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

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

.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

@@ -22,9 +22,10 @@ xiaobai-review 容器 :8765
         `-- 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：
 
@@ -41,7 +42,9 @@ xiaobai-review 容器 :8765
 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
 
@@ -202,7 +205,7 @@ docker compose down
 `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-git rev-parse HEAD` 为准），或直接用上面的脚本。
+`~/xiaobai-build/xiaobai-git rev-parse HEAD` 为准），或直接用上面的脚本。
 
 ### 智能体高级入口：Git 归档流式构建
 

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,
@@ -98,15 +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(
@@ -122,7 +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}")
 
@@ -178,14 +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,
@@ -193,7 +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,
@@ -207,6 +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,
@@ -234,7 +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,
@@ -254,10 +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:
@@ -341,10 +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,
@@ -462,7 +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
@@ -608,6 +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/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/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/service.py

@@ -14,7 +14,9 @@ from backend.bootstrap.config import (
     validate_text,
 )
 from backend.data.providers.ifind_client import IfindError
-from backend.data.providers.tushare_client import TushareClient, TushareError
+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,
@@ -26,7 +28,7 @@ from backend.features.market.backfill_history import (
     select_open_trade_dates,
     select_open_trade_dates_in_range,
 )
-from backend.features.market.charts import ChartDataError
+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
 
@@ -42,6 +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"),
@@ -58,16 +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()
@@ -79,6 +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(
@@ -97,6 +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
@@ -138,6 +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]:
@@ -152,16 +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()
@@ -197,19 +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)
-
-                if (dashboard.get("meta") or {}).get("limit_data_source") == "derived":
-                    raise TushareError(
-                        str((dashboard.get("meta") or {}).get("notice") or "官方涨跌停数据尚未返回")
+                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["meta"]["source"] = source
-                dashboard["meta"]["requested_date"] = self._display_compact_date(normalized_date)
                 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(
@@ -231,10 +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"
@@ -544,7 +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",
@@ -560,10 +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):
@@ -671,7 +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
@@ -683,27 +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(
@@ -817,6 +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
@@ -838,23 +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"),
         }
 
@@ -888,7 +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 {
@@ -1140,10 +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)
@@ -1153,6 +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"] = {
@@ -1160,7 +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:

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

@@ -5,16 +5,7 @@ import time
 from datetime import date
 
 from backend.bootstrap.config import normalize_date
-
-
-def _verified_dashboard_result(dashboard: dict[str, object]) -> dict[str, object]:
-    meta = dashboard.get("meta") or {}
-    if isinstance(meta, dict) and meta.get("carried_forward"):
-        return {
-            "status": "failed",
-            "error": str(meta.get("notice") or "未获取到所选日期的最新行情"),
-        }
-    return dashboard
+from backend.jobs.refresh import official_catchup_due, verified_dashboard_result
 
 
 class JobServiceMixin:
@@ -36,7 +27,7 @@ class JobServiceMixin:
         started = self.jobs.submit(
             "market.refresh",
             key,
-            lambda: _verified_dashboard_result(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 ""}
@@ -54,7 +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

@@ -13,6 +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": [
@@ -450,13 +463,13 @@
     },
     {
       "path": "frontend/pages/heaven/page.js",
-      "bytes": 97268,
-      "lines": 2070
+      "bytes": 97770,
+      "lines": 2079
     },
     {
       "path": "frontend/shared/shell.css",
-      "bytes": 63659,
-      "lines": 3763
+      "bytes": 63733,
+      "lines": 3767
     },
     {
       "path": "backend/features/heaven/engine.py",
@@ -465,8 +478,13 @@
     },
     {
       "path": "frontend/index.html",
-      "bytes": 48254,
-      "lines": 664
+      "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": 28234,
-      "lines": 648
-    },
-    {
-      "path": "backend/data/providers/tushare_industries.py",
-      "bytes": 26540,
-      "lines": 616
-    },
     {
       "path": "backend/features/heaven/manual.py",
       "bytes": 24521,
@@ -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",
@@ -530,39 +543,39 @@
     },
     {
       "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": 14410,
-      "lines": 268
-    },
     {
       "path": "backend/features/heaven/market_context.py",
-      "bytes": 13681,
-      "lines": 338
+      "bytes": 14409,
+      "lines": 354
     },
     {
       "path": "frontend/shared/session.js",
       "bytes": 13219,
       "lines": 289
     },
-    {
-      "path": "frontend/shared/dashboard.js",
-      "bytes": 12894,
-      "lines": 274
-    },
     {
       "path": "backend/features/market/insights_auction_data.py",
       "bytes": 12829,
@@ -570,8 +583,8 @@
     },
     {
       "path": "backend/features/system/service.py",
-      "bytes": 12392,
-      "lines": 254
+      "bytes": 12180,
+      "lines": 265
     },
     {
       "path": "backend/features/market/insights_auction.py",
@@ -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
     },
     {
@@ -664,14 +682,9 @@
       "lines": 85
     },
     {
-      "path": "frontend/pages/market/stock-detail.js",
-      "bytes": 5690,
-      "lines": 124
-    },
-    {
-      "path": "backend/data/providers/tushare_indices.py",
-      "bytes": 5451,
-      "lines": 118
+      "path": "backend/data/providers/tushare_stocks.py",
+      "bytes": 5592,
+      "lines": 123
     },
     {
       "path": "frontend/pages.config.js",
@@ -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,
@@ -768,36 +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/jobs/service.py",
-      "bytes": 2219,
-      "lines": 60
+      "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,
@@ -808,6 +821,11 @@
       "bytes": 1919,
       "lines": 45
     },
+    {
+      "path": "backend/jobs/refresh.py",
+      "bytes": 1808,
+      "lines": 48
+    },
     {
       "path": "backend/features/system/routes.py",
       "bytes": 1791,
@@ -823,6 +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,
@@ -833,11 +856,6 @@
       "bytes": 1535,
       "lines": 39
     },
-    {
-      "path": "backend/data/providers/tushare_transport.py",
-      "bytes": 1455,
-      "lines": 48
-    },
     {
       "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/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

@@ -607,12 +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 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">保存行情配置</button></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/m/js/pages.js

@@ -770,11 +770,33 @@
     scroll.classList.add("m-motion-fade-in");
   }
 
+  function dashboardFreshnessNotice() {
+    const meta = (state.dashboard && state.dashboard.meta) || {};
+    if (meta.display_notice) return String(meta.display_notice);
+    const requested = String(meta.requested_date || "").replace(/-/g, "");
+    const actual = String(meta.trade_date || "").replace(/-/g, "");
+    const compact = actual;
+    const shown = /^\d{8}$/.test(compact)
+      ? (Number(compact.slice(4, 6)) + " 月 " + Number(compact.slice(6, 8)) + " 日")
+      : "";
+    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 renderTopArea(key) {
     const page = document.querySelector(".m-page");
     if (!page) return;
     let top = page.querySelector(".m-top");
     let html = buildStrip();
+    const freshness = dashboardFreshnessNotice();
+    if (freshness) {
+      html = '<div class="m-phase-notice"><strong>' + escapeHtml(freshness) + "</strong></div>" + html;
+    }
     if (key === "market/performance") html += performanceConclusion();
     if (!top) {
       top = document.createElement("div");
@@ -3380,9 +3402,9 @@
     const payload = detail && detail.payload ? detail.payload : {};
     const meta = payload.meta || {};
     if (tab === "daily") {
-      const bars = (payload.prices || []).slice(-48);
+      const bars = (payload.prices || []).slice(-45);
       const last = bars.length ? bars[bars.length - 1].trade_date : "";
-      return "日线 · 近48根 · 至 " + (displayCompactDate(last) || "--");
+      return "日线 · 近45根 · 至 " + (displayCompactDate(last) || "--");
     }
     const d = displayCompactDate(meta.intraday_trade_date) || displayCompactDate(meta.trade_date);
     return "分时 · " + (d || "--");
@@ -3680,7 +3702,7 @@
     const W = 360, H = 240, padL = 8, padR = 52, padT = 10, padB = 22;
     const pw = W - padL - padR;
     const ph = H - padT - padB;
-    const prices = (payload.prices || []).slice(-48);
+    const prices = (payload.prices || []).slice(-45);
 
     if (prices.length < 2) return emptyChart("日线数据暂不可用");
 
