send_json({"error": str(exc)}, HTTPStatus.BAD_REQUEST)
+            self._send_heaven_client_error(exc)
 
     def heaven_interpret(self) -> None:
         try:
             body = self.read_json_body()
             result = self.application_service.heaven_interpret(body)
             self.send_json({"ok": True, **result})
-        except (ValueError, json.JSONDecodeError) as exc:
-            self.send_json({"error": str(exc)}, HTTPStatus.BAD_REQUEST)
+        except (HeavenKnowledgeError, ValueError, json.JSONDecodeError) as exc:
+            self._send_heaven_client_error(exc)

backend/features/heaven/knowledge.py

@@ -2,12 +2,23 @@ from __future__ import annotations
 
 import json
 from functools import lru_cache
+from pathlib import Path
 from typing import Any
 
 from backend.bootstrap.config import APP_DIR
 
 
 KNOWLEDGE_FILE = APP_DIR / "data" / "heaven_knowledge.json"
+# Baked into the image outside the ./data bind mount so volume overlay cannot hide it.
+KNOWLEDGE_SEED_FILE = Path(__file__).resolve().parent / "assets" / "heaven_knowledge.json"
+
+
+class HeavenKnowledgeError(ValueError):
+    """Structured knowledge-file failure surfaced to HTTP as Chinese API errors."""
+
+    def __init__(self, message: str, *, code: str) -> None:
+        super().__init__(message)
+        self.error_code = code
 
 
 def prepare_heaven_context(mode: str, calculation: dict[str, Any]) -> dict[str, Any]:
@@ -379,9 +390,49 @@ def _line_record(line: dict[str, Any]) -> dict[str, Any]:
     }
 
 
+def resolve_heaven_knowledge_path() -> Path:
+    """Prefer the persisted data-dir file; fall back to the image-baked seed."""
+    if KNOWLEDGE_FILE.is_file():
+        return KNOWLEDGE_FILE
+    if KNOWLEDGE_SEED_FILE.is_file():
+        return KNOWLEDGE_SEED_FILE
+    raise HeavenKnowledgeError(
+        "问天知识文件缺失：未找到 heaven_knowledge.json。"
+        "请确认宿主机 data 目录或镜像内 seed 文件完整。",
+        code="heaven_knowledge_missing",
+    )
+
+
 @lru_cache(maxsize=1)
 def _knowledge_catalog() -> dict[str, Any]:
-    payload = json.loads(KNOWLEDGE_FILE.read_text(encoding="utf-8"))
+    path = resolve_heaven_knowledge_path()
+    try:
+        raw = path.read_text(encoding="utf-8")
+    except OSError as exc:
+        raise HeavenKnowledgeError(
+            f"问天知识文件无法读取（{path.name}）：{exc.strerror or exc}",
+            code="heaven_knowledge_missing",
+        ) from exc
+    try:
+        payload = json.loads(raw)
+    except json.JSONDecodeError as exc:
+        raise HeavenKnowledgeError(
+            f"问天知识文件 JSON 损坏（{path.name}），无法解析："
+            f"第 {exc.lineno} 行附近。",
+            code="heaven_knowledge_invalid",
+        ) from exc
+    if not isinstance(payload, dict):
+        raise HeavenKnowledgeError(
+            f"问天知识文件格式不正确（{path.name}）：根节点必须是对象。",
+            code="heaven_knowledge_invalid",
+        )
     if not payload.get("version") or not isinstance(payload.get("sources"), dict):
-        raise ValueError("问天知识库格式不完整。")
+        raise HeavenKnowledgeError(
+            f"问天知识库格式不完整（{path.name}）：缺少 version 或 sources。",
+            code="heaven_knowledge_invalid",
+        )
     return payload
+
+
+def clear_heaven_knowledge_cache() -> None:
+    _knowledge_catalog.cache_clear()

backend/features/heaven/market_context.py

@@ -283,9 +283,9 @@ class HeavenMarketContextMixin:
     ) -> dict[str, Any] | None:
         """Return the Shenwan L2 sector context for heaven trend.
 
-        观势行业层只使用申万二级行业。外显盘中使用 rt_sw_k、历史使用
-        sw_daily；内核独立使用目标日期成分股行情聚合。收盘过渡期在
-        sw_daily 入库前接受同日15:00后的 rt_sw_k 收盘快照。
+        观势行业层只使用申万二级行业。外显优先使用已发布的 sw_daily，
+        盘中及收盘过渡期使用免费申万实时行情；内核使用数据中枢或免费
+        实时成分行情。不再调用无权限的 rt_sw_k / rt_k。
         """
         cache_key = f"{trade_date}:{identifier.strip().lower()}"
         cached = self.database.get_data_snapshot("heaven_sector", cache_key)
@@ -299,6 +299,14 @@ class HeavenMarketContextMixin:
             and not cached.get("realtime")
             and int(cached.get("schema_version") or 0) >= 6
         )
+        cached_quotes = int((cached or {}).get("quote_count") or 0)
+        cached_lkg = bool(
+            cached
+            and cached_date == trade_date
+            and cached.get("taxonomy") == "sw_l2"
+            and cached_quotes > 0
+            and int(cached.get("schema_version") or 0) >= 6
+        )
         if market_mode != "intraday" and cached_valid:
             return cached
         if not self.configured:
@@ -311,8 +319,12 @@ class HeavenMarketContextMixin:
                 allow_realtime_close=market_mode == "closed",
             )
         except TushareError as exc:
-            if cached_valid:
-                return cached
+            if cached_lkg:
+                delayed = dict(cached)
+                delayed["delayed"] = True
+                delayed["delay_notice"] = "主备免费行情均暂不可用，显示最近一次真实快照"
+                delayed["realtime"] = market_mode == "intraday"
+                return delayed
             return {
                 "name": "",
                 "code": "",
@@ -323,12 +335,16 @@ class HeavenMarketContextMixin:
                 "precise": False,
                 "inner_precise": False,
                 "outer_precise": False,
-                "coverage": 0,
-                "member_count": 0,
-                "quote_count": 0,
                 "error": f"申万二级行业数据获取失败：{exc}",
             }
-        if not payload.get("realtime") and payload.get("precise"):
+        if int(payload.get("quote_count") or 0) > 0:
+            self.database.save_data_snapshot(
+                "heaven_sector",
+                cache_key,
+                str(payload.get("source") or "tushare"),
+                payload,
+            )
+        elif not payload.get("realtime") and payload.get("precise"):
             self.database.save_data_snapshot(
                 "heaven_sector",
                 cache_key,

backend/features/heaven/trend.py

@@ -243,6 +243,7 @@ class HeavenTrendMixin:
                 "detail": (
                     f"申万二级 {sector.get('name') or '--'} {sector.get('code') or '--'} "
                     f"成分覆盖 {int(sector.get('quote_count') or 0)}/{int(sector.get('member_count') or 0)}"
+                    + ("；延迟快照" if sector.get("delayed") or sector.get("delay_notice") else "")
                 ),
             },
             {
@@ -341,7 +342,9 @@ class HeavenTrendMixin:
             issues.append("行业外显缺少申万官方行情")
         if sector and sector_coverage_issue:
             issues.append(sector_coverage_issue)
-        if sector.get("realtime") and not sector.get("relative_turnover"):
+        if sector.get("delay_notice"):
+            issues.append(str(sector.get("delay_notice")))
+        if sector.get("realtime") and not sector.get("relative_turnover") and not sector.get("delayed"):
             issues.append("行业内核缺少相对全市场换手活跃度")
 
         stock = stock or {}

backend/features/market/backfill_history.py

@@ -0,0 +1,202 @@
+"""Auditable recent-trading-day snapshot backfill helpers.
+
+Planning and backup stay free of provider imports so feature boundary tests remain green.
+The service layer supplies open trading dates from the live calendar and executes sync.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+from datetime import date, datetime, timedelta
+from pathlib import Path
+from typing import Any, Iterable
+
+
+MAX_RANGE_TRADING_DAYS = 15
+MAX_RECENT_TRADING_DAYS = 60
+DEFAULT_RECENT_TRADING_DAYS = 60
+
+# Tables touched by a successful historical dashboard sync. User / token / model
+# tables must never appear here.
+SNAPSHOT_BACKFILL_WRITE_TABLES = frozenset(
+    {
+        "dashboard_snapshots",
+        "data_snapshots",
+        "sync_runs",
+    }
+)
+
+
+def clamp_recent_lookback(lookback: int) -> int:
+    value = int(lookback)
+    if value < 1:
+        raise ValueError("回补交易日数量至少为 1。")
+    if value > MAX_RECENT_TRADING_DAYS:
+        raise ValueError(f"单次最多回补最近 {MAX_RECENT_TRADING_DAYS} 个交易日。")
+    return value
+
+
+def calendar_window_start(end_date: str, lookback: int) -> str:
+    """Natural-day lower bound large enough to cover lookback open sessions."""
+    end = datetime.strptime(end_date, "%Y%m%d").date()
+    span = max(40, int(lookback * 2) + 20)
+    return (end - timedelta(days=span)).strftime("%Y%m%d")
+
+
+def select_open_trade_dates(
+    calendar_rows: Iterable[dict[str, Any]],
+    end_date: str,
+    lookback: int,
+) -> list[str]:
+    """Pick the last ``lookback`` open SSE sessions on or before ``end_date``."""
+    lookback = clamp_recent_lookback(lookback)
+    end = normalize_compact_date(end_date)
+    open_dates = sorted(
+        {
+            normalize_compact_date(str(row.get("cal_date") or ""))
+            for row in calendar_rows
+            if int(row.get("is_open") or 0) == 1 and row.get("cal_date")
+        }
+    )
+    open_dates = [item for item in open_dates if item <= end]
+    if not open_dates:
+        raise ValueError("交易日历未返回可用交易日，请检查行情 Token。")
+    return open_dates[-lookback:]
+
+
+def select_open_trade_dates_in_range(
+    calendar_rows: Iterable[dict[str, Any]],
+    start_date: str,
+    end_date: str,
+    *,
+    maximum: int = MAX_RANGE_TRADING_DAYS,
+) -> tuple[list[str], list[str]]:
+    """Return (open_dates, skipped_non_trading_days) inside an inclusive range."""
+    start = normalize_compact_date(start_date)
+    end = normalize_compact_date(end_date)
+    if start > end:
+        raise ValueError("开始日期不能晚于结束日期。")
+    open_set = {
+        normalize_compact_date(str(row.get("cal_date") or ""))
+        for row in calendar_rows
+        if int(row.get("is_open") or 0) == 1 and row.get("cal_date")
+    }
+    open_dates: list[str] = []
+    skipped: list[str] = []
+    cursor = datetime.strptime(start, "%Y%m%d").date()
+    last = datetime.strptime(end, "%Y%m%d").date()
+    while cursor <= last:
+        compact = cursor.strftime("%Y%m%d")
+        if compact in open_set:
+            open_dates.append(compact)
+        else:
+            skipped.append(compact)
+        cursor += timedelta(days=1)
+    if len(open_dates) > maximum:
+        raise ValueError(f"单次最多回补 {maximum} 个交易日。")
+    return open_dates, skipped
+
+
+def classify_snapshot_coverage(
+    trade_dates: list[str],
+    existing_dates: Iterable[str],
+) -> dict[str, Any]:
+    present_set = {
+        normalize_compact_date(item)
+        for item in existing_dates
+        if item
+    }
+    present = [item for item in trade_dates if item in present_set]
+    missing = [item for item in trade_dates if item not in present_set]
+    return {
+        "trade_dates": list(trade_dates),
+        "present": present,
+        "missing": missing,
+        "present_count": len(present),
+        "missing_count": len(missing),
+    }
+
+
+def create_sqlite_backup(
+    source_path: Path,
+    backup_dir: Path,
+    *,
+    label: str = "pre-backfill",
+    stamped_at: datetime | None = None,
+) -> Path:
+    """Create a timestamped SQLite backup via the native backup API."""
+    source = Path(source_path)
+    if not source.exists():
+        raise FileNotFoundError(f"数据库不存在：{source}")
+    stamp = (stamped_at or datetime.now().astimezone()).strftime("%Y%m%d-%H%M%S")
+    safe_label = "".join(ch if ch.isalnum() or ch in "-_" else "-" for ch in label).strip("-") or "backup"
+    backup_dir = Path(backup_dir)
+    backup_dir.mkdir(parents=True, exist_ok=True)
+    target = backup_dir / f"review-{safe_label}-{stamp}.db"
+    source_conn = sqlite3.connect(f"file:{source}?mode=ro", uri=True)
+    try:
+        target_conn = sqlite3.connect(target)
+        try:
+            source_conn.backup(target_conn)
+            target_conn.commit()
+        finally:
+            target_conn.close()
+    finally:
+        source_conn.close()
+    return target
+
+
+def display_date(compact: str) -> str:
+    value = normalize_compact_date(compact)
+    return f"{value[:4]}-{value[4:6]}-{value[6:8]}"
+
+
+def normalize_compact_date(value: str) -> str:
+    compact = str(value or "").replace("-", "").strip()
+    if len(compact) != 8 or not compact.isdigit():
+        raise ValueError("日期格式应为 YYYY-MM-DD。")
+    datetime.strptime(compact, "%Y%m%d")
+    return compact
+
+
+def build_backfill_audit(
+    *,
+    mode: str,
+    end_date: str,
+    lookback: int | None,
+    coverage: dict[str, Any],
+    skipped_non_trading_days: list[str] | None = None,
+    backup_path: str | None = None,
+    dry_run: bool = False,
+    results: list[dict[str, Any]] | None = None,
+) -> dict[str, Any]:
+    results = list(results or [])
+    succeeded = [row for row in results if row.get("status") == "success"]
+    skipped = [row for row in results if row.get("status") == "skipped"]
+    failed = [row for row in results if row.get("status") == "failed"]
+    return {
+        "ok": not failed,
+        "mode": mode,
+        "dry_run": dry_run,
+        "end_date": display_date(end_date),
+        "lookback": lookback,
+        "backup_path": backup_path,
+        "write_tables": sorted(SNAPSHOT_BACKFILL_WRITE_TABLES),
+        "trade_dates": [display_date(item) for item in coverage.get("trade_dates") or []],
+        "present": [display_date(item) for item in coverage.get("present") or []],
+        "missing": [display_date(item) for item in coverage.get("missing") or []],
+        "skipped_non_trading_days": [
+            display_date(item) for item in (skipped_non_trading_days or [])
+        ],
+        "present_count": int(coverage.get("present_count") or 0),
+        "missing_count": int(coverage.get("missing_count") or 0),
+        "results": results,
+        "succeeded_count": len(succeeded),
+        "skipped_count": len(skipped),
+        "failed_count": len(failed),
+        "created_dates": [
+            str(row.get("trade_date") or "")
+            for row in succeeded
+            if row.get("action") == "created"
+        ],
+    }

backend/features/market/charts.py

@@ -2,6 +2,7 @@ from __future__ import annotations
 
 import http.client
 import json
+import logging
 import re
 import time
 import urllib.error
@@ -13,14 +14,20 @@ from threading import Lock
 from typing import Any, ClassVar
 
 from backend.bootstrap.config import tushare_code as _stock_market_code
-from backend.data.providers.ifind_client import IfindError, IfindHttpClient
+from backend.data.providers.ifind_client import IfindError
+
+LOGGER = logging.getLogger("xiaobai.charts")
 
 
 class ChartDataError(RuntimeError):
     pass
 
 
+DAILY_CHART_LIMIT = 45
+
+
 TRENDS_URL = "https://push2delay.eastmoney.com/api/qt/stock/trends2/get"
+HIS_TRENDS_URL = "https://push2his.eastmoney.com/api/qt/stock/trends2/get"
 BOARD_LIST_URL = "https://push2delay.eastmoney.com/api/qt/clist/get"
 BROWSER_USER_AGENT = (
     "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
@@ -35,55 +42,186 @@ INDEX_SECIDS = {
 
 
 class MarketChartClient:
-    """Prefer iFinD for display charts and retain Eastmoney as a last resort."""
+    """Display charts are served by the data hub only."""
 
-    def __init__(self, ifind: IfindHttpClient, fallback: "EastmoneyChartClient") -> None:
-        self.ifind = ifind
-        self.fallback = fallback
+    def __init__(self, datahub: Any = None) -> None:
+        self.datahub = datahub
+        self.ifind = None
+        self.fallback = None
 
     def stock_intraday(self, code: str) -> dict[str, Any]:
         normalized = str(code or "").strip()
         if not re.fullmatch(r"\d{6}", normalized):
             raise ChartDataError("Invalid stock code")
-        ifind_code = _stock_market_code(normalized)
-        try:
-            return self._ifind_intraday(ifind_code, "stock", normalized)
-        except (IfindError, ChartDataError):
-            return self.fallback.stock_intraday(normalized)
+        hub_chart = self._datahub_intraday(normalized)
+        if hub_chart is not None:
+            return hub_chart
+        raise ChartDataError("分时图数据中枢暂不可用")
 
-    def stock_daily(self, code: str, end_date: str, limit: int = 90) -> list[dict[str, Any]]:
+    def stock_daily(self, code: str, end_date: str, limit: int = DAILY_CHART_LIMIT) -> list[dict[str, Any]]:
         normalized = str(code or "").strip()
         if not re.fullmatch(r"\d{6}", normalized):
             raise ChartDataError("Invalid stock code")
-        return self._ifind_daily(_stock_market_code(normalized), end_date, limit)
+        hub_rows = self._datahub_daily(normalized, end_date, limit, "daily")
+        if hub_rows:
+            return hub_rows
+        raise ChartDataError("日K数据中枢暂不可用")
 
-    def index_daily(self, identifier: str, end_date: str, limit: int = 90) -> list[dict[str, Any]]:
+    def index_daily(self, identifier: str, end_date: str, limit: int = DAILY_CHART_LIMIT) -> list[dict[str, Any]]:
         normalized = str(identifier or "").strip().upper()
         if normalized not in INDEX_SECIDS:
             raise ChartDataError("Unsupported index")
-        return self._ifind_daily(normalized, end_date, limit)
+        hub_rows = self._datahub_daily(normalized, end_date, limit, "index_daily")
+        if hub_rows:
+            return hub_rows
+        raise ChartDataError("指数日K数据中枢暂不可用")
 
     def board_daily(self, identifier: str, end_date: str, limit: int = 90) -> list[dict[str, Any]]:
         normalized = str(identifier or "").strip().upper()
         if not normalized:
             raise ChartDataError("Invalid board code")
-        return self._ifind_daily(normalized, end_date, limit)
+        hub_rows = self._datahub_daily(normalized, end_date, limit, "sector_daily")
+        if hub_rows:
+            return hub_rows
+        raise ChartDataError("板块日K数据中枢暂不可用")
 
     def index_intraday(self, identifier: str) -> dict[str, Any]:
         normalized = str(identifier or "").strip().upper()
         if normalized not in INDEX_SECIDS:
             raise ChartDataError("Unsupported index")
+        hub_chart = self._datahub_intraday(normalized)
+        if hub_chart is not None:
+            return hub_chart
+        raise ChartDataError("指数分时数据中枢暂不可用")
+
+    def _datahub_intraday(self, code: str) -> dict[str, Any] | None:
+        if self.datahub is None:
+            return None
         try:
-            return self._ifind_intraday(normalized, "index", normalized)
-        except (IfindError, ChartDataError):
-            return self.fallback.index_intraday(normalized)
+            chart = self.datahub.try_intraday(code)
+        except Exception as exc:
+            LOGGER.warning("datahub intraday unexpected error: %s", exc)
+            return None
+        if not chart:
+            return None
+        points = list(chart.get("points") or [])
+        if not points:
+            return None
+        return chart
+
+    def _datahub_daily(
+        self,
+        code: str,
+        end_date: str,
+        limit: int,
+        dataset: str,
+    ) -> list[dict[str, Any]] | None:
+        if self.datahub is None or not hasattr(self.datahub, "try_daily_chart"):
+            return None
+        try:
+            rows = self.datahub.try_daily_chart(code, end_date, limit, dataset)
+        except Exception as exc:
+            LOGGER.warning("datahub daily unexpected error: %s", exc)
+            rows = None
+        if not rows:
+            return None
+        compact_end = str(end_date or "").replace("-", "")
+        market_now = datetime.now().astimezone()
+        today = market_now.strftime("%Y%m%d")
+        market_open = (
+            market_now.weekday() < 5
+            and market_now.time().replace(tzinfo=None) >= dt_time(9, 30)
+        )
+        if compact_end == today and market_open:
+            overlay = self._datahub_today_bar(code, dataset, rows)
+            if overlay:
+                if rows and rows[-1]["trade_date"] == overlay["trade_date"]:
+                    rows[-1] = overlay
+                else:
+                    rows.append(overlay)
+        return rows
+
+    def _datahub_today_bar(
+        self,
+        code: str,
+        dataset: str,
+        history: list[dict[str, Any]],
+    ) -> dict[str, Any] | None:
+        today_display = datetime.now().astimezone().date().isoformat()
+        previous = history[-1]["close"] if history and history[-1]["trade_date"] != today_display else (
+            history[-2]["close"] if len(history) >= 2 else 0.0
+        )
+        quote = None
+        if dataset == "index_daily" and hasattr(self.datahub, "try_index_quotes"):
+            quotes = self.datahub.try_index_quotes() or []
+            quote = next(
+                (
+                    item for item in quotes
+                    if str(item.get("ts_code") or "") == code or str(item.get("code") or "") == code.split(".")[0]
+                ),
+                None,
+            )
+        elif hasattr(self.datahub, "try_quotes"):
+            quotes = self.datahub.try_quotes([code]) or []
+            quote = quotes[0] if quotes else None
+        if quote:
+            close = _number(quote.get("close") if quote.get("close") not in (None, "") else quote.get("price"))
+            open_price = _number(quote.get("open"))
+            high = _number(quote.get("high"))
+            low = _number(quote.get("low"))
+            previous_close = _number(
+                quote.get("pre_close") if quote.get("pre_close") not in (None, "") else quote.get("previous_close")
+            ) or previous
+            volume = _number(quote.get("vol") if quote.get("vol") not in (None, "") else quote.get("volume"))
+            amount = _number(quote.get("amount"))
+            if close > 0 and open_price > 0:
+                return {
+                    "trade_date": today_display,
+                    "open": open_price,
+                    "high": high or close,
+                    "low": low or close,
+                    "close": close,
+                    "change": round((close / previous_close - 1) * 100, 4) if previous_close else 0.0,
+                    "volume": volume,
+                    "amount_billion": amount / 100_000_000,
+                    "realtime": True,
+                }
+        chart = self._datahub_intraday(code)
+        points = list((chart or {}).get("points") or [])
+        if not points:
+            return None
+        closes = [_number(point.get("close")) for point in points if _number(point.get("close")) > 0]
+        if not closes:
+            return None
+        opens = [_number(point.get("open")) for point in points if _number(point.get("open")) > 0]
+        highs = [_number(point.get("high")) for point in points if _number(point.get("high")) > 0]
+        lows = [_number(point.get("low")) for point in points if _number(point.get("low")) > 0]
+        volume = sum(_number(point.get("volume")) for point in points)
+        amount = sum(_number(point.get("amount")) for point in points)
+        previous_close = _number((chart or {}).get("previous_close")) or previous
+        close = closes[-1]
+        open_price = opens[0] if opens else closes[0]
+        return {
+            "trade_date": today_display,
+            "open": open_price,
+            "high": max(highs or closes),
+            "low": min(lows or closes),
+            "close": close,
+            "change": round((close / previous_close - 1) * 100, 4) if previous_close else 0.0,
+            "volume": volume,
+            "amount_billion": amount / 100_000_000,
+            "realtime": True,
+        }
 
     def board_intraday(self, identifier: str, name: str = "") -> dict[str, Any]:
         normalized = str(identifier or "").strip().upper()
-        try:
-            return self._ifind_intraday(normalized, "board", normalized, name)
-        except (IfindError, ChartDataError):
-            return self.fallback.board_intraday(normalized, name)
+        hub_chart = self._datahub_intraday(normalized)
+        if hub_chart is not None:
+            if name:
+                hub_chart = dict(hub_chart)
+                hub_chart["name"] = name
+            return hub_chart
+        raise ChartDataError("板块分时数据中枢暂不可用")
 
     def _ifind_intraday(
         self,
@@ -92,7 +230,7 @@ class MarketChartClient:
         identifier: str,
         name: str = "",
     ) -> dict[str, Any]:
-        if not self.ifind.configured:
+        if not self.ifind or not self.ifind.configured:
             raise ChartDataError("iFinD is not configured")
         now = datetime.now().astimezone()
         rows: list[dict[str, Any]] = []
@@ -129,7 +267,7 @@ class MarketChartClient:
     def _ifind_daily(
         self, ifind_code: str, end_date: str, limit: int
     ) -> list[dict[str, Any]]:
-        if not self.ifind.configured:
+        if not self.ifind or not self.ifind.configured:
             raise ChartDataError("iFinD is not configured")
         compact_end = str(end_date or "").replace("-", "")
         if not re.fullmatch(r"\d{8}", compact_end):
@@ -231,9 +369,11 @@ class MarketChartClient:
                 pass
         if not normalized:
             raise ChartDataError("No iFinD daily chart data returned")
-        return normalized[-max(20, min(180, int(limit))):]
+        return normalized[-max(1, int(limit)):]
 
     def _previous_close(self, code: str, trade_date: str, fallback: float) -> float:
+        if not self.ifind:
+            return fallback
         today = datetime.now().astimezone().date().isoformat()
         if trade_date == today:
             try:
@@ -305,21 +445,29 @@ class EastmoneyChartClient:
         if cached is not None:
             return cached
 
-        payload = self._request_json(
-            TRENDS_URL,
-            {
-                "secid": secid,
-                "fields1": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13",
-                "fields2": "f51,f52,f53,f54,f55,f56,f57,f58",
-                "iscr": "0",
-                "ndays": "1",
-            },
-            "https://quote.eastmoney.com/",
-        )
-        data = payload.get("data") or {}
-        points = [point for raw in data.get("trends") or [] if (point := _parse_trend(raw))]
+        params = {
+            "secid": secid,
+            "fields1": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13",
+            "fields2": "f51,f52,f53,f54,f55,f56,f57,f58",
+            "iscr": "0",
+        }
+        last_error: Exception | None = None
+        data: dict[str, Any] = {}
+        points: list[dict[str, Any]] = []
+        for url, ndays in ((TRENDS_URL, "1"), (TRENDS_URL, "5"), (HIS_TRENDS_URL, "5")):
+            request_params = {**params, "ndays": ndays}
+            try:
+                payload = self._request_json(url, request_params, "https://quote.eastmoney.com/")
+            except ChartDataError as exc:
+                last_error = exc
+                continue
+            data = payload.get("data") or {}
+            parsed = [point for raw in data.get("trends") or [] if (point := _parse_trend(raw))]
+            points = _latest_session(parsed)
+            if points:
+                break
         if not points:
-            raise ChartDataError("No intraday chart data returned")
+            raise ChartDataError("No intraday chart data returned") from last_error
 
         result = {
             "entity_type": entity_type,
@@ -433,6 +581,15 @@ class EastmoneyChartClient:
         raise ChartDataError("Intraday chart request failed") from last_error
 
 
+def _latest_session(points: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    if not points:
+        return []
+    latest = max(str(point.get("date") or "") for point in points)
+    if not latest:
+        return points
+    return [point for point in points if str(point.get("date") or "") == latest]
+
+
 def _parse_trend(raw: Any) -> dict[str, Any] | None:
     fields = str(raw or "").split(",")
     if len(fields) < 8 or " " not in fields[0]:

backend/features/market/repository.py

@@ -227,6 +227,31 @@ class MarketRepositoryMixin:
             result.append(payload)
         return result
 
+    def list_snapshot_trade_dates(
+        self,
+        start_date: str = "",
+        end_date: str = "",
+    ) -> list[str]:
+        clauses: list[str] = []
+        parameters: list[Any] = []
+        if start_date:
+            clauses.append("trade_date >= ?")
+            parameters.append(start_date)
+        if end_date:
+            clauses.append("trade_date <= ?")
+            parameters.append(end_date)
+        where = f"WHERE {' AND '.join(clauses)}" if clauses else ""
+        with self.connect() as connection:
+            rows = connection.execute(
+                f"""
+                SELECT trade_date FROM dashboard_snapshots
+                {where}
+                ORDER BY trade_date
+                """,
+                parameters,
+            ).fetchall()
+        return [str(row["trade_date"]) for row in rows]
+
     def start_sync(self, trade_date: str, source: str) -> int:
         started_at = datetime.now().astimezone().isoformat(timespec="seconds")
         with self.connect() as connection:

backend/features/market/service.py

@@ -3,17 +3,32 @@ from __future__ import annotations
 import copy
 import re
 from datetime import date, datetime, time as dt_time, timedelta
+from pathlib import Path
 from typing import Any
 
 from backend.bootstrap.config import (
+    DATA_DIR,
     normalize_date,
     tushare_code,
     validate_stock_code,
     validate_text,
 )
 from backend.data.providers.ifind_client import IfindError
-from backend.data.providers.tushare_client import TushareClient, TushareError
-from backend.features.market.charts import ChartDataError
+from backend.data.providers.tushare_client import TushareError
+from backend.data.providers.tushare_helpers import _moneyflow_payload, _optional_number
+from backend.data.realtime import RealtimeAggregateError
+from backend.features.market.backfill_history import (
+    DEFAULT_RECENT_TRADING_DAYS,
+    MAX_RANGE_TRADING_DAYS,
+    build_backfill_audit,
+    calendar_window_start,
+    classify_snapshot_coverage,
+    create_sqlite_backup,
+    display_date,
+    select_open_trade_dates,
+    select_open_trade_dates_in_range,
+)
+from backend.features.market.charts import ChartDataError, DAILY_CHART_LIMIT
 from backend.features.market.insights import MarketInsightsService
 from backend.features.sentiment.engine import SENTIMENT_ENGINE_VERSION
 
@@ -29,6 +44,7 @@ SEARCH_TYPE_LABELS = {
     "theme": "题材",
     "index": "指数",
 }
+TODAY_DAILY_UNAVAILABLE_NOTICE = "今日日K暂不可用，仍显示最近收盘K线。"
 THS_SEARCH_TYPES = {
     "I": ("sector", "行业板块"),
     "R": ("sector", "地域板块"),
@@ -45,16 +61,40 @@ class MarketServiceMixin:
             self._tushare_client(),
             ifind=self.ifind,
         )
-    def _tushare_client(self) -> TushareClient:
+    def _tushare_client(self) -> Any:
+        override = getattr(self, "_market_client_override", None)
+        if override is not None:
+            return override
         gateway = getattr(self, "data_gateway", None)
-        if gateway is not None:
-            return gateway.tushare()
-        # Compatibility for isolated legacy unit-test service stubs.
-        return TushareClient(self.token)
+        if gateway is None:
+            raise RuntimeError("数据中枢尚未装配。")
+        return gateway.tushare()
+
+    def _now(self) -> datetime:
+        clock = getattr(self, "clock", None)
+        if callable(clock):
+            return clock()
+        return datetime.now().astimezone()
+
+    def _is_requested_open_session(self, requested_date: str) -> bool:
+        now = self._now()
+        if requested_date != now.strftime("%Y%m%d"):
+            return False
+        if now.time().replace(tzinfo=None) < dt_time(9, 15):
+            return False
+        client = self._tushare_client() if self.configured else None
+        resolve = getattr(client, "resolve_trade_context", None) if client else None
+        if resolve is None:
+            return now.weekday() < 5
+        try:
+            trade_date, _ = resolve(requested_date)
+        except Exception:
+            return now.weekday() < 5
+        return str(trade_date or "") == requested_date
 
     def get_dashboard(self, trade_date: str, force: bool = False) -> dict[str, Any]:
         normalized_date = normalize_date(trade_date)
-        now = datetime.now().astimezone()
+        now = self._now()
         if (
             normalized_date == now.strftime("%Y%m%d")
             and now.time().replace(tzinfo=None) < datetime.strptime("09:15", "%H:%M").time()
@@ -66,6 +106,8 @@ class MarketServiceMixin:
         if not force:
             snapshot = self.database.get_snapshot(normalized_date)
             if snapshot and str((snapshot.get("meta") or {}).get("source") or "") != "demo":
+                if self._should_retry_incomplete_snapshot(snapshot, normalized_date):
+                    return self.sync_dashboard(normalized_date)
                 snapshot = copy.deepcopy(snapshot)
                 if normalized_date != now.strftime("%Y%m%d"):
                     snapshot.setdefault("meta", {}).update(
@@ -84,6 +126,8 @@ class MarketServiceMixin:
                 "dashboard_request_v1", normalized_date
             )
             if resolved and str((resolved.get("meta") or {}).get("source") or "") != "demo":
+                if self._should_retry_incomplete_snapshot(resolved, normalized_date):
+                    return self.sync_dashboard(normalized_date)
                 resolved = copy.deepcopy(resolved)
                 resolved.setdefault("meta", {})["requested_date"] = self._display_compact_date(
                     normalized_date
@@ -125,6 +169,70 @@ class MarketServiceMixin:
     def _display_compact_date(compact: str) -> str:
         return f"{compact[:4]}-{compact[4:6]}-{compact[6:8]}"
 
+    @staticmethod
+    def _chinese_month_day(value: str) -> str:
+        compact = str(value or "").replace("-", "").replace("/", "")
+        if len(compact) < 8 or not compact[:8].isdigit():
+            return "最近可用交易日"
+        return f"{int(compact[4:6])} 月 {int(compact[6:8])} 日"
+
+    def _preparing_display_notice(self, actual_date: str, requested_date: str) -> str:
+        shown = self._chinese_month_day(actual_date)
+        requested = str(requested_date or "").replace("-", "")
+        if requested == self._now().strftime("%Y%m%d"):
+            return f"今日数据正在准备，当前展示 {shown}"
+        return f"所选日期数据尚未到齐，当前展示 {shown}"
+
+    @staticmethod
+    def _snapshot_age_seconds(meta: dict[str, Any]) -> float:
+        raw = str(meta.get("updated_at") or "")
+        if not raw:
+            return 10**9
+        try:
+            updated_at = datetime.fromisoformat(raw)
+        except ValueError:
+            return 10**9
+        now = datetime.now().astimezone()
+        if updated_at.tzinfo is None:
+            updated_at = updated_at.replace(tzinfo=now.tzinfo)
+        return (now - updated_at.astimezone(now.tzinfo)).total_seconds()
+
+    def _should_retry_incomplete_snapshot(
+        self, snapshot: dict[str, Any], requested_date: str
+    ) -> bool:
+        if requested_date != self._now().strftime("%Y%m%d"):
+            return False
+        meta = snapshot.get("meta") or {}
+        actual = str(meta.get("trade_date") or "").replace("-", "")
+        stale_carry = bool(meta.get("carried_forward") or actual != requested_date)
+        if stale_carry and self._is_requested_open_session(requested_date):
+            return True
+        incomplete = meta.get("limit_data_source") == "derived" or stale_carry
+        return incomplete and self._snapshot_age_seconds(meta) >= 60
+
+    def _annotate_data_status(self, dashboard: dict[str, Any]) -> dict[str, Any]:
+        meta = dashboard.setdefault("meta", {})
+        notice = str(meta.get("notice") or "")
+        requested = str(meta.get("requested_date") or "").replace("-", "")
+        actual = str(meta.get("trade_date") or "").replace("-", "")
+        if meta.get("limit_data_source") == "derived" and not meta.get("carried_forward"):
+            meta["data_status"] = "partial"
+            meta["display_notice"] = notice or "部分正式数据尚未到齐，当前展示日线推算结果"
+        elif meta.get("carried_forward"):
+            if "非交易日" in notice or "盘前" in notice:
+                meta["data_status"] = "carried"
+                meta["display_notice"] = notice
+            else:
+                meta["data_status"] = "preparing"
+                meta["display_notice"] = self._preparing_display_notice(actual, requested)
+        elif meta.get("realtime"):
+            meta["data_status"] = "intraday"
+            meta.setdefault("display_notice", "")
+        else:
+            meta["data_status"] = "official"
+            meta.setdefault("display_notice", "")
+        return dashboard
+
     def _carry_dashboard(
         self, snapshot: dict[str, Any], requested_date: str, reason: str
     ) -> dict[str, Any]:
@@ -139,16 +247,16 @@ class MarketServiceMixin:
                 "notice": reason,
             }
         )
-        return carried
+        return self._annotate_data_status(carried)
 
     def _realtime_snapshot_due(
         self,
         normalized_date: str,
         snapshot: dict[str, Any],
     ) -> bool:
-        if not self.configured or normalized_date != date.today().strftime("%Y%m%d"):
+        if not self.configured or normalized_date != self._now().strftime("%Y%m%d"):
             return False
-        now = datetime.now().astimezone()
+        now = self._now()
         local_time = now.time().replace(tzinfo=None)
         realtime_start = datetime.strptime("09:15", "%H:%M").time()
         morning_end = datetime.strptime("11:35", "%H:%M").time()
@@ -184,14 +292,28 @@ class MarketServiceMixin:
                 if not self.configured:
                     raise TushareError("公共行情尚未配置")
                 dashboard = self._tushare_client().dashboard(normalized_date)
-
-                dashboard["meta"]["source"] = source
-                dashboard["meta"]["requested_date"] = self._display_compact_date(normalized_date)
+                meta = dashboard.setdefault("meta", {})
+                quote_source = str(meta.get("quote_source") or "")
+                meta["source"] = source
+                if quote_source:
+                    meta["quote_source"] = quote_source
+                meta["requested_date"] = self._display_compact_date(normalized_date)
+                if meta.get("limit_data_source") == "derived":
+                    meta.setdefault(
+                        "notice",
+                        "涨跌停高级接口当日数据尚未更新，已使用日线数据推算。",
+                    )
                 dashboard = self._enrich_dashboard_sentiment(dashboard, normalized_date)
                 record_count = self._record_count(dashboard)
                 actual_date = normalize_date(
                     str(dashboard.get("meta", {}).get("trade_date") or normalized_date)
                 )
+                if actual_date != normalized_date and self._is_requested_open_session(
+                    normalized_date
+                ):
+                    raise TushareError(
+                        f"Intraday dashboard resolved {actual_date} instead of {normalized_date}"
+                    )
                 self.database.save_snapshot(actual_date, source, dashboard)
                 if actual_date != normalized_date:
                     dashboard.setdefault("meta", {}).update(
@@ -213,10 +335,37 @@ class MarketServiceMixin:
                 )
                 return self._apply_reason_overrides(self._with_storage(dashboard, cached=False))
             except TushareError as exc:
+                if self._is_requested_open_session(normalized_date):
+                    existing = self.database.get_snapshot(normalized_date)
+                    existing_date = str(
+                        ((existing or {}).get("meta") or {}).get("trade_date") or ""
+                    ).replace("-", "")
+                    if existing and existing_date == normalized_date:
+                        kept = copy.deepcopy(existing)
+                        kept.setdefault("meta", {}).update(
+                            {
+                                "requested_date": self._display_compact_date(normalized_date),
+                            }
+                        )
+                        self.database.finish_sync(
+                            sync_id,
+                            "fallback",
+                            self._record_count(kept),
+                            str(exc),
+                            "tushare",
+                        )
+                        return self._apply_reason_overrides(
+                            self._with_storage(kept, cached=True)
+                        )
+                    self.database.finish_sync(sync_id, "failed", message=str(exc))
+                    raise ValueError("当天盘中行情暂时不可用，请稍后重试。") from exc
                 fallback = self.database.get_latest_real_snapshot(normalized_date)
                 if fallback:
+                    actual = str((fallback.get("meta") or {}).get("trade_date") or "")
                     carried = self._carry_dashboard(
-                        fallback, normalized_date, f"最新行情暂不可用，沿用最近收盘快照：{exc}"
+                        fallback,
+                        normalized_date,
+                        self._preparing_display_notice(actual, normalized_date),
                     )
                     self.database.finish_sync(
                         sync_id, "fallback", self._record_count(carried), str(exc), "tushare"
@@ -526,7 +675,7 @@ class MarketServiceMixin:
             "index_daily",
             {
                 "ts_code": basic["id"],
-                "start_date": (end - timedelta(days=190)).strftime("%Y%m%d"),
+                "start_date": (end - timedelta(days=400)).strftime("%Y%m%d"),
                 "end_date": resolved_date,
             },
             "ts_code,trade_date,open,high,low,close,pct_chg,vol,amount",
@@ -542,10 +691,10 @@ class MarketServiceMixin:
                 "change": float(row.get("pct_chg") or 0),
                 "volume": float(row.get("vol") or 0),
             }
-            for row in rows[-90:]
+            for row in rows[-DAILY_CHART_LIMIT:]
         ]
         try:
-            chart_series = self.chart_data.index_daily(str(basic["id"]), resolved_date, 90)
+            chart_series = self.chart_data.index_daily(str(basic["id"]), resolved_date, DAILY_CHART_LIMIT)
             if chart_series:
                 series = chart_series
         except (AttributeError, ChartDataError):
@@ -653,7 +802,7 @@ class MarketServiceMixin:
         result = copy.deepcopy(payload)
         now = datetime.now().astimezone()
         try:
-            result["prices"] = self.chart_data.stock_daily(code, requested_date, 90)
+            result["prices"] = self.chart_data.stock_daily(code, requested_date, DAILY_CHART_LIMIT)
             result["meta"] = {**(result.get("meta") or {}), "chart_source": "market_chart"}
         except (AttributeError, ChartDataError):
             pass
@@ -665,27 +814,28 @@ class MarketServiceMixin:
                 "trade_date": f"{actual_date[:4]}-{actual_date[4:6]}-{actual_date[6:]}",
             }
         today = now.strftime("%Y%m%d")
+        latest_bar = (result.get("prices") or [{}])[-1] if result.get("prices") else {}
+        official_today = (
+            actual_date == today and not bool(latest_bar.get("realtime"))
+        )
+        after_close = now.time().replace(tzinfo=None) >= dt_time(15, 0)
         should_merge = (
             requested_date == today
             and actual_date <= today
             and now.weekday() < 5
             and now.time().replace(tzinfo=None) >= dt_time(9, 30)
+            and not (official_today and after_close)
         )
         if should_merge:
-            quote = self._ifind_realtime_stock_quote(code)
+            quote = self._resolve_today_daily_quote(code, today, result)
             if quote and self._valid_realtime_stock_quote(quote, today):
                 self._merge_realtime_stock_detail(result, quote, requested_date)
-            elif self.configured and actual_date < today:
-                client = self._tushare_client()
-                try:
-                    resolved_date, _ = client.resolve_trade_context(requested_date)
-                    if resolved_date == today:
-                        quote = client.realtime_stock_quote(tushare_code(code), requested_date)
-                        if self._valid_realtime_stock_quote(quote, today):
-                            self._merge_realtime_stock_detail(result, quote, requested_date)
-                except TushareError:
-                    pass
-        return self._enrich_stock_detail(result)
+            elif actual_date < today:
+                result["meta"] = {
+                    **(result.get("meta") or {}),
+                    "notice": TODAY_DAILY_UNAVAILABLE_NOTICE,
+                }
+        return self._enrich_stock_detail(result, requested_date)
 