@@ -5197,6 +5219,15 @@
     return '<span class="m-sys-dot' + (ok ? " m-sys-dot--ok" : "") + '"></span>';
   }
 
+  function datahubStatusText(hub) {
+    const enabled = number(hub.enabled_reads);
+    const total = number(hub.total_reads) || enabled;
+    const fallbacks = hub.fallback_labels || [];
+    if (fallbacks.length) return " 备用 " + fallbacks.join("、");
+    if (hub.configured) return " 主线路 " + enabled + "/" + total;
+    return " 未配置";
+  }
+
   function renderSystemAdmin(key) {
     if (key === "system/members") {
       renderSystemMembers();
@@ -5211,15 +5242,16 @@
       '<div class="m-sys-body" data-system-admin-panel="market">' +
       '<div class="m-card m-sys-section"><strong>数据源状态</strong>' +
       '<div class="m-sys-status-list">' +
-      '<div class="m-sys-status-item"><span>Tushare</span><span>' + statusDot(data.configured) + (data.configured ? " 已配置" : " 未配置") + "</span></div>" +
+      '<div class="m-sys-status-item"><span>数据中枢</span><span>' + statusDot(data.configured) + (data.configured ? " 已连接" : " 未连接") + "</span></div>" +
       '<div class="m-sys-status-item"><span>iFinD</span><span>' + statusDot(ifind.configured) + (ifind.configured ? " 已配置" : " 未配置") + "</span></div>" +
       '<div class="m-sys-status-item"><span>行情快照</span><strong>' + number(data.snapshot_dates) + " 个交易日</strong></div>" +
       '<div class="m-sys-status-item"><span>后台刷新</span><span>' + statusDot(data.background_refresh_enabled) + (data.background_refresh_enabled ? " 已启用" : " 已暂停") + "</span></div>" +
+      '<div class="m-sys-status-item"><span>数据中枢</span><span>' + statusDot(Boolean((data.datahub || {}).configured) && !((data.datahub || {}).fallback_count)) + datahubStatusText(data.datahub || {}) + "</span></div>" +
       "</div></div>" +
       '<div class="m-card m-sys-section"><strong>数据源密钥</strong>' +
-      formFieldHtml("Tushare Token", '<input id="m-sys-token" type="password" autocomplete="off" minlength="20" placeholder="留空则保留现有 Token">', false) +
-      formFieldHtml("iFinD Refresh Token", '<input id="m-sys-ifind" type="password" autocomplete="off" maxlength="2048" placeholder="留空则保留现有 Token">', false) +
-      '<button class="m-btn-primary" type="button" data-system-save-market>保存密钥</button></div>' +
+      formFieldHtml("行情来源凭据", '<input id="m-sys-token" type="text" value="请在数据中枢后台统一管理" disabled>', false) +
+      formFieldHtml("实时来源凭据", '<input id="m-sys-ifind" type="text" value="请在数据中枢后台统一管理" disabled>', false) +
+      '<button class="m-btn-primary" type="button" data-system-save-market>刷新状态</button></div>' +
       '<div class="m-card m-sys-section"><strong>后台刷新</strong>' +
       '<div class="m-sys-switch-row"><div><strong>交易时段自动刷新</strong><p class="m-sys-hint">开启后后台定时更新快照</p></div>' +
       '<button class="m-theme-switch" type="button" data-system-toggle-refresh role="switch" aria-checked="' + (data.background_refresh_enabled ? "true" : "false") + '" aria-label="交易时段自动刷新"><span class="m-theme-switch-thumb"></span></button></div>' +
@@ -5518,14 +5550,10 @@
   function saveSystemMarket() {
     const button = document.querySelector("[data-system-save-market]");
     if (button) button.disabled = true;
-    global.MobileAPI.request("/api/admin/settings", "POST", {
-      tushare_token: ((document.getElementById("m-sys-token") || {}).value || "").trim(),
-      ifind_refresh_token: ((document.getElementById("m-sys-ifind") || {}).value || "").trim(),
-    }).then(function () {
-      showToast("行情密钥已保存");
-      loadSystem();
+    loadSystem().then(function () {
+      showToast("数据中枢状态已刷新");
     }).catch(function (error) {
-      showToast(error && error.message ? error.message : "系统配置保存失败");
+      showToast(error && error.message ? error.message : "数据中枢状态读取失败");
     }).then(function () {
       if (button) button.disabled = false;
     });

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",

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;

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/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

@@ -41,11 +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 || "");
@@ -55,6 +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;
@@ -184,13 +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

@@ -62,6 +62,9 @@
     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);

frontend/shared/dashboard.js

@@ -66,11 +66,18 @@ async function startAdminRefresh() {
     const requestedCompact = requestedDate.replaceAll("-", "");
     const actualCompact = actualDate.replaceAll("-", "");
     const updated = formatTimestamp(meta.updated_at);
-    if (actualCompact !== requestedCompact || meta.carried_forward) {
-      const reason = meta.notice ? `；${meta.notice}` : "";
-      setAdminRefreshStatus("warning", `刷新已完成，但没有获取到 ${requestedDate} 的最新行情；当前仍是 ${actualDate || "未知日期"}${reason}`, "triangle-alert");
-      showToast("刷新完成，但未获取到所选日期的最新行情");
-    } else if (meta.notice) {
+    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 {
@@ -105,6 +112,37 @@ async function waitForAdminRefresh(jobKey) {
   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 ${shown}` : "今日数据正在准备，当前展示最近可用数据";
+  }
+  if (meta.data_status === "partial" || meta.limit_data_source === "derived") {
+    return meta.notice || "部分正式数据尚未到齐，当前展示日线推算结果";
+  }
+  return "";
+}
+
+function scheduleDashboardCatchup(meta = {}) {
+  window.clearTimeout(dashboardCatchupTimer);
+  const status = String(meta.data_status || "");
+  if (status !== "preparing" && status !== "partial") return;
+  dashboardCatchupTimer = window.setTimeout(() => {
+    loadDashboard(false, true, false);
+  }, 60000);
+}
+
 function applyDashboard(payload, background = false) {
   state.dashboard = payload;
   const selectedDate = payload.meta.requested_date || payload.meta.trade_date;
@@ -112,7 +150,11 @@ function applyDashboard(payload, background = false) {
   document.querySelector("#qiObservationDate").value = selectedDate;
   document.querySelector("#journalDate").value = selectedDate;
   renderDashboard();
-  setStatus(`${dashboardSourceLabel(payload.meta)} · 数据已更新`);
+  const freshness = dashboardFreshnessMessage(payload.meta || {});
+  setStatus(freshness || `${dashboardSourceLabel(payload.meta)} · 数据已更新`);
+  const updatedAt = document.querySelector("#updatedAt");
+  if (updatedAt) updatedAt.dataset.tone = freshness ? "warning" : "ok";
+  scheduleDashboardCatchup(payload.meta || {});
   if (!background) {
     if (state.activeView === "dragonView") loadDragonTiger();
     if (state.activeView === "screenerView") loadScreenerSetup();
@@ -180,7 +222,12 @@ function renderDashboard() {
     }
   }
   updateSentimentGauge(overview.sentiment_score);
-  setText("updatedAt", `${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/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;
 

tests/test_admin_refresh_status.py

@@ -1,23 +1,452 @@
 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.jobs.service import _verified_dashboard_result
+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_reported_as_failed_job(self):
-        result = _verified_dashboard_result(
-            {"meta": {"carried_forward": True, "notice": "官方涨跌停数据尚未返回"}}
+    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.assertEqual(result["status"], "failed")
-        self.assertEqual(result["error"], "官方涨跌停数据尚未返回")
+        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)
+        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__":

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_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_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 "")

tests/test_http_dispatch.py

@@ -138,7 +138,7 @@ class HttpDispatchContractTests(unittest.TestCase):
             self.assertTrue(claimed.isdisjoint(methods))
             claimed.update(methods)
             self.assertLessEqual(len(path.read_text(encoding="utf-8").splitlines()), line_limit)
-        self.assertEqual(len(claimed), 27)
+        self.assertEqual(len(claimed), 28)
 
 
 if __name__ == "__main__":

tests/test_hub_exclusive.py

@@ -0,0 +1,434 @@
+from __future__ import annotations
+
+import ast
+import json
+import re
+import threading
+import unittest
+from pathlib import Path
+from unittest.mock import patch
+
+from backend.data import build_data_gateway
+from backend.data.datahub.bridge import DatahubAwareTushareClient, DatahubBridge
+from backend.data.datahub.client import DatahubClient
+from backend.data.datahub.ifind_proxy import HubIfindProxy
+from backend.data.datahub.realtime_proxy import HubRealtimeProxy
+from backend.data.datahub.settings import DATASETS, DatahubSettings, DatasetFlags
+from backend.data.providers.tushare_transport import TushareError
+from backend.features.market.charts import MarketChartClient
+from backend.features.system.service import SystemServiceMixin
+from tests.test_datahub_bridge import FakeClient, FakeLegacy, flags
+
+
+ROOT = Path(__file__).resolve().parents[1]
+BLOCKED_HOSTS = (
+    "api.tushare.pro",
+    "push2.eastmoney.com",
+    "push2delay.eastmoney.com",
+    "push2his.eastmoney.com",
+    "push2ex.eastmoney.com",
+    "qt.gtimg.cn",
+    "hq.sinajs.cn",
+    "10jqka.com.cn",
+    "xuangubao.cn",
+    "quantapi.51ifind.com",
+    "51ifind.com",
+)
+LEFTOVER_WEBSITE_FILES = {
+    "backend/data/providers/ifind_client.py",
+    "backend/data/realtime.py",
+    "backend/features/market/charts.py",
+    "backend/data/providers/tushare_transport.py",
+}
+HUB_BASE = "http://127.0.0.1:8766"
+
+
+def _enabled_settings() -> DatahubSettings:
+    return DatahubSettings(
+        base_url=HUB_BASE,
+        token="hub-token",
+        datasets={name: DatasetFlags(name, read=True) for name in DATASETS},
+    )
+
+
+class _Resp:
+    def __init__(self, payload: dict) -> None:
+        self.status = 200
+        self._raw = json.dumps(payload).encode("utf-8")
+
+    def read(self):
+        return self._raw
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, *args):
+        return False
+
+
+def hub_payload(request) -> dict:
+    url = str(getattr(request, "full_url", None) or request)
+    if any(host in url for host in BLOCKED_HOSTS):
+        raise AssertionError(f"website opened blocked host: {url}")
+    if HUB_BASE not in url:
+        raise AssertionError(f"unexpected url: {url}")
+    path = url.split(HUB_BASE, 1)[1].split("?", 1)[0]
+    if path == "/v1/bars/daily":
+        return {
+            "schema_version": 1,
+            "data": [
+                {
+                    "ts_code": "600000.SH",
+                    "trade_date": "20240902",
+                    "open": 10.0,
+                    "high": 10.4,
+                    "low": 9.9,
+                    "close": 10.2,
+                    "volume": 100000,
+                    "amount": 2000000,
+                }
+            ],
+            "meta": {"stale": False, "staleness_seconds": 0, "source": "datahub"},
+        }
+    if path == "/v1/quotes/latest":
+        return {
+            "schema_version": 1,
+            "data": [
+                {
+                    "ts_code": "600000.SH",
+                    "code": "600000",
+                    "name": "浦发银行",
+                    "close": 10.2,
+                    "price": 10.2,
+                    "pre_close": 10.0,
+                    "open": 10.1,
+                    "high": 10.3,
+                    "low": 9.9,
+                    "vol": 1000,
+                    "amount": 2000000,
+                    "quote_date": "20240902",
+                    "source": "datahub",
+                }
+            ],
+            "meta": {"stale": False, "staleness_seconds": 0, "source": "eastmoney"},
+        }
+    if path == "/v1/indexes/quotes":
+        return {
+            "schema_version": 1,
+            "data": [
+                {
+                    "ts_code": "000001.SH",
+                    "code": "000001",
+                    "name": "上证指数",
+                    "price": 3000,
+                    "pct_chg": 1.2,
+                    "quote_time_epoch": 1725249600,
+                    "source": "datahub",
+                },
+                {
+                    "ts_code": "399001.SZ",
+                    "code": "399001",
+                    "name": "深证成指",
+                    "price": 9000,
+                    "pct_chg": 0.8,
+                    "quote_time_epoch": 1725249600,
+                    "source": "datahub",
+                },
+                {
+                    "ts_code": "399006.SZ",
+                    "code": "399006",
+                    "name": "创业板指",
+                    "price": 1800,
+                    "pct_chg": 0.5,
+                    "quote_time_epoch": 1725249600,
+                    "source": "datahub",
+                },
+            ],
+            "meta": {"stale": False, "staleness_seconds": 0, "source": "tencent"},
+        }
+    if path == "/v1/auction":
+        return {
+            "schema_version": 1,
+            "data": [
+                {
+                    "ts_code": "600000.SH",
+                    "trade_date": "20240902",
+                    "close": 10.2,
+                    "vol": 1000.0,
+                    "amount": 2000.0,
+                }
+            ],
+            "meta": {"stale": False, "staleness_seconds": 0, "source": "datahub"},
+        }
+    if path == "/v1/credentials/ifind":
+        return {
+            "schema_version": 1,
+            "data": {"configured": True, "access_ready": True, "access_expires_at": ""},
+            "meta": {"source": "ifind"},
+        }
+    if path == "/v1/intraday/points":
+        return {
+            "schema_version": 1,
+            "data": {
+                "entity_type": "stock",
+                "identifier": "600000",
+                "code": "600000",
+                "trade_date": "2024-09-02",
+                "previous_close": 10.0,
+                "points": [
+                    {"date": "2024-09-02", "time": "09:30", "close": 10.2, "average": 10.1, "open": 10.1, "high": 10.2, "low": 10.0, "volume": 100, "amount": 1000}
+                ],
+            },
+            "meta": {"stale": False, "source": "datahub"},
+        }
+    if path == "/v1/query":
+        body = json.loads(request.data.decode("utf-8") if request.data else "{}")
+        api_name = body.get("api_name")
+        if api_name == "ifind_status":
+            return {"schema_version": 1, "data": [{"configured": True, "access_ready": True, "access_expires_at": ""}], "meta": {"source": "ifind"}}
+        if api_name == "ifind_wencai":
+            return {
+                "schema_version": 1,
+                "data": [{"股票代码": "000001.SZ", "涨停原因": "重组", "首次涨停时间": "09:42:00"}],
+                "meta": {"source": "ifind"},
+            }
+        if api_name == "ifind_snapshots":
+            return {
+                "schema_version": 1,
+                "data": [
+                    {
+                        "time": "2024-09-02 09:21:00",
+                        "thscode": "000001.SZ",
+                        "latest": 10.5,
+                        "preClose": 10,
+                        "volume": 2000,
+                        "amount": 21000,
+                    }
+                ],
+                "meta": {"source": "ifind"},
+            }
+        if api_name in {"daily", "rt_k", "stk_auction"}:
+            return {
+                "schema_version": 1,
+                "data": [{"ts_code": "600000.SH", "trade_date": "20240902", "close": 10.2, "amount": 2000.0}],
+                "meta": {"source": "datahub", "stale": False, "row_shape": "tushare"},
+            }
+        raise AssertionError(f"unexpected query api: {api_name}")
+    raise AssertionError(f"unexpected path: {path}")
+
+
+def blocked_urlopen(request, timeout=None):
+    return _Resp(hub_payload(request))
+
+
+class HubExclusiveWebsiteTests(unittest.TestCase):
+    def test_website_availability_depends_on_hub_not_provider_credentials(self) -> None:
+        service = SystemServiceMixin()
+        service._system_credentials = {}
+        service.data_gateway = build_data_gateway({}, datahub_settings=_enabled_settings())
+        self.assertTrue(service.configured)
+        self.assertEqual(service.token, "datahub")
+
+    def test_website_vault_scrubs_historical_provider_credentials(self) -> None:
+        class Vault:
+            @staticmethod
+            def decrypt_json(payload):
+                if isinstance(payload, str):
+                    return json.loads(payload)
+                return dict(payload)
+
+            @staticmethod
+            def encrypt_json(payload):
+                return dict(payload)
+
+        class Database:
+            system = {
+                "tushare_token": "old-tushare",
+                "ifind_refresh_token": "old-refresh",
+                "ifind_access_token": "old-access",