     @staticmethod
     def _sanitize_stock_detail_prices(
@@ -799,6 +949,138 @@ class MarketServiceMixin:
             "quote_time": str(row.get("time") or ""),
         }
 
+    def _resolve_today_daily_quote(
+        self, code: str, today: str, payload: dict[str, Any]
+    ) -> dict[str, Any] | None:
+        quote = self._ifind_realtime_stock_quote(code)
+        if quote and self._valid_realtime_stock_quote(quote, today):
+            return quote
+        if self.configured:
+            try:
+                client = self._tushare_client()
+                resolve = getattr(client, "resolve_trade_context", None)
+                resolved = today
+                if callable(resolve):
+                    resolved, _ = resolve(today)
+                if str(resolved or "") == today:
+                    quote = client.realtime_stock_quote(tushare_code(code), today)
+                    if self._valid_realtime_stock_quote(quote, today):
+                        return quote
+            except TushareError:
+                pass
+        quote = self._free_realtime_stock_quote(code, today)
+        if quote and self._valid_realtime_stock_quote(quote, today):
+            return quote
+        return self._intraday_realtime_stock_quote(code, today, payload)
+
+    def _free_realtime_stock_quote(self, code: str, today: str) -> dict[str, Any] | None:
+        aggregator = getattr(self, "realtime_aggregator", None)
+        if aggregator is None:
+            return None
+        ts_code = tushare_code(code)
+        for loader in (
+            getattr(aggregator, "tencent_stock_quote", None),
+            getattr(aggregator, "eastmoney_stock_quote", None),
+        ):
+            if not callable(loader):
+                continue
+            try:
+                row = loader(ts_code, expected_date=today)
+            except (RealtimeAggregateError, Exception):
+                continue
+            quote = self._quote_from_free_row(code, today, row)
+            if quote:
+                return quote
+        return None
+
+    def _quote_from_free_row(
+        self, code: str, today: str, row: dict[str, Any]
+    ) -> dict[str, Any] | None:
+        price = float(row.get("close") or 0)
+        previous_close = float(row.get("pre_close") or 0)
+        if price <= 0 or previous_close <= 0:
+            return None
+        try:
+            name, sector = self._stock_identity(code, today)
+        except Exception:
+            name, sector = "--", "其他"
+        epoch = int(row.get("quote_time_epoch") or 0)
+        if epoch > 0:
+            quote_time = datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
+        else:
+            quote_date = str(row.get("quote_date") or today)
+            quote_time = f"{quote_date[:4]}-{quote_date[4:6]}-{quote_date[6:]}"
+        quote = {
+            "name": str(row.get("name") or name or "--"),
+            "sector": sector,
+            "price": price,
+            "open": float(row.get("open") or 0),
+            "high": float(row.get("high") or 0),
+            "low": float(row.get("low") or 0),
+            "change": round((price / previous_close - 1) * 100, 4),
+            "volume": float(row.get("vol") or 0),
+            "amount_billion": float(row.get("amount") or 0) / 100_000_000,
+            "turnover_rate": float(row.get("turnover_rate") or 0),
+            "quote_time": quote_time,
+        }
+        flow = _moneyflow_payload(row)
+        if flow.get("available"):
+            quote["moneyflow"] = flow
+        return quote
+
+    def _intraday_realtime_stock_quote(
+        self, code: str, today: str, payload: dict[str, Any]
+    ) -> dict[str, Any] | None:
+        chart_data = getattr(self, "chart_data", None)
+        if chart_data is None:
+            return None
+        try:
+            chart = chart_data.stock_intraday(code)
+        except (AttributeError, ChartDataError, Exception):
+            return None
+        points = [
+            point
+            for point in list(chart.get("points") or [])
+            if str(point.get("date") or "").replace("-", "") == today
+        ]
+        if not points:
+            return None
+        opens = [float(point.get("open") or 0) for point in points if float(point.get("open") or 0) > 0]
+        highs = [float(point.get("high") or 0) for point in points if float(point.get("high") or 0) > 0]
+        lows = [float(point.get("low") or 0) for point in points if float(point.get("low") or 0) > 0]
+        closes = [float(point.get("close") or 0) for point in points if float(point.get("close") or 0) > 0]
+        if not opens or not highs or not lows or not closes:
+            return None
+        price = closes[-1]
+        previous_close = float(chart.get("previous_close") or 0)
+        if previous_close <= 0:
+            history = list(payload.get("prices") or [])
+            previous_close = float((history[-1] if history else {}).get("close") or 0)
+        if previous_close <= 0:
+            return None
+        volume = sum(float(point.get("volume") or 0) for point in points)
+        amount = sum(float(point.get("amount") or 0) for point in points)
+        if volume <= 0 and amount <= 0:
+            return None
+        try:
+            name, sector = self._stock_identity(code, today)
+        except Exception:
+            name, sector = "--", "其他"
+        return {
+            "name": name,
+            "sector": sector,
+            "price": price,
+            "open": opens[0],
+            "high": max(highs),
+            "low": min(lows),
+            "change": round((price / previous_close - 1) * 100, 4),
+            "volume": volume,
+            "volume_unit": "lots",
+            "amount_billion": amount / 100_000_000,
+            "turnover_rate": 0.0,
+            "quote_time": str(points[-1].get("date") or today),
+        }
+
     @staticmethod
     def _merge_realtime_stock_detail(
         payload: dict[str, Any], quote: dict[str, Any], trade_date: str
@@ -820,23 +1102,29 @@ class MarketServiceMixin:
             prices[-1] = realtime_bar
         else:
             prices.append(realtime_bar)
-        payload["prices"] = prices[-90:]
+        payload["prices"] = prices[-DAILY_CHART_LIMIT:]
         stock = dict(payload.get("stock") or {})
-        stock.update(
-            {
-                "name": quote["name"],
-                "industry": quote["sector"],
-                "price": quote["price"],
-                "change": quote["change"],
-                "amount_billion": quote["amount_billion"],
-                "turnover_rate": quote["turnover_rate"],
-            }
-        )
+        updates = {
+            "name": quote["name"],
+            "industry": quote["sector"],
+            "price": quote["price"],
+            "change": quote["change"],
+            "amount_billion": quote["amount_billion"],
+        }
+        quote_turnover = _optional_number(quote.get("turnover_rate"))
+        if quote_turnover:
+            updates["turnover_rate"] = quote_turnover
+        stock.update(updates)
         payload["stock"] = stock
+        quote_flow = quote.get("moneyflow")
+        current_flow = payload.get("moneyflow") or {}
+        if isinstance(quote_flow, dict) and quote_flow.get("available") and not current_flow.get("available"):
+            payload["moneyflow"] = quote_flow
         payload["meta"] = {
             **(payload.get("meta") or {}),
             "trade_date": display_date,
             "realtime": True,
+            "notice": "",
             "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
         }
 
@@ -870,7 +1158,7 @@ class MarketServiceMixin:
             intraday_status = "unavailable"
             intraday_notice = "分时行情暂不可用，请稍后重试。"
 
-        prices = list(detail.get("prices") or [])[-60:]
+        prices = list(detail.get("prices") or [])[-DAILY_CHART_LIMIT:]
         stock = dict(detail.get("stock") or {"code": code})
         realtime = bool(detail_meta.get("realtime"))
         return {
@@ -890,31 +1178,226 @@ class MarketServiceMixin:
             "intraday": intraday_points,
         }
 
-    def backfill(self, start_date: str, end_date: str) -> list[dict[str, Any]]:
-        start = datetime.strptime(normalize_date(start_date), "%Y%m%d").date()
-        end = datetime.strptime(normalize_date(end_date), "%Y%m%d").date()
-        if start > end:
-            raise ValueError("开始日期不能晚于结束日期。")
-        weekdays = []
-        current = start
-        while current <= end:
-            if current.weekday() < 5:
-                weekdays.append(current)
-            current += timedelta(days=1)
-        if len(weekdays) > 15:
-            raise ValueError("单次最多回补 15 个工作日。")
-        results = []
-        for day in weekdays:
-            dashboard = self.sync_dashboard(day.strftime("%Y%m%d"))
+    def backfill(
+        self,
+        start_date: str = "",
+        end_date: str = "",
+        *,
+        lookback: int | None = None,
+        dry_run: bool = False,
+        force: bool = False,
+        create_backup: bool = True,
+    ) -> dict[str, Any]:
+        """Backfill dashboard snapshots for real trading days only.
+
+        - Date-range mode keeps the admin UI contract (max 15 open sessions).
+        - Recent mode fills the last N open sessions (default/max 60).
+        Weekends and holidays are reported as skipped non-trading days, not errors.
+        """
+        if not self.configured:
+            raise ValueError("公共行情尚未配置，无法回补历史快照。")
+        normalized_end = normalize_date(end_date or date.today().isoformat())
+        if lookback is not None or not (start_date and end_date):
+            target_lookback = (
+                DEFAULT_RECENT_TRADING_DAYS if lookback is None else int(lookback)
+            )
+            return self.backfill_recent_trading_days(
+                end_date=normalized_end,
+                lookback=target_lookback,
+                dry_run=dry_run,
+                force=force,
+                create_backup=create_backup,
+            )
+        return self._backfill_date_range(
+            start_date=normalize_date(start_date),
+            end_date=normalized_end,
+            dry_run=dry_run,
+            force=force,
+            create_backup=create_backup,
+        )
+
+    def backfill_recent_trading_days(
+        self,
+        end_date: str = "",
+        lookback: int = DEFAULT_RECENT_TRADING_DAYS,
+        *,
+        dry_run: bool = False,
+        force: bool = False,
+        create_backup: bool = True,
+    ) -> dict[str, Any]:
+        normalized_end = normalize_date(end_date or date.today().isoformat())
+        trade_dates = self._load_recent_open_trade_dates(normalized_end, lookback)
+        existing = self.database.list_snapshot_trade_dates(
+            trade_dates[0], trade_dates[-1]
+        )
+        coverage = classify_snapshot_coverage(trade_dates, existing)
+        return self._execute_snapshot_backfill(
+            mode="recent",
+            end_date=normalized_end,
+            lookback=lookback,
+            coverage=coverage,
+            skipped_non_trading_days=[],
+            dry_run=dry_run,
+            force=force,
+            create_backup=create_backup,
+        )
+
+    def _backfill_date_range(
+        self,
+        start_date: str,
+        end_date: str,
+        *,
+        dry_run: bool = False,
+        force: bool = False,
+        create_backup: bool = True,
+    ) -> dict[str, Any]:
+        window_start = calendar_window_start(end_date, MAX_RANGE_TRADING_DAYS)
+        calendar_rows = self._tushare_client().query(
+            "trade_cal",
+            {
+                "exchange": "SSE",
+                "start_date": min(window_start, start_date),
+                "end_date": end_date,
+            },
+            "cal_date,is_open,pretrade_date",
+        )
+        trade_dates, skipped = select_open_trade_dates_in_range(
+            calendar_rows,
+            start_date,
+            end_date,
+            maximum=MAX_RANGE_TRADING_DAYS,
+        )
+        if not trade_dates:
+            raise ValueError("选定区间内没有交易日，周末或节假日无需回补。")
+        existing = self.database.list_snapshot_trade_dates(trade_dates[0], trade_dates[-1])
+        coverage = classify_snapshot_coverage(trade_dates, existing)
+        return self._execute_snapshot_backfill(
+            mode="range",
+            end_date=end_date,
+            lookback=None,
+            coverage=coverage,
+            skipped_non_trading_days=skipped,
+            dry_run=dry_run,
+            force=force,
+            create_backup=create_backup,
+        )
+
+    def _load_recent_open_trade_dates(self, end_date: str, lookback: int) -> list[str]:
+        start_date = calendar_window_start(end_date, lookback)
+        calendar_rows = self._tushare_client().query(
+            "trade_cal",
+            {
+                "exchange": "SSE",
+                "start_date": start_date,
+                "end_date": end_date,
+            },
+            "cal_date,is_open,pretrade_date",
+        )
+        return select_open_trade_dates(calendar_rows, end_date, lookback)
+
+    def _execute_snapshot_backfill(
+        self,
+        *,
+        mode: str,
+        end_date: str,
+        lookback: int | None,
+        coverage: dict[str, Any],
+        skipped_non_trading_days: list[str],
+        dry_run: bool,
+        force: bool,
+        create_backup: bool,
+    ) -> dict[str, Any]:
+        targets = list(coverage["trade_dates"] if force else coverage["missing"])
+        backup_path: str | None = None
+        if create_backup and not dry_run and targets:
+            backup = create_sqlite_backup(
+                Path(self.database.path),
+                DATA_DIR / "backups",
+                label=f"pre-{mode}-backfill",
+            )
+            backup_path = str(backup)
+
+        results: list[dict[str, Any]] = []
+        if dry_run:
+            for trade_date in coverage["trade_dates"]:
+                exists = trade_date in coverage["present"]
+                if exists and not force:
+                    status = "skipped"
+                    action = "exists"
+                else:
+                    status = "planned"
+                    action = "refresh" if exists else "create"
+                results.append(
+                    {
+                        "requested_date": display_date(trade_date),
+                        "trade_date": display_date(trade_date),
+                        "status": status,
+                        "action": action,
+                    }
+                )
+            return build_backfill_audit(
+                mode=mode,
+                end_date=end_date,
+                lookback=lookback,
+                coverage=coverage,
+                skipped_non_trading_days=skipped_non_trading_days,
+                backup_path=backup_path,
+                dry_run=True,
+                results=results,
+            )
+
+        present_before = set(coverage["present"])
+        for trade_date in targets:
+            existed = trade_date in present_before
+            try:
+                dashboard = self.sync_dashboard(trade_date)
+                actual = normalize_date(
+                    str(dashboard.get("meta", {}).get("trade_date") or trade_date)
+                )
+                results.append(
+                    {
+                        "requested_date": display_date(trade_date),
+                        "trade_date": display_date(actual),
+                        "status": "success",
+                        "action": "refreshed" if existed else "created",
+                        "source": dashboard.get("meta", {}).get("source"),
+                        "records": self._record_count(dashboard),
+                    }
+                )
+            except Exception as exc:
+                results.append(
+                    {
+                        "requested_date": display_date(trade_date),
+                        "trade_date": display_date(trade_date),
+                        "status": "failed",
+                        "action": "refresh" if existed else "create",
+                        "error": str(exc),
+                    }
+                )
+
+        for trade_date in coverage["present"]:
+            if force:
+                continue
             results.append(
                 {
-                    "requested_date": day.isoformat(),
-                    "trade_date": dashboard["meta"]["trade_date"],
-                    "source": dashboard["meta"]["source"],
-                    "records": self._record_count(dashboard),
+                    "requested_date": display_date(trade_date),
+                    "trade_date": display_date(trade_date),
+                    "status": "skipped",
+                    "action": "exists",
                 }
             )
-        return results
+
+        results.sort(key=lambda row: str(row.get("requested_date") or ""))
+        return build_backfill_audit(
+            mode=mode,
+            end_date=end_date,
+            lookback=lookback,
+            coverage=coverage,
+            skipped_non_trading_days=skipped_non_trading_days,
+            backup_path=backup_path,
+            dry_run=False,
+            results=results,
+        )
 
     def _stock_identity(self, code: str, trade_date: str) -> tuple[str, str]:
         snapshot = self.database.get_snapshot(trade_date) or {}
@@ -927,10 +1410,40 @@ class MarketServiceMixin:
                 return item["name"], item["sector"] or "其他"
         return "--", "其他"
 
-    def _enrich_stock_detail(self, payload: dict[str, Any]) -> dict[str, Any]:
+    def _enrich_stock_detail(
+        self, payload: dict[str, Any], trade_date: str = ""
+    ) -> dict[str, Any]:
         result = dict(payload)
         stock = dict(payload.get("stock") or {})
         code = str(stock.get("code") or "")
+        compact_date = normalize_date(
+            str((payload.get("meta") or {}).get("trade_date") or trade_date)
+        )
+        board = self._limit_event_for_stock(code, compact_date)
+        if board:
+            if not stock.get("first_time") or stock.get("first_time") == "--":
+                stock["first_time"] = board.get("first_time") or "--"
+            if not stock.get("last_time") or stock.get("last_time") == "--":
+                stock["last_time"] = board.get("last_time") or "--"
+            if not stock.get("open_times"):
+                stock["open_times"] = board.get("open_times") or 0
+            if _optional_number(stock.get("seal_amount_million")) is None:
+                stock["seal_amount_million"] = board.get("seal_amount_million")
+            if not _optional_number(stock.get("turnover_rate")) and _optional_number(board.get("turnover_rate")):
+                stock["turnover_rate"] = board.get("turnover_rate")
+        flow = result.get("moneyflow") or {}
+        if not flow.get("available"):
+            live_flow = self._live_moneyflow_for_stock(code, compact_date)
+            if live_flow.get("available"):
+                result["moneyflow"] = live_flow
+            else:
+                result["moneyflow"] = {
+                    "available": False,
+                    "net_million": None,
+                    "large_million": None,
+                    "medium_million": None,
+                    "small_million": None,
+                }
         watched = {
             item["code"]: item
             for item in self.database.list_watchlist(self.current_user_id)
@@ -940,6 +1453,45 @@ class MarketServiceMixin:
         result["notes"] = self.database.list_notes(self.current_user_id, code=code)
         return result
 
+    def _limit_event_for_stock(self, code: str, trade_date: str) -> dict[str, Any]:
+        if not code or not trade_date:
+            return {}
+        ts_code = tushare_code(code)
+        client = self._tushare_client() if self.configured else None
+        rows: list[dict[str, Any]] = []
+        if client is not None:
+            try:
+                rows = client._load_limit_type(trade_date, "U") + client._load_limit_type(trade_date, "Z")
+            except Exception:
+                rows = []
+            if not rows:
+                try:
+                    rows = list((client._free_board_map(trade_date) or {}).values())
+                except Exception:
+                    rows = []
+        match = next((row for row in rows if str(row.get("ts_code") or "") == ts_code), None)
+        if not match:
+            return {}
+        fd = _optional_number(match.get("fd_amount"))
+        return {
+            "first_time": match.get("first_time") or "--",
+            "last_time": match.get("last_time") or "--",
+            "open_times": match.get("open_times") or 0,
+            "seal_amount_million": None if fd is None else round(fd / 10000, 0),
+            "turnover_rate": _optional_number(match.get("turnover_ratio")),
+        }
+
+    def _live_moneyflow_for_stock(self, code: str, trade_date: str) -> dict[str, Any]:
+        aggregator = getattr(self, "realtime_aggregator", None)
+        loader = getattr(aggregator, "eastmoney_stock_quote", None) if aggregator else None
+        if not callable(loader) or not code:
+            return _moneyflow_payload(None)
+        try:
+            quote = loader(tushare_code(code), expected_date=trade_date)
+        except Exception:
+            return _moneyflow_payload(None)
+        return _moneyflow_payload(quote)
+
     def _with_storage(self, dashboard: dict[str, Any], cached: bool) -> dict[str, Any]:
         result = dict(dashboard)
         result["meta"] = {
@@ -947,7 +1499,7 @@ class MarketServiceMixin:
             "storage": "sqlite",
             "cached": cached,
         }
-        return result
+        return self._annotate_data_status(result)
 
     @staticmethod
     def _record_count(dashboard: dict[str, Any]) -> int:
@@ -955,4 +1507,3 @@ class MarketServiceMixin:
             len(dashboard.get(key) or [])
             for key in ("limits", "broken", "down_limits", "yesterday_limits")
         )
-

backend/features/system/http.py

@@ -26,13 +26,15 @@ class SystemHttpMixin:
     def start_background_refresh(self) -> None:
         try:
             body = self.read_json_body(allow_empty=True)
-            started = self.application_service.request_background_sync(
+            refresh = self.application_service.request_background_sync(
                 str(body.get("trade_date") or date.today().isoformat())
             )
+            started = bool(refresh.get("started"))
             self.send_json(
                 {
                     "ok": True,
                     "started": started,
+                    "job_key": str(refresh.get("job_key") or ""),
                     "message": "后台刷新已开始" if started else "已有后台刷新任务正在运行",
                 },
                 HTTPStatus.ACCEPTED,

backend/features/system/routes.py

@@ -29,11 +29,17 @@ class SystemRoutesMixin:
     def backfill_data(self) -> None:
         try:
             body = self.read_json_body()
-            results = self.application_service.backfill(
+            lookback_raw = body.get("lookback")
+            lookback = int(lookback_raw) if lookback_raw not in (None, "") else None
+            audit = self.application_service.backfill(
                 str(body.get("start_date") or ""),
                 str(body.get("end_date") or ""),
+                lookback=lookback,
+                dry_run=bool(body.get("dry_run")),
+                force=bool(body.get("force")),
+                create_backup=body.get("create_backup", True) is not False,
             )
-            self.send_json({"ok": True, "results": results})
+            self.send_json({"ok": True, **audit, "results": audit.get("results") or []})
         except ValueError as exc:
             self.send_json({"error": str(exc)}, HTTPStatus.BAD_REQUEST)
         except Exception as exc:

backend/features/system/service.py

@@ -4,7 +4,14 @@ import re
 import secrets
 from typing import Any
 
-from backend.bootstrap.config import TOKEN_PATTERN, validate_text
+from backend.bootstrap.config import validate_text
+
+
+MARKET_SOURCE_SECRET_KEYS = {
+    "tushare_token",
+    "ifind_refresh_token",
+    "ifind_access_token",
+}
 
 
 class SystemServiceMixin:
@@ -18,9 +25,6 @@ class SystemServiceMixin:
             first_encrypted = self.database.get_user_credentials(first_user_id)
             first_personal = self.vault.decrypt_json(first_encrypted) if first_encrypted else {}
         defaults = {
-            "tushare_token": environment.get("tushare_token") or first_personal.get("tushare_token") or "",
-            "ifind_refresh_token": environment.get("ifind_refresh_token") or "",
-            "ifind_access_token": environment.get("ifind_access_token") or "",
             "platform_llm_primary_api_key": environment.get("platform_llm_primary_api_key") or first_personal.get("llm_primary_api_key") or "",
             "platform_llm_primary_base_url": environment.get("platform_llm_primary_base_url") or first_personal.get("llm_primary_base_url") or "https://api.openai.com/v1",
             "platform_llm_primary_model": environment.get("platform_llm_primary_model") or first_personal.get("llm_primary_model") or "",
@@ -34,6 +38,10 @@ class SystemServiceMixin:
             if key not in current:
                 current[key] = value
                 changed = True
+        for key in MARKET_SOURCE_SECRET_KEYS:
+            if key in current:
+                current.pop(key, None)
+                changed = True
         if not isinstance(current.get("llm_models"), list):
             migrated_models: list[dict[str, str]] = []
             for role, label in (("primary", "原主模型"), ("fallback", "原辅助模型")):
@@ -56,26 +64,27 @@ class SystemServiceMixin:
             self.database.save_system_setting("credentials", self.vault.encrypt_json(current))
         for row in self.database.list_user_credentials():
             personal = self.vault.decrypt_json(str(row.get("encrypted_payload") or ""))
-            if "tushare_token" in personal:
-                personal.pop("tushare_token", None)
+            if any(key in personal for key in MARKET_SOURCE_SECRET_KEYS):
+                for key in MARKET_SOURCE_SECRET_KEYS:
+                    personal.pop(key, None)
                 self.database.save_user_credentials(
                     int(row["user_id"]), self.vault.encrypt_json(personal)
                 )
         return current
 
     def _save_system_credentials(self, credentials: dict[str, Any]) -> None:
+        sanitized = {
+            key: value
+            for key, value in credentials.items()
+            if key not in MARKET_SOURCE_SECRET_KEYS
+        }
         with self.system_lock:
-            self.database.save_system_setting("credentials", self.vault.encrypt_json(credentials))
-            self._system_credentials = dict(credentials)
-            if hasattr(self, "ifind"):
-                self.ifind.set_credentials(
-                    str(credentials.get("ifind_refresh_token") or ""),
-                    str(credentials.get("ifind_access_token") or ""),
-                )
+            self.database.save_system_setting("credentials", self.vault.encrypt_json(sanitized))
+            self._system_credentials = dict(sanitized)
 
     @property
     def configured(self) -> bool:
-        return bool(self.token)
+        return bool(self._datahub_status().get("configured"))
 
     def _credentials(self) -> dict[str, str]:
         credentials = getattr(self._request_context, "credentials", {})
@@ -99,7 +108,7 @@ class SystemServiceMixin:
 
     @property
     def token(self) -> str:
-        return str(self._system_credentials.get("tushare_token") or "")
+        return "datahub" if self.configured else ""
 
     def system_status(self) -> dict[str, Any]:
         platform = self._platform_llm_profile()
@@ -130,6 +139,7 @@ class SystemServiceMixin:
                 ),
                 **self.database.status(),
                 "jobs": self.jobs.repository.recent(12),
+                "datahub": self._datahub_status(),
             },
             "llm": {
                 "primary_configured": self._profile_configured(platform["primary"]),
@@ -145,21 +155,24 @@ class SystemServiceMixin:
             },
         }
 
+    def _datahub_status(self) -> dict[str, Any]:
+        gateway = getattr(self, "data_gateway", None)
+        reporter = getattr(gateway, "datahub_status", None)
+        if callable(reporter):
+            return reporter()
+        return {
+            "configured": False,
+            "base_url": "",
+            "enabled_reads": 0,
+            "total_reads": 0,
+            "flags": [],
+            "routes": [],
+            "fallback_count": 0,
+            "fallback_labels": [],
+        }
+
     def save_system_settings(self, payload: dict[str, Any]) -> dict[str, Any]:
         current = dict(self._system_credentials)
-        token = str(payload.get("tushare_token") or current.get("tushare_token") or "").strip()
-        if token and not TOKEN_PATTERN.fullmatch(token):
-            raise ValueError("Tushare Token 格式不正确。")
-        ifind_refresh_token = str(
-            payload.get("ifind_refresh_token")
-            or current.get("ifind_refresh_token")
-            or ""
-        ).strip()
-        if ifind_refresh_token and (
-            len(ifind_refresh_token) > 2048
-            or any(character.isspace() for character in ifind_refresh_token)
-        ):
-            raise ValueError("iFinD Refresh Token 格式不正确。")
         existing_models = {
             str(item.get("id") or ""): item
             for item in current.get("llm_models") or []
@@ -221,8 +234,6 @@ class SystemServiceMixin:
             raise ValueError("会员每日额度应为 1 至 1000。") from exc
         current.update(
             {
-                "tushare_token": token,
-                "ifind_refresh_token": ifind_refresh_token,
                 "llm_models": models,
                 "primary_model_id": primary_model_id,
                 "fallback_model_id": fallback_model_id,
@@ -242,7 +253,7 @@ class SystemServiceMixin:
         llm_access = self.llm_access_status()
         return {
             "configured": self.configured,
-            "mode": "tushare" if self.configured else "unavailable",
+            "mode": "datahub" if self.configured else "unavailable",
             "llm_configured": self.llm_configured,
             "llm_model": self.llm_primary_model if self.llm_configured else "",
             "llm_fallback_configured": self.llm_fallback_configured,

backend/http/handler.py

@@ -109,7 +109,14 @@ class HttpTransportMixin:
             return {}
         if length <= 0 or length > 65536:
             raise ValueError("请求内容为空或过大。")
-        return json.loads(self.rfile.read(length).decode("utf-8"))
+        raw = self.rfile.read(length)
+        try:
+            payload = json.loads(raw.decode("utf-8"))
+        except (UnicodeDecodeError, json.JSONDecodeError):
+            raise ValueError("请求不是合法 JSON。") from None
+        if not isinstance(payload, dict):
+            raise ValueError("请求不是合法 JSON。")
+        return payload
 
     def serve_static(self, request_path: str) -> None:
         relative = unquote(request_path).lstrip("/") or "index.html"

backend/jobs/refresh.py

@@ -0,0 +1,48 @@
+from __future__ import annotations
+
+from datetime import datetime, time as dt_time
+
+
+def dashboard_has_usable_data(dashboard: dict[str, object]) -> bool:
+    if not isinstance(dashboard, dict) or dashboard.get("status") == "failed":
+        return False
+    meta = dashboard.get("meta") or {}
+    overview = dashboard.get("overview") or {}
+    if isinstance(meta, dict) and (meta.get("trade_date") or meta.get("carried_forward")):
+        return True
+    return bool(isinstance(overview, dict) and overview)
+
+
+def verified_dashboard_result(dashboard: dict[str, object]) -> dict[str, object]:
+    """Manual refresh and automatic catch-up share this rule.
+
+    Derived limit lists or a previous usable snapshot are not whole-job failures.
+    Only a payload with no displayable market data is recorded as failed.
+    """
+    if dashboard_has_usable_data(dashboard):
+        return dashboard
+    meta = dashboard.get("meta") if isinstance(dashboard, dict) else None
+    notice = ""
+    if isinstance(meta, dict):
+        notice = str(meta.get("notice") or meta.get("display_notice") or "")
+    return {
+        "status": "failed",
+        "error": notice or "未获取到可用行情",
+    }
+
+
+def official_catchup_due(today: str, snapshot: dict[str, object]) -> bool:
+    now = datetime.now().astimezone().time().replace(tzinfo=None)
+    if not (dt_time(15, 5) <= now < dt_time(22, 0)):
+        return False
+    meta = snapshot.get("meta") if isinstance(snapshot.get("meta"), dict) else {}
+    actual = str(meta.get("trade_date") or "").replace("-", "")
+    if (
+        actual == today
+        and meta.get("limit_data_source") != "derived"
+        and not meta.get("carried_forward")
+        and not meta.get("realtime")
+        and meta.get("mode") != "realtime"
+    ):
+        return False
+    return True

backend/jobs/service.py

@@ -5,6 +5,7 @@ import time
 from datetime import date
 
 from backend.bootstrap.config import normalize_date
+from backend.jobs.refresh import official_catchup_due, verified_dashboard_result
 
 
 class JobServiceMixin:
@@ -20,15 +21,16 @@ class JobServiceMixin:
         workers_stopped = self.jobs.wait_for_idle(timeout_seconds)
         return scheduler_stopped and workers_stopped
 
-    def request_background_sync(self, trade_date: str) -> bool:
+    def request_background_sync(self, trade_date: str) -> dict[str, object]:
         normalized = normalize_date(trade_date)
         key = f"manual:{normalized}:{time.time_ns()}"
-        return self.jobs.submit(
+        started = self.jobs.submit(
             "market.refresh",
             key,
-            lambda: self.sync_dashboard(normalized),
+            lambda: verified_dashboard_result(self.sync_dashboard(normalized)),
             {"trade_date": normalized, "trigger": "administrator"},
         )
+        return {"started": started, "job_key": key if started else ""}
 
     def _background_refresh_tick(self) -> None:
         if not (
@@ -43,7 +45,15 @@ class JobServiceMixin:
             self.jobs.submit(
                 "market.refresh",
                 f"realtime:{today}:{bucket}",
-                lambda: self.sync_dashboard(today),
+                lambda: verified_dashboard_result(self.sync_dashboard(today)),
                 {"trade_date": today, "trigger": "realtime-poll"},
             )
+        elif official_catchup_due(today, snapshot):
+            bucket = int(time.time() // 300)
+            self.jobs.submit(
+                "market.refresh",
+                f"catchup:{today}:{bucket}",
+                lambda: verified_dashboard_result(self.sync_dashboard(today)),
+                {"trade_date": today, "trigger": "official-catchup"},
+            )
         self._schedule_automatic_screeners(today, snapshot)

compose.datahub.yaml

@@ -0,0 +1,47 @@
+# Optional overlay. Does not replace the existing xiaobai-review service.
+# Start later (总工部署时) with:
+#   docker compose -f compose.yaml -f compose.datahub.yaml up -d
+#
+# Required .env keys: DATAHUB_ENCRYPTION_KEY, DATAHUB_TOKEN, DATAHUB_ADMIN_PASSWORD, TUSHARE_TOKEN
+
+services:
+  xiaobai-datahub:
+    build:
+      context: ./xiaobai-datahub
+      dockerfile: Dockerfile
+    image: xiaobai-datahub:local
+    container_name: xiaobai-datahub
+    ports:
+      - "0.0.0.0:8766:8766/tcp"
+    env_file:
+      - ./xiaobai-datahub/.env
+    environment:
+      DATAHUB_ENCRYPTION_KEY: "${DATAHUB_ENCRYPTION_KEY:?DATAHUB_ENCRYPTION_KEY must be set}"
+      DATAHUB_TOKEN: "${DATAHUB_TOKEN:?DATAHUB_TOKEN must be set}"
+      DATAHUB_ADMIN_PASSWORD: "${DATAHUB_ADMIN_PASSWORD:?DATAHUB_ADMIN_PASSWORD must be set}"
+      TUSHARE_TOKEN: "${TUSHARE_TOKEN:-}"
+      IFIND_REFRESH_TOKEN: "${IFIND_REFRESH_TOKEN:-}"
+      IFIND_ACCESS_TOKEN: "${IFIND_ACCESS_TOKEN:-}"
+      DATAHUB_DB_PATH: /app/data/datahub.db
+      DATAHUB_BACKUP_DIR: /app/data/backups
+      TZ: Asia/Shanghai
+      PYTHONUTF8: "1"
+    volumes:
+      - type: bind
+        source: ./datahub-data
+        target: /app/data
+    restart: unless-stopped
+    init: true
+    read_only: true
+    tmpfs:
+      - /tmp:size=64m,mode=1777
+    security_opt:
+      - no-new-privileges:true
+    cap_drop:
+      - ALL
+    stop_grace_period: 30s
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"

compose.yaml

@@ -3,7 +3,9 @@ services:
     build:
       context: .
       dockerfile: Dockerfile
-    image: xiaobai-review:latest
+      labels:
+        org.opencontainers.image.revision: "${XIAOBAI_GIT_REV:?必须先设置 XIAOBAI_GIT_REV=当前 main 完整提交号（或改用 tools/update_from_main.sh）}"
+    image: xiaobai-review:main-${XIAOBAI_GIT_SHORT:?必须先设置 XIAOBAI_GIT_SHORT=7位提交短号（或改用 tools/update_from_main.sh）}
     container_name: xiaobai-review
     ports:
       - "0.0.0.0:8765:8765/tcp"
@@ -11,6 +13,26 @@ services:
       - ./.env
     environment:
       APP_ENCRYPTION_KEY: "${APP_ENCRYPTION_KEY:?APP_ENCRYPTION_KEY must be set in .env}"
+      # Provider credentials are consumed only by xiaobai-datahub.
+      TUSHARE_TOKEN: ""
+      IFIND_REFRESH_TOKEN: ""
+      IFIND_ACCESS_TOKEN: ""
+      DATAHUB_BASE_URL: "${DATAHUB_BASE_URL:-http://192.168.200.11:8766}"
+      DATAHUB_READ_CALENDAR: "1"
+      DATAHUB_READ_STOCKS: "1"
+      DATAHUB_READ_DAILY: "1"
+      DATAHUB_READ_INDEX_DAILY: "1"
+      DATAHUB_READ_VALUATION: "1"
+      DATAHUB_READ_MONEYFLOW: "1"
+      DATAHUB_READ_AUCTION: "1"
+      DATAHUB_READ_LIMIT_EVENTS: "1"
+      DATAHUB_READ_POPULARITY: "1"
+      DATAHUB_READ_DRAGON_TIGER: "1"
+      DATAHUB_READ_SECTOR_DAILY: "1"
+      DATAHUB_READ_QUOTES: "1"
+      DATAHUB_READ_INDEX_QUOTES: "1"
+      DATAHUB_READ_INTRADAY: "1"
+      DATAHUB_READ_STATUS: "1"
       TZ: Asia/Shanghai
       PYTHONUTF8: "1"
     volumes:

config/README.md

@@ -12,6 +12,12 @@ These registries describe the approved product surface of the standalone applica
   providers, model entry points, CSS layers, and remaining code hotspots.
 - `data-fields.config.json`: canonical data products, provider eligibility, intended use, and
   known blocked datasets.
+- `datahub.config.json`: official read-only client for `xiaobai-datahub`. Each dataset has its
+  own `read` / `shadow` flag; official reads default on. `compose.yaml` pins every
+  `DATAHUB_READ_*` to `"1"` so a leftover `.env` `=0` cannot silently keep official
+  pages on the old APIs. Environment variables can still override a single
+  `DATAHUB_SHADOW_*` without a master switch. The old website APIs stay as
+  emergency fallback only.
 - `data-quality.config.json`: freshness, coverage, units, adjustment, point-in-time, and
   fail-closed rules for every canonical data product.
 - `jobs.config.json`: background schedules, dependencies, lock keys, retry policy, timeouts,