+            }
+            personal = {"tushare_token": "old-personal", "llm_primary_model": "model"}
+
+            def get_system_setting(self, _name):
+                return dict(self.system)
+
+            @staticmethod
+            def first_user_id():
+                return 1
+
+            def get_user_credentials(self, _user_id):
+                return dict(self.personal)
+
+            @staticmethod
+            def list_user_credentials():
+                return [{"user_id": 1, "encrypted_payload": '{"tushare_token":"old-personal"}'}]
+
+            def save_system_setting(self, _name, payload):
+                self.system = dict(payload)
+
+            def save_user_credentials(self, _user_id, payload):
+                self.personal = dict(payload)
+
+        service = SystemServiceMixin()
+        service.database = Database()
+        service.vault = Vault()
+        service.system_lock = threading.Lock()
+        loaded = service._load_system_credentials({})
+        for key in ("tushare_token", "ifind_refresh_token", "ifind_access_token"):
+            self.assertNotIn(key, loaded)
+            self.assertNotIn(key, service.database.system)
+            self.assertNotIn(key, service.database.personal)
+
+    def test_query_never_calls_website_tushare_transport(self) -> None:
+        client = FakeClient()
+        legacy = FakeLegacy(TushareError("website tushare must stay dark"))
+        wrapped = DatahubAwareTushareClient(
+            legacy,
+            DatahubBridge(flags(daily=(True, False)), client),
+        )
+        rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,amount")
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(legacy.calls, [])
+
+    def test_blocked_external_hosts_still_read_hub(self) -> None:
+        settings = _enabled_settings()
+        hub_client = DatahubClient(settings, urlopen=blocked_urlopen)
+        legacy = FakeLegacy(TushareError("blocked"))
+        wrapped = DatahubAwareTushareClient(legacy, DatahubBridge(settings, hub_client))
+        with patch("urllib.request.urlopen", blocked_urlopen):
+            rows = wrapped.query("daily", {"trade_date": "20240902"}, "ts_code,close,amount")
+        self.assertEqual(rows[0]["close"], 10.2)
+        self.assertEqual(rows[0]["amount"], 2000.0)
+        self.assertEqual(legacy.calls, [])
+
+    def test_site_features_only_reach_hub_when_external_hosts_blocked(self) -> None:
+        settings = _enabled_settings()
+        hub_client = DatahubClient(settings, urlopen=blocked_urlopen)
+        bridge = DatahubBridge(settings, hub_client)
+        with patch("urllib.request.urlopen", blocked_urlopen):
+            quotes = bridge.try_quotes(["600000.SH"])
+            indices = bridge.try_index_quotes()
+            chart = MarketChartClient(bridge).stock_daily("600000", "20240902")
+            intraday = MarketChartClient(bridge).stock_intraday("600000")
+            ifind = HubIfindProxy(bridge)
+            wencai = ifind.wencai("2024年9月2日涨停股票")
+            snapshots = ifind.snapshots(["000001.SZ"], ["latest"], "2024-09-02 09:15:00", "2024-09-02 09:22:00")
+            realtime = HubRealtimeProxy(bridge)
+            index_rows = realtime.tencent_indices()
+            stock = realtime.tencent_stock_quote("600000.SH", "20240902")
+            health = realtime.health_snapshot()
+
+        self.assertEqual(quotes[0]["close"], 10.2)
+        self.assertEqual(len(indices), 3)
+        self.assertEqual(chart[-1]["close"], 10.2)
+        self.assertEqual(intraday["source"], "datahub")
+        self.assertEqual(wencai[0]["股票代码"], "000001.SZ")
+        self.assertEqual(snapshots[0]["latest"], 10.5)
+        self.assertEqual([row["code"] for row in index_rows], ["000001", "399001", "399006"])
+        self.assertEqual(stock["close"], 10.2)
+        self.assertTrue(health["ready"])
+        self.assertTrue(ifind.configured)
+
+    def test_production_gateway_does_not_construct_external_clients(self) -> None:
+        source = (ROOT / "backend" / "data" / "gateway.py").read_text(encoding="utf-8")
+        self.assertNotIn("IfindHttpClient", source)
+        self.assertNotIn("EastmoneyChartClient", source)
+        self.assertNotIn("WebRealtimeAggregator", source)
+        self.assertNotIn("TushareProvider", source)
+        self.assertIsNone(re.search(r"(?<![A-Za-z])TushareClient\(", source))
+        self.assertIn("HubIfindProxy", source)
+        self.assertIn("HubRealtimeProxy", source)
+        self.assertIn("DatahubAwareTushareClient", source)
+        facade = (ROOT / "backend" / "data" / "datahub" / "bridge.py").read_text(encoding="utf-8")
+        tree = ast.parse(facade)
+        cls = next(
+            node
+            for node in tree.body
+            if isinstance(node, ast.ClassDef) and node.name == "DatahubAwareTushareClient"
+        )
+        methods = {item.name for item in cls.body if isinstance(item, ast.FunctionDef)}
+        self.assertNotIn("__getattr__", methods)
+        self.assertIn("query", methods)
+        self.assertTrue(any(base.id == "DashboardMixin" for base in cls.bases if isinstance(base, ast.Name)))
+
+    def test_production_python_does_not_embed_blocked_hosts(self) -> None:
+        violations = []
+        for path in (ROOT / "backend").rglob("*.py"):
+            relative = path.relative_to(ROOT).as_posix()
+            if relative in LEFTOVER_WEBSITE_FILES:
+                continue
+            text = path.read_text(encoding="utf-8")
+            for host in BLOCKED_HOSTS:
+                if host in text:
+                    violations.append(f"{relative} -> {host}")
+        self.assertEqual(violations, [])
+
+    def test_website_runtime_does_not_call_blocked_hosts_from_gateway(self) -> None:
+        gateway_src = (ROOT / "backend" / "data" / "gateway.py").read_text(encoding="utf-8")
+        self.assertNotIn("TushareProvider", gateway_src)
+        self.assertIsNone(re.search(r"(?<![A-Za-z])TushareClient\(", gateway_src))
+        self.assertIn("DatahubAwareTushareClient", gateway_src)
+
+    def test_bridge_query_has_no_legacy_call(self) -> None:
+        source = (ROOT / "backend" / "data" / "datahub" / "bridge.py").read_text(encoding="utf-8")
+        tree = ast.parse(source)
+        query_fn = next(
+            node
+            for node in tree.body
+            if isinstance(node, ast.ClassDef) and node.name == "DatahubBridge"
+            for item in node.body
+            if isinstance(item, ast.FunctionDef) and item.name == "query"
+        )
+        called = [
+            ast.unparse(item.func) if hasattr(ast, "unparse") else ""
+            for item in ast.walk(query_fn)
+            if isinstance(item, ast.Call)
+        ]
+        self.assertTrue(any("query_api" in text for text in called))
+        self.assertFalse(any("legacy_query" in text for text in called))
+
+    def test_build_gateway_uses_hub_proxies_without_opening_external_hosts(self) -> None:
+        settings = _enabled_settings()
+        with patch("urllib.request.urlopen", blocked_urlopen):
+            gateway = build_data_gateway({"tushare_token": "tok"}, datahub_settings=settings)
+            hub_client = DatahubClient(settings, urlopen=blocked_urlopen)
+            gateway.datahub.client = hub_client
+            rows = gateway.ifind.wencai("涨停")
+            quotes = gateway.realtime_observer.tencent_indices()
+            chart = gateway.chart_data.stock_daily("600000", "20240902")
+            market = gateway.tushare()
+            market_quotes = market.try_quotes(["600000.SH"])
+            auction = market.query("stk_auction", {"trade_date": "20240902"}, "")
+        self.assertEqual(rows[0]["涨停原因"], "重组")
+        self.assertEqual(len(quotes), 3)
+        self.assertEqual(chart[-1]["close"], 10.2)
+        self.assertEqual(market_quotes[0]["close"], 10.2)
+        self.assertEqual(auction[0]["close"], 10.2)
+        self.assertIsNone(market.realtime_aggregator)
+        self.assertEqual(market.token, "datahub")
+
+    def test_website_does_not_accept_or_forward_provider_credentials(self) -> None:
+        proxy = HubIfindProxy(DatahubBridge(_enabled_settings(), FakeClient()))
+        self.assertFalse(hasattr(proxy, "set_credentials"))
+        client_source = (ROOT / "backend" / "data" / "datahub" / "client.py").read_text(encoding="utf-8")
+        application_source = (ROOT / "backend" / "application.py").read_text(encoding="utf-8")
+        self.assertNotIn("/v1/credentials", client_source)
+        self.assertNotIn("ifind_refresh_token", application_source)
+
+    def test_site_configuration_depends_on_hub_not_provider_credentials(self) -> None:
+        service = SystemServiceMixin()
+        service._system_credentials = {}
+        service.data_gateway = build_data_gateway({}, datahub_settings=_enabled_settings())
+        self.assertTrue(service.configured)
+        self.assertEqual(service.token, "datahub")
+
+    def test_compose_passes_ifind_env_to_hub(self) -> None:
+        overlay = (ROOT / "compose.datahub.yaml").read_text(encoding="utf-8")
+        standalone = (ROOT / "xiaobai-datahub" / "compose.yaml").read_text(encoding="utf-8")
+        for text in (overlay, standalone):
+            self.assertIn('IFIND_REFRESH_TOKEN: "${IFIND_REFRESH_TOKEN:-}"', text)
+            self.assertIn('IFIND_ACCESS_TOKEN: "${IFIND_ACCESS_TOKEN:-}"', text)
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_ifind_features.py

@@ -6,12 +6,26 @@ from datetime import date, datetime, timedelta, timezone
 from pathlib import Path
 from unittest.mock import patch
 
-from backend.features.market.charts import EastmoneyChartClient, MarketChartClient
+from backend.features.market.charts import MarketChartClient
 from database import ReviewDatabase
 from backend.features.market.insights import MarketInsightsService
 from server import DashboardService
 
 
+class _FakeDailyHub:
+    def __init__(self, rows: list) -> None:
+        self.rows = rows
+
+    def try_daily_chart(self, code, end_date, limit, dataset="daily"):
+        return list(self.rows)
+
+    def try_quotes(self, codes):
+        return None
+
+    def try_index_quotes(self):
+        return None
+
+
 class FakeIfind:
     configured = True
 
@@ -128,13 +142,50 @@ class IfindFeatureTests(unittest.TestCase):
             self.assertEqual(database.list_wencai_saved_queries(second["id"]), [])
 
     def test_ifind_daily_chart_normalizes_change(self):
-        client = MarketChartClient(FakeIfind(), EastmoneyChartClient())
+        hub = _FakeDailyHub(
+            [
+                {
+                    "trade_date": "2026-07-27",
+                    "open": 10,
+                    "high": 10.5,
+                    "low": 9.8,
+                    "close": 10.2,
+                    "volume": 100,
+                    "amount_billion": 0.01,
+                    "change": 0,
+                },
+                {
+                    "trade_date": "2026-07-28",
+                    "open": 10.2,
+                    "high": 10.8,
+                    "low": 10.1,
+                    "close": 10.5,
+                    "volume": 120,
+                    "amount_billion": 0.012,
+                    "change": 2.9412,
+                },
+            ]
+        )
+        client = MarketChartClient(hub)
         rows = client.stock_daily("000001", "20260728")
         self.assertEqual(rows[-1]["trade_date"], "2026-07-28")
         self.assertAlmostEqual(rows[-1]["change"], 2.9412, places=4)
 
     def test_ifind_daily_chart_keeps_last_traded_bar_before_market_open(self):
-        client = MarketChartClient(FakeIfindStalePreopen(), EastmoneyChartClient())
+        hub = _FakeDailyHub(
+            [
+                {
+                    "trade_date": "2026-07-28",
+                    "open": 10.2,
+                    "high": 10.8,
+                    "low": 10.1,
+                    "close": 10.5,
+                    "volume": 120,
+                    "amount_billion": 0.012,
+                }
+            ]
+        )
+        client = MarketChartClient(hub)
         with patch("backend.features.market.charts.datetime", FixedPreopenDatetime):
             rows = client.stock_daily("000001", "20260729")
 

tests/test_mobile_system_pages.py

@@ -58,7 +58,7 @@ class MobileSystemPagesRegressionTests(unittest.TestCase):
             "data-system-edit-model",
             "data-system-open-member",
             "管理员专区",
-            "保存密钥",
+            "刷新状态",
             "保存分工",
             'location.assign("/login/")',
         ):

tests/test_realtime_dashboard.py

@@ -1,8 +1,16 @@
 from __future__ import annotations
 
 import unittest
+from datetime import datetime, timedelta, timezone
 
 from backend.data.providers.tushare_client import TushareClient
+from backend.data.providers.tushare_helpers import calendar_is_open
+from backend.data.providers.tushare_transport import TushareError
+from backend.data.realtime import (
+    RealtimeAggregateError,
+    _normalize_eastmoney_quote,
+    _parse_tencent_stock_quote,
+)
 
 
 class FakeRealtimeClient(TushareClient):
@@ -81,6 +89,72 @@ class FakeRealtimeClient(TushareClient):
         raise AssertionError(f"Unexpected API call: {api_name} {params}")
 