config/architecture-inventory.json

@@ -204,25 +204,25 @@
       "path": "backend/data/providers/tushare_client.py",
       "runtime_role": "stable client facade for primary deterministic market data"
     },
+    {
+      "provider": "datahub",
+      "path": "backend/data/datahub/client.py",
+      "runtime_role": "website-only read path; official EOD, live quotes, and licensed iFinD"
+    },
     {
       "provider": "ifind",
-      "path": "backend/data/providers/ifind_client.py",
-      "runtime_role": "realtime, charts, snapshots, enrichment"
+      "path": "xiaobai-datahub/datahub/adapters/ifind.py",
+      "runtime_role": "licensed iFinD source inside the data hub"
     },
     {
       "provider": "eastmoney",
-      "path": "backend/features/market/charts.py",
-      "runtime_role": "display chart fallback"
-    },
-    {
-      "provider": "eastmoney",
-      "path": "backend/data/realtime.py",
-      "runtime_role": "isolated realtime observation"
+      "path": "xiaobai-datahub/datahub/adapters/eastmoney.py",
+      "runtime_role": "free realtime quotes and shenwan inside the data hub"
     },
     {
       "provider": "tencent",
-      "path": "backend/data/realtime.py",
-      "runtime_role": "index observation fallback"
+      "path": "xiaobai-datahub/datahub/adapters/tencent.py",
+      "runtime_role": "free index and stock quotes inside the data hub"
     }
   ],
   "provider_domains": [
@@ -279,16 +279,28 @@
       "compatibility_fallback": "backend/features/market/service.py"
     },
     {
-      "client": "IfindHttpClient",
+      "client": "DatahubClient",
+      "owner": "backend/data/gateway.py"
+    },
+    {
+      "client": "DatahubBridge",
+      "owner": "backend/data/gateway.py"
+    },
+    {
+      "client": "DatahubAwareTushareClient",
+      "owner": "backend/data/gateway.py"
+    },
+    {
+      "client": "HubIfindProxy",
+      "owner": "backend/data/gateway.py"
+    },
+    {
+      "client": "HubRealtimeProxy",
       "owner": "backend/data/gateway.py"
     },
     {
       "client": "MarketChartClient",
       "owner": "backend/data/gateway.py"
-    },
-    {
-      "client": "WebRealtimeAggregator",
-      "owner": "backend/data/gateway.py"
     }
   ],
   "heaven_service_owners": {
@@ -313,6 +325,7 @@
     "system_service": "backend/features/system/service.py",
     "account_bridge": "backend/features/accounts/application.py",
     "job_lifecycle": "backend/jobs/service.py",
+    "job_refresh_status": "backend/jobs/refresh.py",
     "feature_routes": "backend/features/*/routes.py"
   },
   "numeric_normalization": [
@@ -374,11 +387,11 @@
     }
   ],
   "css_layers": [
-    "/shared/tokens.css?v=20260829-1",
+    "/shared/tokens.css?v=20260829-hel240",
     "/shared/base.css?v=20260806-1",
-    "/shared/shell.css?v=20260820-8",
-    "/shared/auth.css?v=20260829-1",
-    "/shared/components/controls.css?v=20260820-2",
+    "/shared/shell.css?v=20260829-hel237",
+    "/shared/auth.css?v=20260829-hel240b",
+    "/shared/components/controls.css?v=20260829-hel237",
     "/shared/components/navigation.css?v=20260820-1",
     "/shared/components/cards.css?v=20260820-1",
     "/shared/components/tables.css?v=20260820-1",
@@ -394,8 +407,8 @@
     "/pages/popularity/foundation.css?v=20260820-1",
     "/pages/dragon-tiger/foundation.css?v=20260820-1",
     "/pages/screener/foundation.css?v=20260820-4",
-    "/pages/mentor/foundation.css?v=20260820-2",
-    "/pages/heaven/foundation.css?v=20260806-2",
+    "/pages/mentor/foundation.css?v=20260827-hel183",
+    "/pages/heaven/foundation.css?v=20260827-hel183",
     "/pages/review/foundation.css?v=20260820-4"
   ],
   "frontend_composition": {
@@ -440,8 +453,8 @@
   "code_hotspots": [
     {
       "path": "frontend/pages/heaven/foundation.css",
-      "bytes": 185936,
-      "lines": 11734
+      "bytes": 182616,
+      "lines": 11494
     },
     {
       "path": "frontend/pages/screener/foundation.css",
@@ -450,13 +463,13 @@
     },
     {
       "path": "frontend/pages/heaven/page.js",
-      "bytes": 97189,
-      "lines": 2069
+      "bytes": 97770,
+      "lines": 2079
     },
     {
       "path": "frontend/shared/shell.css",
-      "bytes": 63550,
-      "lines": 3757
+      "bytes": 63733,
+      "lines": 3767
     },
     {
       "path": "backend/features/heaven/engine.py",
@@ -465,8 +478,13 @@
     },
     {
       "path": "frontend/index.html",
-      "bytes": 48037,
-      "lines": 663
+      "bytes": 48403,
+      "lines": 665
+    },
+    {
+      "path": "backend/data/providers/tushare_industries.py",
+      "bytes": 37168,
+      "lines": 859
     },
     {
       "path": "backend/features/screener/catalog.py",
@@ -478,6 +496,11 @@
       "bytes": 35247,
       "lines": 2416
     },
+    {
+      "path": "backend/data/providers/tushare_dashboard.py",
+      "bytes": 33230,
+      "lines": 770
+    },
     {
       "path": "database.py",
       "bytes": 32073,
@@ -488,16 +511,6 @@
       "bytes": 31756,
       "lines": 562
     },
-    {
-      "path": "backend/data/providers/tushare_dashboard.py",
-      "bytes": 28051,
-      "lines": 644
-    },
-    {
-      "path": "backend/data/providers/tushare_industries.py",
-      "bytes": 26540,
-      "lines": 616
-    },
     {
       "path": "backend/features/heaven/manual.py",
       "bytes": 24521,
@@ -505,8 +518,8 @@
     },
     {
       "path": "frontend/pages/heaven/page.html",
-      "bytes": 19747,
-      "lines": 262
+      "bytes": 19885,
+      "lines": 269
     },
     {
       "path": "frontend/pages/screener/page.html",
@@ -515,13 +528,13 @@
     },
     {
       "path": "frontend/pages/market/preview.js",
-      "bytes": 18178,
-      "lines": 446
+      "bytes": 18230,
+      "lines": 447
     },
     {
       "path": "backend/features/heaven/trend.py",
-      "bytes": 16772,
-      "lines": 370
+      "bytes": 17005,
+      "lines": 373
     },
     {
       "path": "backend/features/market/insights_auction_scoring.py",
@@ -530,33 +543,38 @@
     },
     {
       "path": "frontend/pages/market/charts.js",
-      "bytes": 15311,
-      "lines": 387
+      "bytes": 15743,
+      "lines": 401
+    },
+    {
+      "path": "frontend/shared/dashboard.js",
+      "bytes": 15063,
+      "lines": 321
     },
     {
       "path": "frontend/pages/pools/page.html",
       "bytes": 14942,
       "lines": 235
     },
+    {
+      "path": "frontend/shared/admin.js",
+      "bytes": 14836,
+      "lines": 283
+    },
     {
       "path": "backend/features/screener/data_sync.py",
       "bytes": 14743,
       "lines": 342
     },
-    {
-      "path": "frontend/shared/admin.js",
-      "bytes": 14145,
-      "lines": 261
-    },
     {
       "path": "backend/features/heaven/market_context.py",
-      "bytes": 13681,
-      "lines": 338
+      "bytes": 14409,
+      "lines": 354
     },
     {
       "path": "frontend/shared/session.js",
-      "bytes": 12848,
-      "lines": 283
+      "bytes": 13219,
+      "lines": 289
     },
     {
       "path": "backend/features/market/insights_auction_data.py",
@@ -565,8 +583,8 @@
     },
     {
       "path": "backend/features/system/service.py",
-      "bytes": 12392,
-      "lines": 254
+      "bytes": 12180,
+      "lines": 265
     },
     {
       "path": "backend/features/market/insights_auction.py",
@@ -578,11 +596,6 @@
       "bytes": 10539,
       "lines": 244
     },
-    {
-      "path": "frontend/shared/dashboard.js",
-      "bytes": 9993,
-      "lines": 220
-    },
     {
       "path": "backend/data/providers/tushare_sectors.py",
       "bytes": 9876,
@@ -595,9 +608,14 @@
     },
     {
       "path": "frontend/pages/market/entity-detail.js",
-      "bytes": 9119,
+      "bytes": 9139,
       "lines": 199
     },
+    {
+      "path": "backend/data/providers/tushare_daily.py",
+      "bytes": 9076,
+      "lines": 232
+    },
     {
       "path": "backend/data/providers/tushare_dragon_tiger.py",
       "bytes": 9059,
@@ -608,6 +626,11 @@
       "bytes": 8562,
       "lines": 238
     },
+    {
+      "path": "backend/data/providers/tushare_indices.py",
+      "bytes": 8447,
+      "lines": 189
+    },
     {
       "path": "frontend/pages/mentor/page.html",
       "bytes": 8357,
@@ -618,16 +641,6 @@
       "bytes": 6983,
       "lines": 146
     },
-    {
-      "path": "backend/data/providers/tushare_daily.py",
-      "bytes": 6837,
-      "lines": 160
-    },
-    {
-      "path": "backend/application.py",
-      "bytes": 6751,
-      "lines": 178
-    },
     {
       "path": "backend/features/market/insights_popularity.py",
       "bytes": 6739,
@@ -644,8 +657,13 @@
       "lines": 81
     },
     {
-      "path": "backend/data/providers/tushare_stocks.py",
-      "bytes": 6244,
+      "path": "backend/application.py",
+      "bytes": 6399,
+      "lines": 161
+    },
+    {
+      "path": "frontend/pages/market/stock-detail.js",
+      "bytes": 6325,
       "lines": 137
     },
     {
@@ -664,25 +682,20 @@
       "lines": 85
     },
     {
-      "path": "frontend/pages/market/stock-detail.js",
-      "bytes": 5690,
-      "lines": 124
+      "path": "backend/data/providers/tushare_stocks.py",
+      "bytes": 5592,
+      "lines": 123
     },
     {
-      "path": "backend/data/providers/tushare_indices.py",
-      "bytes": 5451,
-      "lines": 118
+      "path": "frontend/pages.config.js",
+      "bytes": 5385,
+      "lines": 130
     },
     {
       "path": "frontend/pages/market/search.js",
       "bytes": 5384,
       "lines": 131
     },
-    {
-      "path": "frontend/pages.config.js",
-      "bytes": 5380,
-      "lines": 130
-    },
     {
       "path": "frontend/pages/auction/page.html",
       "bytes": 5350,
@@ -703,6 +716,11 @@
       "bytes": 4712,
       "lines": 106
     },
+    {
+      "path": "backend/data/providers/tushare_helpers.py",
+      "bytes": 4406,
+      "lines": 124
+    },
     {
       "path": "backend/features/market/routes.py",
       "bytes": 4276,
@@ -768,31 +786,31 @@
       "bytes": 2514,
       "lines": 63
     },
+    {
+      "path": "backend/jobs/service.py",
+      "bytes": 2337,
+      "lines": 59
+    },
     {
       "path": "backend/features/mentor/routes.py",
       "bytes": 2299,
       "lines": 57
     },
+    {
+      "path": "backend/data/providers/tushare_client.py",
+      "bytes": 2263,
+      "lines": 70
+    },
     {
       "path": "backend/features/screener/regime.py",
       "bytes": 2202,
       "lines": 53
     },
-    {
-      "path": "backend/data/providers/tushare_client.py",
-      "bytes": 2166,
-      "lines": 68
-    },
     {
       "path": "frontend/pages/popularity/page.html",
       "bytes": 2165,
       "lines": 35
     },
-    {
-      "path": "backend/data/providers/tushare_helpers.py",
-      "bytes": 2083,
-      "lines": 64
-    },
     {
       "path": "frontend/pages/market/breadth.js",
       "bytes": 2071,
@@ -804,9 +822,14 @@
       "lines": 45
     },
     {
-      "path": "backend/jobs/service.py",
-      "bytes": 1746,
-      "lines": 49
+      "path": "backend/jobs/refresh.py",
+      "bytes": 1808,
+      "lines": 48
+    },
+    {
+      "path": "backend/features/system/routes.py",
+      "bytes": 1791,
+      "lines": 46
     },
     {
       "path": "backend/features/alerts/routes.py",
@@ -818,6 +841,11 @@
       "bytes": 1642,
       "lines": 53
     },
+    {
+      "path": "backend/data/providers/tushare_transport.py",
+      "bytes": 1592,
+      "lines": 50
+    },
     {
       "path": "backend/features/market/insights.py",
       "bytes": 1580,
@@ -828,16 +856,6 @@
       "bytes": 1535,
       "lines": 39
     },
-    {
-      "path": "backend/data/providers/tushare_transport.py",
-      "bytes": 1455,
-      "lines": 48
-    },
-    {
-      "path": "backend/features/system/routes.py",
-      "bytes": 1423,
-      "lines": 40
-    },
     {
       "path": "backend/features/themes/routes.py",
       "bytes": 1337,

config/data-fields.config.json

@@ -2,6 +2,7 @@
   "schema_version": 1,
   "providers": {
     "tushare": {"class": "licensed", "calculation_allowed": true},
+    "datahub": {"class": "licensed", "calculation_allowed": true},
     "ifind": {"class": "licensed", "calculation_allowed": true},
     "eastmoney": {"class": "public_web", "calculation_allowed": false},
     "tencent": {"class": "public_web", "calculation_allowed": false},

config/datahub.config.json

@@ -0,0 +1,25 @@
+{
+  "schema_version": 1,
+  "base_url": "http://127.0.0.1:8766",
+  "timeout_seconds": 8,
+  "retries": 1,
+  "page_limit": 5000,
+  "stale_seconds_max": 86400,
+  "datasets": {
+    "calendar": { "read": true, "shadow": false },
+    "stocks": { "read": true, "shadow": false },
+    "daily": { "read": true, "shadow": false },
+    "index_daily": { "read": true, "shadow": false },
+    "valuation": { "read": true, "shadow": false },
+    "moneyflow": { "read": true, "shadow": false },
+    "auction": { "read": true, "shadow": false },
+    "limit_events": { "read": true, "shadow": false },
+    "popularity": { "read": true, "shadow": false },
+    "dragon_tiger": { "read": true, "shadow": false },
+    "sector_daily": { "read": true, "shadow": false },
+    "quotes": { "read": true, "shadow": false },
+    "index_quotes": { "read": true, "shadow": false },
+    "intraday": { "read": true, "shadow": false },
+    "status": { "read": true, "shadow": false }
+  }
+}

docs/README.md

@@ -32,4 +32,4 @@
 
 - 旧文档不能删：被替代的旧文档开头要加一行「⚠️ 本文档已过时，仅留档备查，请勿删除」，再写新版。
 - 用中文大白话写，专业词要带通俗解释，让不懂代码的人也能看懂。
-- 「问天」板块是冻结区，任何改动都不许碰；写文档时别误导后来人去改它。
+- 「问天」不是永久冻结区：此前只冻结过界面视觉方案，现已解冻。问天可纳入后续数据与功能迁移，不要再写成“永远不碰”。

docs/governance/architecture-inventory.json

@@ -213,12 +213,12 @@
     {
       "provider": "eastmoney",
       "path": "realtime_aggregator.py",
-      "runtime_role": "isolated realtime observation"
+      "runtime_role": "isolated realtime observation and intraday dashboard fallback"
     },
     {
       "provider": "tencent",
       "path": "realtime_aggregator.py",
-      "runtime_role": "index observation fallback"
+      "runtime_role": "index observation and intraday quote fallback"
     }
   ],
   "llm_entrypoints": [

docs/maintenance/行情历史补档.md

@@ -0,0 +1,69 @@
+# 行情历史补档（最近 60 个交易日）
+
+用于修复 `dashboard_snapshots` 断档导致情绪周期 / 主题轮动 / 智能选股只剩当天的问题。
+保留 `latest_contiguous_history` 连续性规则；通过真实交易日历回补缺失交易日快照。
+
+## 适用场景
+
+- 库中已有稀疏历史快照，但最近一个真实交易日缺失，接口 `available_days=1`。
+- 需要可重复执行、可审计、可回退的补档，而不是迁库或放宽算法。
+
+## 前置
+
+1. 使用与线上一致的代码分支。
+2. 管理员账号已配置可用的公共 Tushare Token。
+3. 只操作目标环境自己的 `data/review.db`；禁止 `.36` 与 `.11` 互拷。
+
+## 上线步骤（总工执行）
+
+在目标环境容器内执行（应用根目录；宿主机也可直接跑，脚本已自带仓库根 `sys.path` 引导）：
+
+```bash
+# 1) 只读规划：区分已有、真正缺档；不会写入
+docker compose exec xiaobai-review python tools/backfill_recent_snapshots.py --account <管理员账号> --lookback 60 --dry-run --json
+
+# 2) 正式补档：先走 SQLite backup API 写 data/backups/review-pre-recent-backfill-*.db
+#    再对缺失交易日调用现有 sync_dashboard
+docker compose exec xiaobai-review python tools/backfill_recent_snapshots.py --account <管理员账号> --lookback 60 --json
+
+# 3) 验证
+#    GET /api/sentiment/history?trade_date=YYYY-MM-DD&limit=60
+#    期望 available_days >= 20，且不再只有 1 天
+```
+
+管理端日期区间回补（`/api/backfill`）已改为只处理交易日历中的开市日，周末/节假日会进入
+`skipped_non_trading_days`，不再当成错误；单次仍限制 15 个交易日。最近 60 日请用本工具。
+
+## 写入边界
+
+只会通过现有同步路径写入：
+
+- `dashboard_snapshots`
+- 同步审计表 `sync_runs`
+- 必要时的 `data_snapshots`（仅当请求日被解析到其他交易日）
+
+不得改动用户、Token、模型绑定或系统配置表。
+
+## 回滚
+
+1. 优先按审计结果的 `created_dates` 精确删除新增行：
+
+```sql
+DELETE FROM dashboard_snapshots WHERE trade_date IN ('YYYYMMDD', ...);
+```
+
+2. 若需整库回退，停止写入后用补档前备份覆盖：
+
+```bash
+# 示例：把 data/backups/review-pre-recent-backfill-YYYYMMDD-HHMMSS.db
+# 复制回 data/review.db 后重启容器
+```
+
+3. 代码回退：对该提交执行 Git revert 后重新部署镜像。
+
+## 验收要点
+
+- dry-run 与正式执行可重复跑；已有交易日默认跳过。
+- 周末、节假日出现在 `skipped_non_trading_days`，不计入失败。
+- 部分交易日同步失败时，其他日期仍会继续，并在审计结果中标 `failed`。
+- 情绪周期、主题轮动 9 列、智能选股置信度随连续交易日恢复。

docs/product/小白复盘-完整产品规格说明书.md

@@ -320,6 +320,11 @@ PC端统一采用以下固定骨架：
 
 ### 6.1 数据源职责
 
+运行边界：下表中的职责全部由独立的 `xiaobai-datahub` 数据中枢执行。主网站只按固定业务
+协议请求“行情、日K、分时、申万、竞价”等数据，不接触任何提供方参数或凭据，也不决定优先级、
+重试、降级和回填。数据中枢是主网站唯一的行情出口；中枢暂时取不到新数据时，网站只能读取
+已经归档的真实快照，不能绕回旧提供方直连接口。
+
 | 数据源 | 可用于正式计算 | 主要职责 |
 |---|:---:|---|
 | Tushare | 是 | 交易日历、股票主表、日线、估值、财务、资金流、申万行业、涨跌停、9:25竞价、热榜、龙虎榜 |

docs/任务清单.md

@@ -7,6 +7,7 @@
 | 任务 | 说明 | 状态 |
 |---|---|---|
 | 全站视觉统一改造收尾 | 主线。17 个阶段已完成，正在最终验收、代码合并 | 收尾中 |
+| 行情刷新误报与旧数据提示 | HEL-412：高级接口未到齐不再记整次失败；今日正式数据晚到时提示当前展示日期 | 施工中 |
 | 手机端独立重新设计 | 先出视觉/交互规范和技术架构方案，等老板确认后再施工 | 方案送审中 |
 
 ## 已做完

docs/项目需求.md

@@ -29,11 +29,11 @@
 - **智能工具类（3 个）**：智能选股、问师、问天。
 - **个人类（1 个）**：我的复盘。
 
-其中「问天」是冻结区（见下面的硬规矩）。
+其中「问天」此前只在全站视觉改造阶段冻结过界面方案，现已解冻；问天可以纳入后续数据与功能迁移，但不等于本阶段要重做视觉。
 
 ## 几条硬规矩（不能破坏的边界）
 
-- 「问天」板块是**冻结区**，任何改动都不许碰它。
+- 「问天」板块**不是永久冻结区**：此前冻结的是界面视觉方案，现已解冻。问天现有功能与界面不要破坏；后续数据与功能迁移可以纳入，不主动重做视觉。
 - **不用假数据冒充真行情**；数据缺失就明说“没有/不可用”，不能编。
 - **每个用户自己的数据互相隔离**（自选、复盘、对话、问天历史等），看不到别人的。
 - **计算由程序确定性完成**（情绪周期、智能选股、问天排盘等），AI 大模型（LLM，就是会聊天的那个 AI）只负责解释或编译自然语言条件，不能改计算结果。

frontend/index.html

@@ -34,11 +34,11 @@
       document.documentElement.style.colorScheme = theme;
     })();
   </script>
-  <link rel="stylesheet" href="/shared/tokens.css?v=20260829-1">
+  <link rel="stylesheet" href="/shared/tokens.css?v=20260829-hel240">
   <link rel="stylesheet" href="/shared/base.css?v=20260806-1">
-  <link rel="stylesheet" href="/shared/shell.css?v=20260820-8">
-  <link rel="stylesheet" href="/shared/auth.css?v=20260829-1">
-  <link rel="stylesheet" href="/shared/components/controls.css?v=20260820-2">
+  <link rel="stylesheet" href="/shared/shell.css?v=20260829-hel237">
+  <link rel="stylesheet" href="/shared/auth.css?v=20260829-hel240b">
+  <link rel="stylesheet" href="/shared/components/controls.css?v=20260829-hel237">
   <link rel="stylesheet" href="/shared/components/navigation.css?v=20260820-1">
   <link rel="stylesheet" href="/shared/components/cards.css?v=20260820-1">
   <link rel="stylesheet" href="/shared/components/tables.css?v=20260820-1">
@@ -54,8 +54,8 @@
   <link rel="stylesheet" href="/pages/popularity/foundation.css?v=20260820-1">
   <link rel="stylesheet" href="/pages/dragon-tiger/foundation.css?v=20260820-1">
   <link rel="stylesheet" href="/pages/screener/foundation.css?v=20260820-4">
-  <link rel="stylesheet" href="/pages/mentor/foundation.css?v=20260820-2">
-  <link rel="stylesheet" href="/pages/heaven/foundation.css?v=20260806-2">
+  <link rel="stylesheet" href="/pages/mentor/foundation.css?v=20260827-hel183">
+  <link rel="stylesheet" href="/pages/heaven/foundation.css?v=20260827-hel183">
   <link rel="stylesheet" href="/pages/review/foundation.css?v=20260820-4">
 </head>
 <body>
@@ -607,11 +607,13 @@
     <div class="admin-panel" data-admin-panel="market">
       <form id="systemMarketForm" class="settings-section">
         <div class="settings-section-heading"><h3>公共行情</h3><span id="systemDataStatus">待检查</span></div>
-        <label class="form-field"><span>Tushare Token</span><input id="systemTokenInput" type="password" autocomplete="off" minlength="20" placeholder="留空保留现有 Token"></label>
-        <label class="form-field"><span>iFinD Refresh Token</span><input id="systemIfindTokenInput" type="password" autocomplete="off" maxlength="2048" placeholder="留空保留现有 Token"></label>
+        <label class="form-field"><span>行情来源凭据</span><input id="systemTokenInput" type="text" value="请在数据中枢后台统一管理" disabled></label>
+        <label class="form-field"><span>实时来源凭据</span><input id="systemIfindTokenInput" type="text" value="请在数据中枢后台统一管理" disabled></label>
         <label class="switch-control"><input id="systemBackgroundRefresh" type="checkbox"><span>启用交易时段后台刷新</span></label>
         <p class="form-hint">所有用户读取同一份后台快照，页面不会随后台任务自动重绘。</p>
-        <div class="dialog-actions admin-inline-actions"><button id="adminRefreshButton" class="button" type="button"><i data-lucide="refresh-cw"></i>立即后台刷新</button><button class="button primary" type="submit">保存行情配置</button></div>
+        <div id="datahubRouteStatus" class="admin-refresh-status" data-tone="idle" role="status" aria-live="polite"><i data-lucide="database"></i><span>数据中枢线路待检查</span></div>
+        <div id="adminRefreshStatus" class="admin-refresh-status" data-tone="idle" role="status" aria-live="polite"><i data-lucide="circle-dot"></i><span>尚未手动刷新</span></div>
+        <div class="dialog-actions admin-inline-actions"><button id="adminRefreshButton" class="button" type="button"><i data-lucide="refresh-cw"></i>立即后台刷新</button><button class="button primary" type="submit">保存刷新设置</button></div>
       </form>
       <section class="settings-section">
         <div class="settings-section-heading"><h3>历史数据回补</h3><span>管理员任务</span></div>

frontend/login/index.html

@@ -19,41 +19,144 @@
       document.documentElement.style.colorScheme = theme;
     })();
   </script>
-  <link rel="stylesheet" href="/shared/tokens.css?v=20260829-1">
+  <link rel="stylesheet" href="/shared/tokens.css?v=20260829-hel251">
   <link rel="stylesheet" href="/shared/base.css?v=20260806-1">
-  <link rel="stylesheet" href="/shared/auth.css?v=20260829-1">
+  <link rel="stylesheet" href="/shared/auth.css?v=20260829-hel251">
   <link rel="stylesheet" href="/shared/components/controls.css?v=20260820-2">
 </head>
 <body class="login-portal">
-  <button id="loginThemeToggle" class="login-theme-toggle" type="button">🌙 夜间</button>
   <aside class="login-brand" aria-hidden="true">
-    <div class="login-brand-mark"><span class="login-brand-glyph">复</span></div>
-    <p class="login-brand-kicker">收盘之后 · 复盘开始</p>
-    <h1 class="login-brand-title">小白复盘</h1>
-    <p class="login-brand-lead">看懂情绪周期，把复盘变成下一次的先手。</p>
-    <dl class="login-brand-stats">
-      <div class="login-stat">
-        <dt>市场情绪</dt>
-        <dd>72 <span class="login-stat-tag">高热</span></dd>
+    <div class="login-brand-header">
+      <div class="login-brand-mark"><span class="login-brand-glyph">复</span></div>
+      <div class="login-brand-identity">
+        <p class="login-brand-name">小白复盘</p>
+        <p class="login-brand-subtitle">A股个人复盘工作台</p>
       </div>
-      <div class="login-stat">
-        <dt>涨停</dt>
-        <dd>63</dd>
+    </div>
+    <div class="login-mascots" id="loginMascots" aria-hidden="true" data-mood="idle">
+      <div class="login-mascots-stage">
+        <div class="login-mascot is-red">
+          <div class="login-mascot-breathe">
+            <div class="login-mascot-lean">
+              <svg class="login-mascot-figure" viewBox="0 0 96 210" focusable="false">
+                <ellipse class="login-mascot-shadow" cx="48" cy="200" rx="26" ry="5.5"></ellipse>
+                <line class="login-mascot-wick" x1="48" y1="10" x2="48" y2="50"></line>
+                <rect class="login-mascot-body" x="16" y="50" width="64" height="126" rx="14"></rect>
+                <line class="login-mascot-wick" x1="48" y1="176" x2="48" y2="190"></line>
+                <g class="login-mascot-face">
+                  <circle class="login-mascot-eye" cx="36" cy="94" r="10"></circle>
+                  <circle class="login-mascot-eye" cx="60" cy="94" r="10"></circle>
+                  <circle class="login-mascot-pupil" cx="36" cy="94" r="4.2"></circle>
+                  <circle class="login-mascot-pupil" cx="60" cy="94" r="4.2"></circle>
+                  <rect class="login-mascot-lid" x="24" y="82" width="48" height="24" rx="10"></rect>
+                  <path class="login-mascot-happy" d="M28 96 Q36 88 44 96"></path>
+                  <path class="login-mascot-happy" d="M52 96 Q60 88 68 96"></path>
+                  <circle class="login-mascot-sad" cx="36" cy="96" r="2.2"></circle>
+                  <circle class="login-mascot-sad" cx="60" cy="96" r="2.2"></circle>
+                </g>
+                <ellipse class="login-mascot-arm is-left" cx="16" cy="128" rx="8" ry="5.5"></ellipse>
+                <ellipse class="login-mascot-arm is-right" cx="80" cy="128" rx="8" ry="5.5"></ellipse>
+                <ellipse class="login-mascot-hand is-left" cx="16" cy="128" rx="9" ry="7"></ellipse>
+                <ellipse class="login-mascot-hand is-right" cx="80" cy="128" rx="9" ry="7"></ellipse>
+              </svg>
+            </div>
+          </div>
+        </div>
+        <div class="login-mascot is-green">
+          <div class="login-mascot-breathe">
+            <div class="login-mascot-lean">
+              <div class="login-mascot-figure">
+                <svg class="login-mascot-front" viewBox="0 0 84 175" focusable="false">
+                  <ellipse class="login-mascot-shadow" cx="42" cy="166" rx="22" ry="4.5"></ellipse>
+                  <line class="login-mascot-wick" x1="42" y1="8" x2="42" y2="42"></line>
+                  <rect class="login-mascot-body" x="15" y="42" width="54" height="104" rx="12"></rect>
+                  <line class="login-mascot-wick" x1="42" y1="146" x2="42" y2="158"></line>
+                  <g class="login-mascot-face">
+                    <circle class="login-mascot-eye" cx="32" cy="76" r="8.5"></circle>
+                    <circle class="login-mascot-eye" cx="52" cy="76" r="8.5"></circle>
+                    <circle class="login-mascot-pupil" cx="32" cy="76" r="3.6"></circle>
+                    <circle class="login-mascot-pupil" cx="52" cy="76" r="3.6"></circle>
+                    <rect class="login-mascot-lid" x="22" y="66" width="40" height="20" rx="8"></rect>
+                    <path class="login-mascot-happy" d="M25 78 Q32 71 39 78"></path>
+                    <path class="login-mascot-happy" d="M45 78 Q52 71 59 78"></path>
+                    <circle class="login-mascot-sad" cx="32" cy="78" r="1.9"></circle>
+                    <circle class="login-mascot-sad" cx="52" cy="78" r="1.9"></circle>
+                  </g>
+                  <ellipse class="login-mascot-arm is-left" cx="15" cy="108" rx="7" ry="4.5"></ellipse>
+                  <ellipse class="login-mascot-arm is-right" cx="69" cy="108" rx="7" ry="4.5"></ellipse>
+                </svg>
+                <svg class="login-mascot-back" viewBox="0 0 84 175" focusable="false">
+                  <ellipse class="login-mascot-shadow" cx="42" cy="166" rx="22" ry="4.5"></ellipse>
+                  <line class="login-mascot-wick" x1="42" y1="8" x2="42" y2="42"></line>
+                  <rect class="login-mascot-body" x="15" y="42" width="54" height="104" rx="12"></rect>
+                  <line class="login-mascot-wick" x1="42" y1="146" x2="42" y2="158"></line>
+                  <rect class="login-mascot-slit" x="40.5" y="58" width="3" height="72" rx="1.5"></rect>
+                  <ellipse class="login-mascot-arm is-left" cx="15" cy="108" rx="7" ry="4.5"></ellipse>
+                  <ellipse class="login-mascot-arm is-right" cx="69" cy="108" rx="7" ry="4.5"></ellipse>
+                </svg>
+              </div>
+            </div>
+          </div>
+        </div>
       </div>
-      <div class="login-stat">
-        <dt>跌停</dt>
-        <dd>4</dd>
-      </div>
-      <div class="login-stat">
-        <dt>两市成交</dt>
-        <dd>1.02万亿</dd>
-      </div>
-    </dl>
+    </div>
+    <div class="login-brand-copy">
+      <p class="login-brand-kicker">收盘之后 · 复盘开始</p>
+      <h1 class="login-brand-title">看懂情绪周期，把复盘变成下一次的先手。</h1>
+      <p class="login-brand-lead">情绪周期、涨停梯队、主题轮动、竞价、龙虎榜、人气榜、交易复盘，集中在一个安静的复盘空间。</p>
+    </div>
+    <div class="login-brand-market">
+      <svg class="login-brand-chart" viewBox="0 0 480 168" focusable="false">
+        <defs>
+          <linearGradient id="loginChartFade" x1="0" x2="0" y1="0" y2="1">
+            <stop offset="0%" stop-color="#d7e4ff" stop-opacity="0.18"></stop>
+            <stop offset="100%" stop-color="#d7e4ff" stop-opacity="0"></stop>
+          </linearGradient>
+        </defs>
+        <path class="login-chart-area" d="M8 118 C 52 108, 78 96, 112 102 S 168 128, 204 112 S 268 78, 312 86 S 372 118, 428 92 L 472 84 L 472 168 L 8 168 Z"></path>
+        <g class="login-candles">
+          <g class="is-up" transform="translate(36 0)"><line x1="8" y1="58" x2="8" y2="128"></line><rect x="2" y="72" width="12" height="40"></rect></g>
+          <g class="is-down" transform="translate(68 0)"><line x1="8" y1="64" x2="8" y2="132"></line><rect x="2" y="86" width="12" height="28"></rect></g>
+          <g class="is-up" transform="translate(100 0)"><line x1="8" y1="48" x2="8" y2="118"></line><rect x="2" y="60" width="12" height="44"></rect></g>
+          <g class="is-down" transform="translate(132 0)"><line x1="8" y1="70" x2="8" y2="136"></line><rect x="2" y="92" width="12" height="26"></rect></g>
+          <g class="is-up" transform="translate(164 0)"><line x1="8" y1="42" x2="8" y2="110"></line><rect x="2" y="54" width="12" height="38"></rect></g>
+          <g class="is-up" transform="translate(196 0)"><line x1="8" y1="36" x2="8" y2="98"></line><rect x="2" y="48" width="12" height="32"></rect></g>
+          <g class="is-down" transform="translate(228 0)"><line x1="8" y1="58" x2="8" y2="128"></line><rect x="2" y="78" width="12" height="36"></rect></g>
+          <g class="is-up" transform="translate(260 0)"><line x1="8" y1="40" x2="8" y2="104"></line><rect x="2" y="52" width="12" height="36"></rect></g>
+          <g class="is-down" transform="translate(292 0)"><line x1="8" y1="66" x2="8" y2="134"></line><rect x="2" y="88" width="12" height="30"></rect></g>
+          <g class="is-up" transform="translate(324 0)"><line x1="8" y1="44" x2="8" y2="112"></line><rect x="2" y="58" width="12" height="40"></rect></g>
+          <g class="is-down" transform="translate(356 0)"><line x1="8" y1="72" x2="8" y2="138"></line><rect x="2" y="96" width="12" height="24"></rect></g>
+          <g class="is-up" transform="translate(388 0)"><line x1="8" y1="38" x2="8" y2="108"></line><rect x="2" y="50" width="12" height="42"></rect></g>
+          <g class="is-up" transform="translate(420 0)"><line x1="8" y1="32" x2="8" y2="96"></line><rect x="2" y="44" width="12" height="34"></rect></g>
+        </g>
+        <path class="login-chart-line" d="M8 118 C 52 108, 78 96, 112 102 S 168 128, 204 112 S 268 78, 312 86 S 372 118, 428 92 L 472 84"></path>
+      </svg>
+      <dl class="login-brand-stats">
+        <div class="login-stat">
+          <dt>市场情绪</dt>
+          <dd>72 <span class="login-stat-tag">高热</span></dd>
+        </div>
+        <div class="login-stat">
+          <dt>涨停</dt>
+          <dd>63</dd>
+        </div>
+        <div class="login-stat">
+          <dt>跌停</dt>
+          <dd>4</dd>
+        </div>
+        <div class="login-stat login-stat-wide">
+          <dt>两市成交</dt>
+          <dd>1.02万亿</dd>
+        </div>
+      </dl>
+    </div>
+    <p class="login-brand-disclaimer">股市有风险，投资需谨慎 · 本工具仅供个人复盘学习使用</p>
   </aside>
   <main class="login-stage">
+    <button id="loginThemeToggle" class="login-theme-toggle" type="button">🌙 夜间</button>
     <section class="login-card" id="loginCard" aria-live="polite"></section>
   </main>
   <script src="/shared/api.js?v=20260803-2"></script>
-  <script src="/login/page.js?v=20260829-1"></script>
+  <script src="/login/page.js?v=20260829-hel251"></script>
 </body>
 </html>

frontend/login/page.js

@@ -13,6 +13,9 @@
     loading: false,
     confirmingId: null,
     error: "",
+    username: "",
+    password: "",
+    passwordVisible: false,
   };
 
   function escapeHtml(value) {
@@ -52,48 +55,90 @@
     state.error = message || "";
   }
 