 
+FREE_QUOTES = [
+    {
+        "ts_code": "000001.SZ", "name": "甲", "pre_close": 10.0,
+        "open": 10.1, "high": 11.0, "low": 10.0, "close": 11.0,
+        "vol": 1000, "amount": 100000000, "num": 10,
+        "quote_date": "20260720",
+    },
+    {
+        "ts_code": "000002.SZ", "name": "乙", "pre_close": 20.0,
+        "open": 19.5, "high": 20.0, "low": 18.0, "close": 18.0,
+        "vol": 2000, "amount": 200000000, "num": 20,
+        "quote_date": "20260720",
+    },
+    {
+        "ts_code": "000003.SZ", "name": "丙", "pre_close": 30.0,
+        "open": 31.0, "high": 33.0, "low": 30.0, "close": 32.0,
+        "vol": 3000, "amount": 300000000, "num": 30,
+        "quote_date": "20260720",
+    },
+]
+
+
+class FakeFreeAggregator:
+    def __init__(self, quotes=None, fail=False):
+        self.quotes = list(quotes if quotes is not None else FREE_QUOTES)
+        self.fail = fail
+        self.calls = 0
+
+    def eastmoney_market_quotes(self, expected_date=""):
+        self.calls += 1
+        if self.fail:
+            raise RealtimeAggregateError("eastmoney down")
+        if expected_date and self.quotes:
+            dated = [
+                row for row in self.quotes
+                if str(row.get("quote_date") or "") == str(expected_date).replace("-", "")
+            ]
+            if dated:
+                return dated
+        return list(self.quotes)
+
+    def tencent_market_quotes(self, codes, expected_date=""):
+        return self.eastmoney_market_quotes(expected_date)
+
+    def tencent_stock_quotes(self, codes, expected_date="", minimum=None):
+        wanted = {str(code).strip() for code in (codes or []) if str(code).strip()}
+        rows = self.tencent_market_quotes(codes, expected_date)
+        if not wanted:
+            return rows
+        return [row for row in rows if str(row.get("ts_code") or "") in wanted]
+
+    def eastmoney_indices(self):
+        return [
+            {
+                "code": "000001",
+                "name": "上证指数",
+                "price": 3800.12,
+                "change": 0.85,
+                "previous_close": 3768.0,
+                "amount_billion": 4200.5,
+                "quote_time": "2026-07-20T10:05:00+08:00",
+                "source": "eastmoney_push2",
+            }
+        ]
+
+
 class RealtimeDashboardTests(unittest.TestCase):
     def setUp(self):
         TushareClient._realtime_reference_cache.clear()
@@ -130,6 +204,255 @@ class RealtimeDashboardTests(unittest.TestCase):
         self.assertEqual(dashboard["meta"]["limit_data_source"], "derived")
         self.assertIn("日线数据推算", dashboard["meta"]["notice"])
 
+    def test_calendar_open_flag_accepts_string_and_bool(self):
+        self.assertTrue(calendar_is_open(1))
+        self.assertTrue(calendar_is_open("1"))
+        self.assertTrue(calendar_is_open(True))
+        self.assertFalse(calendar_is_open(0))
+        self.assertFalse(calendar_is_open("0"))
+        self.assertFalse(calendar_is_open(False))
+
+        original_query = self.client.query
+
+        def query(api_name, params=None, fields=""):
+            if api_name == "trade_cal":
+                return [
+                    {
+                        "cal_date": params.get("start_date"),
+                        "is_open": "1",
+                        "pretrade_date": "20260907",
+                    }
+                ]
+            return original_query(api_name, params, fields)
+
+        self.client.query = query
+        trade_date, previous = self.client.resolve_trade_context("20260908")
+        self.assertEqual(trade_date, "20260908")
+        self.assertEqual(previous, "20260907")
+
+    def test_session_clock_uses_realtime_until_official_window(self):
+        today = "20260908"
+        self.client.clock = lambda: datetime(
+            2026, 9, 8, 10, 5, tzinfo=timezone(timedelta(hours=8))
+        )
+        self.assertTrue(self.client.should_use_realtime(today, today))
+        self.client.clock = lambda: datetime(
+            2026, 9, 8, 16, 10, tzinfo=timezone(timedelta(hours=8))
+        )
+        self.assertFalse(self.client.should_use_realtime(today, today))
+
+    def test_realtime_dashboard_survives_missing_limit_table(self):
+        original_query = self.client.query
+
+        def query(api_name, params=None, fields=""):
+            if api_name == "stk_limit":
+                return []
+            return original_query(api_name, params, fields)
+
+        self.client.query = query
+        TushareClient._realtime_reference_cache.clear()
+        dashboard = self.client._realtime_dashboard("20260720", "20260720", "20260717")
+        self.assertTrue(dashboard["meta"]["realtime"])
+        self.assertEqual(dashboard["meta"]["quote_count"], 3)
+        self.assertEqual(dashboard["overview"]["limit_up_count"], 0)
+
+    def test_hub_quotes_used_when_rt_k_denied(self):
+        original_query = self.client.query
+
+        def query(api_name, params=None, fields=""):
+            if api_name == "rt_k":
+                raise TushareError("没有接口访问权限")
+            return original_query(api_name, params, fields)
+
+        self.client.query = query
+        self.client.try_market_quotes = lambda trade_date: list(FREE_QUOTES)
+        TushareClient._realtime_reference_cache.clear()
+        dashboard = self.client._realtime_dashboard("20260720", "20260720", "20260717")
+
+        self.assertTrue(dashboard["meta"]["realtime"])
+        self.assertEqual(dashboard["meta"]["quote_source"], "datahub")
+        self.assertEqual(dashboard["meta"]["trade_date"], "2026-07-20")
+        self.assertEqual(dashboard["meta"]["quote_count"], 3)
+        self.assertEqual(dashboard["overview"]["limit_up_count"], 1)
+        self.assertEqual(dashboard["overview"]["limit_down_count"], 1)
+        self.assertEqual(dashboard["overview"]["amount_billion"], 6.0)
+        self.assertIn("数据中枢", dashboard["meta"]["notice"])
+
+    def test_hub_quotes_used_when_rt_k_empty(self):
+        original_query = self.client.query
+
+        def query(api_name, params=None, fields=""):
+            if api_name == "rt_k":
+                return []
+            return original_query(api_name, params, fields)
+
+        self.client.query = query
+        self.client.try_market_quotes = lambda trade_date: list(FREE_QUOTES)
+        TushareClient._realtime_reference_cache.clear()
+        dashboard = self.client._realtime_dashboard("20260720", "20260720", "20260717")
+        self.assertEqual(dashboard["meta"]["quote_source"], "datahub")
+        self.assertEqual(str(dashboard["meta"]["trade_date"]).replace("-", ""), "20260720")
+
+    def test_hub_failure_keeps_today_error(self):
+        original_query = self.client.query
+
+        def query(api_name, params=None, fields=""):
+            if api_name == "rt_k":
+                raise TushareError("数据中枢行情暂不可用")
+            return original_query(api_name, params, fields)
+
+        self.client.query = query
+        TushareClient._realtime_reference_cache.clear()
+        with self.assertRaises(TushareError) as ctx:
+            self.client._realtime_dashboard("20260720", "20260720", "20260717")
+        self.assertIn("当天盘中实时行情不可用", str(ctx.exception))
+
+    def test_hub_failover_is_invisible_to_website(self):
+        original_query = self.client.query
+
+        def query(api_name, params=None, fields=""):
+            if api_name == "rt_k":
+                raise TushareError("没有接口访问权限")
+            return original_query(api_name, params, fields)
+
+        self.client.query = query
+        self.client.try_market_quotes = lambda trade_date: list(FREE_QUOTES)
+        TushareClient._realtime_reference_cache.clear()
+        dashboard = self.client._realtime_dashboard("20260720", "20260720", "20260717")
+        self.assertEqual(dashboard["meta"]["quote_source"], "datahub")
+        self.assertEqual(str(dashboard["meta"]["trade_date"]).replace("-", ""), "20260720")
+        self.assertIn("数据中枢", dashboard["meta"]["notice"])
+        self.assertEqual(dashboard["overview"]["amount_billion"], 6.0)
+
+    def test_normalize_eastmoney_quote_maps_units_and_exchange(self):
+        quote = _normalize_eastmoney_quote(
+            {
+                "f12": "600000",
+                "f13": 1,
+                "f14": "浦发银行",
+                "f2": 10.5,
+                "f5": 12.0,
+                "f6": 200000000,
+                "f15": 10.8,
+                "f16": 10.2,
+                "f17": 10.3,
+                "f18": 10.0,
+                "f124": 1752986700,
+            }
+        )
+        self.assertEqual(quote["ts_code"], "600000.SH")
+        self.assertEqual(quote["vol"], 1200)
+        self.assertEqual(quote["close"], 10.5)
+        self.assertEqual(quote["pre_close"], 10.0)
+        self.assertEqual(quote["source"], "eastmoney_clist")
+
+    def test_parse_tencent_stock_quote_keeps_today_and_units(self):
+        line = (
+            'v_sz000001="51~平安银行~000001~11.73~11.70~11.66~346232~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~0~'
+            '~20260720100500~0.03~0.26~11.79~11.65~11.73/346232/406045563~346232~40605~0.18~5.24~~11.79~11.65~1.20~'
+            '2276.29~2276.31~0.49~12.87~10.53~0.95~-3076~11.73~4.43~5.34~~~0.18~40604.5563~0.0000~0~";'
+        )
+        quote = _parse_tencent_stock_quote(line)
+        self.assertEqual(quote["ts_code"], "000001.SZ")
+        self.assertEqual(quote["quote_date"], "20260720")
+        self.assertEqual(quote["close"], 11.73)
+        self.assertEqual(quote["pre_close"], 11.70)
+        self.assertEqual(quote["vol"], 34623200)
+        self.assertEqual(quote["amount"], 406050000)
+        self.assertEqual(quote["source"], "tencent_qt")
+
+    def test_datahub_market_quotes_used_before_legacy(self):
+        calls = []
+
+        def try_market_quotes(trade_date):
+            calls.append(trade_date)
+            return list(FREE_QUOTES)
+
+        self.client.try_market_quotes = try_market_quotes
+        self.client.realtime_aggregator = FakeFreeAggregator(fail=True)
+        TushareClient._realtime_reference_cache.clear()
+        dashboard = self.client._realtime_dashboard("20260720", "20260720", "20260717")
+        self.assertEqual(calls, ["20260720"])
+        self.assertEqual(dashboard["meta"]["quote_source"], "datahub")
+        self.assertEqual(dashboard["meta"]["source"], "datahub")
+        self.assertEqual(dashboard["meta"]["quote_count"], 3)
+        self.assertIn("数据中枢", dashboard["meta"]["notice"])
+
+    def test_gateway_dashboard_uses_bound_market_quotes(self) -> None:
+        from backend.data import build_data_gateway
+        from backend.data.datahub.bridge import DatahubAwareTushareClient
+        from backend.data.datahub.client import DatahubResponse
+        from backend.data.datahub.settings import DATASETS, DatahubSettings, DatasetFlags
+
+        quotes = [
+            {
+                "ts_code": item["ts_code"],
+                "name": item["name"],
+                "pre_close": item["pre_close"],
+                "open": item["open"],
+                "high": item["high"],
+                "low": item["low"],
+                "close": item["close"],
+                "vol": item["vol"],
+                "amount": item["amount"],
+                "quote_date": "20260720",
+            }
+            for item in FREE_QUOTES
+        ]
+        extras = [
+            {
+                "ts_code": f"{index:06d}.SZ",
+                "name": f"X{index}",
+                "pre_close": 10.0,
+                "open": 10.0,
+                "high": 10.2,
+                "low": 9.8,
+                "close": 10.1,
+                "vol": 100.0,
+                "amount": 1000.0,
+                "quote_date": "20260720",
+            }
+            for index in range(10, 230)
+        ]
+
+        class QuoteHub:
+            def __init__(self):
+                self.calls = []
+
+            def query_api(self, api_name, params=None, fields=""):
+                rows = FakeRealtimeClient("tok").query(api_name, params or {}, fields)
+                return DatahubResponse(
+                    data=rows,
+                    meta={"source": "datahub", "stale": False, "staleness_seconds": 0, "row_shape": "tushare"},
+                )
+
+            def quotes_latest(self, **params):
+                return self.get("/v1/quotes/latest", params)
+
+            def get(self, path, params=None):
+                self.calls.append(path)
+                if path == "/v1/quotes/latest":
+                    return DatahubResponse(
+                        data=quotes + extras,
+                        meta={"stale": False, "staleness_seconds": 0, "source": "eastmoney_clist"},
+                    )
+                raise AssertionError(path)
+
+        datasets = {name: DatasetFlags(name) for name in DATASETS}
+        datasets["quotes"] = DatasetFlags("quotes", read=True, shadow=False)
+        settings = DatahubSettings(base_url="http://127.0.0.1:9", token="tok", datasets=datasets)
+        gateway = build_data_gateway({"tushare_token": "tok"}, datahub_settings=settings)
+        gateway.datahub.client = QuoteHub()
+        wrapped = gateway.tushare()
+        wrapped.clock = lambda: datetime(2026, 7, 20, 10, 30, tzinfo=timezone(timedelta(hours=8)))
+        wrapped.realtime_aggregator = FakeFreeAggregator(fail=True)
+        DatahubAwareTushareClient._realtime_reference_cache.clear()
+        dashboard = wrapped.dashboard("20260720")
+        self.assertEqual(dashboard["meta"]["quote_source"], "datahub")
+        self.assertIn("/v1/quotes/latest", gateway.datahub.client.calls)
+        self.assertTrue(callable(getattr(type(wrapped), "try_market_quotes", None)))
+        self.assertFalse(hasattr(wrapped, "_legacy"))
+
 
 if __name__ == "__main__":
     unittest.main()

tests/test_stock_detail_realtime.py

@@ -5,6 +5,10 @@ import unittest
 from datetime import datetime, timedelta
 from unittest.mock import patch
 
+from backend.data.providers.tushare_client import TushareError
+from backend.data.realtime import RealtimeAggregateError
+from backend.features.market.charts import ChartDataError
+from backend.features.market.service import TODAY_DAILY_UNAVAILABLE_NOTICE
 from server import DashboardService
 
 
@@ -17,6 +21,10 @@ class DetailDatabaseStub:
     def list_notes(user_id, code=""):
         return []
 
+    @staticmethod
+    def get_snapshot(trade_date):
+        return {}
+
 
 class RealtimeClientStub:
     quote_calls = 0
@@ -45,6 +53,18 @@ class RealtimeClientStub:
         }
 
 
+class DataGatewayStub:
+    def __init__(self, client):
+        self.client = client
+
+    def tushare(self):
+        return self.client
+
+    @staticmethod
+    def datahub_status():
+        return {"configured": True}
+
+
 class FixedMarketDatetime(datetime):
     fixed_now = datetime(2026, 7, 31, 10, 30).astimezone()
 
@@ -61,6 +81,122 @@ class FixedPreopenDatetime(datetime):
         return cls.fixed_now
 