-  function membershipLabel(account) {
-    if (account.role === "admin") return account.membership?.subscribed ? "管理员 · 会员" : "管理员";
-    return account.membership?.subscribed ? "会员" : "普通用户";
+  function formatLastUsed(value) {
+    if (!value) return "";
+    const parsed = new Date(value);
+    if (Number.isNaN(parsed.getTime())) return "";
+    const now = new Date();
+    const hh = String(parsed.getHours()).padStart(2, "0");
+    const mm = String(parsed.getMinutes()).padStart(2, "0");
+    if (parsed.toDateString() === now.toDateString()) return `今天 ${hh}:${mm}`;
+    const yesterday = new Date(now);
+    yesterday.setDate(now.getDate() - 1);
+    if (parsed.toDateString() === yesterday.toDateString()) return `昨天 ${hh}:${mm}`;
+    return `${parsed.getMonth() + 1}月${parsed.getDate()}日`;
+  }
+
+  function chipsFor(account, current) {
+    const chips = [];
+    if (current) chips.push('<span class="login-chip login-chip-current">当前</span>');
+    if (account.role === "admin") chips.push('<span class="login-chip">管理员</span>');
+    if (account.membership?.subscribed) chips.push('<span class="login-chip login-chip-member">会员</span>');
+    else if (account.role !== "admin") chips.push('<span class="login-chip">普通用户</span>');
+    return chips.join("");
+  }
+
+  function returnPath() {
+    const raw = new URLSearchParams(global.location.search).get("next") || "";
+    if (!raw) return "/";
+    try {
+      const url = new URL(raw, global.location.origin);
+      if (url.origin !== global.location.origin) return "/";
+      const path = url.pathname || "/";
+      if (path === "/login" || path.startsWith("/login/")) return "/";
+      return `${path}${url.search}${url.hash}` || "/";
+    } catch (_error) {
+      return "/";
+    }
   }
 
   function enterApp() {
-    const next = new URLSearchParams(global.location.search).get("next");
-    global.location.replace(next && next.startsWith("/") ? next : "/");
+    global.location.replace(returnPath());
   }
 
   function formMarkup(options) {
     const registering = state.mode === "register";
     const submitLabel = options.submitLabel
       || (state.loading ? "正在登录..." : registering ? "注册并进入" : options.add ? "添加并进入" : "登录");
+    const lead = options.lead;
+    const hint = options.hint;
+    const invalid = state.error ? " is-invalid" : "";
+    const passwordType = state.passwordVisible ? "text" : "password";
+    const passwordToggle = state.passwordVisible ? "隐藏" : "显示";
     return [
       options.back
         ? '<button class="login-back" type="button" data-login-action="picker">返回账号列表</button>'
         : "",
       `<h2 class="login-card-title">${escapeHtml(options.title)}</h2>`,
-      `<p class="login-card-lead">${escapeHtml(options.lead)}</p>`,
+      `<p class="login-card-lead">${escapeHtml(lead)}</p>`,
       '<div class="login-tabs" role="tablist">',
       `<button class="login-tab${state.mode === "login" ? " is-active" : ""}" type="button" data-auth-mode="login">登录</button>`,
       `<button class="login-tab${state.mode === "register" ? " is-active" : ""}" type="button" data-auth-mode="register">注册</button>`,
       "</div>",
       '<form class="login-form" id="loginForm">',
-      '<label class="form-field"><span>账号名</span><input id="loginUsername" type="text" minlength="3" maxlength="30" autocomplete="username" required></label>',
-      `<label class="form-field"><span>密码</span><input id="loginPassword" type="password" minlength="8" maxlength="128" autocomplete="${registering ? "new-password" : "current-password"}" required></label>`,
+      `<label class="form-field"><span>账号名</span><input id="loginUsername" type="text" minlength="3" maxlength="30" autocomplete="username" placeholder="请输入账号名" value="${escapeHtml(state.username)}" required></label>`,
+      `<label class="form-field"><span>密码</span><span class="login-password-wrap"><input id="loginPassword" class="${invalid.trim()}" type="${passwordType}" minlength="8" maxlength="128" autocomplete="${registering ? "new-password" : "current-password"}" placeholder="请输入密码" value="${escapeHtml(state.password)}" required><button class="login-password-toggle" type="button" data-login-action="toggle-password" aria-pressed="${state.passwordVisible ? "true" : "false"}" aria-label="${state.passwordVisible ? "隐藏密码" : "显示密码"}">${passwordToggle}</button></span></label>`,
       `<label class="form-field" id="loginConfirmField"${registering ? "" : " hidden"}><span>确认密码</span><input id="loginPasswordConfirm" type="password" minlength="8" maxlength="128" autocomplete="new-password"${registering ? " required" : ""}></label>`,
       state.error ? `<p class="login-error">${escapeHtml(state.error)}</p>` : '<p class="login-error" hidden></p>',
       `<button class="button primary login-submit" type="submit"${state.loading ? " disabled" : ""}>`,
       state.loading ? '<span class="login-spinner" aria-hidden="true"></span>' : "",
       `<span>${escapeHtml(submitLabel)}</span></button>`,
       "</form>",
-      '<p class="login-hint">密码连续输错 5 次将锁定 10 分钟。还没有账号？切换到「注册」创建。</p>',
+      `<p class="login-hint">${escapeHtml(hint)}</p>`,
     ].join("");
   }
 
   function accountRow(account) {
     const current = Number(account.user_id) === Number(state.currentUserId);
     const confirming = Number(state.confirmingId) === Number(account.user_id);
-    const classes = `login-account-row${current ? " is-current" : ""}${confirming ? " is-confirming" : ""}`;
-    if (state.view === "manage" && confirming) {
+    const managing = state.view === "manage";
+    const classes = [
+      "login-account-row",
+      current ? "is-current" : "",
+      confirming ? "is-confirming" : "",
+      !managing ? "is-switchable" : "",
+    ].filter(Boolean).join(" ");
+    if (managing && confirming) {
       return [
         `<div class="${classes}" data-user-id="${account.user_id}">`,
         `<p class="login-confirm-copy">移除「${escapeHtml(account.username)}」的本机记录？</p>`,
@@ -103,16 +148,25 @@
         "</div></div>",
       ].join("");
     }
-    const action = state.view === "manage"
-      ? `<button class="login-account-remove" type="button" data-confirm-id="${account.user_id}">移除</button>`
+    const glyph = escapeHtml(String(account.username || "账").slice(0, 1));
+    const tone = Number(account.user_id || 0) % 4;
+    const used = formatLastUsed(account.last_used_at);
+    const action = managing
+      ? `<button class="login-account-remove" type="button" data-confirm-id="${account.user_id}" aria-label="移除 ${escapeHtml(account.username)}"><svg width="16" height="16" viewBox="0 0 16 16" aria-hidden="true"><path fill="currentColor" d="M6 2h4l.5 1H14v1H2V3h3.5L6 2zm1 4v6H6V6h1zm3 0v6H9V6h1zM3.5 5H13l-.7 8.2A1.5 1.5 0 0 1 10.81 14H5.19a1.5 1.5 0 0 1-1.49-1.8L3.5 5z"></path></svg></button>`
       : current
-        ? '<span class="login-account-check" aria-hidden="true">✓</span>'
-        : `<button class="login-account-enter" type="button" data-switch-id="${account.user_id}">进入</button>`;
+        ? '<span class="login-account-action"><span class="login-account-check" aria-hidden="true">✓</span>继续使用</span>'
+        : "";
+    const switchAttr = !managing && !current ? ` data-switch-id="${account.user_id}"` : "";
+    const resumeAttr = !managing && current ? ` data-resume-id="${account.user_id}"` : "";
     return [
-      `<div class="${classes}" data-user-id="${account.user_id}">`,
+      `<div class="${classes}" data-user-id="${account.user_id}"${switchAttr}${resumeAttr}>`,
+      `<span class="login-avatar tone-${tone}" aria-hidden="true">${glyph}</span>`,
       '<div class="login-account-meta">',
+      '<div class="login-account-name">',
       `<strong>${escapeHtml(account.username)}</strong>`,
-      `<span>${escapeHtml(membershipLabel(account))}${current ? " · 当前" : ""}</span>`,
+      chipsFor(account, current),
+      "</div>",
+      used ? `<span class="login-account-used">上次登录 ${escapeHtml(used)}</span>` : "",
       "</div>",
       action,
       "</div>",
@@ -123,10 +177,15 @@
     const count = state.accounts.length;
     const managing = state.view === "manage";
     return [
-      `<h2 class="login-card-title">${managing ? "管理账号记录" : "选择账号"}</h2>`,
-      `<p class="login-card-lead">这台电脑已记录 ${count} 个账号，可直接进入，无需再次输入密码。</p>`,
       managing
-        ? '<button class="login-manage" type="button" data-login-action="picker">完成</button>'
+        ? ""
+        : '<button class="login-back" type="button" data-login-action="resume">返回复盘</button>',
+      `<h2 class="login-card-title">${managing ? "管理账号记录" : "选择账号"}</h2>`,
+      `<p class="login-card-lead">${managing
+        ? "移除只删除这台电脑上的登录记录，不会注销账号"
+        : `这台电脑已记录 ${count} 个账号，点选即可进入，无需再次输入密码。`}</p>`,
+      managing
+        ? '<div class="login-manage-toolbar"><p class="login-manage-hint">点击右侧图标移除对应记录</p><button class="login-manage-done" type="button" data-login-action="picker">完成</button></div>'
         : "",
       `<div class="login-account-list">${state.accounts.map(accountRow).join("")}</div>`,
       managing
@@ -136,7 +195,9 @@
         ? ""
         : '<button class="login-manage" type="button" data-login-action="manage">管理已记录的账号</button>',
       state.error ? `<p class="login-error">${escapeHtml(state.error)}</p>` : "",
-      '<p class="login-privacy"><span class="login-lock" aria-hidden="true">🔒</span>账号记录仅保存在这台电脑的浏览器中</p>',
+      managing
+        ? '<p class="login-privacy"><span class="login-lock" aria-hidden="true">🔒</span>移除后再次登录该账号需重新输入密码</p>'
+        : '<p class="login-privacy"><span class="login-lock" aria-hidden="true">🔒</span>账号记录仅保存在这台电脑的浏览器中</p>',
     ].join("");
   }
 
@@ -145,7 +206,10 @@
     if (state.view === "first" || state.view === "add") {
       card.innerHTML = formMarkup({
         title: state.view === "add" ? "添加账号" : "欢迎回来",
-        lead: "登录后进入你的复盘空间",
+        lead: state.view === "add" ? "登录另一个账号，添加后可随时一键切换" : "登录后进入你的复盘空间",
+        hint: state.view === "add"
+          ? "添加后账号会保存在这台电脑，方便随时切换。"
+          : "密码连续输错 5 次将锁定 10 分钟。还没有账号？切换到「注册」创建。",
         add: state.view === "add",
         back: state.view === "add",
       });
@@ -153,6 +217,7 @@
       card.innerHTML = pickerMarkup();
     }
     bindCard();
+    if (mascots) mascots.sync();
   }
 
   function bindCard() {
@@ -166,6 +231,14 @@
     card.querySelectorAll("[data-login-action]").forEach((button) => {
       button.addEventListener("click", () => {
         const action = button.dataset.loginAction;
+        if (action === "toggle-password") {
+          togglePasswordVisible();
+          return;
+        }
+        if (action === "resume") {
+          resumeCurrentAccount();
+          return;
+        }
         if (action === "picker") {
           state.view = state.accounts.length ? "picker" : "first";
           state.confirmingId = null;
@@ -184,8 +257,12 @@
     card.querySelectorAll("[data-switch-id]").forEach((button) => {
       button.addEventListener("click", () => switchAccount(Number(button.dataset.switchId)));
     });
+    card.querySelectorAll("[data-resume-id]").forEach((button) => {
+      button.addEventListener("click", () => resumeCurrentAccount());
+    });
     card.querySelectorAll("[data-confirm-id]").forEach((button) => {
-      button.addEventListener("click", () => {
+      button.addEventListener("click", (event) => {
+        event.stopPropagation();
         state.confirmingId = Number(button.dataset.confirmId);
         render();
       });
@@ -212,6 +289,8 @@
     event.preventDefault();
     const username = document.querySelector("#loginUsername").value.trim();
     const password = document.querySelector("#loginPassword").value;
+    state.username = username;
+    state.password = password;
     if (state.mode === "register" && password !== document.querySelector("#loginPasswordConfirm").value) {
       setError("两次输入的密码不一致。");
       render();
@@ -222,11 +301,13 @@
     render();
     try {
       await api.request(`/api/auth/${state.mode}`, "POST", { username, password });
+      await celebrateLogin();
       enterApp();
     } catch (error) {
       state.loading = false;
       setError(error.message || "账号操作失败");
       render();
+      mascots.fail();
     }
   }
 
@@ -244,6 +325,27 @@
     }
   }
 
+  async function resumeCurrentAccount() {
+    state.loading = true;
+    setError("");
+    render();
+    try {
+      const session = await api.request("/api/auth/me");
+      const sessionUserId = session.user?.id;
+      const matches = Boolean(session.authenticated) && (
+        !state.currentUserId || Number(sessionUserId) === Number(state.currentUserId)
+      );
+      if (!matches) {
+        throw new Error("当前会话已失效，请重新登录");
+      }
+      enterApp();
+    } catch (error) {
+      state.loading = false;
+      setError(error.message || "当前会话已失效，请重新登录");
+      render();
+    }
+  }
+
   async function forgetAccount(userId) {
     try {
       await api.request("/api/auth/forget", "POST", { user_id: userId });
@@ -258,6 +360,241 @@
     }
   }
 
+  function togglePasswordVisible() {
+    state.passwordVisible = !state.passwordVisible;
+    const input = document.querySelector("#loginPassword");
+    const button = document.querySelector(".login-password-toggle");
+    if (input) {
+      input.type = state.passwordVisible ? "text" : "password";
+      input.focus();
+    }
+    if (button) {
+      button.textContent = state.passwordVisible ? "隐藏" : "显示";
+      button.setAttribute("aria-pressed", state.passwordVisible ? "true" : "false");
+      button.setAttribute("aria-label", state.passwordVisible ? "隐藏密码" : "显示密码");
+    }
+    mascots.sync();
+  }
+
+  function reducedMotion() {
+    return Boolean(global.matchMedia && global.matchMedia("(prefers-reduced-motion: reduce)").matches);
+  }
+
+  function finePointer() {
+    return Boolean(global.matchMedia && global.matchMedia("(pointer: fine)").matches);
+  }
+
+  function wait(ms) {
+    return new Promise((resolve) => global.setTimeout(resolve, ms));
+  }
+
+  async function celebrateLogin() {
+    mascots.succeed();
+    if (!reducedMotion()) await wait(720);
+  }
+
+  const mascots = (() => {
+    const root = document.querySelector("#loginMascots");
+    const red = root && root.querySelector(".login-mascot.is-red");
+    const green = root && root.querySelector(".login-mascot.is-green");
+    const motion = {
+      pupilX: 0,
+      pupilY: 0,
+      targetX: 0,
+      targetY: 0,
+      leanRed: 0,
+      leanGreen: 0,
+      targetLeanRed: 0,
+      targetLeanGreen: 0,
+    };
+    let mood = "idle";
+    let locked = "";
+    let blinkTimer = 0;
+    let failTimer = 0;
+    let raf = 0;
+
+    function setVars() {
+      if (!red || !green) return;
+      const pupilX = `${motion.pupilX.toFixed(2)}px`;
+      const pupilY = `${motion.pupilY.toFixed(2)}px`;
+      red.style.setProperty("--pupil-x", pupilX);
+      red.style.setProperty("--pupil-y", pupilY);
+      green.style.setProperty("--pupil-x", pupilX);
+      green.style.setProperty("--pupil-y", pupilY);
+      red.style.setProperty("--lean", `${motion.leanRed.toFixed(2)}deg`);
+      green.style.setProperty("--lean", `${motion.leanGreen.toFixed(2)}deg`);
+    }
+
+    function poseFor(next) {
+      if (next === "account" || next === "busy") {
+        motion.targetX = 3.2;
+        motion.targetY = 0.8;
+        motion.targetLeanRed = 7;
+        motion.targetLeanGreen = 5.6;
+        return;
+      }
+      if (next === "password") {
+        motion.targetX = 0;
+        motion.targetY = 0;
+        motion.targetLeanRed = 0;
+        motion.targetLeanGreen = 0;
+        return;
+      }
+      if (next === "fail") {
+        motion.targetX = 0;
+        motion.targetY = 2.8;
+        motion.targetLeanRed = 8;
+        motion.targetLeanGreen = 8;
+        return;
+      }
+      if (next === "success") {
+        motion.targetX = 0;
+        motion.targetY = 0;
+        motion.targetLeanRed = 0;
+        motion.targetLeanGreen = 0;
+        return;
+      }
+      if (!finePointer()) {
+        motion.targetX = 2.4;
+        motion.targetY = 0.4;
+        motion.targetLeanRed = 4;
+        motion.targetLeanGreen = 3.2;
+        return;
+      }
+      motion.targetLeanRed = 0;
+      motion.targetLeanGreen = 0;
+    }
+
+    function applyMood(next) {
+      if (!root) return;
+      const changed = next !== mood;
+      if (changed) {
+        mood = next;
+        root.dataset.mood = next;
+        poseFor(next);
+      } else if (next !== "idle") {
+        poseFor(next);
+      }
+      if (reducedMotion()) {
+        motion.pupilX = motion.targetX;
+        motion.pupilY = motion.targetY;
+        motion.leanRed = motion.targetLeanRed;
+        motion.leanGreen = motion.targetLeanGreen;
+        setVars();
+      }
+    }
+
+    function focusedControl() {
+      const active = document.activeElement;
+      if (!active || !card.contains(active)) return "";
+      if (active.classList.contains("login-password-toggle")) return "loginPassword";
+      return active.id || "";
+    }
+
+    function desiredMood() {
+      if (locked === "success") return "success";
+      if (state.loading) return "busy";
+      const focused = focusedControl();
+      if (focused === "loginPassword" || focused === "loginPasswordConfirm") return "password";
+      if (focused === "loginUsername") return "account";
+      if (locked === "fail") return "fail";
+      return "idle";
+    }
+
+    function sync() {
+      applyMood(desiredMood());
+    }
+
+    function succeed() {
+      locked = "success";
+      applyMood("success");
+    }
+
+    function fail() {
+      locked = "fail";
+      applyMood("fail");
+      global.clearTimeout(failTimer);
+      failTimer = global.setTimeout(() => {
+        if (locked === "fail") locked = "";
+        sync();
+      }, 900);
+    }
+
+    function blink() {
+      if (!root || reducedMotion()) return;
+      if (mood !== "idle" && mood !== "account" && mood !== "busy") return;
+      root.classList.remove("is-blinking");
+      void root.offsetWidth;
+      root.classList.add("is-blinking");
+      global.setTimeout(() => root.classList.remove("is-blinking"), 160);
+    }
+
+    function scheduleBlink() {
+      global.clearTimeout(blinkTimer);
+      if (reducedMotion()) return;
+      const waitMs = 4000 + Math.random() * 2000;
+      blinkTimer = global.setTimeout(() => {
+        blink();
+        scheduleBlink();
+      }, waitMs);
+    }
+
+    function onMouseMove(event) {
+      if (reducedMotion() || !finePointer()) return;
+      if (desiredMood() !== "idle") return;
+      const rect = root.getBoundingClientRect();
+      const cx = rect.left + rect.width * 0.42;
+      const cy = rect.top + rect.height * 0.42;
+      const dx = event.clientX - cx;
+      const dy = event.clientY - cy;
+      const dist = Math.hypot(dx, dy) || 1;
+      const cap = 3.5;
+      motion.targetX = (dx / dist) * Math.min(cap, Math.abs(dx) / 90);
+      motion.targetY = (dy / dist) * Math.min(cap, Math.abs(dy) / 90);
+      const tilt = Math.max(-5, Math.min(5, (dx / Math.max(global.innerWidth, 1)) * 10));
+      motion.targetLeanRed = tilt;
+      motion.targetLeanGreen = tilt * 0.8;
+    }
+
+    function tick() {
+      if (!root) return;
+      if (!reducedMotion()) {
+        motion.pupilX += (motion.targetX - motion.pupilX) * 0.18;
+        motion.pupilY += (motion.targetY - motion.pupilY) * 0.18;
+        motion.leanRed += (motion.targetLeanRed - motion.leanRed) * 0.18;
+        motion.leanGreen += (motion.targetLeanGreen - motion.leanGreen) * 0.18;
+        setVars();
+      } else {
+        motion.pupilX = motion.targetX;
+        motion.pupilY = motion.targetY;
+        motion.leanRed = motion.targetLeanRed;
+        motion.leanGreen = motion.targetLeanGreen;
+        setVars();
+      }
+      raf = global.requestAnimationFrame(tick);
+    }
+
+    function onFocusChange() {
+      global.requestAnimationFrame(sync);
+    }
+
+    if (root) {
+      document.addEventListener("focusin", onFocusChange);
+      document.addEventListener("focusout", onFocusChange);
+      global.addEventListener("mousemove", onMouseMove, { passive: true });
+      if (!reducedMotion()) {
+        raf = global.requestAnimationFrame(tick);
+        scheduleBlink();
+      } else {
+        poseFor("idle");
+        setVars();
+      }
+      sync();
+    }
+
+    return { sync, succeed, fail };
+  })();
+
   themeButton.addEventListener("click", () => {
     applyTheme(document.documentElement.dataset.theme === "dark" ? "light" : "dark", true);
   });

frontend/m/css/features.css

@@ -3192,8 +3192,7 @@
 .m-sys-grid div {
   padding: 12px;
   border-radius: 8px;
-  background: var(--surface);
-  box-shadow: var(--elevation-card);
+  background: var(--surface-muted);
 }
 
 .m-sys-grid span {
@@ -3209,16 +3208,424 @@
   color: var(--text-primary);
 }
 
-.m-sys-account-actions {
-  display: grid;
+.m-sys-home {
+  padding: 0 0 12px;
+  display: flex;
+  flex-direction: column;
   gap: 8px;
-  margin-top: 16px;
 }
 
-.m-page[data-page^="system/"] .m-btn-primary {
-  margin-bottom: 8px;
+.m-sys-body {
+  padding: 12px 12px 20px;
+  display: flex;
+  flex-direction: column;
+  gap: 12px;
+}
+
+.m-sys-home .m-card,
+.m-sys-body .m-card {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+.m-sys-profile-card {
+  display: flex;
+  gap: 12px;
+  align-items: flex-start;
+  padding: 14px;
+}
+
+.m-sys-avatar {
+  flex: 0 0 auto;
+  width: 48px;
+  height: 48px;
+  border-radius: 50%;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  background: var(--action-soft);
+  color: var(--action);
+  font-size: var(--font-size-page-title);
+  font-weight: 600;
+}
+
+.m-sys-profile-card strong {
+  display: block;
+  font-size: var(--font-size-card-title);
+  color: var(--text-primary);
+}
+
+.m-sys-profile-meta {
+  margin: 4px 0 8px;
+  font-size: var(--font-size-caption);
+  color: var(--text-secondary);
+}
+
+.m-sys-badges {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 6px;
+}
+
+.m-sys-badge {
+  display: inline-flex;
+  align-items: center;
+  height: 22px;
+  padding: 0 8px;
+  border-radius: 999px;
+  font-size: var(--font-size-aux);
+  font-weight: 600;
+  background: var(--surface-muted);
+  color: var(--text-secondary);
+}
+
+.m-sys-badge--admin {
+  background: var(--action-soft);
+  color: var(--action);
+}
+
+.m-sys-badge--ok {
+  background: var(--market-down-soft);
+  color: var(--market-down);
+}
+
+.m-sys-group-title {
+  margin: 4px 0 0;
+  font-size: var(--font-size-caption);
+  font-weight: 600;
+  color: var(--text-tertiary);
+}
+
+.m-sys-list {
+  padding: 0;
+  overflow: hidden;
+}
+
+.m-sys-row {
+  width: 100%;
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  padding: 10px 12px;
+  border: 0;
+  background: transparent;
+  color: inherit;
+  text-align: left;
+  cursor: pointer;
+  -webkit-tap-highlight-color: transparent;
+}
+
+.m-sys-row + .m-sys-row {
+  border-top: 1px solid var(--border);
+}
+
+.m-sys-row:active {
+  background: var(--surface-hover);
+}
+
+.m-sys-row-icon {
+  flex: 0 0 auto;
+  width: 36px;
+  height: 36px;
+  border-radius: 10px;
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  background: var(--action-soft);
+  color: var(--action);
+}
+
+.m-sys-row--danger .m-sys-row-icon {
+  background: var(--market-up-soft);
+  color: var(--market-up);
+}
+
+.m-sys-row-body {
+  flex: 1;
+  min-width: 0;
+}
+
+.m-sys-row-body strong {
+  display: block;
+  font-size: var(--font-size-body);
+  font-weight: 600;
+  color: var(--text-primary);
+}
+
+.m-sys-row-body small {
+  display: block;
+  margin-top: 2px;
+  font-size: var(--font-size-caption);
+  color: var(--text-secondary);
+}
+
+.m-sys-row-chevron {
+  flex: 0 0 auto;
+  color: var(--text-tertiary);
+}
+
+.m-sys-foot {
+  margin: 8px 0 0;
+  text-align: center;
+  font-size: var(--font-size-caption);
+  color: var(--text-tertiary);
+}
+
+.m-sys-notice {
+  padding: 12px;
+  border-radius: 12px;
+  background: var(--surface-muted);
+}
+
+.m-sys-notice p {
+  margin: 0;
+  font-size: var(--font-size-label);
+  color: var(--text-secondary);
+  line-height: 1.55;
+}
+
+.m-sys-notice .m-sys-badges {
+  margin-top: 8px;
+}
+
+.m-sys-section {
+  padding: 12px;
+}
+
+.m-sys-section > strong,
+.m-sys-section-title {
+  display: block;
+  margin-bottom: 10px;
+  font-size: var(--font-size-card-title);
+  color: var(--text-primary);
+}
+
+.m-sys-hint {
+  margin: 8px 0 0;
+  font-size: var(--font-size-caption);
+  color: var(--text-tertiary);
+  line-height: 1.45;
+}
+
+.m-sys-status-list {
+  display: grid;
+  gap: 8px;
+}
+
+.m-sys-status-item {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 8px;
+  font-size: var(--font-size-body);
+  color: var(--text-primary);
+}
+
+.m-sys-dot {
+  width: 8px;
+  height: 8px;
+  border-radius: 50%;
+  background: var(--text-tertiary);
+}
+
+.m-sys-dot--ok {
+  background: var(--market-down);
+}
+
+.m-sys-switch-row {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 12px;
+}
+
+.m-sys-switch-row strong {
+  display: block;
+  font-size: var(--font-size-body);
+  margin-bottom: 0;
+}
+
+.m-btn-outline,
+.m-btn-outline-danger {
+  width: 100%;
+  height: 44px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 8px;
+  border-radius: 8px;
+  background: var(--surface);
+  font-size: var(--font-size-body);
+  font-weight: 600;
+  cursor: pointer;
+  -webkit-tap-highlight-color: transparent;
+}
+
+.m-btn-outline {
+  border: 1px solid var(--action);
+  color: var(--action);
+}
+
+.m-btn-outline:active {
+  background: var(--action-soft);
+}
+
+.m-btn-outline-danger {
+  border: 1px solid var(--market-up);
+  color: var(--market-up);
+}
+
+.m-btn-outline-danger:active {
+  background: var(--market-up-soft);
+}
+
+.m-btn-outline:disabled,
+.m-btn-outline-danger:disabled {
+  opacity: 0.45;
+  cursor: default;
+  pointer-events: none;
+}
+
+.m-sys-model-card .m-sys-badges,
+.m-sys-user-row .m-sys-badges {
+  margin-top: 6px;
+}
+
+.m-sys-model-card {
+  display: flex;
+  align-items: flex-start;
+  justify-content: space-between;
+  gap: 8px;
+  width: 100%;
+  padding: 12px;
+  border: 0;
+  background: transparent;
+  text-align: left;
+  cursor: pointer;
+}
+
+.m-sys-model-card + .m-sys-model-card {
+  border-top: 1px solid var(--border);
+}
+
+.m-sys-model-card:active {
+  background: var(--surface-hover);
+}
+
+.m-sys-user-row {
+  display: flex;
+  align-items: center;
+  gap: 10px;
+  padding: 12px;
+}
+
+.m-sys-user-row + .m-sys-user-row {
+  border-top: 1px solid var(--border);
+}
+
+.m-sys-user-row .m-btn-outline {
+  width: auto;
+  height: 32px;
+  padding: 0 12px;
+  flex: 0 0 auto;
+}
+
+.m-sys-pair {
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 8px;
+}
+
+.m-sheet-root.is-dialog .m-sheet {
+  display: none;
+}
+
+.m-dialog {
+  position: absolute;
+  left: 50%;
+  top: 42%;
+  width: calc(100% - 48px);
+  max-width: 320px;
+  transform: translate(-50%, -46%) scale(0.96);
+  border-radius: 12px;
+  background: var(--surface);
+  box-shadow: var(--elevation-float);
+  padding: 18px 16px 14px;
+  z-index: 3;
+  opacity: 0;
+  transition: opacity var(--motion-enter) var(--ease-enter),
+              transform var(--motion-enter) var(--ease-enter);
+}
+
+.m-sheet-root.is-open .m-dialog {
+  opacity: 1;
+  transform: translate(-50%, -50%) scale(1);
+}
+
+.m-dialog h2 {
+  margin: 0 0 8px;
+  font-size: var(--font-size-card-title);
+  color: var(--text-primary);
+  text-align: center;
+}
+
+.m-dialog p {
+  margin: 0 0 16px;
+  font-size: var(--font-size-label);
+  color: var(--text-secondary);
+  line-height: 1.5;
+  text-align: center;
+}
+
+.m-dialog-actions {
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 8px;
+}
+
+.m-dialog-actions .m-btn-outline,
+.m-dialog-actions .m-btn-outline-danger,
+.m-dialog-actions .m-btn-primary {
+  height: 40px;
+}
+
+.m-sys-sheet-actions {
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 8px;
+  margin-top: 12px;
+}
+
+.m-sys-test-row {
+  display: flex;
+  align-items: center;
+  gap: 10px;
+  margin: 8px 0 12px;
+}
+
+.m-sys-test-row .m-btn-outline {
+  width: auto;
+  flex: 0 0 auto;
+  height: 36px;
+  padding: 0 12px;
+}
+
+.m-sys-test-row [data-model-test-status] {
+  flex: 1;
+  font-size: var(--font-size-caption);
+  color: var(--text-secondary);
+}
+
+.m-sys-hero {
+  padding: 14px;
+}
+
+.m-sys-hero strong {
+  display: block;
+  font-size: var(--font-size-page-title);
+  margin-bottom: 6px;
 }
 
 .m-page[data-page^="system/"] .m-card {
-  margin-bottom: 12px;
+  margin-bottom: 0;
 }

frontend/m/js/router.js

@@ -187,9 +187,9 @@
     const dark = document.getElementById("m-app").dataset.theme === "dark";
     const toggle = document.querySelector("[data-theme-toggle]");
     if (toggle) toggle.setAttribute("aria-checked", dark ? "true" : "false");
-    const rowIcon = document.querySelector(".m-theme-row-icon");
+    const rowIcon = document.querySelector(".m-theme-row-icon, [data-theme-row-icon]");
     if (rowIcon) rowIcon.innerHTML = icon(dark ? "moon" : "sun");
-    const rowBodySmall = document.querySelector(".m-theme-row-body small");
+    const rowBodySmall = document.querySelector(".m-theme-row-body small, [data-theme-row-label]");
     if (rowBodySmall) rowBodySmall.textContent = dark ? "当前：夜间模式" : "当前：日间模式";
   }
 
@@ -206,6 +206,10 @@
       replace(DEFAULT_HASH);
       return;
     }
+    if (key === "system" && global.MobilePages && typeof global.MobilePages.renderSystemHome === "function") {
+      global.MobilePages.renderSystemHome();
+      return;
+    }
     const items = visibleHubItems(hub);
     updateHeader({ title: hub.title, back: false });
     const section = key === "system" ? themeToggleSection() : "";

frontend/pages.config.js

@@ -68,10 +68,10 @@
     "/pages/sentiment/page.js?v=20260729-1",
     "/pages/pools/page.js?v=20260820-1",
     "/pages/market/breadth.js?v=20260803-1",
-    "/pages/market/charts.js?v=20260803-1",
-    "/pages/market/entity-detail.js?v=20260803-1",
-    "/pages/market/stock-detail.js?v=20260803-1",
-    "/pages/market/preview.js?v=20260806-1",
+    "/pages/market/charts.js?v=20260908-1",
+    "/pages/market/entity-detail.js?v=20260908-1",
+    "/pages/market/stock-detail.js?v=20260908-1",
+    "/pages/market/preview.js?v=20260908-1",
     "/pages/market/search.js?v=20260803-1",
     "/pages/market/bindings.js?v=20260803-1",
     "/pages/ladder/page.js?v=20260820-1",
@@ -95,7 +95,7 @@
     "/shared/table.js?v=20260803-1",
     "/shared/theme.js?v=20260803-1",
     "/shared/dashboard.js?v=20260820-1",
-    "/shared/session.js?v=20260803-1",
+    "/shared/session.js?v=20260829-hel243",
     "/shared/admin.js?v=20260803-1",
     "/app.js?v=20260803-2",
   ];

frontend/pages/heaven/foundation.css

@@ -93,28 +93,6 @@ body[data-active-view="heavenView"] .workspace-view {
   display: none;
 }
 
-:where(#heavenView) .heaven-tabs {
-  display: flex;
-
-  border-bottom: 1px solid var(--line);
-}
-
-:where(#heavenView) .heaven-tab {
-  border-bottom: 3px solid transparent;
-
-  background: transparent;
-
-  cursor: pointer;
-}
-
-:where(#heavenView) .heaven-tab.active {
-  border-bottom-color: var(--coral);
-}
-
-:where(#heavenView) .heaven-tab:hover {
-  border-bottom-color: var(--coral);
-}
-
 :where(#heavenView) .heaven-panel {
   display: none;
 }
@@ -1875,60 +1853,6 @@ body[data-active-view="heavenView"] .workspace-view {
   color: var(--heaven-ink-faint);
 }
 
-#heavenView .heaven-tab {
-  font-family: var(--heaven-serif);
-
-  height: 52px;
-
-  position: relative;
-
-  padding: 0px 2px;
-
-  border: 0px;
-
-  color: var(--heaven-ink-soft);
-
-  font-size: 14px;
-
-  font-weight: 600;
-}
-
-#heavenView .heaven-tab::after {
-  content: "";
-
-  position: absolute;
-
-  right: 0px;
-
-  bottom: 0px;
-
-  left: 0px;
-
-  height: 2px;
-
-  background: var(--heaven-cinnabar);
-
-  opacity: 0;
-
-  transform: scaleX(0.3);
-
-  transition: opacity 220ms ease, transform 260ms var(--ease-out);
-}
-
-#heavenView .heaven-tab.active {
-  color: var(--heaven-ink);
-}
-
-#heavenView .heaven-tab:hover {
-  color: var(--heaven-ink);
-}
-
-#heavenView .heaven-tab.active::after {
-  opacity: 1;
-
-  transform: scaleX(1);
-}
-
 :where(#heavenView) .heaven-proverb {
   margin: 0px;
 
@@ -1960,7 +1884,7 @@ body[data-active-view="heavenView"] .workspace-view {
 }
 
 #heavenView .button:focus-visible,
-#heavenView .heaven-tab:focus-visible,
+#heavenView .segment:focus-visible,
 #heavenView summary:focus-visible {
   outline: 2px solid var(--heaven-cinnabar);
 
@@ -2623,12 +2547,6 @@ body[data-active-view="heavenView"] .workspace-view {
     padding: 0px 14px;
   }
 
-  #heavenView .heaven-tabs {
-    gap: 22px;
-
-    padding: 0px 14px;
-  }
-
   .heaven-proverb {
     padding: 8px 14px;
 
@@ -3093,7 +3011,7 @@ body[data-active-view="heavenView"] .workspace-view {
 
 #heavenView.heaven-data-loading .heaven-panel,
 #heavenView.heaven-data-loading .heaven-proverb,
-#heavenView.heaven-data-loading .heaven-tabs {
+#heavenView.heaven-data-loading .heaven-page-head {
   opacity: 0.42;
 
   pointer-events: none;
@@ -3695,7 +3613,7 @@ body[data-active-view="heavenView"] .workspace-view {
 @media (max-width: 900px) {
   #heavenView .heaven-panel > ,
 #heavenView .heaven-proverb,
-#heavenView .heaven-tabs,
+#heavenView .heaven-page-head,
 #heavenView .heaven-toolbar {
     width: min(100% - 28px, 1280px);
   }
@@ -3746,22 +3664,6 @@ body[data-active-view="heavenView"] .workspace-view {
     display: none;
   }
 
-  #heavenView .heaven-tabs {
-    display: grid;
-
-    grid-template-columns: repeat(3, minmax(0px, 1fr));
-
-    gap: 0px;
-
-    padding: 0px;
-  }
-
-  #heavenView .heaven-tab {
-    width: 100%;
-
-    min-width: 0px;
-  }
-
   #heavenFortunePanel .fortune-heading {
     display: flex;
 
@@ -3867,18 +3769,6 @@ body[data-active-view="heavenView"] .workspace-view {
 }
 
 @media (max-width: 520px) {
-  .heaven-tabs {
-    gap: 0px;
-
-    padding: 0px 8px;
-  }
-
-  .heaven-tab {
-    min-width: 0px;
-
-    flex: 1 1 0%;
-  }
-
   .heaven-controls {
     grid-template-columns: 1fr;
 
@@ -6232,26 +6122,6 @@ body[data-active-view="heavenView"] .workspace-view {
   padding: 12px 20px;
 }
 
-#heavenView .heaven-tabs {
-  align-items: stretch;
-
-  gap: 30px;
-
-  border-color: var(--heaven-rule);
-
-  background: rgba(253, 252, 248, 0.96);
-
-  width: min(100% - 40px, 1280px);
-
-  margin-right: auto;
-
-  margin-left: auto;
-
-  min-height: 54px;
-
-  padding: 0px 20px;
-}
-
 #heavenView .heaven-proverb {
   margin-right: auto;
 
@@ -6297,12 +6167,6 @@ body[data-active-view="heavenView"] .workspace-view {
     padding: 10px 14px;
   }
 
-  #heavenView .heaven-tabs {
-    min-height: 52px;
-
-    padding: 0px 14px;
-  }
-
   #heavenView .heaven-proverb {
     padding: 9px 14px;
   }
@@ -6668,18 +6532,6 @@ body[data-active-view="heavenView"] .workspace-view {
   color: var(--wt-faint);
 }
 
-:root[data-theme="light"] #heavenView .wt-tabs .wt-tab {
-  color: var(--wt-muted);
-}
-
-:root[data-theme="light"] #heavenView .wt-tabs .wt-tab small {
-  color: var(--wt-faint);
-}
-
-:root[data-theme="light"] #heavenView .wt-tabs .wt-tab.on {
-  color: var(--wt-gold-bright);
-}
-
 :root[data-theme="light"] #heavenView .wt-empty {
   color: var(--wt-muted);
 }
@@ -7128,88 +6980,6 @@ body[data-active-view="heavenView"] .workspace-view {
     letter-spacing: 4px;
   }
 
-  .wt-tabs {
-    display: flex;
-
-    justify-content: center;
-
-    gap: 34px;
-
-    margin-top: 20px;
-  }
-
-  .wt-tabs .wt-tab {
-    position: relative;
-
-    padding: 8px 4px;
-
-    border: 0px;
-
-    background: transparent;
-
-    color: rgba(216, 210, 189, 0.5);
-
-    font-size: 15px;
-
-    letter-spacing: 3px;
-
-    transition: color 0.2s;
-  }
-
-  .wt-tabs .wt-tab small {
-    display: block;
-
-    margin-top: 3px;
-
-    color: rgba(216, 210, 189, 0.3);
-
-    font-family: inherit;
-
-    font-size: 10px;
-
-    letter-spacing: 1px;
-  }
-
-  .wt-tabs .wt-tab::after {
-    content: "";
-
-    position: absolute;
-
-    bottom: -2px;
-
-    left: 50%;
-
-    width: 0px;
-
-    height: 1.5px;
-
-    background: var(--wt-gold);
-
-    transform: translateX(-50%);
-
-    transition: 0.25s;
-  }
-
-  .wt-tabs .wt-tab.on {
-    color: var(--wt-gold-bright);
-  }
-
-  .wt-tabs .wt-tab.on::after {
-    width: 100%;
-  }
-
-  .wt-tabs .wt-tab:disabled {
-    cursor: default;
-  }
-
-  .wt-tabs .wt-tab:focus {
-    outline: none;
-  }
-
-  .wt-tabs .wt-tab:focus-visible {
-    box-shadow: rgba(201, 165, 92, 0.45) 0px 2px 0px;
-  }
-
   .heaven-proverb {
     margin: 8px 0px 0px;
 
@@ -9072,16 +8842,6 @@ body[data-active-view="heavenView"] .workspace-view {
       gap: 5px;
     }
 
-    .wt-tabs {
-      gap: 16px;
-    }
-
-    .wt-tabs .wt-tab {
-      font-size: 13px;
-
-      letter-spacing: 2px;
-    }
-
     .heaven-proverb {
       text-align: center;
     }

frontend/pages/heaven/page.html

@@ -1,16 +1,23 @@
     <section id="heavenView" class="workspace-view member-feature-view heaven-shell wt">
       <div class="member-gate" hidden><div class="member-gate-icon"><i data-lucide="lock-keyhole"></i></div><div><strong>问天仅对会员开放</strong><span>开通会员后可使用观势、观气、观心及平台解读。会员状态可从顶部账号标识进入。</span></div></div>
+      <div class="section-toolbar redesigned-page-head heaven-page-head">
+        <div class="section-title-group">
+          <h2>问天</h2>
+          <span class="section-subtitle"><b id="heavenDataDate">--</b></span>
+        </div>
+        <div class="toolbar-controls">
+          <div class="segmented" role="group" aria-label="问天模块">
+            <button class="segment active on" type="button" data-heaven-panel="trend" aria-current="page">观势</button>
+            <button class="segment" type="button" data-heaven-panel="fortune">观气</button>
+            <button class="segment" type="button" data-heaven-panel="heart">观心</button>
+          </div>
+        </div>
+      </div>
       <header class="wt-head">
         <div class="wt-title-line">
           <h1 class="wt-serif">问 天</h1>
-          <span id="heavenDataDate">--</span>
         </div>
         <div class="verse wt-serif">观天之道 · 执天之行</div>
-        <nav class="wt-tabs" aria-label="问天模块">
-          <button class="wt-tab wt-serif on" type="button" data-heaven-panel="trend" aria-current="page">观势<small>三才六爻 · 量化成卦</small></button>
-          <button class="wt-tab wt-serif" type="button" data-heaven-panel="fortune">观气<small>五运六气 · 日辰生克</small></button>
-          <button class="wt-tab wt-serif" type="button" data-heaven-panel="heart">观心<small>静心占卜 · 第一念</small></button>
-        </nav>
       </header>
       <p class="heaven-proverb wt-serif">遇事不决可问春风，春风不语即随本心</p>
       <div id="heavenNotice" class="inline-notice" role="status" hidden></div>

frontend/pages/heaven/page.js

@@ -113,9 +113,12 @@ async function loadHeavenSetup(force = false, sector = "", stockCode = "") {
     document.querySelector("#resetHeavenCalibrationButton"),
   ].filter(Boolean);
   cancelHeavenPerformance();
-  heavenView?.classList.add("heaven-data-loading");
+  const blocking = !state.heavenSetup;
+  if (blocking) heavenView?.classList.add("heaven-data-loading");
   if (loadButton) loadButton.disabled = true;
   calibrationButtons.forEach((button) => { button.disabled = true; });
+  const controller = new AbortController();
+  const timeoutId = window.setTimeout(() => controller.abort(), 25_000);
   try {
     if (state.heavenSetup?.requestedKey && state.heavenSetup.requestedKey !== requestedKey) {
       state.personalField = null;
@@ -126,7 +129,7 @@ async function loadHeavenSetup(force = false, sector = "", stockCode = "") {
     if (sector) query.set("sector", sector);
     if (stockCode) query.set("stock_code", stockCode);
     if (manualData) query.set("manual_data", JSON.stringify(manualData));
-    const payload = await apiRequest(`/api/heaven/setup?${query}`);
+    const payload = await apiRequest(`/api/heaven/setup?${query}`, "GET", null, { signal: controller.signal });
     if (
       requestSequence !== state.heavenRequestSequence
       || calendarDate !== document.querySelector("#qiObservationDate")?.value
@@ -152,9 +155,15 @@ async function loadHeavenSetup(force = false, sector = "", stockCode = "") {
     if (payload.chart.selection_notice) showHeavenNotice(payload.chart.selection_notice);
   } catch (error) {
     if (requestSequence !== state.heavenRequestSequence) return;
-    showHeavenNotice(error.message || "问天数据加载失败");
-    showToast(error.message || "问天数据加载失败");
+    const aborted = error?.payload?.aborted || /abort|超时|cancel/i.test(String(error?.message || ""));
+    const message = aborted
+      ? "问天数据仍在准备，页面可继续输入和操作"
+      : (error.message || "问天数据加载失败");
+    showHeavenNotice(message);
+    if (!aborted) showToast(message);
+    if (!state.heavenSetup) renderHeavenWorkspace();
   } finally {
+    window.clearTimeout(timeoutId);
     if (requestSequence === state.heavenRequestSequence) {
       heavenView?.classList.remove("heaven-data-loading");
       if (loadButton) loadButton.disabled = false;
@@ -1363,7 +1372,8 @@ async function interpretHeaven(mode) {
   } catch (error) {
     stopHeavenReadingAnimation();
     state.heavenReadingLoading = false;
-    state.heavenReadingError = error.message || "问天解读失败";
+    const detail = error?.payload?.message || error?.payload?.error || error.message;
+    state.heavenReadingError = detail || "问天解读失败";
     renderHeavenReadingDialog();
     showHeavenNotice(state.heavenReadingError);
     showToast(state.heavenReadingError);

frontend/pages/market/charts.js

@@ -1,3 +1,16 @@
+const DAILY_CHART_BARS = 45;
+
+function visibleDailyPrices(prices) {
+  return (prices || []).slice(-DAILY_CHART_BARS);
+}
+
+function dailyChartSourceLabel(prices, notice) {
+  const count = visibleDailyPrices(prices).length;
+  const base = `日 K 行情 · ${count} 个交易日`;
+  const text = String(notice || "").trim();
+  return text ? `${base} · ${text}` : base;
+}
+
 function currentChartPalette() {
   const style = getComputedStyle(document.documentElement);
   const color = (token, fallback) => style.getPropertyValue(token).trim() || fallback;
@@ -56,7 +69,8 @@ function drawCandlestick(context, x, item, priceY, candleWidth, palette = curren
 
 function drawPriceChart(prices) {
   const canvas = elements.priceChart;
-  if (!prices?.length) {
+  const visible = visibleDailyPrices(prices);
+  if (!visible.length) {
     clearPriceChart("暂无日 K 数据");
     return;
   }
@@ -81,15 +95,15 @@ function drawPriceChart(prices) {
   const gap = 12;
   const priceBottom = height - bottom - volumeHeight - gap;
   const plotWidth = width - left - right;
-  const highs = prices.map((item) => number(item.high));
-  const lows = prices.map((item) => number(item.low));
+  const highs = visible.map((item) => number(item.high));
+  const lows = visible.map((item) => number(item.low));
   const maximum = Math.max(...highs);
   const minimum = Math.min(...lows);
   const range = Math.max(maximum - minimum, maximum * 0.01, 0.01);
-  const volumes = prices.map((item) => number(item.volume));
+  const volumes = visible.map((item) => number(item.volume));
   const maxVolume = Math.max(...volumes, 1);
   const priceY = (value) => top + (maximum - value) / range * (priceBottom - top);
-  const step = plotWidth / prices.length;
+  const step = plotWidth / visible.length;
   const candleWidth = clamp(step * 0.62, 2, 8);
 
   context.strokeStyle = palette.grid;
@@ -105,7 +119,7 @@ function drawPriceChart(prices) {
     context.fillText((maximum - range * line / 4).toFixed(2), left - 5, y + 4);
   }
 
-  prices.forEach((item, index) => {
+  visible.forEach((item, index) => {
     const x = left + step * index + step / 2;
     const color = drawCandlestick(context, x, item, priceY, candleWidth, palette);
     const volumeBarHeight = number(item.volume) / maxVolume * volumeHeight;
@@ -117,10 +131,10 @@ function drawPriceChart(prices) {
 
   context.textAlign = "center";
   context.fillStyle = palette.axis;
-  const labelIndexes = [0, Math.floor((prices.length - 1) / 2), prices.length - 1];
+  const labelIndexes = [0, Math.floor((visible.length - 1) / 2), visible.length - 1];
   labelIndexes.forEach((index) => {
     const x = left + step * index + step / 2;
-    context.fillText(String(prices[index].trade_date).slice(5), x, height - 5);
+    context.fillText(String(visible[index].trade_date).slice(5), x, height - 5);
   });
 }
 
@@ -301,7 +315,7 @@ function drawIntradayPreviewChart(points, dailyPrices, referenceClose = 0) {
 
 function drawDailyPreviewChart(prices) {
   const { context, width, height, palette } = prepareStockPreviewCanvas();
-  const visible = prices.slice(-45);
+  const visible = visibleDailyPrices(prices);
   const visibleStart = prices.length - visible.length;
   const left = 45;
   const right = 10;

frontend/pages/market/entity-detail.js

@@ -113,13 +113,13 @@ function renderEntityDetailMetrics(metrics) {
 }
 
 function drawEntityDetailChart(series, canvas = elements.entityDetailChart) {
-  const candles = (series || []).filter((item) => number(item.close) > 0).map((item) => {
+  const candles = visibleDailyPrices((series || []).filter((item) => number(item.close) > 0).map((item) => {
     const close = number(item.close);
     const open = number(item.open) || close;
     const high = Math.max(number(item.high) || close, open, close);
     const low = Math.min(number(item.low) || close, open, close);
     return { ...item, open, high, low, close };
-  });
+  }));
   if (!candles.length) {
     clearEntityDetailChart("暂无日 K 数据", canvas);
     return;

frontend/pages/market/preview.js

@@ -367,7 +367,8 @@ function selectStockPreviewChart(chart) {
     }
   } else if ((payload.prices || []).length) {
     setText("stockPreviewDate", payload.meta?.trade_date || "最新行情");
-    setText("stockPreviewSource", `日 K 行情 · ${payload.prices.length} 个交易日`);
+    const notice = String(payload.meta?.notice || "").trim();
+    setText("stockPreviewSource", dailyChartSourceLabel(payload.prices, notice));
     drawDailyPreviewChart(payload.prices);
   } else {
     setText("stockPreviewDate", payload.meta?.trade_date || "最新行情");

frontend/pages/market/stock-detail.js

@@ -20,17 +20,9 @@ async function openStock(code, fallback = null) {
   setText("detailStreak", row.status === "涨停" ? streakLabel(row.streak) : row.status || "--");
   setText("detailReason", row.reason || "--");
   setText("detailSector", row.sector || "其他");
-  setText("detailFirst", row.first_time || "--");
-  setText("detailLast", row.last_time || "--");
-  setText("detailOpen", `${number(row.open_times)} 次`);
-  setText("detailTurnover", `${formatNumber(row.turnover_rate, 2)}%`);
-  setText("detailAmount", `${formatNumber(row.amount_billion, 2)} 亿`);
-  setText("detailSeal", `${formatNumber(row.seal_amount_million, 0)} 万`);
+  setStockBoardFields(row);
   setText("chartSource", "正在加载行情");
-  setText("flowNet", "--");
-  setText("flowLarge", "--");
-  setText("flowMedium", "--");
-  setText("flowSmall", "--");
+  renderMoneyflow({});
   document.querySelector("#reasonInput").value = row.reason || "";
   document.querySelector("#stockNoteContent").value = "";
   document.querySelector("#stockNotePlan").value = "";
@@ -48,11 +40,13 @@ async function openStock(code, fallback = null) {
     setText("detailName", stock.name || row.name);
     setText("detailPrice", formatNumber(stock.price || row.price, 2));
     setText("detailChange", `${signed(stock.change ?? row.change)}%`);
+    setStockBoardFields({ ...row, ...stock });
     renderMoneyflow(payload.moneyflow || {});
     renderStockNotes(payload.notes || []);
     updateWatchButton();
     if (state.stockDetailChartMode === "daily") {
-      setText("chartSource", `日 K 行情 · ${payload.prices.length} 个交易日`);
+      const notice = String(payload.meta?.notice || "").trim();
+      setText("chartSource", dailyChartSourceLabel(payload.prices, notice));
       requestAnimationFrame(() => drawPriceChart(payload.prices || []));
     }
   } catch (error) {
@@ -69,7 +63,11 @@ async function selectStockDetailChart(mode) {
   syncDetailChartButtons("stock", selected);
   if (selected === "daily") {
     const prices = state.stockDetail?.prices || [];
-    setText("chartSource", prices.length ? `日 K 行情 · ${prices.length} 个交易日` : "正在加载行情");
+    const notice = String(state.stockDetail?.meta?.notice || "").trim();
+    setText(
+      "chartSource",
+      prices.length ? dailyChartSourceLabel(prices, notice) : "正在加载行情",
+    );
     if (prices.length) requestAnimationFrame(() => drawPriceChart(prices));
     else clearPriceChart("正在加载日 K 数据");
     return;
@@ -111,6 +109,21 @@ function renderStockDetailIntraday(payload) {
   });
 }
 
+function setStockBoardFields(row) {
+  const firstTime = String(row.first_time || "").trim();
+  const lastTime = String(row.last_time || "").trim();
+  setText("detailFirst", firstTime && firstTime !== "--" ? firstTime : "--");
+  setText("detailLast", lastTime && lastTime !== "--" ? lastTime : "--");
+  setText("detailOpen", row.open_times === null || row.open_times === undefined || row.open_times === "" ? "--" : `${number(row.open_times)} 次`);
+  setText("detailTurnover", presentMetric(row.turnover_rate) ? `${formatNumber(row.turnover_rate, 2)}%` : "--");
+  setText("detailAmount", presentMetric(row.amount_billion) ? `${formatNumber(row.amount_billion, 2)} 亿` : "--");
+  setText("detailSeal", presentMetric(row.seal_amount_million) ? `${formatNumber(row.seal_amount_million, 0)} 万` : "--");
+}
+
+function presentMetric(value) {
+  return meaningfulNumber(value) && Number(value) !== 0;
+}
+
 function openActiveStockInHeaven() {
   const code = state.activeStock?.code;
   if (!/^\d{6}$/.test(String(code || ""))) return;

frontend/pages/mentor/foundation.css

@@ -49,7 +49,7 @@ body[data-active-view="mentorView"] .app-page-context span {
   height: 100%;
   min-height: 0;
   flex-direction: column;
-  padding: 0;
+  padding: var(--page-pad-y) 0 0;
   color: var(--qp-text-1);
   font-family: "PingFang SC", "Microsoft YaHei", system-ui, sans-serif;
 }

frontend/pages/review/page.js

@@ -408,8 +408,18 @@ async function saveReasonOverride(event) {
 }
 
 function renderMoneyflow(flow) {
-  for (const [id, value] of [["flowNet", flow.net_million], ["flowLarge", flow.large_million], ["flowMedium", flow.medium_million], ["flowSmall", flow.small_million]]) {
+  const payload = flow || {};
+  const available = payload.available !== false && [
+    payload.net_million, payload.large_million, payload.medium_million, payload.small_million,
+  ].some((value) => value !== null && value !== undefined && value !== "");
+  for (const [id, value] of [["flowNet", payload.net_million], ["flowLarge", payload.large_million], ["flowMedium", payload.medium_million], ["flowSmall", payload.small_million]]) {
     const element = document.getElementById(id);
+    if (!element) continue;
+    if (!available || value === null || value === undefined || value === "") {
+      element.textContent = "--";
+      element.className = "";
+      continue;
+    }
     element.textContent = formatMoneyMillion(value);
     element.className = changeClass(value);
   }

frontend/shared/admin.js

@@ -7,7 +7,14 @@ async function backfillData() {
       start_date: document.querySelector("#backfillStart").value,
       end_date: document.querySelector("#backfillEnd").value,
     });
-    showToast(`历史回补完成，共处理 ${payload.results.length} 个工作日`);
+    const failed = (payload.failed_count || 0);
+    const skipped = (payload.skipped_non_trading_days || []).length;
+    const suffix = failed
+      ? `，失败 ${failed} 个`
+      : skipped
+        ? `，跳过 ${skipped} 个非交易日`
+        : "";
+    showToast(`历史回补完成，共处理 ${payload.results.length} 个交易日${suffix}`);
     state.sentimentHistory = null;
     state.sentimentHistoryKey = "";
     if (state.activeView === "sentimentCycleView") {
@@ -34,11 +41,10 @@ async function openAdminSettings(refreshOnly = false) {
     const ifind = data.ifind || {};
     const llm = payload.llm || {};
     const membership = payload.membership || {};
-    status.textContent = `Tushare ${data.configured ? "已配置" : "未配置"} · iFinD ${ifind.configured ? "已配置" : "未配置"} · ${number(data.snapshot_dates)} 个交易日`;
+    status.textContent = `数据中枢 ${data.configured ? "已连接" : "未连接"} · iFinD ${ifind.configured ? "已配置" : "未配置"} · ${number(data.snapshot_dates)} 个交易日`;
     status.classList.toggle("connected", Boolean(data.configured));
     setText("systemDataStatus", data.background_refresh_enabled ? "后台刷新已启用" : "后台刷新已暂停");
-    document.querySelector("#systemTokenInput").value = "";
-    document.querySelector("#systemIfindTokenInput").value = "";
+    renderDatahubRouteStatus(data.datahub || {});
     document.querySelector("#systemBackgroundRefresh").checked = Boolean(data.background_refresh_enabled);
     document.querySelector("#memberDailyLimit").value = number(membership.member_daily_limit) || 50;
     renderModelPool(llm.models || [], llm.primary_model_id || "", llm.fallback_model_id || "");
@@ -48,6 +54,26 @@ async function openAdminSettings(refreshOnly = false) {
   }
 }
 
+function renderDatahubRouteStatus(hub) {
+  const box = document.querySelector("#datahubRouteStatus");
+  if (!box) return;
+  const label = box.querySelector("span");
+  const enabled = number(hub.enabled_reads);
+  const total = number(hub.total_reads) || enabled;
+  const fallbacks = hub.fallback_labels || [];
+  if (fallbacks.length) {
+    box.dataset.tone = "warning";
+    if (label) label.textContent = `数据中枢主线路 ${enabled}/${total} · 备用 ${fallbacks.length} 类：${fallbacks.join("、")}`;
+    return;
+  }
+  box.dataset.tone = hub.configured ? "success" : "idle";
+  if (label) {
+    label.textContent = hub.configured
+      ? `数据中枢主线路 ${enabled}/${total}，当前无备用`
+      : "数据中枢未配置，网站只保留已有真实快照";
+  }
+}
+
 function selectAdminPanel(panel) {
   const selected = ["market", "models", "members"].includes(panel) ? panel : "market";
   document.querySelector("#adminSectionSelect").value = selected;
@@ -177,13 +203,9 @@ async function saveMarketSettings(event) {
   button.disabled = true;
   try {
     await apiRequest("/api/admin/settings", "POST", {
-      tushare_token: document.querySelector("#systemTokenInput").value.trim(),
-      ifind_refresh_token: document.querySelector("#systemIfindTokenInput").value.trim(),
       background_refresh_enabled: document.querySelector("#systemBackgroundRefresh").checked,
     });
-    document.querySelector("#systemTokenInput").value = "";
-    document.querySelector("#systemIfindTokenInput").value = "";
-    showToast("行情配置已保存");
+    showToast("行情刷新设置已保存");
     await openAdminSettings(true);
   } catch (error) {
     showToast(error.message || "系统配置保存失败");

frontend/shared/api.js

@@ -46,12 +46,32 @@
     }
   }
 
+  function readableRequestError(error) {
+    const message = String(error?.message || "");
+    if (
+      error instanceof TypeError
+      || /failed to fetch|networkerror|load failed|network request failed/i.test(message)
+    ) {
+      return "网络请求失败，服务暂时不可用，请稍后重试。";
+    }
+    return message || "请求失败";
+  }
+
   async function request(url, method = "GET", body = null, options = {}) {
-    const response = await fetch(url, requestOptions(method, body, options.signal));
+    let response;
+    try {
+      response = await fetch(url, requestOptions(method, body, options.signal));
+    } catch (error) {
+      if (error?.name === "AbortError") {
+        throw new ApiError("请求已取消或超时", 0, { aborted: true });
+      }
+      throw new ApiError(readableRequestError(error), 0, null);
+    }
     const payload = await parseJson(response);
     handleUnauthorized(response, url);
     if (!response.ok || payload.error) {
-      throw new ApiError(payload.error || "请求失败", response.status, payload);
+      const message = payload.message || payload.error || "请求失败";
+      throw new ApiError(message, response.status, payload);
     }
     return payload;
   }

frontend/shared/components/controls.css

@@ -660,7 +660,9 @@ body.sidebar-collapsed .sidebar-collapse-button .lucide {
 
   text-align: left;
 
-  min-height: 38px;
+  height: var(--size-statusbar);
+
+  min-height: var(--size-statusbar);
 
   display: flex;
 
@@ -670,7 +672,7 @@ body.sidebar-collapsed .sidebar-collapse-button .lucide {
 
   margin: auto -8px -8px;
 
-  padding: 10px 16px;
+  padding: 0 16px;
 
   border-right: 0px;
 
@@ -691,6 +693,12 @@ body.sidebar-collapsed .sidebar-collapse-button .lucide {
   font-size: 12px;
 }
 
+.sidebar-collapse-button .lucide {
+  width: 14px;
+
+  height: 14px;
+}
+
 body.sidebar-collapsed .sidebar-collapse-button span {
   display: none;
 }

frontend/shared/dashboard.js

@@ -40,17 +40,109 @@ async function loadDashboard(force = false, background = false, showOverlay = tr
 async function startAdminRefresh() {
   const buttons = [document.querySelector("#syncButton"), document.querySelector("#adminRefreshButton")].filter(Boolean);
   buttons.forEach((button) => { button.disabled = true; });
+  const requestedDate = elements.tradeDate.value;
+  setAdminRefreshStatus("running", `正在刷新 ${requestedDate} 的行情，请稍候…`, "loader-circle");
   try {
-    const payload = await apiRequest("/api/admin/refresh", "POST", { trade_date: elements.tradeDate.value });
-    showToast(payload.message || "后台刷新已提交");
-    setStatus("后台刷新运行中，当前页面保持不变");
+    const payload = await apiRequest("/api/admin/refresh", "POST", { trade_date: requestedDate });
+    if (!payload.started || !payload.job_key) {
+      setAdminRefreshStatus("warning", "已有刷新任务正在运行，请稍后再试。", "clock-3");
+      showToast(payload.message || "已有后台刷新任务正在运行");
+      return;
+    }
+    setStatus(`正在刷新 ${requestedDate} 的行情`);
+    const job = await waitForAdminRefresh(payload.job_key);
+    if (job.status === "failed") {
+      const reason = job.message || job.error_code || "数据源未返回结果";
+      setAdminRefreshStatus("failure", `刷新失败：${reason}`, "circle-x");
+      setStatus("后台刷新失败");
+      showToast("后台刷新失败");
+      return;
+    }
+    const query = new URLSearchParams({ trade_date: requestedDate });
+    const dashboard = await apiRequest(`/api/dashboard?${query}`);
+    applyDashboard(dashboard);
+    const meta = dashboard.meta || {};
+    const actualDate = String(meta.trade_date || "").slice(0, 10);
+    const requestedCompact = requestedDate.replaceAll("-", "");
+    const actualCompact = actualDate.replaceAll("-", "");
+    const updated = formatTimestamp(meta.updated_at);
+    const freshness = dashboardFreshnessMessage(meta);
+    if (meta.realtime && actualCompact === requestedCompact && !meta.carried_forward) {
+      setAdminRefreshStatus("success", `刷新成功：已获取 ${actualDate} 的盘中行情，更新时间 ${updated}`, "circle-check");
+      showToast(`刷新成功：已获取 ${actualDate} 的盘中行情`);
+      return;
+    }
+    if (freshness || actualCompact !== requestedCompact || meta.carried_forward || meta.limit_data_source === "derived") {
+      setAdminRefreshStatus("warning", freshness || `部分正式数据尚未到齐，当前展示 ${actualDate || "最近可用数据"}`, "triangle-alert");
+      setStatus(freshness || "部分正式数据尚未到齐，当前展示最近可用数据");
+      return;
+    }
+    if (meta.notice) {
+      setAdminRefreshStatus("warning", `已刷新到 ${actualDate}（${updated}），但数据源提示：${meta.notice}`, "triangle-alert");
+      showToast(`已刷新到 ${actualDate}，请留意数据源提示`);
+    } else {
+      setAdminRefreshStatus("success", `刷新成功：已获取 ${actualDate} 的最新行情，更新时间 ${updated}`, "circle-check");
+      showToast(`刷新成功：已获取 ${actualDate} 的最新行情`);
+    }
   } catch (error) {
-    showToast(error.message || "后台刷新启动失败");
+    const message = error.message || "后台刷新失败";
+    setAdminRefreshStatus("failure", `刷新失败：${message}`, "circle-x");
+    setStatus("后台刷新失败");
+    showToast(message);
   } finally {
     buttons.forEach((button) => { button.disabled = false; });
   }
 }
 
+function setAdminRefreshStatus(tone, message, icon = "circle-dot") {
+  const status = document.querySelector("#adminRefreshStatus");
+  if (!status) return;
+  status.dataset.tone = tone;
+  status.innerHTML = `<i data-lucide="${icon}"></i><span>${escapeHtml(message)}</span>`;
+  refreshIcons();
+}
+
+async function waitForAdminRefresh(jobKey) {
+  for (let attempt = 0; attempt < 120; attempt += 1) {
+    const payload = await apiRequest("/api/admin/settings");
+    const job = (payload.data?.jobs || []).find((item) => item.idempotency_key === jobKey);
+    if (job && ["success", "failed"].includes(job.status)) return job;
+    await new Promise((resolve) => setTimeout(resolve, 1000));
+  }
+  throw new Error("刷新等待超时，请稍后重试");
+}
+
+let dashboardCatchupTimer = 0;
+
+function chineseMonthDay(value) {
+  const compact = String(value || "").replaceAll("-", "").replaceAll("/", "");
+  if (!/^\d{8}/.test(compact)) return "";
+  return `${Number(compact.slice(4, 6))} 月 ${Number(compact.slice(6, 8))} 日`;
+}
+
+function dashboardFreshnessMessage(meta = {}) {
+  if (meta.display_notice) return String(meta.display_notice);
+  const requested = String(meta.requested_date || "").replaceAll("-", "");
+  const actual = String(meta.trade_date || "").replaceAll("-", "");
+  const shown = chineseMonthDay(actual);
+  if (meta.data_status === "preparing" || (meta.carried_forward && actual && requested && actual !== requested)) {
+    return shown ? `今日数据正在准备，当前展示 ${shown}` : "今日数据正在准备，当前展示最近可用数据";
+  }
+  if (meta.data_status === "partial" || meta.limit_data_source === "derived") {
+    return meta.notice || "部分正式数据尚未到齐，当前展示日线推算结果";
+  }
+  return "";
+}
+
+function scheduleDashboardCatchup(meta = {}) {
+  window.clearTimeout(dashboardCatchupTimer);
+  const status = String(meta.data_status || "");
+  if (status !== "preparing" && status !== "partial") return;
+  dashboardCatchupTimer = window.setTimeout(() => {
+    loadDashboard(false, true, false);
+  }, 60000);
+}
+
 function applyDashboard(payload, background = false) {
   state.dashboard = payload;
   const selectedDate = payload.meta.requested_date || payload.meta.trade_date;
@@ -58,7 +150,11 @@ function applyDashboard(payload, background = false) {
   document.querySelector("#qiObservationDate").value = selectedDate;
   document.querySelector("#journalDate").value = selectedDate;
   renderDashboard();
-  setStatus(`${dashboardSourceLabel(payload.meta)} · 数据已更新`);
+  const freshness = dashboardFreshnessMessage(payload.meta || {});
+  setStatus(freshness || `${dashboardSourceLabel(payload.meta)} · 数据已更新`);
+  const updatedAt = document.querySelector("#updatedAt");
+  if (updatedAt) updatedAt.dataset.tone = freshness ? "warning" : "ok";
+  scheduleDashboardCatchup(payload.meta || {});
   if (!background) {
     if (state.activeView === "dragonView") loadDragonTiger();
     if (state.activeView === "screenerView") loadScreenerSetup();
@@ -126,7 +222,12 @@ function renderDashboard() {
     }
   }
   updateSentimentGauge(overview.sentiment_score);
-  setText("updatedAt", `${dashboardSourceLabel(meta)} · 更新 ${formatTimestamp(meta.updated_at)}`);
+  const freshness = dashboardFreshnessMessage(meta);
+  setText("updatedAt", freshness
+    ? freshness
+    : `${dashboardSourceLabel(meta)} · 更新 ${formatTimestamp(meta.updated_at)}`);
+  const updatedAt = document.querySelector("#updatedAt");
+  if (updatedAt) updatedAt.dataset.tone = freshness ? "warning" : "ok";
 
   renderLimitTable();
   renderLadderMini(ladders || []);

frontend/shared/session.js

@@ -196,7 +196,13 @@ async function changeAccountPassword(event) {
 
 async function switchAccount() {
   toggleAccountDropdown(false);
-  window.location.assign("/login/");
+  const params = new URLSearchParams();
+  const next = `${window.location.pathname}${window.location.search}${window.location.hash}`;
+  if (next.startsWith("/") && !next.startsWith("//") && next !== "/login" && !next.startsWith("/login/") && !next.startsWith("/login?")) {
+    params.set("next", next);
+  }
+  const query = params.toString();
+  window.location.assign("/login/" + (query ? `?${query}` : ""));
 }
 
 

frontend/shared/shell.css

@@ -921,6 +921,10 @@ body.sidebar-collapsed .app-main {
   text-align: right;
 }
 
+.status-bar #updatedAt[data-tone="warning"] {
+  color: var(--warning);
+}
+
 .status-bar .risk-note {
   display: block;
 
@@ -1294,7 +1298,9 @@ body.sidebar-collapsed {
 }
 
 .sidebar-brand {
-  min-height: 55px;
+  height: var(--size-topbar);
+
+  min-height: var(--size-topbar);
 
   display: flex;
 
@@ -1304,7 +1310,7 @@ body.sidebar-collapsed {
 
   margin: 0px -8px 7px;
 
-  padding: 0px 16px;
+  padding: 0 16px;
 
   border-bottom: 1px solid var(--r2-line-soft);
 
@@ -2146,13 +2152,17 @@ body.sidebar-collapsed .status-bar {
 }
 
 .module-nav .sidebar-brand {
+  height: var(--size-topbar);
+
+  min-height: var(--size-topbar);
+
   display: flex;
 
   align-items: center;
 
   gap: 8px;
 
-  padding: 14px 16px;
+  padding: 0 16px;
 
   border-bottom: 1px solid var(--line-soft);
 }
@@ -3494,7 +3504,7 @@ body.sidebar-collapsed .status-bar {
   flex: 0 0 auto;
   align-items: center;
   gap: var(--header-action-gap);
-  margin-left: 0;
+  margin-left: auto;
   overflow: visible;
 }
 

frontend/shared/tokens.css

@@ -147,6 +147,31 @@
   --duration-fast: 150ms;
   --duration-normal: 220ms;
   --login-brand-gradient: linear-gradient(165deg, #0c1e4a, #16307c, #2153cc);
+  --login-brand-share: 34%;
+  --login-brand-min: 420px;
+  --login-brand-cap: 560px;
+  --login-brand-wide-share: 29.2%;
+  --login-brand-pad: 36px 40px 24px;
+  --login-brand-mark-size: 44px;
+  --login-brand-name-size: 16px;
+  --login-hero-size: 28px;
+  --login-card-width: 408px;
+  --login-card-pad: 32px;
+  --login-card-title-size: 22px;
+  --login-account-row-min: 72px;
+  --login-account-avatar: 40px;
+  --login-submit-height: 40px;
+  --login-stat-chip-bg: rgba(8, 12, 24, 0.48);
+  --login-candle-up: #e07078;
+  --login-candle-down: #3db88a;
+  --login-trend-line: rgba(244, 247, 255, 0.88);
+  --login-mascot-red: #e8605a;
+  --login-mascot-red-shade: #c74a45;
+  --login-mascot-green: #46be93;
+  --login-mascot-green-shade: #37997a;
+  --login-mascot-eye: #f7f9fc;
+  --login-mascot-pupil: #1a2440;
+  --login-mascot-height: clamp(150px, 15vw, 260px);
 
   --font-size-aux: 11.5px;
   --font-size-caption: 12.5px;
@@ -516,6 +541,10 @@
   --warning-line-strong: #66502d;
   --control-shadow: 0 1px 3px rgba(0, 0, 0, .3);
   --login-brand-gradient: linear-gradient(165deg, #080c18, #0e1730, #14224a);
+  --login-stat-chip-bg: rgba(6, 8, 16, 0.58);
+  --login-candle-up: #f06d73;
+  --login-candle-down: #43bc8a;
+  --login-trend-line: rgba(232, 236, 244, 0.9);
   --dialog-backdrop: var(--backdrop);
   --ladder-level-1: #2d2426;
   --ladder-level-2: #2b2822;

tests/e2e/app-shell.spec.js

@@ -3868,3 +3868,99 @@ test("desktop header keeps commands in view and tape text unclipped across works
   await page.screenshot({ path: path.join(shotDir, "admin-390-night.png") });
   fs.writeFileSync(path.join(shotDir, "measurements.json"), `${JSON.stringify(measurements, null, 2)}\n`);
 });
+
+test("HEL-183 heaven tools right-align and shell heights unify", async ({ page }) => {
+  const fs = require("node:fs");
+  const path = require("node:path");
+  const shotDir = path.join(__dirname, "../../runtime/hel183-shots");
+  fs.mkdirSync(shotDir, { recursive: true });
+  await page.setViewportSize({ width: 1440, height: 900 });
+  await mockApplication(page, session("admin", true));
+  await page.goto("/index.html");
+
+  const measure = () => page.evaluate(() => {
+    const box = (node) => {
+      if (!node) return null;
+      const r = node.getBoundingClientRect();
+      return { x: r.x, y: r.y, right: r.right, width: r.width, height: r.height };
+    };
+    const brand = document.querySelector(".module-nav .sidebar-brand") || document.querySelector(".sidebar-brand");
+    const header = document.querySelector(".app-header");
+    const actions = document.querySelector(".header-actions");
+    const collapse = document.querySelector(".sidebar-collapse-button");
+    const status = document.querySelector(".status-bar");
+    const overview = document.querySelector(".overview-strip");
+    const brandBox = box(brand);
+    const headerBox = box(header);
+    const actionsBox = box(actions);
+    const collapseBox = box(collapse);
+    const statusBox = box(status);
+    return {
+      brandHeight: brandBox ? Math.round(brandBox.height) : null,
+      headerHeight: headerBox ? Math.round(headerBox.height) : null,
+      brandBottom: brandBox ? Math.round(brandBox.y + brandBox.height) : null,
+      headerBottom: headerBox ? Math.round(headerBox.y + headerBox.height) : null,
+      collapseHeight: collapseBox ? Math.round(collapseBox.height) : null,
+      statusHeight: statusBox ? Math.round(statusBox.height) : null,
+      actionsNearRight: actionsBox && headerBox ? (headerBox.right - actionsBox.right) < 24 : false,
+      actionsMarginLeft: actions ? getComputedStyle(actions).marginLeft : null,
+      overviewDisplay: overview ? getComputedStyle(overview).display : null,
+      mentorPadTop: (() => {
+        const mentor = document.querySelector("#mentorView");
+        return mentor ? getComputedStyle(mentor).paddingTop : null;
+      })(),
+    };
+  });
+
+  await page.locator('[data-view="sentimentCycleView"]').first().click();
+  await expect(page.locator("#sentimentCycleView")).toHaveClass(/active-view/);
+  let geo = await measure();
+  expect(geo.brandHeight, "logo height").toBe(64);
+  expect(geo.headerHeight, "header height").toBe(64);
+  expect(geo.brandBottom, "logo/header bottom align").toBe(geo.headerBottom);
+  expect(geo.collapseHeight, "collapse height").toBe(28);
+  expect(geo.statusHeight, "status height").toBe(28);
+  expect(geo.actionsNearRight, "sentiment tools right").toBe(true);
+  await page.locator(".app-header").screenshot({ path: path.join(shotDir, "sentiment-header-day.png") });
+  await page.screenshot({ path: path.join(shotDir, "sentiment-page-day.png") });
+
+  await page.locator('[data-view="heavenView"]').first().click();
+  await expect(page.locator("#heavenView")).toHaveClass(/active-view/);
+  await expect(page.locator("#heavenView .heaven-page-head")).toBeVisible();
+  await expect(page.locator("#heavenView .heaven-page-head .segment")).toHaveCount(3);
+  geo = await measure();
+  expect(geo.overviewDisplay, "heaven hides overview").toBe("none");
+  expect(geo.actionsMarginLeft, "tools margin-left resolved").not.toBe("0px");
+  expect(Number.parseFloat(geo.actionsMarginLeft), "tools left auto gap").toBeGreaterThan(40);
+  expect(geo.actionsNearRight, "heaven tools right").toBe(true);
+  expect(geo.brandHeight).toBe(64);
+  expect(geo.collapseHeight).toBe(28);
+  await page.locator(".app-header").screenshot({ path: path.join(shotDir, "heaven-header-day.png") });
+  await page.screenshot({ path: path.join(shotDir, "heaven-page-day.png") });
+
+  await page.locator('[data-heaven-panel="fortune"]').click();
+  await expect(page.locator('[data-heaven-panel="fortune"]')).toHaveClass(/active/);
+  await expect(page.locator("#heavenFortunePanel")).toHaveClass(/active-heaven-panel/);
+
+  await page.locator('[data-view="mentorView"]').first().click();
+  await expect(page.locator("#mentorView")).toHaveClass(/active-view/);
+  geo = await measure();
+  expect(geo.mentorPadTop, "mentor top padding").toBe("14px");
+  await page.screenshot({ path: path.join(shotDir, "mentor-page-day.png") });
+
+  await page.locator("#themeToggle").click();
+  await page.locator('[data-view="heavenView"]').first().click();
+  await expect(page.locator("#heavenView")).toHaveClass(/active-view/);
+  geo = await measure();
+  expect(geo.actionsNearRight, "heaven night tools right").toBe(true);
+  expect(geo.brandHeight).toBe(64);
+  await page.locator(".app-header").screenshot({ path: path.join(shotDir, "heaven-header-night.png") });
+  await page.screenshot({ path: path.join(shotDir, "heaven-page-night.png") });
+
+  await page.locator('[data-view="sentimentCycleView"]').first().click();
+  await page.locator(".app-header").screenshot({ path: path.join(shotDir, "sentiment-header-night.png") });
+  await page.screenshot({ path: path.join(shotDir, "sentiment-page-night.png") });
+
+  await page.locator('[data-view="mentorView"]').first().click();
+  await page.screenshot({ path: path.join(shotDir, "mentor-page-night.png") });
+});

tests/e2e/login-portal.spec.js

@@ -1,4 +1,9 @@
 const { test, expect } = require("@playwright/test");
+const fs = require("fs");
+const path = require("path");
+
+const SHOT_DIR = path.resolve(__dirname, "../../../verify-shots");
+fs.mkdirSync(SHOT_DIR, { recursive: true });
 
 function loginPayload(user) {
   return {
@@ -54,6 +59,15 @@ async function mockLoginPortal(page, options = {}) {
       return;
     }
     if ((url.pathname === "/api/auth/login" || url.pathname === "/api/auth/register") && method === "POST") {
+      if (options.loginDelay) await new Promise((resolve) => setTimeout(resolve, options.loginDelay));
+      if (options.loginFails) {
+        await route.fulfill({
+          status: 401,
+          contentType: "application/json",
+          body: JSON.stringify({ error: "账号名或密码不正确，请重新输入。" }),
+        });
+        return;
+      }
       await route.fulfill({
         status: 200,
         contentType: "application/json",
@@ -67,14 +81,58 @@ async function mockLoginPortal(page, options = {}) {
       return;
     }
     if (url.pathname === "/api/auth/me") {
+      const current = accounts.find((item) => Number(item.user_id) === Number(currentUserId)) || null;
+      const authenticated = Boolean(current) && !options.sessionExpired;
       await route.fulfill({
         status: 200,
         contentType: "application/json",
         body: JSON.stringify({
           ok: true,
-          authenticated: Boolean(currentUserId),
+          authenticated,
           csrf_token: "portal-csrf",
-          user: accounts.find((item) => Number(item.user_id) === Number(currentUserId)) || null,
+          user: authenticated ? {
+            id: current.user_id,
+            username: current.username,
+            role: current.role,
+            membership: current.membership,
+          } : null,
+        }),
+      });
+      return;
+    }
+    if (url.pathname === "/api/dashboard") {
+      await route.fulfill({
+        status: 200,
+        contentType: "application/json",
+        body: JSON.stringify({
+          ok: true,
+          meta: {
+            trade_date: "2026-07-22",
+            requested_date: "2026-07-22",
+            source: "tushare",
+            realtime: false,
+            cached: true,
+            market_status: "closed",
+            updated_at: "2026-07-22T15:00:00+08:00",
+          },
+          overview: {
+            up_count: 2100,
+            down_count: 2800,
+            limit_up_count: 42,
+            limit_down_count: 8,
+            broken_count: 17,
+            seal_rate: 71.2,
+            amount_billion: 12600,
+            sentiment_score: 48,
+          },
+          limits: [],
+          broken: [],
+          down_limits: [],
+          yesterday_limits: [],
+          limit_performance: [],
+          ladders: [],
+          sectors: [],
+          sector_rotation: [],
         }),
       });
       return;
@@ -149,3 +207,350 @@ test("managing accounts removes a local record after inline confirmation", async
   await expect(page.locator(".login-account-row")).toHaveCount(1);
   await expect(page.locator(".login-account-row")).toContainText("alpha_user");
 });
+
+async function assertConfirmedSkeleton(page, { width, height }) {
+  await expect(page.locator(".login-brand-title")).toHaveText("看懂情绪周期，把复盘变成下一次的先手。");
+  await expect(page.locator(".login-brand-header")).toBeVisible();
+  await expect(page.locator(".login-brand-chart")).toBeVisible();
+  await expect(page.locator(".login-brand-stats")).toBeVisible();
+  await expect(page.locator(".login-brand-kicker")).toHaveText("收盘之后 · 复盘开始");
+  const brand = await page.locator(".login-brand").boundingBox();
+  const header = await page.locator(".login-brand-header").boundingBox();
+  const mark = await page.locator(".login-brand-mark").boundingBox();
+  const name = await page.locator(".login-brand-name").boundingBox();
+  const title = await page.locator(".login-brand-title").boundingBox();
+  const stats = await page.locator(".login-brand-stats").boundingBox();
+  const chart = await page.locator(".login-brand-chart").boundingBox();
+  const card = await page.locator(".login-card").boundingBox();
+  expect(brand).toBeTruthy();
+  expect(header.y - brand.y).toBeLessThan(48);
+  expect(Math.abs(mark.y - name.y)).toBeLessThan(16);
+  expect(title.y).toBeGreaterThan(height * 0.28);
+  expect(title.y).toBeLessThan(height * 0.72);
+  expect(stats.y).toBeGreaterThan(height * 0.55);
+  expect(chart.height).toBeGreaterThan(80);
+  await expect(page.locator("#loginMascots")).toBeVisible();
+  expect(card.width).toBeGreaterThan(380);
+  expect(card.width).toBeLessThan(450);
+  if (width === 1440) {
+    expect(brand.width).toBeGreaterThan(470);
+    expect(brand.width).toBeLessThan(520);
+    expect(brand.height).toBe(height);
+    const mascots = await page.locator("#loginMascots").boundingBox();
+    const kicker = await page.locator(".login-brand-kicker").boundingBox();
+    expect(mascots).toBeTruthy();
+    expect(kicker).toBeTruthy();
+    expect(mascots.y).toBeGreaterThan(header.y + header.height - 4);
+    expect(mascots.y + mascots.height).toBeLessThan(kicker.y + 8);
+    const gapTop = header.y + header.height;
+    const gapBottom = kicker.y;
+    const mid = (gapTop + gapBottom) / 2;
+    const mascotMid = mascots.y + mascots.height / 2;
+    expect(Math.abs(mascotMid - mid)).toBeLessThan(48);
+    expect(title.y).toBeGreaterThan(470);
+    expect(title.y).toBeLessThan(580);
+  } else if (width === 1920) {
+    expect(brand.width).toBeGreaterThan(540);
+    expect(brand.width).toBeLessThan(580);
+  } else {
+    expect(brand.width).toBeGreaterThan(560);
+  }
+}
+
+async function openPortal(page, { theme, width, height, accounts, currentUserId, loginFails, loginDelay }) {
+  await page.addInitScript((nextTheme) => {
+    localStorage.setItem("xiaobaiTheme", nextTheme);
+  }, theme);
+  await page.setViewportSize({ width, height });
+  await mockLoginPortal(page, { accounts, currentUserId, loginFails, loginDelay });
+  await page.goto("/login/");
+}
+
+for (const theme of ["light", "dark"]) {
+  for (const [width, height] of [[1440, 900], [1920, 1080]]) {
+    test(`confirmed skeleton ${theme} ${width}x${height}`, async ({ page }) => {
+      await openPortal(page, { theme, width, height, accounts: [] });
+      await assertConfirmedSkeleton(page, { width, height });
+      await expect(page.locator("#loginThemeToggle")).toHaveText(theme === "dark" ? "☀ 日间" : "🌙 夜间");
+      await page.screenshot({ path: path.join(SHOT_DIR, `first-${theme}-${width}.png`), fullPage: true });
+    });
+  }
+}
+
+test("ultrawide keeps the left brand from collapsing into a strip", async ({ page }) => {
+  await openPortal(page, { theme: "dark", width: 2560, height: 1080, accounts: [] });
+  await assertConfirmedSkeleton(page, { width: 2560, height: 1080 });
+});
+
+test("picker add remove error and loading share the same desktop skeleton", async ({ page }) => {
+  const accounts = SAVED_ACCOUNTS.map((item) => ({ ...item }));
+  await openPortal(page, {
+    theme: "dark",
+    width: 1440,
+    height: 900,
+    accounts,
+    currentUserId: 1,
+  });
+  await assertConfirmedSkeleton(page, { width: 1440, height: 900 });
+  await expect(page.locator(".login-card-title")).toHaveText("选择账号");
+  await expect(page.locator(".login-avatar")).toHaveCount(2);
+  await expect(page.locator(".login-add")).toBeVisible();
+  await page.screenshot({ path: path.join(SHOT_DIR, "picker-dark-1440.png"), fullPage: true });
+
+  await page.locator('[data-login-action="add"]').click();
+  await expect(page.locator(".login-card-title")).toHaveText("添加账号");
+  await assertConfirmedSkeleton(page, { width: 1440, height: 900 });
+  await page.screenshot({ path: path.join(SHOT_DIR, "add-dark-1440.png"), fullPage: true });
+
+  await page.locator('[data-login-action="picker"]').click();
+  await page.locator('[data-login-action="manage"]').click();
+  await expect(page.locator(".login-card-title")).toHaveText("管理账号记录");
+  await page.locator('[data-confirm-id="2"]').click();
+  await expect(page.locator(".login-confirm-copy")).toContainText("beta_user");
+  await page.screenshot({ path: path.join(SHOT_DIR, "remove-dark-1440.png"), fullPage: true });
+});
+
+test("login failure and loading keep the confirmed first-login skeleton", async ({ page }) => {
+  await openPortal(page, {
+    theme: "light",
+    width: 1440,
+    height: 900,
+    accounts: [],
+    loginFails: true,
+  });
+  await page.locator("#loginUsername").fill("baiqizhi");
+  await page.locator("#loginPassword").fill("wrong-password");
+  await page.locator(".login-submit").click();
+  await expect(page.locator(".login-error")).toContainText("账号名或密码不正确");
+  await expect(page.locator("#loginPassword")).toHaveClass(/is-invalid/);
+  await assertConfirmedSkeleton(page, { width: 1440, height: 900 });
+  await page.screenshot({ path: path.join(SHOT_DIR, "error-light-1440.png"), fullPage: true });
+});
+
+test("loading button appears on the confirmed first-login skeleton", async ({ page }) => {
+  await openPortal(page, {
+    theme: "dark",
+    width: 1440,
+    height: 900,
+    accounts: [],
+    loginDelay: 2500,
+  });
+  await page.evaluate(() => {
+    window.location.replace = () => {};
+  });
+  await page.locator("#loginUsername").fill("baiqizhi");
+  await page.locator("#loginPassword").fill("password12");
+  const submit = page.locator(".login-submit").click();
+  await expect(page.locator(".login-submit")).toContainText("正在登录...");
+  await expect(page.locator(".login-spinner")).toBeVisible();
+  await assertConfirmedSkeleton(page, { width: 1440, height: 900 });
+  await page.screenshot({ path: path.join(SHOT_DIR, "loading-dark-1440.png"), fullPage: true });
+  await submit;
+});
+
+async function openPicker(page, options = {}) {
+  const accounts = options.accounts || SAVED_ACCOUNTS.map((item) => ({ ...item }));
+  const currentUserId = options.currentUserId ?? 1;
+  const next = options.next || "/index.html?view=sentimentCycleView";
+  await page.unroute("**/api/**").catch(() => {});
+  await mockLoginPortal(page, {
+    accounts,
+    currentUserId,
+    sessionExpired: options.sessionExpired,
+    switchFails: options.switchFails,
+  });
+  await page.goto(`/login/?next=${encodeURIComponent(next)}`);
+  await expect(page.locator(".login-card-title")).toHaveText("选择账号");
+}
+
+test("clicking the current account from two workspace pages returns without switching", async ({ page }) => {
+  const views = ["sentimentCycleView", "ladderView"];
+  for (const viewId of views) {
+    const next = `/index.html?view=${viewId}`;
+    const switchCalls = [];
+    const onRequest = (request) => {
+      if (request.url().includes("/api/auth/switch") && request.method() === "POST") {
+        switchCalls.push(request);
+      }
+    };
+    page.on("request", onRequest);
+    await openPicker(page, { next });
+    await expect(page.locator('[data-resume-id="1"]')).toContainText("继续使用");
+    await expect(page.locator('[data-resume-id="1"]')).toContainText("当前");
+    await page.locator('[data-resume-id="1"]').click();
+    await expect(page).toHaveURL(new RegExp(`[?&]view=${viewId}\\b`));
+    expect(switchCalls).toEqual([]);
+    page.off("request", onRequest);
+  }
+});
+
+test("a lone current account can return from the picker instead of dead-ending", async ({ page }) => {
+  await openPicker(page, {
+    accounts: [SAVED_ACCOUNTS[0]],
+    currentUserId: 1,
+    next: "/index.html?view=reviewWorkspaceView",
+  });
+  await expect(page.locator(".login-account-row")).toHaveCount(1);
+  await expect(page.locator('[data-switch-id]')).toHaveCount(0);
+  await page.locator('[data-resume-id="1"]').click();
+  await expect(page).toHaveURL(/view=reviewWorkspaceView/);
+});
+
+test("the return control also restores the originating workspace page", async ({ page }) => {
+  await openPicker(page, { next: "/index.html?view=ladderView" });
+  await page.locator('[data-login-action="resume"]').click();
+  await expect(page).toHaveURL(/view=ladderView/);
+});
+
+test("refreshing the picker still returns to the originating page", async ({ page }) => {
+  await openPicker(page, { next: "/index.html?view=sentimentCycleView" });
+  await page.reload();
+  await expect(page.locator(".login-card-title")).toHaveText("选择账号");
+  await page.locator('[data-resume-id="1"]').click();
+  await expect(page).toHaveURL(/view=sentimentCycleView/);
+});
+
+test("an expired current session asks for login instead of pretending to return", async ({ page }) => {
+  await openPicker(page, {
+    next: "/index.html?view=sentimentCycleView",
+    sessionExpired: true,
+  });
+  await page.locator('[data-resume-id="1"]').click();
+  await expect(page.locator(".login-error")).toHaveText("当前会话已失效，请重新登录");
+  await expect(page).toHaveURL(/\/login\/?/);
+});
+
+test("other saved accounts still switch while the current row only resumes", async ({ page }) => {
+  await openPicker(page, { next: "/index.html?view=auctionView" });
+  const switched = page.waitForRequest((request) => (
+    request.url().includes("/api/auth/switch") && request.method() === "POST"
+  ));
+  await page.locator('[data-switch-id="2"]').click();
+  const request = await switched;
+  expect(JSON.parse(request.postData() || "{}")).toEqual({ user_id: 2 });
+});
+
+test("workspace switch-account menu carries the current page back to the picker", async ({ page }) => {
+  await mockLoginPortal(page, {
+    accounts: SAVED_ACCOUNTS.map((item) => ({ ...item })),
+    currentUserId: 1,
+  });
+  await page.goto("/index.html?view=sentimentCycleView");
+  await expect(page.locator("#accountButton")).toBeVisible();
+  await page.locator("#accountButton").click();
+  await page.locator("#switchAccountMenuButton").click();
+  await expect(page).toHaveURL(/\/login\/\?next=/);
+  await expect(page.locator(".login-card-title")).toHaveText("选择账号");
+  await page.locator('[data-resume-id="1"]').click();
+  await expect(page).toHaveURL(/view=sentimentCycleView/);
+});
+
+test("workspace switch-account from a second page also returns to that page", async ({ page }) => {
+  await mockLoginPortal(page, {
+    accounts: SAVED_ACCOUNTS.map((item) => ({ ...item })),
+    currentUserId: 1,
+  });
+  await page.goto("/index.html?view=ladderView");
+  await expect(page.locator("#accountButton")).toBeVisible();
+  await page.locator("#accountButton").click();
+  await page.locator("#switchAccountMenuButton").click();
+  await expect(page.locator(".login-card-title")).toHaveText("选择账号");
+  await page.locator('[data-resume-id="1"]').click();
+  await expect(page).toHaveURL(/view=ladderView/);
+});
+
+test("desktop mascots react to account focus, password, toggle, loading, success and failure", async ({ page }) => {
+  await openPortal(page, { theme: "light", width: 1440, height: 900, accounts: [] });
+  const mascots = page.locator("#loginMascots");
+  await expect(mascots).toHaveAttribute("data-mood", "idle");
+  await page.locator("#loginUsername").focus();
+  await expect(mascots).toHaveAttribute("data-mood", "account");
+  await page.locator("#loginPassword").focus();
+  await expect(mascots).toHaveAttribute("data-mood", "password");
+  await expect.poll(async () => (
+    page.locator(".login-mascot.is-red .login-mascot-hand.is-left").evaluate((node) => getComputedStyle(node).opacity)
+  )).toBe("1");
+  await page.locator(".login-password-toggle").click();
+  await expect(page.locator("#loginPassword")).toHaveAttribute("type", "text");
+  await expect(mascots).toHaveAttribute("data-mood", "password");
+  await page.locator(".login-password-toggle").click();
+  await expect(page.locator("#loginPassword")).toHaveAttribute("type", "password");
+  await expect(mascots).toHaveAttribute("data-mood", "password");
+  await page.screenshot({ path: path.join(SHOT_DIR, "mascots-password-light-1440.png"), fullPage: true });
+});
+
+test("login loading and failure drive short mascot feedback", async ({ page }) => {
+  await openPortal(page, {
+    theme: "dark",
+    width: 1440,
+    height: 900,
+    accounts: [],
+    loginFails: true,
+    loginDelay: 800,
+  });
+  await page.locator("#loginUsername").fill("baiqizhi");
+  await page.locator("#loginPassword").fill("wrong-password");
+  const submit = page.locator(".login-submit").click();
+  await expect(page.locator("#loginMascots")).toHaveAttribute("data-mood", "busy");
+  await expect(page.locator(".login-error")).toContainText("账号名或密码不正确");
+  await expect(page.locator("#loginMascots")).toHaveAttribute("data-mood", "fail");
+  await page.screenshot({ path: path.join(SHOT_DIR, "mascots-fail-dark-1440.png"), fullPage: true });
+  await submit;
+});
+
+test("login success plays a hop before leaving the portal", async ({ page }) => {
+  await openPortal(page, { theme: "light", width: 1440, height: 900, accounts: [] });
+  await page.evaluate(() => {
+    window.location.replace = () => {};
+  });
+  await page.locator("#loginUsername").fill("baiqizhi");
+  await page.locator("#loginPassword").fill("password12");
+  const submit = page.locator(".login-submit").click();
+  await expect(page.locator("#loginMascots")).toHaveAttribute("data-mood", /busy|success/);
+  await expect(page.locator("#loginMascots")).toHaveAttribute("data-mood", "success", { timeout: 4000 });
+  await page.screenshot({ path: path.join(SHOT_DIR, "mascots-success-light-1440.png"), fullPage: true });
+  await submit;
+});
+
+test("reduced motion keeps static mascots without mouse tracking", async ({ page }) => {
+  await page.emulateMedia({ reducedMotion: "reduce" });
+  await openPortal(page, { theme: "dark", width: 1440, height: 900, accounts: [] });
+  const mascots = page.locator("#loginMascots");
+  await expect(mascots).toBeVisible();
+  await expect(mascots).toHaveAttribute("data-mood", "idle");
+  const before = await mascots.evaluate((node) => getComputedStyle(node.querySelector(".login-mascot.is-red")).getPropertyValue("--pupil-x"));
+  await page.mouse.move(1200, 120);
+  await page.waitForTimeout(120);
+  const after = await mascots.evaluate((node) => getComputedStyle(node.querySelector(".login-mascot.is-red")).getPropertyValue("--pupil-x"));
+  expect(after).toBe(before);
+  await page.locator("#loginPassword").focus();
+  await expect(mascots).toHaveAttribute("data-mood", "password");
+  await page.screenshot({ path: path.join(SHOT_DIR, "mascots-reduced-dark-1440.png"), fullPage: true });
+});
+
+test("mouse follow updates mascot pupils on a fine pointer", async ({ page }) => {
+  await openPortal(page, { theme: "light", width: 1440, height: 900, accounts: [] });
+  const mascots = page.locator("#loginMascots");
+  await page.mouse.move(80, 160);
+  await page.waitForTimeout(180);
+  const left = await mascots.evaluate((node) => getComputedStyle(node.querySelector(".login-mascot.is-red")).getPropertyValue("--pupil-x"));
+  await page.mouse.move(1280, 200);
+  await page.waitForTimeout(180);
+  const right = await mascots.evaluate((node) => getComputedStyle(node.querySelector(".login-mascot.is-red")).getPropertyValue("--pupil-x"));
+  expect(Number.parseFloat(right)).toBeGreaterThan(Number.parseFloat(left));
+});
+
+test("narrow screens hide mascots without moving the login card", async ({ page }) => {
+  await openPortal(page, { theme: "light", width: 800, height: 900, accounts: [] });
+  await expect(page.locator("#loginMascots")).toBeHidden();
+  await expect(page.locator(".login-card-title")).toHaveText("欢迎回来");
+  await expect(page.locator(".login-brand-title")).toBeHidden();
+});
+
+test("theme toggle keeps mascots in the brand gap", async ({ page }) => {
+  await openPortal(page, { theme: "light", width: 1440, height: 900, accounts: [] });
+  await page.locator("#loginThemeToggle").click();
+  await expect(page.locator("html")).toHaveAttribute("data-theme", "dark");
+  await assertConfirmedSkeleton(page, { width: 1440, height: 900 });
+  await page.screenshot({ path: path.join(SHOT_DIR, "mascots-idle-dark-1440.png"), fullPage: true });
+});

tests/e2e/mobile-app.spec.js

@@ -138,6 +138,11 @@ async function mockMobileApi(page, options = {}) {
       payload = { items: [] };
     } else if (path === "/api/search") {
       payload = { groups: { stocks: [{ id: "002141", code: "002141", name: "贤丰控股", type: "stock", industry: "电子元件" }], sectors: [], themes: [], indices: [] } };
+    } else if (path === "/api/auth/accounts") {
+      payload = {
+        accounts: [{ user_id: auth.user.id, username: auth.user.username, role: auth.user.role, last_used_at: "2026-07-22T09:12:00+08:00" }],
+        current_user_id: auth.user.id,
+      };
     } else if (path === "/api/account/status") {
       payload = {
         birth_profile_configured: true,
@@ -284,12 +289,16 @@ test("mobile login renders before authentication", async ({ page }) => {
 test("four hub pages render their icon grids", async ({ page }) => {
   await mockMobileApi(page);
   await openMobile(page);
-  for (const hub of ["market", "tools", "review", "system"]) {
+  for (const hub of ["market", "tools", "review"]) {
     await page.evaluate((h) => { window.MobileRouter.navigate("#/hub/" + h); }, hub);
     await expect(page.locator(".m-hub-grid")).toBeVisible();
     await expect(page.locator(".m-hub-grid .m-grid-item").first()).toBeVisible();
     expect(await measureOverflow(page)).toBeLessThanOrEqual(1);
   }
+  await page.evaluate(() => { window.MobileRouter.navigate("#/hub/system"); });
+  await expect(page.locator("[data-system-page='home']")).toBeVisible();
+  await expect(page.locator(".m-sys-row").first()).toBeVisible();
+  expect(await measureOverflow(page)).toBeLessThanOrEqual(1);
 });
 
 for (const theme of ["day", "night"]) {
@@ -344,7 +353,7 @@ test("system management pages render real content instead of placeholders", asyn
   }
   await navigateToFeature(page, "system/profile");
   await expect(page.locator("#m-sys-birth-date")).toBeVisible();
-  await expect(page.locator("[data-system-switch]")).toBeVisible();
+  await expect(page.locator("[data-system-save-birth]")).toBeVisible();
   await navigateToFeature(page, "system/password");
   await expect(page.locator("#m-sys-password-current")).toBeVisible();
   await navigateToFeature(page, "system/membership");
@@ -355,7 +364,64 @@ test("system management pages render real content instead of placeholders", asyn
   await expect(page.locator("#m-sys-member-limit")).toBeVisible();
 });
 
-test("empty profile save click shows a toast instead of a dead button", async ({ page }) => {
+test("system home groups entries and keeps admin-only items gated", async ({ page }) => {
+  await mockMobileApi(page);
+  await openMobile(page);
+  await page.evaluate(() => { window.MobileRouter.navigate("#/hub/system"); });
+  await expect(page.locator("[data-system-page='home']")).toBeVisible();
+  await expect(page.locator("#m-view")).toContainText("账号");
+  await expect(page.locator("#m-view")).toContainText("偏好");
+  await expect(page.locator("#m-view")).toContainText("管理员专区");
+  await expect(page.locator("[data-theme-toggle]")).toBeVisible();
+  await expect(page.locator("[data-system-switch]")).toBeVisible();
+  expect(await measureOverflow(page)).toBeLessThanOrEqual(1);
+});
+
+test("system settings tabs, model editor, delete confirm and theme toggle work", async ({ page }) => {
+  await mockMobileApi(page);
+  await openMobile(page);
+  await navigateToFeature(page, "system/admin");
+  await expect(page.locator("[data-system-admin-panel='market']")).toBeVisible();
+  await page.locator("[data-system-admin-tab='models']").click();
+  await expect(page.locator("[data-system-admin-panel='models']")).toBeVisible();
+  await page.locator("[data-system-edit-model]").first().click();
+  await expect(page.locator(".m-sheet-root.is-open")).toBeVisible();
+  await expect(page.locator(".m-sheet-head h2")).toHaveText("编辑模型");
+  await page.locator("[data-sheet-close]").click();
+  await page.locator("[data-system-admin-tab='market']").click();
+  await expect(page.locator("#m-sys-token")).toBeVisible();
+
+  await navigateToFeature(page, "system/profile");
+  await page.locator("[data-system-delete-birth]").click();
+  await expect(page.locator(".m-dialog")).toBeVisible();
+  await expect(page.locator(".m-dialog")).toContainText("删除命理资料");
+  await page.locator("[data-sheet-close]").click();
+
+  await page.evaluate(() => { window.MobileRouter.navigate("#/hub/system"); });
+  await expect(page.locator("[data-theme-toggle]")).toBeVisible();
+  const before = await page.locator("#m-app").getAttribute("data-theme");
+  await page.locator("[data-theme-toggle]").click();
+  await expect.poll(async () => page.locator("#m-app").getAttribute("data-theme")).not.toBe(before);
+
+  await navigateToFeature(page, "system/members");
+  await page.locator("[data-system-open-member]").click();
+  await expect(page.locator(".m-sheet-root.is-open")).toBeVisible();
+  await expect(page.locator(".m-sheet-head h2")).toContainText("管理会员");
+});
+
+test("password mismatch shows inline error instead of a silent submit", async ({ page }) => {
+  await mockMobileApi(page);
+  await openMobile(page);
+  await navigateToFeature(page, "system/password");
+  await page.locator("#m-sys-password-current").fill("OldPass12");
+  await page.locator("#m-sys-password-new").fill("NewPass123");
+  await page.locator("#m-sys-password-confirm").fill("OtherPass123");
+  await page.locator("[data-system-save-password]").click();
+  await expect(page.locator("[data-field-error='confirm']")).toBeVisible();
+  await expect(page.locator("[data-field-error='confirm']")).toContainText("两次输入的密码不一致");
+});
+
+test("empty birth profile save shows a validation toast", async ({ page }) => {
   await mockMobileApi(page);
   await openMobile(page);
   await navigateToFeature(page, "system/profile");
@@ -371,9 +437,10 @@ test("non-admin cannot open system admin pages as placeholders", async ({ page }
   await mockMobileApi(page, { auth: authSession("user", true) });
   await openMobile(page);
   await page.evaluate(() => { window.MobileRouter.navigate("#/hub/system"); });
-  await expect(page.locator(".m-hub-grid")).toBeVisible();
-  await expect(page.locator('.m-grid-item[data-route="#/feature/system/admin"]')).toHaveCount(0);
-  await expect(page.locator('.m-grid-item[data-route="#/feature/system/members"]')).toHaveCount(0);
+  await expect(page.locator("[data-system-page='home']")).toBeVisible();
+  await expect(page.locator('[data-route="#/feature/system/admin"]')).toHaveCount(0);
+  await expect(page.locator('[data-route="#/feature/system/members"]')).toHaveCount(0);
+  await expect(page.locator("[data-system-switch]")).toBeVisible();
   await navigateToFeature(page, "system/admin");
   await expect(page.locator("#m-view")).not.toContainText(PLACEHOLDER_COPY);
   await expect(page.locator("[data-system-page='forbidden']")).toBeVisible();

tests/test_admin_refresh_status.py

@@ -0,0 +1,453 @@
+from __future__ import annotations
+
+import copy
+import threading
+import unittest
+from datetime import date, datetime, timedelta, timezone, time as dt_time
+from unittest.mock import patch
+from pathlib import Path
+
+from backend.features.market.service import MarketServiceMixin
+from backend.jobs.refresh import (
+    dashboard_has_usable_data,
+    official_catchup_due,
+    verified_dashboard_result,
+)
+from backend.data.providers.tushare_transport import TushareError
+
+
+class AdminRefreshStatusTests(unittest.TestCase):
+    def test_carried_snapshot_is_usable_not_failed_job(self):
+        result = verified_dashboard_result(
+            {
+                "meta": {
+                    "trade_date": "2026-09-01",
+                    "requested_date": "2026-09-02",
+                    "carried_forward": True,
+                    "notice": "今日数据正在准备，当前展示 9 月 1 日",
+                    "data_status": "preparing",
+                },
+                "overview": {"limit_up_count": 12},
+            }
+        )
+
+        self.assertNotEqual(result.get("status"), "failed")
+        self.assertEqual(result["meta"]["data_status"], "preparing")
+        self.assertTrue(dashboard_has_usable_data(result))
+
+    def test_derived_limit_snapshot_is_usable_not_failed_job(self):
+        dashboard = {
+            "meta": {
+                "trade_date": "2026-09-02",
+                "limit_data_source": "derived",
+                "notice": "涨跌停高级接口当日数据尚未更新，已使用日线数据推算。",
+                "data_status": "partial",
+            },
+            "overview": {"limit_up_count": 8},
+        }
+
+        self.assertIs(verified_dashboard_result(dashboard), dashboard)
+
+    def test_current_snapshot_is_reported_as_successful_job(self):
+        dashboard = {"meta": {"trade_date": "2026-08-28", "carried_forward": False}}
+
+        self.assertIs(verified_dashboard_result(dashboard), dashboard)
+
+    def test_empty_payload_is_still_failed(self):
+        result = verified_dashboard_result({"meta": {}, "overview": {}})
+        self.assertEqual(result["status"], "failed")
+
+
+class FakeSyncDatabase:
+    def __init__(self, latest=None):
+        self.latest = latest
+        self.saved = []
+        self.finished = []
+
+    def start_sync(self, *_args, **_kwargs):
+        return 1
+
+    def save_snapshot(self, trade_date, source, payload):
+        self.saved.append((trade_date, source, copy.deepcopy(payload)))
+
+    def save_data_snapshot(self, *_args, **_kwargs):
+        return None
+
+    def finish_sync(self, *args, **kwargs):
+        self.finished.append((args, kwargs))
+
+    def get_latest_real_snapshot(self, *_args, **_kwargs):
+        return copy.deepcopy(self.latest)
+
+    def get_snapshot(self, *_args, **_kwargs):
+        return None
+
+    def get_data_snapshot(self, *_args, **_kwargs):
+        return None
+
+    def reason_overrides(self, *_args, **_kwargs):
+        return {}
+
+
+class FakeDerivedClient:
+    def dashboard(self, trade_date: str):
+        return {
+            "meta": {
+                "trade_date": f"{trade_date[:4]}-{trade_date[4:6]}-{trade_date[6:8]}",
+                "limit_data_source": "derived",
+                "notice": "涨跌停高级接口当日数据尚未更新，已使用日线数据推算。",
+                "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
+            },
+            "overview": {"limit_up_count": 3},
+            "limits": [{"code": "000001"}],
+            "broken": [],
+            "down_limits": [],
+            "yesterday_limits": [],
+        }
+
+
+SHANGHAI = timezone(timedelta(hours=8))
+TRADE_DAY = date(2026, 9, 8)
+
+
+def at_clock(hour: int, minute: int, day: date = TRADE_DAY) -> datetime:
+    return datetime(day.year, day.month, day.day, hour, minute, tzinfo=SHANGHAI)
+
+
+class FakeMissingDailyClient:
+    def __init__(self, open_today: bool = True):
+        self.open_today = open_today
+
+    def dashboard(self, trade_date: str):
+        raise TushareError(f"No daily data returned for {trade_date}")
+
+    def resolve_trade_context(self, requested: str):
+        if self.open_today:
+            return requested, "20260907"
+        return "20260907", "20260904"
+
+
+class FakeRealtimeTodayClient:
+    def dashboard(self, trade_date: str):
+        return {
+            "meta": {
+                "trade_date": f"{trade_date[:4]}-{trade_date[4:6]}-{trade_date[6:8]}",
+                "requested_date": f"{trade_date[:4]}-{trade_date[4:6]}-{trade_date[6:8]}",
+                "realtime": True,
+                "mode": "realtime",
+                "market_status": "trading",
+                "notice": "盘中行情由 Tushare rt_k 实时计算；涨停原因、封板时间和开板次数以盘后榜单校正为准。",
+                "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
+            },
+            "overview": {"limit_up_count": 15},
+            "limits": [{"code": "000001"}],
+            "broken": [],
+            "down_limits": [],
+            "yesterday_limits": [],
+        }
+
+    def resolve_trade_context(self, requested: str):
+        return requested, "20260907"
+
+
+class FakeFreeRealtimeTodayClient:
+    def dashboard(self, trade_date: str):
+        return {
+            "meta": {
+                "trade_date": f"{trade_date[:4]}-{trade_date[4:6]}-{trade_date[6:8]}",
+                "requested_date": f"{trade_date[:4]}-{trade_date[4:6]}-{trade_date[6:8]}",
+                "realtime": True,
+                "mode": "realtime",
+                "quote_source": "eastmoney_clist",
+                "source": "eastmoney",
+                "market_status": "trading",
+                "notice": "盘中行情由东财免费实时快照计算；涨停原因、封板时间和开板次数以盘后榜单校正为准。",
+                "updated_at": datetime.now().astimezone().isoformat(timespec="seconds"),
+                "indices": [{"code": "000001", "price": 3800.1, "change": 0.5}],
+            },
+            "overview": {"limit_up_count": 18, "up_count": 2100, "amount_billion": 12345.6},
+            "limits": [{"code": "000001"}],
+            "broken": [],
+            "down_limits": [],
+            "yesterday_limits": [],
+        }
+
+    def resolve_trade_context(self, requested: str):
+        return requested, "20260907"
+
+
+class SyncHarness(MarketServiceMixin):
+    def __init__(self, client, latest=None, clock=None):
+        self.configured = True
+        self.sync_lock = threading.Lock()
+        self.database = FakeSyncDatabase(latest)
+        self._client = client
+        self.current_user_id = 1
+        self.clock = clock
+
+    def _tushare_client(self):
+        return self._client
+
+    def _enrich_dashboard_sentiment(self, dashboard, _trade_date):
+        return dashboard
+
+    def _apply_reason_overrides(self, dashboard):
+        return dashboard
+
+
+class DashboardFreshnessTests(unittest.TestCase):
+    def test_derived_limits_are_kept_as_partial_success(self):
+        today = date.today().strftime("%Y%m%d")
+        harness = SyncHarness(FakeDerivedClient())
+        payload = harness.sync_dashboard(today)
+        meta = payload["meta"]
+
+        self.assertEqual(meta["limit_data_source"], "derived")
+        self.assertEqual(meta["data_status"], "partial")
+        self.assertFalse(meta.get("carried_forward"))
+        self.assertIn("日线数据推算", meta["display_notice"])
+        self.assertEqual(harness.database.finished[0][0][1], "success")
+        self.assertEqual(verified_dashboard_result(payload), payload)
+
+    def test_intraday_refresh_keeps_today_and_does_not_fall_back_to_yesterday(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        latest = {
+            "meta": {"trade_date": "2026-09-07", "source": "tushare"},
+            "overview": {"limit_up_count": 20},
+        }
+        harness = SyncHarness(
+            FakeRealtimeTodayClient(),
+            latest,
+            clock=lambda: at_clock(10, 5),
+        )
+        payload = harness.sync_dashboard(today)
+        meta = payload["meta"]
+
+        self.assertFalse(meta.get("carried_forward"))
+        self.assertTrue(meta["realtime"])
+        self.assertEqual(meta["data_status"], "intraday")
+        self.assertEqual(str(meta["trade_date"]).replace("-", ""), today)
+        self.assertNotIn("今日数据正在准备", meta.get("display_notice") or "")
+        self.assertEqual(harness.database.saved[0][0], today)
+
+    def test_intraday_free_source_keeps_today_and_indices(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        latest = {
+            "meta": {"trade_date": "2026-09-07", "source": "tushare"},
+            "overview": {"limit_up_count": 20},
+        }
+        harness = SyncHarness(
+            FakeFreeRealtimeTodayClient(),
+            latest,
+            clock=lambda: at_clock(10, 5),
+        )
+        payload = harness.sync_dashboard(today)
+        meta = payload["meta"]
+        self.assertFalse(meta.get("carried_forward"))
+        self.assertTrue(meta["realtime"])
+        self.assertEqual(meta["data_status"], "intraday")
+        self.assertEqual(str(meta["trade_date"]).replace("-", ""), today)
+        self.assertEqual(meta["quote_source"], "eastmoney_clist")
+        self.assertEqual(payload["overview"]["amount_billion"], 12345.6)
+        self.assertEqual(meta["indices"][0]["price"], 3800.1)
+        self.assertEqual(harness.database.saved[0][0], today)
+
+    def test_intraday_missing_quotes_do_not_carry_yesterday(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        latest = {
+            "meta": {"trade_date": "2026-09-07", "source": "tushare"},
+            "overview": {"limit_up_count": 20},
+        }
+        harness = SyncHarness(
+            FakeMissingDailyClient(),
+            latest,
+            clock=lambda: at_clock(10, 5),
+        )
+        with self.assertRaises(ValueError) as ctx:
+            harness.sync_dashboard(today)
+        self.assertIn("当天盘中行情", str(ctx.exception))
+        self.assertFalse(harness.database.saved)
+
+    def test_intraday_keeps_existing_today_snapshot_when_refresh_fails(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        existing = {
+            "meta": {
+                "trade_date": "2026-09-08",
+                "realtime": True,
+                "mode": "realtime",
+                "source": "tushare",
+            },
+            "overview": {"limit_up_count": 11},
+            "limits": [{"code": "600000"}],
+            "broken": [],
+            "down_limits": [],
+            "yesterday_limits": [],
+        }
+        harness = SyncHarness(
+            FakeMissingDailyClient(),
+            clock=lambda: at_clock(10, 5),
+        )
+        harness.database.get_snapshot = lambda *_args, **_kwargs: copy.deepcopy(existing)
+        payload = harness.sync_dashboard(today)
+        meta = payload["meta"]
+        self.assertEqual(str(meta["trade_date"]).replace("-", ""), today)
+        self.assertTrue(meta["realtime"])
+        self.assertEqual(meta["data_status"], "intraday")
+        self.assertFalse(meta.get("carried_forward"))
+
+    def test_lunch_and_after_hours_keep_today_until_official_arrives(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        for clock in (lambda: at_clock(12, 0), lambda: at_clock(16, 10)):
+            harness = SyncHarness(
+                FakeRealtimeTodayClient(),
+                clock=clock,
+            )
+            payload = harness.sync_dashboard(today)
+            self.assertEqual(str(payload["meta"]["trade_date"]).replace("-", ""), today)
+            self.assertFalse(payload["meta"].get("carried_forward"))
+
+    def test_preopen_and_weekend_still_carry_last_session(self):
+        latest = {
+            "meta": {"trade_date": "2026-09-07", "source": "tushare"},
+            "overview": {"limit_up_count": 20},
+        }
+        preopen = SyncHarness(
+            FakeMissingDailyClient(),
+            latest,
+            clock=lambda: at_clock(8, 30),
+        )
+        preopen_payload = preopen.sync_dashboard(TRADE_DAY.strftime("%Y%m%d"))
+        self.assertTrue(preopen_payload["meta"]["carried_forward"])
+        self.assertEqual(preopen_payload["meta"]["data_status"], "preparing")
+        self.assertIn("今日数据正在准备，当前展示", preopen_payload["meta"]["display_notice"])
+
+        weekend = SyncHarness(
+            FakeMissingDailyClient(open_today=False),
+            latest,
+            clock=lambda: at_clock(10, 5, date(2026, 9, 5)),
+        )
+        weekend_payload = weekend.sync_dashboard("20260905")
+        self.assertTrue(weekend_payload["meta"]["carried_forward"])
+
+    def test_history_date_still_uses_official_or_preparing_notice(self):
+        latest = {
+            "meta": {"trade_date": "2026-09-01", "source": "tushare"},
+            "overview": {"limit_up_count": 8},
+        }
+        harness = SyncHarness(
+            FakeMissingDailyClient(),
+            latest,
+            clock=lambda: at_clock(10, 5),
+        )
+        payload = harness.sync_dashboard("20260902")
+        self.assertTrue(payload["meta"]["carried_forward"])
+        self.assertIn("所选日期数据尚未到齐", payload["meta"]["display_notice"])
+
+    def test_carried_today_snapshot_is_retried_immediately_in_session(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        snapshot = {
+            "meta": {
+                "source": "tushare",
+                "trade_date": "2026-09-07",
+                "carried_forward": True,
+                "requested_date": "2026-09-08",
+                "updated_at": at_clock(10, 0).isoformat(),
+            },
+            "overview": {"limit_up_count": 1},
+        }
+        harness = SyncHarness(
+            FakeRealtimeTodayClient(),
+            clock=lambda: at_clock(10, 5),
+        )
+        harness.database.get_snapshot = lambda *_args, **_kwargs: copy.deepcopy(snapshot)
+        payload = harness.get_dashboard(today)
+        self.assertEqual(str(payload["meta"]["trade_date"]).replace("-", ""), today)
+        self.assertEqual(payload["meta"]["data_status"], "intraday")
+        self.assertTrue(harness.database.saved)
+
+    def test_weekend_carry_is_not_labeled_as_preparing(self):
+        snapshot = {
+            "meta": {"trade_date": "2026-07-24", "source": "tushare", "updated_at": "2026-07-24T15:00:00+08:00"},
+            "overview": {"limit_up_count": 1},
+        }
+        harness = SyncHarness(FakeMissingDailyClient())
+        carried = harness._carry_dashboard(snapshot, "20260725", "非交易日沿用最近交易日收盘行情")
+        self.assertEqual(carried["meta"]["data_status"], "carried")
+        self.assertIn("非交易日", carried["meta"]["display_notice"])
+
+    def test_stale_derived_snapshot_is_retried(self):
+        today = date.today().strftime("%Y%m%d")
+        old = datetime.now(timezone.utc) - timedelta(minutes=5)
+        snapshot = {
+            "meta": {
+                "source": "tushare",
+                "trade_date": f"{today[:4]}-{today[4:6]}-{today[6:8]}",
+                "limit_data_source": "derived",
+                "updated_at": old.isoformat(),
+            },
+            "overview": {"limit_up_count": 1},
+        }
+        harness = SyncHarness(FakeDerivedClient())
+        harness.database.get_snapshot = lambda *_args, **_kwargs: copy.deepcopy(snapshot)
+        payload = harness.get_dashboard(today)
+        self.assertEqual(payload["meta"]["data_status"], "partial")
+        self.assertTrue(harness.database.saved)
+
+    def test_official_catchup_skips_complete_today_snapshot(self):
+        today = date.today().strftime("%Y%m%d")
+        iso = f"{today[:4]}-{today[4:6]}-{today[6:8]}"
+        due = official_catchup_due(
+            today,
+            {"meta": {"trade_date": iso, "limit_data_source": "official"}},
+        )
+        derived_due = official_catchup_due(
+            today,
+            {"meta": {"trade_date": iso, "limit_data_source": "derived"}},
+        )
+        now = datetime.now().astimezone().time().replace(tzinfo=None)
+        if dt_time(15, 5) <= now < dt_time(22, 0):
+            self.assertFalse(due)
+            self.assertTrue(derived_due)
+        else:
+            self.assertFalse(due)
+            self.assertFalse(derived_due)
+
+    def test_official_catchup_is_due_for_intraday_snapshot_after_close(self):
+        today = TRADE_DAY.strftime("%Y%m%d")
+        snapshot = {
+            "meta": {
+                "trade_date": "2026-09-08",
+                "realtime": True,
+                "mode": "realtime",
+            }
+        }
+        with patch("backend.jobs.refresh.datetime") as mocked:
+            mocked.now.return_value = at_clock(16, 10)
+            mocked.strptime = datetime.strptime
+            self.assertTrue(official_catchup_due(today, snapshot))
+            official = {
+                "meta": {
+                    "trade_date": "2026-09-08",
+                    "limit_data_source": "official",
+                    "realtime": False,
+                }
+            }
+            self.assertFalse(official_catchup_due(today, official))
+
+
+class FrontendRefreshCopyTests(unittest.TestCase):
+    def test_dashboard_script_distinguishes_partial_from_failure(self):
+        script = (Path(__file__).resolve().parents[1] / "frontend" / "shared" / "dashboard.js").read_text(encoding="utf-8")
+        self.assertIn("今日数据正在准备，当前展示", script)
+        self.assertIn("部分正式数据尚未到齐", script)
+        self.assertIn("盘中行情", script)
+        self.assertIn("meta.realtime && actualCompact === requestedCompact", script)
+        self.assertIn('job.status === "failed"', script)
+        failed_block = script.split("if (job.status === \"failed\")", 1)[1].split("const query", 1)[0]
+        self.assertIn("后台刷新失败", failed_block)
+        success_block = script.split("const freshness = dashboardFreshnessMessage(meta);", 1)[1]
+        self.assertNotIn("后台刷新失败", success_block.split("} else {", 1)[0])
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_bootstrap_container.py

@@ -10,7 +10,7 @@ from database import ReviewDatabase
 
 
 class BootstrapContainerTests(unittest.TestCase):
-    def test_environment_credentials_preserve_legacy_model_fallbacks(self) -> None:
+    def test_environment_credentials_exclude_provider_secrets_and_preserve_llm_fallbacks(self) -> None:
         result = environment_credentials(
             {
                 "TUSHARE_TOKEN": " tushare ",
@@ -20,8 +20,8 @@ class BootstrapContainerTests(unittest.TestCase):
                 "LLM_MODEL": "legacy-model",
             }
         )
-        self.assertEqual(result["tushare_token"], "tushare")
-        self.assertEqual(result["ifind_refresh_token"], "refresh")
+        self.assertNotIn("tushare_token", result)
+        self.assertNotIn("ifind_refresh_token", result)
         self.assertEqual(result["platform_llm_primary_api_key"], "legacy-key")
         self.assertEqual(result["platform_llm_primary_base_url"], "https://legacy.example/v1")
         self.assertEqual(result["platform_llm_primary_model"], "legacy-model")
@@ -45,8 +45,9 @@ class BootstrapContainerTests(unittest.TestCase):
             self.assertIs(container.strategy_tracking.repository.database, database)
             self.assertIs(container.alert_service.repository.database, database)
             self.assertIs(container.trade_journal.repository.database, database)
-            self.assertIs(container.chart_data.ifind, container.ifind)
-            self.assertTrue(container.ifind.configured)
+            self.assertIs(container.ifind, container.data_gateway.ifind)
+            self.assertIs(container.chart_data.datahub, container.data_gateway.datahub)
+            self.assertIsNone(container.chart_data.ifind)
 
 
 if __name__ == "__main__":

tests/test_bootstrap_runtime.py

@@ -0,0 +1,34 @@
+import logging
+import unittest
+
+from backend.bootstrap.runtime import configure_logging
+
+
+class ConfigureLoggingTest(unittest.TestCase):
+    def setUp(self) -> None:
+        self._saved_handlers = logging.getLogger().handlers[:]
+        self._saved_level = logging.getLogger().level
+        logging.getLogger().handlers.clear()
+
+    def tearDown(self) -> None:
+        logging.getLogger().handlers[:] = self._saved_handlers
+        logging.getLogger().setLevel(self._saved_level)
+
+    def test_configures_root_logger_at_info(self) -> None:
+        configure_logging()
+        root = logging.getLogger()
+        self.assertTrue(root.handlers)
+        self.assertEqual(root.level, logging.INFO)
+        with self.assertLogs("xiaobai.datahub", level="INFO") as captured:
+            logging.getLogger("xiaobai.datahub").info("datahub shadow %s", {"dataset": "daily"})
+        self.assertIn("datahub shadow", captured.output[0])
+
+    def test_keeps_existing_configuration(self) -> None:
+        handler = logging.NullHandler()
+        logging.getLogger().addHandler(handler)
+        configure_logging()
+        self.assertEqual(logging.getLogger().handlers, [handler])
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_chart_data_provider.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import unittest
 
-from backend.features.market.charts import ChartDataError, EastmoneyChartClient
+from backend.features.market.charts import ChartDataError, EastmoneyChartClient, HIS_TRENDS_URL, MarketChartClient, TRENDS_URL
 from server import DashboardService
 
 
@@ -72,6 +72,170 @@ class ChartDataProviderTests(unittest.TestCase):
             self.client.stock_intraday("abc")
 
 
+class LookbackChartClient(EastmoneyChartClient):
+    def __init__(self) -> None:
+        super().__init__(cache_ttl_seconds=20)
+        self.requests: list[tuple[str, dict[str, str]]] = []
+
+    def _request_json(self, url, params, referer):
+        self.requests.append((url, params))
+        if url == TRENDS_URL and params.get("ndays") == "1":
+            return {"data": {"code": "601318", "name": "中国平安", "preClose": 56.0, "trends": []}}
+        if url == TRENDS_URL and params.get("ndays") == "5":
+            return {"data": {"code": "601318", "name": "中国平安", "preClose": 56.0, "trends": []}}
+        if url == HIS_TRENDS_URL:
+            return {
+                "data": {
+                    "code": "601318",
+                    "name": "中国平安",
+                    "preClose": 55.8,
+                    "trends": [
+                        "2026-09-07 09:30,55.80,55.90,56.00,55.70,100,5580.00,55.900",
+                        "2026-09-07 15:00,56.10,56.20,56.30,56.00,200,11240.00,56.150",
+                        "2026-09-08 09:30,0,0,0,0,0,0.00,0",
+                    ],
+                }
+            }
+        raise ChartDataError("unexpected url")
+
+
+class ChartLookbackTests(unittest.TestCase):
+    def setUp(self) -> None:
+        EastmoneyChartClient._cache.clear()
+        self.client = LookbackChartClient()
+
+    def test_empty_today_falls_back_to_latest_available_session(self):
+        payload = self.client.stock_intraday("601318")
+        urls = [url for url, _ in self.client.requests]
+        self.assertEqual(urls[0], TRENDS_URL)
+        self.assertEqual(self.client.requests[0][1]["ndays"], "1")
+        self.assertEqual(urls[1], TRENDS_URL)
+        self.assertEqual(self.client.requests[1][1]["ndays"], "5")
+        self.assertEqual(urls[2], HIS_TRENDS_URL)
+        self.assertEqual(payload["trade_date"], "2026-09-07")
+        self.assertEqual([point["time"] for point in payload["points"]], ["09:30", "15:00"])
+        self.assertEqual(payload["points"][0]["close"], 55.9)
+
+    def test_delay_multiday_can_recover_without_his(self):
+        class DelayFive(EastmoneyChartClient):
+            def __init__(self):
+                super().__init__(cache_ttl_seconds=20)
+                self.requests = []
+
+            def _request_json(self, url, params, referer):
+                self.requests.append((url, params))
+                if params.get("ndays") == "1":
+                    return {"data": {"code": "000001", "name": "平安银行", "preClose": 11.7, "trends": []}}
+                return {
+                    "data": {
+                        "code": "000001",
+                        "name": "平安银行",
+                        "preClose": 11.5,
+                        "trends": [
+                            "2026-09-07 09:30,11.50,11.60,11.70,11.40,100,1160.00,11.600",
+                            "2026-09-07 15:00,11.70,11.80,11.90,11.60,200,2360.00,11.750",
+                        ],
+                    }
+                }
+
+        EastmoneyChartClient._cache.clear()
+        client = DelayFive()
+        payload = client.stock_intraday("000001")
+        self.assertEqual(payload["trade_date"], "2026-09-07")
+        self.assertEqual(len(payload["points"]), 2)
+        self.assertEqual([url for url, _ in client.requests], [TRENDS_URL, TRENDS_URL])
+
+    def test_sh_sz_cyb_codes_use_correct_secid(self):
+        for code, secid in (("601318", "1.601318"), ("000001", "0.000001"), ("300750", "0.300750")):
+            EastmoneyChartClient._cache.clear()
+            client = LookbackChartClient()
+            client.stock_intraday(code)
+            self.assertEqual(client.requests[0][1]["secid"], secid)
+
+
+class FakeHub:
+    def __init__(self, chart=None, error=None, daily=None):
+        self.chart = chart
+        self.error = error
+        self.daily = daily
+        self.calls: list[str] = []
+        self.legacy: list[str] = []
+
+    def try_intraday(self, code):
+        self.calls.append(code)
+        if self.error:
+            raise self.error
+        return self.chart
+
+    def try_daily_chart(self, code, end_date, limit=90, dataset="daily"):
+        self.calls.append(f"{dataset}:{code}")
+        if self.error:
+            raise self.error
+        return self.daily
+
+    def record_legacy(self, dataset, source="", error=""):
+        self.legacy.append(dataset)
+
+
+class DatahubChartFallbackTests(unittest.TestCase):
+    def setUp(self) -> None:
+        EastmoneyChartClient._cache.clear()
+
+    def test_datahub_success_skips_old_channel(self):
+        hub = FakeHub(
+            {
+                "entity_type": "stock",
+                "identifier": "601318",
+                "name": "中国平安",
+                "code": "601318",
+                "trade_date": "2026-09-08",
+                "previous_close": 56.36,
+                "points": [{"date": "2026-09-08", "time": "09:30", "close": 56.5, "average": 56.4}],
+                "source": "datahub",
+            }
+        )
+        fallback = LookbackChartClient()
+        client = MarketChartClient(hub)
+        payload = client.stock_intraday("601318")
+        self.assertEqual(payload["source"], "datahub")
+        self.assertEqual(hub.calls, ["601318"])
+        self.assertEqual(fallback.requests, [])
+
+    def test_datahub_timeout_or_empty_does_not_use_old_channel(self):
+        fallback = LookbackChartClient()
+        for hub in (
+            FakeHub(chart=None),
+            FakeHub(error=RuntimeError("timeout")),
+            FakeHub(error=RuntimeError("datahub exploded")),
+            FakeHub(chart={"points": []}),
+        ):
+            EastmoneyChartClient._cache.clear()
+            fallback.requests.clear()
+            client = MarketChartClient(hub)
+            with self.assertRaises(ChartDataError):
+                client.stock_intraday("000001")
+            self.assertEqual(fallback.requests, [])
+
+    def test_datahub_daily_skips_ifind(self):
+        hub = FakeHub(
+            daily=[
+                {
+                    "trade_date": "2026-09-07",
+                    "open": 10.0,
+                    "high": 10.4,
+                    "low": 9.9,
+                    "close": 10.2,
+                    "volume": 1000,
+                    "amount_billion": 0.02,
+                }
+            ]
+        )
+        client = MarketChartClient(hub)
+        rows = client.stock_daily("600000", "20260907")
+        self.assertEqual(rows[-1]["trade_date"], "2026-09-07")
+        self.assertIn("daily:600000", hub.calls)
+
+
 class ChartServiceStub:
     @staticmethod
     def _payload(code: str, name: str):

tests/test_data_gateway.py

@@ -12,6 +12,7 @@ from backend.data import (
     QualityEvidence,
     build_data_gateway,
 )
+from backend.data.datahub.settings import DATASETS, DatahubSettings, DatasetFlags
 from backend.data.quality import market_timezone
 
 
@@ -35,16 +36,30 @@ class DataGatewayTests(unittest.TestCase):
         with self.assertRaises(DataPolicyError):
             policy.assert_allowed("market.level2", "unresolved", "display")
 
-    def test_gateway_uses_live_token_supplier_and_shared_ifind(self) -> None:
-        token = {"value": "first"}
-        gateway = build_data_gateway(
-            {"ifind_refresh_token": "refresh", "ifind_access_token": "access"},
-            lambda: token["value"],
+    def test_gateway_uses_hub_facade_and_proxies(self) -> None:
+        settings = DatahubSettings(
+            base_url="http://127.0.0.1:8766",
+            token="hub-token",
+            datasets={name: DatasetFlags(name, read=True) for name in DATASETS},
         )
-        self.assertEqual(gateway.tushare().token, "first")
-        token["value"] = "second"
-        self.assertEqual(gateway.tushare().token, "second")
-        self.assertIs(gateway.chart_data.ifind, gateway.ifind)
+        gateway = build_data_gateway(
+            {},
+            datahub_settings=settings,
+        )
+        client = gateway.tushare()
+        self.assertEqual(client.token, "datahub")
+        self.assertIsNone(client.realtime_aggregator)
+        self.assertFalse(hasattr(client, "_legacy"))
+        self.assertIs(gateway.ifind, gateway.ifind_provider.client)
+        self.assertIs(gateway.chart_data.datahub, gateway.datahub)
+        self.assertIsNone(gateway.chart_data.ifind)
+        from backend.data.datahub.bridge import DatahubAwareTushareClient
+        from backend.data.datahub.ifind_proxy import HubIfindProxy
+        from backend.data.datahub.realtime_proxy import HubRealtimeProxy
+
+        self.assertIsInstance(client, DatahubAwareTushareClient)
+        self.assertIsInstance(gateway.ifind, HubIfindProxy)
+        self.assertIsInstance(gateway.realtime_observer, HubRealtimeProxy)
 
     def test_server_has_no_direct_runtime_tushare_construction(self) -> None:
         source = (
@@ -54,21 +69,29 @@ class DataGatewayTests(unittest.TestCase):
             / "market"
             / "service.py"
         ).read_text(encoding="utf-8")
-        self.assertEqual(source.count("TushareClient(self.token)"), 1)
+        self.assertNotIn("TushareClient(self.token)", source)
         self.assertIn("return gateway.tushare()", source)
 
     def test_provider_construction_has_unique_declared_owners(self) -> None:
         root = Path(__file__).resolve().parents[1]
         owners = {
-            "EastmoneyChartClient": {"backend/data/gateway.py"},
-            "IfindHttpClient": {"backend/data/gateway.py"},
             "IfindProvider": {"backend/data/gateway.py"},
             "MarketChartClient": {"backend/data/gateway.py"},
-            "TushareClient": {"backend/features/market/service.py"},
-            "TushareProvider": {"backend/data/gateway.py"},
-            "WebRealtimeAggregator": {"backend/data/gateway.py"},
+            "TushareClient": set(),
+            "DatahubClient": {"backend/data/gateway.py"},
+            "DatahubAwareTushareClient": {"backend/data/gateway.py"},
+            "DatahubBridge": {"backend/data/gateway.py"},
+            "HubIfindProxy": {"backend/data/gateway.py"},
+            "HubRealtimeProxy": {"backend/data/gateway.py"},
         }
         found = {name: set() for name in owners}
+        forbidden = {
+            "IfindHttpClient": set(),
+            "EastmoneyChartClient": set(),
+            "WebRealtimeAggregator": set(),
+            "TushareProvider": set(),
+        }
+        found_forbidden = {name: set() for name in forbidden}
         for path in (root / "backend").rglob("*.py"):
             relative = path.relative_to(root).as_posix()
             tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path))
@@ -78,7 +101,10 @@ class DataGatewayTests(unittest.TestCase):
                 name = getattr(node.func, "id", None) or getattr(node.func, "attr", None)
                 if name in found:
                     found[name].add(relative)
+                if name in found_forbidden:
+                    found_forbidden[name].add(relative)
         self.assertEqual(found, owners)
+        self.assertEqual(found_forbidden, forbidden)
         provider_source = (root / "backend/data/providers/tushare.py").read_text(
             encoding="utf-8"
         )

tests/test_datahub_bridge.py

@@ -0,0 +1,611 @@
+from __future__ import annotations
+
+import ast
+import json
+import unittest
+from pathlib import Path
+from typing import Any
+
+from backend.data import build_data_gateway
+from backend.data.datahub.bridge import DatahubAwareTushareClient, DatahubBridge, looks_like_heaven
+from backend.data.datahub.client import DatahubClient, DatahubResponse
+from backend.data.datahub.compare import compare_rows
+from backend.data.datahub.errors import DatahubError
+from backend.data.datahub.native import to_canonical_row, to_native_row
+from backend.data.datahub.route_state import LEDGER
+from backend.data.providers.tushare_transport import TushareError
+from backend.data.datahub.settings import DATASETS, DatahubSettings, DatasetFlags
+
+ROOT = Path(__file__).resolve().parents[1]
+TOKEN = "super-secret-datahub-token"
+
+LEGACY_DAILY = {
+    "ts_code": "600000.SH",
+    "trade_date": "20240902",
+    "open": 10.11,
+    "high": 10.25,
+    "low": 10.01,
+    "close": 10.20,
+    "pct_chg": 1.2345,
+    "vol": 1000.0,
+    "amount": 2000.0,
+}
+HUB_DAILY = {
+    "ts_code": "600000.SH",
+    "trade_date": "20240902",
+    "open": 10.11,
+    "high": 10.25,
+    "low": 10.01,
+    "close": 10.20,
+    "pct_chg": 1.2345,
+    "volume": 100000.0,
+    "amount": 2000000.0,
+}
+
+
+class FakeLegacy:
+    def __init__(self, rows: list[dict[str, Any]] | Exception | None = None) -> None:
+        self.token = "legacy-token"
+        self.timeout = 30
+        self.rows = [] if rows is None else rows
+        self.calls: list[tuple[str, dict[str, Any] | None, str]] = []
+
+    def query(self, api_name: str, params: dict[str, Any] | None = None, fields: str = "") -> list[dict[str, Any]]:
+        self.calls.append((api_name, params, fields))
+        if isinstance(self.rows, Exception):
+            raise self.rows
+        return [dict(row) for row in self.rows]
+
+
+class FakeClient(DatahubClient):
+    def __init__(self, error: DatahubError | None = None, response: DatahubResponse | None = None) -> None:
+        super().__init__(DatahubSettings(base_url="http://127.0.0.1:9", token=TOKEN))
+        self.error = error
+        self.response = response or DatahubResponse(
+            data=[dict(HUB_DAILY)],
+            meta={"tier": "official", "trade_date": "20240902", "stale": False, "staleness_seconds": 0},
+        )
+        self.paths: list[str] = []
+        self.calls: list[tuple[str, dict[str, Any]]] = []
+
+    def get(self, path: str, params: dict[str, Any] | None = None) -> DatahubResponse:
+        return self._record(path, params)
+
+    def post(self, path: str, body: dict[str, Any] | None = None) -> DatahubResponse:
+        return self._record(path, body)
+
+    def _record(self, path: str, payload: dict[str, Any] | None) -> DatahubResponse:
+        self.paths.append(path)
+        self.calls.append((path, {key: value for key, value in (payload or {}).items()}))
+        packed = json.dumps(payload or {})
+        if TOKEN in packed or TOKEN in path:
+            raise AssertionError("token leaked into url")
+        if self.error:
+            raise self.error
+        return self.response
+
+
+def flags(**enabled: tuple[bool, bool]) -> DatahubSettings:
+    datasets = {name: DatasetFlags(name) for name in DATASETS}
+    for name, pair in enabled.items():
+        datasets[name] = DatasetFlags(name, read=pair[0], shadow=pair[1])
+    return DatahubSettings(base_url="http://127.0.0.1:9", token=TOKEN, datasets=datasets)
+
+
+class DatahubBridgeTests(unittest.TestCase):
+    def setUp(self) -> None:
+        LEDGER.clear()
+
+    def test_default_config_enables_official_reads(self) -> None:
+        settings = DatahubSettings.load(environ={}, credentials={})
+        self.assertTrue(settings.any_enabled())
+        self.assertTrue(all(settings.flags(name).read and not settings.flags(name).shadow for name in DATASETS))
+        client = FakeClient()
+        legacy = FakeLegacy([LEGACY_DAILY])
+        wrapped = DatahubAwareTushareClient(legacy, DatahubBridge(settings, client))
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,close,vol,amount")
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(client.paths, ["/v1/bars/daily"])
+        self.assertEqual(legacy.calls, [])
+        self.assertEqual(LEDGER.snapshot()[0]["route"], "datahub")
+
+    def test_each_dataset_has_independent_read_flag(self) -> None:
+        settings = flags(daily=(True, False), auction=(False, False))
+        self.assertTrue(settings.flags("daily").read)
+        self.assertFalse(settings.flags("auction").read)
+        self.assertFalse(any(settings.flags(name).read for name in DATASETS if name != "daily"))
+        source = (ROOT / "config" / "datahub.config.json").read_text(encoding="utf-8")
+        self.assertNotIn("master", source)
+        self.assertNotIn("DATAHUB_READ_ALL", source)
+        compose = (ROOT / "compose.yaml").read_text(encoding="utf-8")
+        for env_key in (
+            "CALENDAR", "STOCKS", "DAILY", "INDEX_DAILY", "VALUATION", "MONEYFLOW",
+            "AUCTION", "LIMIT_EVENTS", "POPULARITY", "DRAGON_TIGER", "SECTOR_DAILY",
+            "QUOTES", "INDEX_QUOTES", "INTRADAY", "STATUS",
+        ):
+            self.assertIn(f'DATAHUB_READ_{env_key}: "1"', compose)
+
+    def test_read_flag_replaces_only_that_dataset_and_converts_units(self) -> None:
+        shadows: list[dict[str, Any]] = []
+        client = FakeClient()
+        legacy = FakeLegacy([LEGACY_DAILY])
+        wrapped = DatahubAwareTushareClient(
+            legacy,
+            DatahubBridge(flags(daily=(True, False)), client, shadow_sink=shadows.append),
+        )
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,vol,amount")
+        self.assertEqual(rows[0]["vol"], 1000.0)
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(legacy.calls, [])
+        self.assertEqual(client.paths, ["/v1/bars/daily"])
+        calendar_legacy = FakeLegacy([{"cal_date": "20240902", "is_open": 1}])
+        calendar_client = FakeClient(
+            response=DatahubResponse(
+                data=[{"cal_date": "20240902", "is_open": 1, "pretrade_date": "20240830"}],
+                meta={"source": "datahub", "stale": False, "staleness_seconds": 0},
+            )
+        )
+        calendar_wrapped = DatahubAwareTushareClient(
+            calendar_legacy,
+            DatahubBridge(flags(daily=(True, False)), calendar_client),
+        )
+        calendar = calendar_wrapped.query("trade_cal", {"start_date": "20240902", "end_date": "20240902"}, "")
+        self.assertEqual(calendar[0]["is_open"], 1)
+        self.assertEqual(calendar_legacy.calls, [])
+        self.assertEqual(calendar_client.paths, ["/v1/query"])
+
+    def test_hub_failure_does_not_call_website_legacy(self) -> None:
+        cases = [
+            DatahubError("UNAVAILABLE", "down"),
+            DatahubError("UNAUTHORIZED", "401"),
+            DatahubError("TIMEOUT", "late"),
+            DatahubError("EMPTY", "no rows"),
+            DatahubError("DATASET_NOT_PUBLISHED", "not ready"),
+            DatahubError("STALE", "old"),
+            DatahubError("INCOMPLETE", "truncated"),
+        ]
+        for error in cases:
+            with self.subTest(error=error.code):
+                client = FakeClient(error=error)
+                legacy = FakeLegacy([LEGACY_DAILY])
+                wrapped = DatahubAwareTushareClient(legacy, DatahubBridge(flags(daily=(True, False)), client))
+                with self.assertRaises(TushareError):
+                    wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,amount")
+                self.assertEqual(legacy.calls, [])
+
+    def test_shadow_mode_no_longer_calls_website_tushare(self) -> None:
+        reports: list[dict[str, Any]] = []
+        client = FakeClient(
+            response=DatahubResponse(
+                data=[dict(LEGACY_DAILY)],
+                meta={"source": "tushare", "stale": False, "staleness_seconds": 0, "row_shape": "tushare"},
+            )
+        )
+        legacy = FakeLegacy([LEGACY_DAILY])
+        wrapped = DatahubAwareTushareClient(
+            legacy,
+            DatahubBridge(flags(daily=(False, True)), client, shadow_sink=reports.append),
+        )
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,amount,vol")
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(legacy.calls, [])
+        self.assertEqual(client.paths, ["/v1/query"])
+
+        failed = FakeClient(error=DatahubError("UNAVAILABLE", TOKEN))
+        fail_legacy = FakeLegacy([LEGACY_DAILY])
+        fail_wrapped = DatahubAwareTushareClient(
+            fail_legacy,
+            DatahubBridge(flags(daily=(False, True)), failed, shadow_sink=reports.append),
+        )
+        with self.assertRaises(TushareError):
+            fail_wrapped.query("daily", {"trade_date": "20240902"}, "amount")
+        self.assertEqual(fail_legacy.calls, [])
+        self.assertNotIn(TOKEN, str(failed.calls))
+
+    def test_compare_classifies_unit_conversion_missing_row_and_value_diff(self) -> None:
+        equal = compare_rows("daily", [LEGACY_DAILY], [HUB_DAILY], {"stale": False, "staleness_seconds": 0})
+        self.assertTrue(equal["equal"])
+        unit = compare_rows("daily", [LEGACY_DAILY], [{**HUB_DAILY, "amount": 2000.0, "volume": 1000.0}])
+        self.assertGreater(unit["unit_conversion_count"], 0)
+        missing = compare_rows("daily", [LEGACY_DAILY], [])
+        self.assertEqual(missing["missing_hub_count"], 1)
+        value = compare_rows("daily", [LEGACY_DAILY], [{**HUB_DAILY, "close": 99.0}])
+        self.assertEqual(value["value_diff_count"], 1)
+        skew = compare_rows("daily", [LEGACY_DAILY], [HUB_DAILY], {"stale": False, "staleness_seconds": 12})
+        self.assertTrue(skew["time_skew"])
+
+    def test_shadow_extra_hub_columns_are_not_false_diffs_when_projected(self) -> None:
+        hub_full = {**HUB_DAILY, "adj_factor": 1.1}
+        legacy_close_only = {k: LEGACY_DAILY[k] for k in ("ts_code", "trade_date", "close")}
+        report = compare_rows(
+            "daily", [legacy_close_only], [hub_full],
+            {"stale": False, "staleness_seconds": 0},
+            fields="ts_code,trade_date,close",
+        )
+        self.assertTrue(report["equal"])
+        self.assertEqual(report["value_diff_count"], 0)
+        self.assertEqual(report["fields_compared"], ["close", "trade_date", "ts_code"])
+        # without projection the same pair shows the historic false diff
+        unprojected = compare_rows("daily", [legacy_close_only], [hub_full])
+        self.assertFalse(unprojected["equal"])
+
+        legacy_stocks = {"ts_code": "600000.SH", "name": "浦发银行"}
+        hub_stocks = {
+            "ts_code": "600000.SH", "symbol": "600000", "name": "浦发银行", "area": "上海",
+            "industry": "银行", "market": "主板", "list_status": "L", "list_date": "19991110",
+        }
+        stocks = compare_rows("stocks", [legacy_stocks], [hub_stocks], {}, fields="ts_code,name")
+        self.assertTrue(stocks["equal"])
+
+        legacy_cal = {"cal_date": "20240902", "is_open": 1}
+        hub_cal = {
+            "cal_date": "20240902", "is_open": True,
+            "pretrade_date": "20240830", "prev_open": "20240830",
+        }
+        calendar = compare_rows(
+            "calendar", [legacy_cal], [hub_cal], {}, fields="cal_date,is_open"
+        )
+        self.assertTrue(calendar["equal"])
+
+    def test_shadow_projection_still_alarms_on_requested_field_problems(self) -> None:
+        hub_missing_field = {k: v for k, v in HUB_DAILY.items() if k != "close"}
+        legacy_close_only = {k: LEGACY_DAILY[k] for k in ("ts_code", "trade_date", "close")}
+        lost = compare_rows(
+            "daily", [legacy_close_only], [hub_missing_field], fields="ts_code,trade_date,close"
+        )
+        self.assertFalse(lost["equal"])
+        self.assertEqual(lost["value_diff_count"], 1)
+
+        changed = compare_rows(
+            "daily", [legacy_close_only], [{**HUB_DAILY, "close": 99.0}],
+            fields="ts_code,trade_date,close",
+        )
+        self.assertFalse(changed["equal"])
+        self.assertEqual(changed["value_diff_count"], 1)
+        self.assertEqual(changed["value_diffs"][0]["fields"][0]["field"], "close")
+
+        gone = compare_rows("daily", [LEGACY_DAILY], [], fields="ts_code,trade_date,close")
+        self.assertEqual(gone["missing_hub_count"], 1)
+        self.assertFalse(gone["equal"])
+
+        unit = compare_rows(
+            "daily", [LEGACY_DAILY], [{**HUB_DAILY, "amount": 2000.0, "volume": 1000.0}],
+            fields="ts_code,trade_date,vol,amount",
+        )
+        self.assertGreater(unit["unit_conversion_count"], 0)
+        self.assertFalse(unit["equal"])
+
+    def test_bridge_shadow_report_uses_website_request_fields(self) -> None:
+        hub_full = {**HUB_DAILY, "adj_factor": 1.1}
+        legacy_close_only = {k: LEGACY_DAILY[k] for k in ("ts_code", "trade_date", "close", "vol", "amount")}
+        reports: list[dict[str, Any]] = []
+        client = FakeClient(
+            response=DatahubResponse(
+                data=[hub_full],
+                meta={"tier": "official", "trade_date": "20240902", "stale": False, "staleness_seconds": 0},
+            )
+        )
+        wrapped = DatahubAwareTushareClient(
+            FakeLegacy([legacy_close_only]),
+            DatahubBridge(flags(daily=(True, False)), client, shadow_sink=reports.append),
+        )
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,trade_date,close,vol,amount")
+        self.assertEqual(rows[0]["close"], 10.20)
+        self.assertEqual(rows[0]["vol"], 1000.0)
+        self.assertEqual(client.paths, ["/v1/bars/daily"])
+
+    def test_native_roundtrip_matches_known_scales(self) -> None:
+        native = to_native_row("daily", HUB_DAILY)
+        self.assertEqual(native["vol"], 1000.0)
+        self.assertEqual(native["amount"], 2000.0)
+        canonical = to_canonical_row("daily", native)
+        self.assertEqual(canonical["vol"], 100000.0)
+        self.assertEqual(canonical["amount"], 2000000.0)
+
+    def test_heaven_can_use_hub_when_dataset_flag_is_on(self) -> None:
+        """问天按数据依赖接入：已映射 API 跟随开关，不再整栈强制旧链路。"""
+        self.assertTrue(looks_like_heaven("backend.features.heaven.market_context", "backend/features/heaven/market_context.py"))
+        self.assertFalse(looks_like_heaven("backend.features.market.service", "backend/features/market/service.py"))
+        client = FakeClient()
+        legacy = FakeLegacy([LEGACY_DAILY])
+        wrapped = DatahubAwareTushareClient(
+            legacy,
+            DatahubBridge(flags(daily=(True, False)), client, heaven_guard=lambda: True),
+        )
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "amount")
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(client.paths, ["/v1/bars/daily"])
+        self.assertEqual(legacy.calls, [])
+
+    def test_status_flag_does_not_run_when_off_and_falls_back_when_on(self) -> None:
+        off = DatahubBridge(flags(), FakeClient(error=DatahubError("UNAVAILABLE", "down")))
+        self.assertIsNone(off.dataset_status("20240902"))
+        reports: list[dict[str, Any]] = []
+        failed = DatahubBridge(
+            flags(status=(True, True)),
+            FakeClient(error=DatahubError("UNAUTHORIZED", "nope")),
+            shadow_sink=reports.append,
+        )
+        self.assertIsNone(failed.dataset_status("20240902"))
+        self.assertTrue(reports[0]["hub_error"])
+        ok = DatahubBridge(
+            flags(status=(True, False)),
+            FakeClient(response=DatahubResponse(data=[{"dataset": "daily", "state": "published"}], meta={"stale": False, "staleness_seconds": 0})),
+        )
+        self.assertEqual(ok.dataset_status("20240902")[0]["state"], "published")
+
+    def test_default_gateway_wraps_tushare_without_calling_datahub(self) -> None:
+        gateway = build_data_gateway({}, datahub_settings=flags())
+        client = gateway.tushare()
+        self.assertIsInstance(client, DatahubAwareTushareClient)
+        self.assertFalse(gateway.datahub.settings.any_enabled())
+
+    def test_stock_detail_range_query_is_not_silently_accepted_when_incomplete(self) -> None:
+        source = (ROOT / "backend" / "data" / "providers" / "tushare_stocks.py").read_text(encoding="utf-8")
+        self.assertIn('"daily"', source)
+        self.assertIn("start_date", source)
+        self.assertIn("end_date", source)
+        client = FakeClient(error=DatahubError("INCOMPLETE", "truncated"))
+        legacy = FakeLegacy([LEGACY_DAILY])
+        wrapped = DatahubAwareTushareClient(legacy, DatahubBridge(flags(daily=(True, False)), client))
+        with self.assertRaises(TushareError):
+            wrapped.query(
+                "daily",
+                {"ts_code": "600000.SH", "start_date": "20240301", "end_date": "20240902"},
+                "ts_code,amount",
+            )
+        self.assertEqual(legacy.calls, [])
+        self.assertIn("/v1/query", client.paths)
+
+    def test_try_intraday_respects_switch_and_falls_back_on_bad_payload(self) -> None:
+        closed = DatahubBridge(flags(), FakeClient(error=DatahubError("INTERNAL", "should not run")))
+        self.assertIsNone(closed.try_intraday("601318"))
+
+        empty = DatahubBridge(
+            flags(intraday=(True, False)),
+            FakeClient(response=DatahubResponse(data={"points": []}, meta={"stale": False})),
+        )
+        self.assertIsNone(empty.try_intraday("601318"))
+
+        stale = DatahubBridge(
+            flags(intraday=(True, False)),
+            FakeClient(response=DatahubResponse(
+                data={
+                    "entity_type": "stock",
+                    "code": "601318",
+                    "trade_date": "2026-09-07",
+                    "previous_close": 55.8,
+                    "points": [{"date": "2026-09-07", "time": "09:30", "close": 55.9, "avg_price": 55.85}],
+                },
+                meta={"stale": True},
+            )),
+        )
+        self.assertIsNone(stale.try_intraday("601318"))
+
+        ok = DatahubBridge(
+            flags(intraday=(True, False)),
+            FakeClient(response=DatahubResponse(
+                data={
+                    "entity_type": "stock",
+                    "identifier": "601318",
+                    "name": "中国平安",
+                    "code": "601318",
+                    "trade_date": "2026-09-08",
+                    "previous_close": 56.36,
+                    "points": [
+                        {"date": "2026-09-08", "time": "09:30", "close": 0},
+                        {"date": "2026-09-08", "time": "09:31", "close": 56.5, "avg_price": 56.4},
+                    ],
+                },
+                meta={"stale": False},
+            )),
+        )
+        chart = ok.try_intraday("601318")
+        self.assertEqual(chart["source"], "datahub")
+        self.assertEqual(len(chart["points"]), 1)
+        self.assertEqual(chart["points"][0]["average"], 56.4)
+        self.assertEqual(ok.client.paths, ["/v1/intraday/points"])
+        self.assertEqual(ok.client.calls, [("/v1/intraday/points", {"code": "601318"})])
+        self.assertNotIn("date", ok.client.calls[0][1])
+
+        timeout = DatahubBridge(
+            flags(intraday=(True, False)),
+            FakeClient(error=DatahubError("TIMEOUT", "datahub request timed out")),
+        )
+        self.assertIsNone(timeout.try_intraday("601318"))
+        broken = DatahubBridge(
+            flags(intraday=(True, False)),
+            FakeClient(error=DatahubError("INTERNAL", "datahub exploded")),
+        )
+        self.assertIsNone(broken.try_intraday("601318"))
+        self.assertTrue(DatahubSettings.load(environ={}, credentials={}).flags("intraday").read)
+
+    def test_try_market_quotes_and_visible_fallback(self) -> None:
+        quotes = [
+            {
+                "ts_code": f"{600000 + index:06d}.SH",
+                "name": f"股票{index}",
+                "close": 10.2,
+                "pre_close": 10.0,
+                "open": 10.1,
+                "high": 10.3,
+                "low": 9.9,
+                "vol": 1000,
+                "amount": 2000000,
+                "quote_date": "20240902",
+            }
+            for index in range(220)
+        ]
+        ok = DatahubBridge(
+            flags(quotes=(True, False)),
+            FakeClient(
+                response=DatahubResponse(
+                    data=quotes,
+                    meta={"stale": False, "staleness_seconds": 0, "source": "eastmoney:clist"},
+                )
+            ),
+        )
+        rows = ok.try_market_quotes("20240902")
+        self.assertEqual(len(rows), 220)
+        self.assertEqual(rows[0]["pre_close"], 10.0)
+        self.assertEqual(ok.client.paths, ["/v1/quotes/latest"])
+        self.assertEqual(LEDGER.snapshot()[0]["route"], "datahub")
+
+        failed = DatahubBridge(
+            flags(quotes=(True, False)),
+            FakeClient(error=DatahubError("UNAVAILABLE", "down")),
+        )
+        self.assertIsNone(failed.try_market_quotes("20240902"))
+        snap = next(item for item in LEDGER.snapshot() if item["dataset"] == "quotes")
+        self.assertEqual(snap["route"], "datahub")
+        self.assertEqual(snap["source"], "unavailable")
+
+        gateway = build_data_gateway({}, datahub_settings=flags(quotes=(True, False)))
+        status = gateway.datahub_status()
+        self.assertEqual(status["enabled_reads"], 1)
+        self.assertEqual(status["total_reads"], len(DATASETS))
+        self.assertEqual(status["fallback_count"], 0)
+
+    def test_try_daily_chart_converts_hub_bars(self) -> None:
+        rows = [
+            {
+                "ts_code": "600000.SH",
+                "trade_date": "20240901",
+                "open": 10.0,
+                "high": 10.4,
+                "low": 9.9,
+                "close": 10.2,
+                "volume": 100000,
+                "amount": 2000000,
+            },
+            {
+                "ts_code": "600000.SH",
+                "trade_date": "20240902",
+                "open": 10.2,
+                "high": 10.5,
+                "low": 10.1,
+                "close": 10.4,
+                "volume": 120000,
+                "amount": 2400000,
+            },
+        ]
+        hub = DatahubBridge(
+            flags(daily=(True, False)),
+            FakeClient(
+                response=DatahubResponse(
+                    data=rows,
+                    meta={"stale": False, "staleness_seconds": 0, "source": "tushare:daily"},
+                )
+            ),
+        )
+        chart = hub.try_daily_chart("600000.SH", "20240902", 90, "daily")
+        self.assertEqual(chart[-1]["trade_date"], "2024-09-02")
+        self.assertEqual(chart[-1]["close"], 10.4)
+        self.assertAlmostEqual(chart[-1]["amount_billion"], 0.024)
+
+    def test_try_daily_chart_keeps_usable_bars_when_coverage_incomplete(self) -> None:
+        rows = [
+            {
+                "ts_code": "000001.SZ",
+                "trade_date": "20240901",
+                "open": 10.0,
+                "high": 10.4,
+                "low": 9.9,
+                "close": 10.2,
+                "volume": 100000,
+                "amount": 2000000,
+            },
+            {
+                "ts_code": "000001.SZ",
+                "trade_date": "20240902",
+                "open": 10.2,
+                "high": 10.5,
+                "low": 10.1,
+                "close": 10.4,
+                "volume": 120000,
+                "amount": 2400000,
+            },
+        ]
+        hub = DatahubBridge(
+            flags(daily=(True, False)),
+            FakeClient(
+                response=DatahubResponse(
+                    data=rows,
+                    meta={
+                        "stale": False,
+                        "staleness_seconds": 0,
+                        "incomplete": True,
+                        "coverage": {"complete": False, "missing_count": 127},
+                        "source": "tushare:daily",
+                    },
+                )
+            ),
+        )
+        chart = hub.try_daily_chart("000001.SZ", "20240902", 90, "daily")
+        self.assertIsNotNone(chart)
+        self.assertEqual(chart[-1]["trade_date"], "2024-09-02")
+        self.assertEqual(chart[-1]["close"], 10.4)
+
+    def test_gateway_tushare_facade_has_no_legacy_client(self) -> None:
+        quotes = [
+            {
+                "ts_code": f"{index:06d}.SZ",
+                "name": f"S{index}",
+                "pre_close": 10.0,
+                "open": 10.0,
+                "high": 10.5,
+                "low": 9.8,
+                "close": 10.2,
+                "vol": 100.0,
+                "amount": 1000.0,
+                "quote_date": "20240902",
+            }
+            for index in range(1, 221)
+        ]
+        hub_client = FakeClient(
+            response=DatahubResponse(
+                data=quotes,
+                meta={"stale": False, "staleness_seconds": 0, "source": "eastmoney_clist"},
+            )
+        )
+        gateway = build_data_gateway(
+            {"tushare_token": "tok"},
+            datahub_settings=flags(quotes=(True, False), daily=(True, False)),
+        )
+        gateway.datahub.client = hub_client
+        wrapped = gateway.tushare()
+        self.assertFalse(hasattr(wrapped, "_legacy"))
+        self.assertIsNone(getattr(type(wrapped), "__getattr__", None))
+        self.assertTrue(callable(getattr(type(wrapped), "try_market_quotes", None)))
+        self.assertTrue(callable(getattr(type(wrapped), "try_index_quotes", None)))
+        self.assertTrue(callable(getattr(type(wrapped), "record_datahub_legacy", None)))
+        self.assertTrue(callable(getattr(type(wrapped), "dashboard", None)))
+        rows = wrapped.try_market_quotes("20240902")
+        self.assertGreaterEqual(len(rows or []), 200)
+        self.assertIn("/v1/quotes/latest", hub_client.paths)
+        hub_client.response = DatahubResponse(
+            data=[dict(HUB_DAILY)],
+            meta={"stale": False, "staleness_seconds": 0, "source": "tushare:daily"},
+        )
+        daily = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,amount")
+        self.assertEqual(daily[0]["amount"], 2000.0)
+        self.assertIn("/v1/bars/daily", hub_client.paths)
+
+    def test_features_do_not_import_datahub_client(self) -> None:
+        violations = []
+        for path in (ROOT / "backend" / "features").rglob("*.py"):
+            tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path))
+            for node in ast.walk(tree):
+                names = []
+                if isinstance(node, ast.Import):
+                    names = [alias.name for alias in node.names]
+                elif isinstance(node, ast.ImportFrom) and node.module:
+                    names = [node.module]
+                for name in names:
+                    if "datahub" in name.split("."):
+                        violations.append(f"{path.relative_to(ROOT)} -> {name}")
+        self.assertEqual(violations, [])
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_datahub_client.py

@@ -0,0 +1,185 @@
+from __future__ import annotations
+
+import io
+import json
+import logging
+import threading
+import unittest
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from urllib.parse import parse_qs, urlparse
+
+from backend.data.datahub.client import DatahubClient
+from backend.data.datahub.errors import DatahubError
+from backend.data.datahub.redact import redact_text
+from backend.data.datahub.settings import DatahubSettings
+
+
+TOKEN = "super-secret-datahub-token"
+
+
+class FakeHubState:
+    def __init__(self) -> None:
+        self.mode = "ok"
+        self.hits = 0
+        self.paths: list[str] = []
+
+
+STATE = FakeHubState()
+
+
+class FakeHubHandler(BaseHTTPRequestHandler):
+    def log_message(self, format: str, *args: object) -> None:
+        return
+
+    def do_GET(self) -> None:  # noqa: N802
+        STATE.hits += 1
+        parsed = urlparse(self.path)
+        STATE.paths.append(parsed.path)
+        token = self.headers.get("X-Datahub-Token", "")
+        if STATE.mode == "timeout":
+            raise TimeoutError("simulated timeout")
+        if token != TOKEN:
+            self._json(401, {"error": {"code": "UNAUTHORIZED", "message": "missing or invalid X-Datahub-Token"}})
+            return
+        if STATE.mode == "unpublished":
+            self._json(404, {"error": {"code": "DATASET_NOT_PUBLISHED", "message": "daily 19990101 尚未发布", "expected_at": "15:05+08:00"}})
+            return
+        if STATE.mode == "empty":
+            self._json(200, {"schema_version": 1, "data": [], "meta": {"tier": "official", "stale": False, "staleness_seconds": 0}})
+            return
+        if STATE.mode == "stale":
+            self._json(200, {"schema_version": 1, "data": [{"ts_code": "600000.SH", "trade_date": "20240902", "close": 10.2, "volume": 100000, "amount": 2000000}], "meta": {"tier": "official", "stale": True, "staleness_seconds": 999999}})
+            return
+        if STATE.mode == "invalid":
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.end_headers()
+            self.wfile.write(b"not-json")
+            return
+        if parsed.path == "/v1/health":
+            self._json(200, {"schema_version": 1, "data": {"status": "ok"}, "meta": {"tier": "official", "source": "datahub", "stale": False, "staleness_seconds": 0}})
+            return
+        if parsed.path == "/v1/calendar":
+            self._json(200, {"schema_version": 1, "data": [{"cal_date": "20240902", "is_open": True, "pretrade_date": "20240830"}], "meta": {"tier": "official", "trade_date": "20240902", "stale": False, "staleness_seconds": 0}})
+            return
+        if parsed.path == "/v1/bars/daily":
+            query = {key: values[-1] for key, values in parse_qs(parsed.query).items()}
+            self._json(200, {
+                "schema_version": 1,
+                "data": [{
+                    "ts_code": "600000.SH",
+                    "trade_date": query.get("date") or "20240902",
+                    "open": 10.11, "high": 10.25, "low": 10.01, "close": 10.20,
+                    "pct_chg": 1.2345, "volume": 100000.0, "amount": 2000000.0, "adj_factor": 1.1,
+                }],
+                "meta": {"tier": "official", "trade_date": "20240902", "stale": False, "staleness_seconds": 0, "source": "tushare:daily"},
+            })
+            return
+        if parsed.path == "/v1/datasets/status":
+            self._json(200, {"schema_version": 1, "data": [{"dataset": "daily", "state": "published", "trade_date": "20240902"}], "meta": {"tier": "official", "stale": False, "staleness_seconds": 0}})
+            return
+        self._json(400, {"error": {"code": "INVALID_ARGUMENT", "message": f"unknown endpoint: {parsed.path}"}})
+
+    def _json(self, status: int, payload: dict) -> None:
+        body = json.dumps(payload).encode("utf-8")
+        self.send_response(status)
+        self.send_header("Content-Type", "application/json; charset=utf-8")
+        self.send_header("Content-Length", str(len(body)))
+        self.end_headers()
+        self.wfile.write(body)
+
+
+class DatahubClientTests(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.server = ThreadingHTTPServer(("127.0.0.1", 0), FakeHubHandler)
+        cls.thread = threading.Thread(target=cls.server.serve_forever, daemon=True)
+        cls.thread.start()
+        cls.base = f"http://127.0.0.1:{cls.server.server_address[1]}"
+
+    @classmethod
+    def tearDownClass(cls) -> None:
+        cls.server.shutdown()
+        cls.server.server_close()
+
+    def setUp(self) -> None:
+        STATE.mode = "ok"
+        STATE.hits = 0
+        STATE.paths = []
+        self.client = DatahubClient(DatahubSettings(base_url=self.base, token=TOKEN, retries=1, timeout_seconds=2))
+
+    def test_health_envelope(self) -> None:
+        response = self.client.health()
+        self.assertEqual(response.schema_version, 1)
+        self.assertEqual(response.data["status"], "ok")
+        self.assertIn("stale", response.meta)
+
+    def test_missing_and_bad_token_401(self) -> None:
+        missing = DatahubClient(DatahubSettings(base_url=self.base, token=""))
+        with self.assertRaises(DatahubError) as raised:
+            missing.health()
+        self.assertEqual(raised.exception.code, "NOT_CONFIGURED")
+        bad = DatahubClient(DatahubSettings(base_url=self.base, token="wrong"))
+        with self.assertRaises(DatahubError) as raised:
+            bad.health()
+        self.assertEqual(raised.exception.code, "UNAUTHORIZED")
+        self.assertNotIn(TOKEN, str(raised.exception))
+
+    def test_unpublished_and_empty_and_stale_codes(self) -> None:
+        STATE.mode = "unpublished"
+        with self.assertRaises(DatahubError) as raised:
+            self.client.daily_bars(date="19990101")
+        self.assertEqual(raised.exception.code, "DATASET_NOT_PUBLISHED")
+        STATE.mode = "empty"
+        response = self.client.daily_bars(date="20240902")
+        self.assertEqual(response.data, [])
+        STATE.mode = "stale"
+        stale = self.client.daily_bars(date="20240902")
+        self.assertTrue(stale.meta["stale"])
+
+    def test_invalid_json_maps_to_internal(self) -> None:
+        STATE.mode = "invalid"
+        with self.assertRaises(DatahubError) as raised:
+            self.client.health()
+        self.assertEqual(raised.exception.code, "INTERNAL")
+
+    def test_timeout_maps_and_retries(self) -> None:
+        hits = {"n": 0}
+
+        def boom(_request, timeout=None):
+            hits["n"] += 1
+            raise TimeoutError("late")
+
+        client = DatahubClient(
+            DatahubSettings(base_url=self.base, token=TOKEN, retries=1, timeout_seconds=1),
+            urlopen=boom,
+        )
+        with self.assertRaises(DatahubError) as raised:
+            client.health()
+        self.assertEqual(raised.exception.code, "TIMEOUT")
+        self.assertEqual(hits["n"], 2)
+
+    def test_token_never_appears_in_error_text_or_logs(self) -> None:
+        stream = io.StringIO()
+        logger = logging.getLogger("xiaobai.datahub")
+        handler = logging.StreamHandler(stream)
+        logger.addHandler(handler)
+        logger.setLevel(logging.DEBUG)
+        try:
+            with self.assertRaises(DatahubError):
+                DatahubClient(DatahubSettings(base_url=self.base, token="wrong")).health()
+            blob = stream.getvalue() + redact_text("header " + TOKEN, (TOKEN,))
+            self.assertNotIn(TOKEN, blob)
+            self.assertIn("***", redact_text(TOKEN, (TOKEN,)))
+        finally:
+            logger.removeHandler(handler)
+
+    def test_calendar_and_status_contract(self) -> None:
+        calendar = self.client.calendar("20240901", "20240902")
+        self.assertEqual(calendar.data[0]["cal_date"], "20240902")
+        status = self.client.dataset_status("20240902")
+        self.assertEqual(status.data[0]["dataset"], "daily")
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_deploy_baseline.py

@@ -0,0 +1,124 @@
+from __future__ import annotations
+
+import os
+import stat
+import subprocess
+import tempfile
+import unittest
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+CHECK = ROOT / "tools" / "check_deploy_baseline.sh"
+BUILD = ROOT / "tools" / "build_image.sh"
+
+
+def run_check(repo: Path, candidate: str, live: str) -> subprocess.CompletedProcess[str]:
+    env = os.environ.copy()
+    env["GIT_DIR"] = str(repo / ".git")
+    env["GIT_WORK_TREE"] = str(repo)
+    return subprocess.run(
+        ["bash", str(CHECK), candidate, "--live-revision", live],
+        cwd=repo,
+        capture_output=True,
+        text=True,
+        env=env,
+        check=False,
+    )
+
+
+def git(repo: Path, *args: str) -> str:
+    result = subprocess.run(
+        ["git", *args],
+        cwd=repo,
+        capture_output=True,
+        text=True,
+        check=True,
+    )
+    return result.stdout.strip()
+
+
+class DeployBaselineGateTests(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.tmpdir = tempfile.TemporaryDirectory()
+        cls.repo = Path(cls.tmpdir.name) / "repo"
+        cls.repo.mkdir()
+        git(cls.repo, "init")
+        git(cls.repo, "config", "user.email", "gate@example.com")
+        git(cls.repo, "config", "user.name", "Gate")
+        (cls.repo / "README").write_text("base\n", encoding="utf-8")
+        git(cls.repo, "add", "README")
+        git(cls.repo, "commit", "-m", "base")
+        cls.base = git(cls.repo, "rev-parse", "HEAD")
+
+        (cls.repo / "online.txt").write_text("live\n", encoding="utf-8")
+        git(cls.repo, "add", "online.txt")
+        git(cls.repo, "commit", "-m", "online")
+        cls.live = git(cls.repo, "rev-parse", "HEAD")
+
+        git(cls.repo, "checkout", "-b", "successor")
+        (cls.repo / "next.txt").write_text("next\n", encoding="utf-8")
+        git(cls.repo, "add", "next.txt")
+        git(cls.repo, "commit", "-m", "successor of live")
+        cls.successor = git(cls.repo, "rev-parse", "HEAD")
+
+        git(cls.repo, "checkout", "-B", "lagging-main", cls.base)
+        (cls.repo / "stale.txt").write_text("stale main\n", encoding="utf-8")
+        git(cls.repo, "add", "stale.txt")
+        git(cls.repo, "commit", "-m", "lagging main")
+        cls.lagging = git(cls.repo, "rev-parse", "HEAD")
+
+        git(cls.repo, "checkout", "-B", "side", cls.base)
+        (cls.repo / "side.txt").write_text("side branch\n", encoding="utf-8")
+        git(cls.repo, "add", "side.txt")
+        git(cls.repo, "commit", "-m", "unrelated side branch")
+        cls.side = git(cls.repo, "rev-parse", "HEAD")
+
+        git(cls.repo, "checkout", "-B", "successor", cls.successor)
+
+    @classmethod
+    def tearDownClass(cls) -> None:
+        cls.tmpdir.cleanup()
+
+    def test_check_script_is_executable(self) -> None:
+        self.assertTrue(CHECK.exists())
+        self.assertTrue(stat.S_IXUSR & CHECK.stat().st_mode)
+
+    def test_successor_of_live_passes(self) -> None:
+        result = run_check(self.repo, self.successor, self.live)
+        self.assertEqual(result.returncode, 0, result.stderr)
+        self.assertIn(self.live, result.stdout)
+        self.assertIn(self.successor, result.stdout)
+        self.assertIn("next.txt", result.stdout)
+        self.assertIn("祖先关系通过", result.stdout)
+
+    def test_lagging_main_is_blocked(self) -> None:
+        result = run_check(self.repo, self.lagging, self.live)
+        self.assertNotEqual(result.returncode, 0)
+        self.assertIn("拒绝", result.stderr)
+
+    def test_side_branch_is_blocked(self) -> None:
+        result = run_check(self.repo, self.side, self.live)
+        self.assertNotEqual(result.returncode, 0)
+        self.assertIn("拒绝", result.stderr)
+
+    def test_unknown_commit_is_blocked(self) -> None:
+        result = run_check(self.repo, "deadbeefdeadbeefdeadbeefdeadbeefdeadbeef", self.live)
+        self.assertNotEqual(result.returncode, 0)
+        self.assertIn("无法解析", result.stderr)
+
+    def test_build_image_calls_the_gate_and_rejects_latest(self) -> None:
+        source = BUILD.read_text(encoding="utf-8")
+        self.assertIn("check_deploy_baseline.sh", source)
+        self.assertIn("禁止构建 latest", source)
+        self.assertIn("org.opencontainers.image.revision", source)
+        gate = CHECK.read_text(encoding="utf-8")
+        self.assertIn("org.opencontainers.image.revision", gate)
+        self.assertIn("merge-base --is-ancestor", gate)
+        self.assertIn("候选将丢失的提交", gate)
+        self.assertIn("禁止人工填写", gate)
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_frontend_contract.py

@@ -459,6 +459,19 @@ class FrontendContractTests(unittest.TestCase):
         self.assertIn('payload.question_preset = state.heartQuestionPreset;', self.script)
         self.assertIn('payload.cast_at = state.heartCastAt;', self.script)
 
+    def test_heaven_loading_timeout_clears_dimmed_state(self):
+        self.assertIn("controller.abort()", self.script)
+        self.assertIn('heavenView?.classList.remove("heaven-data-loading")', self.script)
+        self.assertIn("问天数据仍在准备，页面可继续输入和操作", self.script)
+        self.assertIn("const blocking = !state.heavenSetup;", self.script)
+        self.assertIn("payload?.aborted", self.script)
+
+    def test_stock_detail_does_not_display_missing_metrics_as_zero(self):
+        self.assertIn("function setStockBoardFields(row)", self.script)
+        self.assertIn("function presentMetric(value)", self.script)
+        self.assertIn("payload.available !== false", self.script)
+        self.assertIn('element.textContent = "--"', self.script)
+
 
 if __name__ == "__main__":
     unittest.main()

tests/test_global_search.py

@@ -94,7 +94,7 @@ class GlobalSearchTests(unittest.TestCase):
         self.assertIn('event.key.toLowerCase() !== "k"', script)
         self.assertIn('openStock(item.id, { code: item.code', script)
         self.assertNotIn('include_notes', script)
-        self.assertIn('const candles = (series || [])', script)
+        self.assertIn('const candles = visibleDailyPrices((series || [])', script)
         self.assertIn('renderStockNotes(payload.notes || [])', script)
 
 

tests/test_heaven_knowledge.py

@@ -1,13 +1,162 @@
 from __future__ import annotations
 
+import json
+import tempfile
 import unittest
+from http import HTTPStatus
+from pathlib import Path
+from unittest.mock import patch
 
 from backend.features.heaven.engine import build_five_phase_field, hexagram_from_lines
-from backend.features.heaven.knowledge import prepare_heaven_context
+from backend.features.heaven.http import HeavenHttpMixin
+from backend.features.heaven.knowledge import (
+    HeavenKnowledgeError,
+    clear_heaven_knowledge_cache,
+    prepare_heaven_context,
+    resolve_heaven_knowledge_path,
+    _knowledge_catalog,
+)
 from backend.features.heaven.six_yao import build_six_yao_chart
 
 
 class HeavenKnowledgeTests(unittest.TestCase):
+    def tearDown(self) -> None:
+        clear_heaven_knowledge_cache()
+
+    def test_catalog_loads_from_trusted_repo_file(self):
+        clear_heaven_knowledge_cache()
+        path = resolve_heaven_knowledge_path()
+        catalog = _knowledge_catalog()
+        self.assertTrue(path.is_file())
+        self.assertEqual(path.name, "heaven_knowledge.json")
+        self.assertTrue(str(catalog.get("version") or "").startswith("2026."))
+        self.assertIn("zhouyi", catalog["sources"])
+        self.assertIn("neijing", catalog["sources"])
+        self.assertEqual(len(catalog["fortune"]["qi"]), 6)
+        self.assertEqual(len(catalog["fortune"]["personal_relations"]), 10)
+
+    def test_missing_knowledge_file_raises_chinese_structured_error(self):
+        clear_heaven_knowledge_cache()
+        missing = Path(tempfile.mkdtemp()) / "missing-heaven_knowledge.json"
+        with patch(
+            "backend.features.heaven.knowledge.KNOWLEDGE_FILE", missing
+        ), patch(
+            "backend.features.heaven.knowledge.KNOWLEDGE_SEED_FILE",
+            missing.with_name("missing-seed.json"),
+        ):
+            with self.assertRaises(HeavenKnowledgeError) as raised:
+                _knowledge_catalog()
+        self.assertEqual(raised.exception.error_code, "heaven_knowledge_missing")
+        self.assertIn("缺失", str(raised.exception))
+
+    def test_corrupt_knowledge_json_raises_chinese_structured_error(self):
+        clear_heaven_knowledge_cache()
+        with tempfile.TemporaryDirectory() as temp_dir:
+            broken = Path(temp_dir) / "heaven_knowledge.json"
+            broken.write_text("{not-json", encoding="utf-8")
+            with patch(
+                "backend.features.heaven.knowledge.KNOWLEDGE_FILE", broken
+            ), patch(
+                "backend.features.heaven.knowledge.KNOWLEDGE_SEED_FILE",
+                Path(temp_dir) / "unused-seed.json",
+            ):
+                with self.assertRaises(HeavenKnowledgeError) as raised:
+                    _knowledge_catalog()
+        self.assertEqual(raised.exception.error_code, "heaven_knowledge_invalid")
+        self.assertIn("损坏", str(raised.exception))
+
+    def test_interpret_http_returns_structured_chinese_error_for_missing_file(self):
+        class FakeHandler(HeavenHttpMixin):
+            def __init__(self) -> None:
+                self.payload = None
+                self.status = None
+                self.application_service = type(
+                    "Svc",
+                    (),
+                    {
+                        "heaven_interpret": staticmethod(
+                            lambda _body: (_ for _ in ()).throw(
+                                HeavenKnowledgeError(
+                                    "问天知识文件缺失：未找到 heaven_knowledge.json。",
+                                    code="heaven_knowledge_missing",
+                                )
+                            )
+                        )
+                    },
+                )()
+
+            def read_json_body(self):
+                return {"mode": "trend", "trade_date": "2026-08-04"}
+
+            def send_json(self, payload, status=HTTPStatus.OK, headers=None):
+                self.payload = payload
+                self.status = status
+
+        handler = FakeHandler()
+        handler.heaven_interpret()
+        self.assertEqual(handler.status, HTTPStatus.BAD_REQUEST)
+        self.assertIn("缺失", handler.payload["error"])
+        self.assertEqual(handler.payload["code"], "heaven_knowledge_missing")
+
+    def test_interpret_http_returns_structured_chinese_error_for_corrupt_json(self):
+        class FakeHandler(HeavenHttpMixin):
+            def __init__(self) -> None:
+                self.payload = None
+                self.status = None
+                self.application_service = type(
+                    "Svc",
+                    (),
+                    {
+                        "heaven_interpret": staticmethod(
+                            lambda _body: (_ for _ in ()).throw(
+                                HeavenKnowledgeError(
+                                    "问天知识文件 JSON 损坏（heaven_knowledge.json），无法解析：第 1 行附近。",
+                                    code="heaven_knowledge_invalid",
+                                )
+                            )
+                        )
+                    },
+                )()
+
+            def read_json_body(self):
+                return {"mode": "trend", "trade_date": "2026-08-04"}
+
+            def send_json(self, payload, status=HTTPStatus.OK, headers=None):
+                self.payload = payload
+                self.status = status
+
+        handler = FakeHandler()
+        handler.heaven_interpret()
+        self.assertEqual(handler.status, HTTPStatus.BAD_REQUEST)
+        self.assertIn("损坏", handler.payload["error"])
+        self.assertEqual(handler.payload["code"], "heaven_knowledge_invalid")
+
+    def test_seed_fallback_when_data_file_missing(self):
+        clear_heaven_knowledge_cache()
+        with tempfile.TemporaryDirectory() as temp_dir:
+            seed = Path(temp_dir) / "seed.json"
+            seed.write_text(
+                json.dumps(
+                    {
+                        "version": "test-seed",
+                        "sources": {"zhouyi": {"title": "周易"}},
+                        "trend": {"method": "m", "rules": {"stable": "s", "single": "a", "multiple": "b"}},
+                        "fortune": {},
+                        "heart": {},
+                    },
+                    ensure_ascii=False,
+                ),
+                encoding="utf-8",
+            )
+            missing_data = Path(temp_dir) / "data-heaven_knowledge.json"
+            with patch(
+                "backend.features.heaven.knowledge.KNOWLEDGE_FILE", missing_data
+            ), patch(
+                "backend.features.heaven.knowledge.KNOWLEDGE_SEED_FILE", seed
+            ):
+                catalog = _knowledge_catalog()
+        self.assertEqual(catalog["version"], "test-seed")
+
     def test_fortune_context_excludes_weighted_summary_and_adds_bounded_industry_symbols(self):
         field = build_five_phase_field("2026-08-04")
         prepared = prepare_heaven_context(

tests/test_heaven_realtime.py

@@ -3,9 +3,10 @@ from __future__ import annotations
 import http.client
 import json
 import unittest
+from datetime import datetime
 from unittest.mock import MagicMock, patch
 
-from backend.data.realtime import WebRealtimeAggregator
+from backend.data.realtime import RealtimeAggregateError, WebRealtimeAggregator
 from backend.features.heaven.engine import _market_line_scores, build_manual_market_hexagram
 from server import DashboardService
 from backend.data.providers.tushare_client import (
@@ -377,6 +378,87 @@ class RealtimeAggregatorTests(unittest.TestCase):
         self.assertEqual(rows[0]["quote_time"][:10], "2026-07-20")
         self.assertAlmostEqual(rows[0]["amount_billion"], 12946.52)
 
+    @patch.object(WebRealtimeAggregator, "_get_json")
+    def test_eastmoney_market_quotes_normalize_and_keep_expected_date(self, get_json: MagicMock):
+        epoch = datetime(2026, 7, 20, 10, 5).timestamp()
+        rows = []
+        for index in range(200):
+            sz = index < 100
+            rows.append(
+                {
+                    "f12": f"{index:06d}" if sz else f"{600000 + index - 100:06d}",
+                    "f13": 0 if sz else 1,
+                    "f14": f"股票{index}",
+                    "f2": 11.2,
+                    "f3": 2.0,
+                    "f5": 10,
+                    "f6": 50000000,
+                    "f15": 11.3,
+                    "f16": 11.0,
+                    "f17": 11.1,
+                    "f18": 11.0,
+                    "f124": epoch,
+                }
+            )
+        def fake_get_json(_url, params, referer=""):
+            page = int(params.get("pn") or 1)
+            start = (page - 1) * 100
+            return {"rc": 0, "data": {"total": 200, "diff": rows[start:start + 100]}}
+
+        get_json.side_effect = fake_get_json
+        aggregator = WebRealtimeAggregator()
+        aggregator._response_cache.clear()
+        quotes = aggregator.eastmoney_market_quotes("20260720")
+        self.assertEqual(len(quotes), 200)
+        self.assertEqual(quotes[0]["ts_code"], "000000.SZ")
+        self.assertTrue(quotes[100]["ts_code"].endswith(".SH"))
+        self.assertEqual(quotes[0]["vol"], 1000)
+        self.assertEqual(quotes[0]["quote_date"], "20260720")
+
+    @patch.object(WebRealtimeAggregator, "_get_text")
+    def test_tencent_stock_quote_keeps_expected_date(self, get_text: MagicMock):
+        fields = [""] * 38
+        fields[1] = "浦发银行"
+        fields[2] = "600000"
+        fields[3] = "11.20"
+        fields[4] = "11.00"
+        fields[5] = "11.10"
+        fields[6] = "1234"
+        fields[30] = "20260720103000"
+        fields[33] = "11.30"
+        fields[34] = "11.00"
+        fields[37] = "1380"
+        get_text.return_value = (f'v_sh600000="{"~".join(fields)}";', 0)
+
+        quote = WebRealtimeAggregator().tencent_stock_quote("600000", "20260720")
+
+        self.assertEqual(quote["ts_code"], "600000.SH")
+        self.assertEqual(quote["quote_date"], "20260720")
+        self.assertEqual(quote["vol"], 123400)
+        self.assertAlmostEqual(quote["amount"], 13_800_000)
+
+    @patch.object(WebRealtimeAggregator, "_get_json")
+    def test_eastmoney_stock_quote_rejects_stale_date(self, get_json: MagicMock):
+        epoch = datetime(2026, 7, 19, 15, 0).timestamp()
+        get_json.return_value = {
+            "rc": 0,
+            "data": {
+                "f43": 11.2,
+                "f44": 11.3,
+                "f45": 11.0,
+                "f46": 11.1,
+                "f47": 10,
+                "f48": 50000000,
+                "f57": "300750",
+                "f58": "宁德时代",
+                "f60": 11.0,
+                "f86": epoch,
+            },
+        }
+
+        with self.assertRaises(RealtimeAggregateError):
+            WebRealtimeAggregator().eastmoney_stock_quote("300750.SZ", "20260720")
+
 
 if __name__ == "__main__":
     unittest.main()

tests/test_hel494_regressions.py

@@ -0,0 +1,342 @@
+from __future__ import annotations
+
+import unittest
+from unittest.mock import MagicMock, patch
+
+from backend.data.providers.tushare_client import TushareClient, TushareError
+from backend.data.providers.tushare_helpers import _moneyflow_payload
+from backend.data.realtime import (
+    WebRealtimeAggregator,
+    _normalize_eastmoney_limit_row,
+    _normalize_eastmoney_stock_quote,
+)
+from backend.data.providers.tushare_daily import DailyMarketMixin
+
+
+class MoneyflowPayloadTests(unittest.TestCase):
+    def test_missing_row_is_not_zero(self) -> None:
+        payload = _moneyflow_payload(None)
+        self.assertFalse(payload["available"])
+        self.assertIsNone(payload["net_million"])
+        self.assertIsNone(payload["large_million"])
+
+    def test_empty_row_is_not_zero(self) -> None:
+        payload = _moneyflow_payload({})
+        self.assertFalse(payload["available"])
+        self.assertIsNone(payload["net_million"])
+
+    def test_real_zero_net_is_kept_when_source_exists(self) -> None:
+        payload = _moneyflow_payload(
+            {
+                "net_mf_amount": 0,
+                "buy_lg_amount": 1,
+                "sell_lg_amount": 1,
+                "buy_elg_amount": 0,
+                "sell_elg_amount": 0,
+                "buy_md_amount": 0,
+                "sell_md_amount": 0,
+                "buy_sm_amount": 0,
+                "sell_sm_amount": 0,
+            }
+        )
+        self.assertTrue(payload["available"])
+        self.assertEqual(payload["net_million"], 0)
+
+
+class LimitOverlayTests(unittest.TestCase):
+    def test_normalize_limit_keeps_missing_seal_as_none(self) -> None:
+        row = DailyMarketMixin._normalize_limit(
+            {
+                "ts_code": "000737.SZ",
+                "name": "北方铜业",
+                "close": 12.3,
+                "pct_chg": 10,
+                "amount": 1e8,
+                "amount_unit": "yuan",
+            },
+            "涨停",
+        )
+        self.assertIsNone(row["seal_amount_million"])
+        self.assertEqual(row["first_time"], "--")
+
+    def test_overlay_fills_board_times_from_official_list(self) -> None:
+        mixin = DailyMarketMixin()
+        mixin._load_limit_lists = lambda trade_date: [
+            {
+                "ts_code": "000737.SZ",
+                "first_time": "09:31:02",
+                "last_time": "10:18:11",
+                "fd_amount": 82000000,
+                "open_times": 1,
+                "turnover_ratio": 18.4,
+            }
+        ]
+        mixin.realtime_aggregator = None
+        rows = mixin._overlay_board_fields(
+            [{"ts_code": "000737.SZ", "close": 12.3, "limit_type": "U"}],
+            "20260908",
+        )
+        self.assertEqual(rows[0]["first_time"], "09:31:02")
+        self.assertEqual(rows[0]["fd_amount"], 82000000)
+        self.assertEqual(rows[0]["turnover_ratio"], 18.4)
+
+
+class ShenwanRealtimeSourceTests(unittest.TestCase):
+    def test_transport_refuses_rt_sw_k(self) -> None:
+        client = TushareClient(token="demo")
+        with self.assertRaisesRegex(TushareError, "rt_sw_k is disabled"):
+            client.query("rt_sw_k", {"ts_code": "801074.SI"})
+
+    def test_outer_realtime_uses_hub_sector_quote_not_rt_sw_k(self) -> None:
+        client = TushareClient(token="demo")
+        client.query = MagicMock(side_effect=AssertionError("should not call tushare"))
+        client.try_sector_quote = MagicMock(return_value={
+            "code": "801074.SI",
+            "name": "工业金属",
+            "close": 1234.5,
+            "pre_close": 1200,
+            "change": 2.88,
+            "pct_change": 2.88,
+            "quote_date": "20260908",
+            "quote_time": "2026-09-08T14:50:00+08:00",
+            "source": "eastmoney_sw",
+        })
+        row, source, error = client._sw_outer_realtime("801074.SI", "工业金属", "20260908")
+        self.assertEqual(source, "eastmoney_sw")
+        self.assertEqual(error, "")
+        self.assertEqual(row["change"], 2.88)
+        client.query.assert_not_called()
+
+    def test_outer_waiting_state_has_no_permission_error(self) -> None:
+        client = TushareClient(token="demo")
+        client.realtime_aggregator = None
+        row, source, error = client._sw_outer_realtime(
+            "801074.SI", "工业金属", "20260908", finalized=True
+        )
+        self.assertEqual(row, {})
+        self.assertIn("尚未入库", error)
+        self.assertNotIn("权限", error)
+        self.assertNotIn("rt_sw_k", error)
+
+
+class EastmoneyHelperTests(unittest.TestCase):
+    def test_limit_pool_row_keeps_board_clock(self) -> None:
+        parsed = _normalize_eastmoney_limit_row(
+            {
+                "c": "000737",
+                "m": 0,
+                "n": "北方铜业",
+                "fbt": 93102,
+                "lbt": 101811,
+                "zbc": 1,
+                "lbc": 2,
+                "hs": 18.4,
+                "fund": 82000000,
+            },
+            "U",
+        )
+        self.assertEqual(parsed["ts_code"], "000737.SZ")
+        self.assertEqual(parsed["first_time"], "09:31:02")
+        self.assertEqual(parsed["last_time"], "10:18:11")
+        self.assertEqual(parsed["fd_amount"], 82000000)
+
+    def test_stock_quote_keeps_moneyflow_when_present(self) -> None:
+        quote = _normalize_eastmoney_stock_quote(
+            {
+                "f43": 12.3,
+                "f60": 11.18,
+                "f46": 11.2,
+                "f44": 12.3,
+                "f45": 11.1,
+                "f47": 1000,
+                "f48": 150000000,
+                "f58": "北方铜业",
+                "f86": 0,
+                "f168": 8.5,
+                "f62": 25000000,
+                "f78": 3000000,
+                "f84": -1000000,
+            },
+            "000737.SZ",
+        )
+        self.assertEqual(quote["net_mf_amount"], 2500)
+        payload = _moneyflow_payload(quote)
+        self.assertTrue(payload["available"])
+        self.assertEqual(payload["net_million"], 25)
+
+    @patch.object(WebRealtimeAggregator, "_get_json")
+    def test_shenwan_quote_uses_eastmoney_90_prefix(self, get_json: MagicMock) -> None:
+        get_json.return_value = {
+            "rc": 0,
+            "data": {
+                "diff": [
+                    {
+                        "f12": "801074",
+                        "f14": "工业金属",
+                        "f2": 1234.5,
+                        "f3": 2.88,
+                        "f18": 1200,
+                        "f17": 1205,
+                        "f15": 1240,
+                        "f16": 1198,
+                        "f6": 1,
+                        "f124": 1757319000,
+                    }
+                ]
+            },
+        }
+        quote = WebRealtimeAggregator().eastmoney_shenwan_quote("801074.SI")
+        self.assertEqual(quote["source"], "eastmoney_sw")
+        self.assertAlmostEqual(quote["change"], 2.88)
+        params = get_json.call_args.args[1]
+        self.assertEqual(params["secids"], "90.801074")
+
+
+class ChartWindowTests(unittest.TestCase):
+    def test_display_window_is_45_not_250(self) -> None:
+        from backend.features.market.charts import DAILY_CHART_LIMIT
+
+        self.assertEqual(DAILY_CHART_LIMIT, 45)
+
+
+class MemberQuoteCoverageTests(unittest.TestCase):
+    def test_prefers_full_hub_market_over_truncated_named_quotes(self) -> None:
+        client = TushareClient(token="demo")
+        wanted = [f"{index:06d}.SZ" for index in range(205)]
+        market = [
+            {"ts_code": code, "close": 10.0, "pre_close": 9.0}
+            for code in wanted
+        ]
+        client.try_market_quotes = MagicMock(return_value=market)
+        client.try_quotes = MagicMock(return_value=market[:60])
+        client.realtime_aggregator = MagicMock()
+        rows, source = client._load_member_realtime_quotes(wanted, "20260908")
+        self.assertEqual(len(rows), 205)
+        self.assertEqual(source, "datahub")
+        client.try_quotes.assert_not_called()
+
+    def test_hub_named_quotes_cover_members_when_market_missing(self) -> None:
+        client = TushareClient(token="demo")
+        wanted = ["000737.SZ", "000630.SZ"]
+        client.try_market_quotes = MagicMock(return_value=None)
+        client.try_quotes = MagicMock(return_value=[
+            {"ts_code": "000737.SZ", "close": 12.3, "pre_close": 11.2},
+            {"ts_code": "000630.SZ", "close": 4.5, "pre_close": 4.4},
+        ])
+        client.realtime_aggregator = MagicMock()
+        rows, source = client._load_member_realtime_quotes(wanted, "20260908")
+        self.assertEqual(len(rows), 2)
+        self.assertEqual(source, "datahub")
+        client.try_quotes.assert_called()
+        client.realtime_aggregator.eastmoney_stock_quotes.assert_not_called()
+        client.realtime_aggregator.tencent_stock_quotes.assert_not_called()
+
+    def test_delayed_hub_quotes_are_kept_not_zeroed(self) -> None:
+        client = TushareClient(token="demo")
+        delayed = [
+            {
+                "ts_code": "000737.SZ",
+                "close": 12.3,
+                "pre_close": 11.2,
+                "delayed": True,
+                "delay_seconds": 90,
+                "delay_notice": "主备免费行情均暂不可用，显示 90 秒前的真实快照",
+            }
+        ]
+        client.try_market_quotes = MagicMock(return_value=delayed)
+        client.try_quotes = MagicMock()
+        client.realtime_aggregator = MagicMock()
+        rows, source = client._load_member_realtime_quotes(["000737.SZ"], "20260908")
+        self.assertEqual(source, "datahub_delayed")
+        self.assertEqual(rows[0]["close"], 12.3)
+        client.try_quotes.assert_not_called()
+
+    def test_ignores_non_member_quotes_from_market_snapshot(self) -> None:
+        client = TushareClient(token="demo")
+        client.try_market_quotes = MagicMock(
+            return_value=[
+                {"ts_code": "000737.SZ", "close": 12.3, "pre_close": 11.2},
+                {"ts_code": "600000.SH", "close": 10.0, "pre_close": 9.9},
+            ]
+        )
+        client.try_quotes = MagicMock(return_value=[])
+        client._free_realtime_quotes = MagicMock(return_value=([], "empty"))
+        rows, _source = client._load_member_realtime_quotes(
+            ["000737.SZ", "000630.SZ"], "20260908"
+        )
+        self.assertEqual([row["ts_code"] for row in rows], ["000737.SZ"])
+
+    def test_local_sw_members_survive_tushare_outage(self) -> None:
+        import tempfile
+        from pathlib import Path
+
+        from backend.data.providers import tushare_industries as module
+
+        client = TushareClient(token="demo")
+        stored = [
+            {
+                "ts_code": "000737.SZ",
+                "name": "北方铜业",
+                "l2_code": "801074.SI",
+                "in_date": "20200101",
+                "out_date": "",
+            }
+        ]
+        with tempfile.TemporaryDirectory() as tmp:
+            original = module._SW_MEMBER_DIR
+            module._SW_MEMBER_DIR = Path(tmp)
+            try:
+                client._sw_member_cache.clear()
+                client._write_local_sw_members("801074.SI", stored)
+                client.query = MagicMock(side_effect=TushareError("index_member_all down"))
+                members = client._sw_sector_members("801074.SI", "20260908")
+            finally:
+                module._SW_MEMBER_DIR = original
+                client._sw_member_cache.clear()
+        self.assertEqual([item["ts_code"] for item in members], ["000737.SZ"])
+        client.query.assert_not_called()
+
+    def test_closed_keeps_daily_inner_when_sw_daily_missing(self) -> None:
+        client = TushareClient(token="demo")
+        client.resolve_trade_context = lambda _date: ("20260908", "20260907")
+        client.sw_stock_industry = MagicMock(
+            return_value={"l2_code": "801074.SI", "l2_name": "工业金属"}
+        )
+        client._sw_sector_members = MagicMock(
+            return_value=[
+                {"ts_code": "000737.SZ", "name": "北方铜业"},
+                {"ts_code": "000630.SZ", "name": "铜陵有色"},
+            ]
+        )
+        client._stock_listing_reference = MagicMock(return_value={})
+        client._load_daily = MagicMock(
+            return_value=[
+                {"ts_code": "000737.SZ", "name": "北方铜业", "pct_chg": 2, "amount": 1e8},
+                {"ts_code": "000630.SZ", "name": "铜陵有色", "pct_chg": 1, "amount": 1e8},
+            ]
+        )
+        client._confirmed_suspended_members = MagicMock(return_value=[])
+        client.query = MagicMock(return_value=[])
+        client._sw_realtime_sector_snapshot = MagicMock(
+            side_effect=AssertionError("daily inner should be kept")
+        )
+        client.try_sector_quote = MagicMock(return_value={
+            "code": "801074.SI",
+            "name": "工业金属",
+            "change": 1.5,
+            "pct_change": 1.5,
+            "quote_date": "20260908",
+            "quote_time": "2026-09-08T15:00:00+08:00",
+            "source": "eastmoney_sw",
+        })
+        snapshot = client.sw_sector_snapshot(
+            "000737.SZ", "20260908", allow_realtime_close=True
+        )
+        self.assertEqual(snapshot["quote_count"], 2)
+        self.assertEqual(snapshot["member_count"], 2)
+        self.assertTrue(snapshot["inner_precise"])
+        self.assertTrue(snapshot["outer_precise"])
+        self.assertEqual(snapshot["inner_source"], "tushare_member_daily")
+        self.assertEqual(snapshot["change"], 1.5)
+        self.assertNotIn("权限", snapshot.get("outer_error") or "")
+        self.assertNotIn("rt_sw_k", snapshot.get("outer_error") or "")