 
+class FixedLunchDatetime(datetime):
+    fixed_now = datetime(2026, 7, 31, 11, 45).astimezone()
+
+    @classmethod
+    def now(cls, tz=None):
+        return cls.fixed_now
+
+
+class FixedAfterCloseDatetime(datetime):
+    fixed_now = datetime(2026, 7, 31, 15, 30).astimezone()
+
+    @classmethod
+    def now(cls, tz=None):
+        return cls.fixed_now
+
+
+class DeniedRealtimeClientStub:
+    quote_calls = 0
+
+    def __init__(self, token):
+        self.token = token
+
+    @staticmethod
+    def resolve_trade_context(requested_date):
+        return requested_date, requested_date
+
+    @classmethod
+    def realtime_stock_quote(cls, ts_code, reference_date=""):
+        cls.quote_calls += 1
+        raise TushareError("没有接口访问权限")
+
+
+class FreeQuoteAggregator:
+    def __init__(self, quote=None, fail=False):
+        self.quote = quote
+        self.fail = fail
+        self.tencent_calls = 0
+        self.eastmoney_calls = 0
+
+    def tencent_stock_quote(self, code, expected_date=""):
+        self.tencent_calls += 1
+        if self.fail:
+            raise RealtimeAggregateError("tencent down")
+        if self.quote and self.quote.get("source") == "eastmoney_stock":
+            raise RealtimeAggregateError("tencent empty")
+        if self.quote:
+            return self.quote
+        raise RealtimeAggregateError("tencent empty")
+
+    def eastmoney_stock_quote(self, code, expected_date=""):
+        self.eastmoney_calls += 1
+        if self.fail:
+            raise RealtimeAggregateError("eastmoney down")
+        if self.quote and self.quote.get("source") == "eastmoney_stock":
+            return self.quote
+        raise RealtimeAggregateError("eastmoney empty")
+
+
+class IntradayChartStub:
+    def __init__(self, points, previous_close=10.0, trade_date="2026-07-31"):
+        self.points = points
+        self.previous_close = previous_close
+        self.trade_date = trade_date
+
+    def stock_daily(self, code, end_date, limit=90):
+        raise ChartDataError("iFinD daily unavailable")
+
+    def stock_intraday(self, code):
+        return {
+            "trade_date": self.trade_date,
+            "previous_close": self.previous_close,
+            "points": self.points,
+        }
+
+
+def _history_payload(code="002141"):
+    yesterday = (FixedMarketDatetime.fixed_now - timedelta(days=1)).strftime("%Y-%m-%d")
+    return {
+        "meta": {"trade_date": yesterday, "source": "tushare"},
+        "stock": {"code": code, "name": "旧名称", "price": 10, "change": 7.1},
+        "prices": [
+            {
+                "trade_date": yesterday,
+                "open": 9.5,
+                "high": 10.1,
+                "low": 9.4,
+                "close": 10,
+                "change": 7.1,
+                "volume": 100,
+                "amount_billion": 1.1,
+            }
+        ],
+        "moneyflow": {},
+    }
+
+
+def _free_quote(source="tencent_qt", **overrides):
+    quote = {
+        "ts_code": "002141.SZ",
+        "name": "贤程科技",
+        "pre_close": 10.0,
+        "open": 10.2,
+        "high": 10.8,
+        "low": 10.1,
+        "close": 10.6,
+        "vol": 250000,
+        "amount": 26_500_000,
+        "quote_date": "20260731",
+        "quote_time_epoch": int(datetime(2026, 7, 31, 10, 31).timestamp()),
+        "source": source,
+        "turnover_rate": 2.5,
+    }
+    quote.update(overrides)
+    return quote
+
+
 class StockDetailRealtimeTests(unittest.TestCase):
     def setUp(self):
         self.service = DashboardService.__new__(DashboardService)
@@ -68,7 +204,13 @@ class StockDetailRealtimeTests(unittest.TestCase):
         self.service.database = DetailDatabaseStub()
         self.service._request_context = threading.local()
         self.service._request_context.user_id = 1
+        self.service.ifind = None
+        self.service.realtime_aggregator = None
+        self.service.chart_data = None
+        self.service._market_client_override = RealtimeClientStub("datahub")
+        self.service.data_gateway = DataGatewayStub(self.service._market_client_override)
         RealtimeClientStub.quote_calls = 0
+        DeniedRealtimeClientStub.quote_calls = 0
 
     def test_today_detail_merges_rt_quote_without_mutating_daily_cache(self):
         today = FixedMarketDatetime.fixed_now.strftime("%Y%m%d")
@@ -90,9 +232,7 @@ class StockDetailRealtimeTests(unittest.TestCase):
             "moneyflow": {},
         }
 
-        with patch("backend.features.market.service.datetime", FixedMarketDatetime), patch(
-            "backend.features.market.service.TushareClient", RealtimeClientStub
-        ):
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
             result = self.service._prepare_stock_detail(cached, "002141", today)
 
         self.assertEqual(result["meta"]["trade_date"], FixedMarketDatetime.fixed_now.strftime("%Y-%m-%d"))
@@ -112,9 +252,7 @@ class StockDetailRealtimeTests(unittest.TestCase):
             "stock": {"code": "002141", "price": 10, "change": 1.2},
             "prices": [{"trade_date": historical, "close": 10, "change": 1.2}],
         }
-        with patch("backend.features.market.service.datetime", FixedMarketDatetime), patch(
-            "backend.features.market.service.TushareClient", RealtimeClientStub
-        ):
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
             result = self.service._prepare_stock_detail(payload, "002141", historical)
 
         self.assertEqual(result["stock"]["change"], 1.2)
@@ -151,9 +289,7 @@ class StockDetailRealtimeTests(unittest.TestCase):
                 },
             ],
         }
-        with patch("backend.features.market.service.datetime", FixedPreopenDatetime), patch(
-            "backend.features.market.service.TushareClient", RealtimeClientStub
-        ):
+        with patch("backend.features.market.service.datetime", FixedPreopenDatetime):
             result = self.service._prepare_stock_detail(payload, "002141", today)
 
         self.assertEqual(result["meta"]["trade_date"], yesterday)
@@ -162,6 +298,179 @@ class StockDetailRealtimeTests(unittest.TestCase):
         self.assertEqual(result["stock"]["change"], 1.2)
         self.assertEqual(RealtimeClientStub.quote_calls, 0)
 
+    def test_today_detail_falls_back_to_tencent_quote_when_rt_k_denied(self):
+        today = FixedMarketDatetime.fixed_now.strftime("%Y%m%d")
+        aggregator = FreeQuoteAggregator(_free_quote())
+        self.service.realtime_aggregator = aggregator
+        self.service._market_client_override = DeniedRealtimeClientStub("datahub")
+        DeniedRealtimeClientStub.quote_calls = 0
+
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
+            result = self.service._prepare_stock_detail(_history_payload(), "002141", today)
+
+        bar = result["prices"][-1]
+        self.assertEqual(bar["trade_date"], "2026-07-31")
+        self.assertTrue(bar["realtime"])
+        self.assertEqual(bar["open"], 10.2)
+        self.assertEqual(bar["high"], 10.8)
+        self.assertEqual(bar["low"], 10.1)
+        self.assertEqual(bar["close"], 10.6)
+        self.assertAlmostEqual(bar["change"], 6.0, places=4)
+        self.assertEqual(bar["volume"], 2500)
+        self.assertAlmostEqual(bar["amount_billion"], 0.265)
+        self.assertEqual(len(result["prices"]), 2)
+        self.assertEqual(result["meta"]["notice"], "")
+        self.assertEqual(aggregator.tencent_calls, 1)
+        self.assertEqual(DeniedRealtimeClientStub.quote_calls, 1)
+
+    def test_today_detail_falls_back_to_eastmoney_then_intraday(self):
+        today = FixedMarketDatetime.fixed_now.strftime("%Y%m%d")
+        aggregator = FreeQuoteAggregator(
+            _free_quote(
+                "eastmoney_stock",
+                ts_code="600000.SH",
+                name="浦发银行",
+                net_mf_amount=12,
+            ),
+        )
+        self.service.realtime_aggregator = aggregator
+        self.service._market_client_override = DeniedRealtimeClientStub("datahub")
+        DeniedRealtimeClientStub.quote_calls = 0
+
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
+            result = self.service._prepare_stock_detail(_history_payload("600000"), "600000", today)
+
+        self.assertEqual(result["prices"][-1]["trade_date"], "2026-07-31")
+        self.assertEqual(result["prices"][-1]["close"], 10.6)
+        self.assertEqual(aggregator.tencent_calls, 1)
+        self.assertEqual(aggregator.eastmoney_calls, 1)
+
+        aggregator = FreeQuoteAggregator(fail=True)
+        self.service.realtime_aggregator = aggregator
+        self.service.chart_data = IntradayChartStub(
+            [
+                {
+                    "date": "2026-07-31",
+                    "time": "09:30",
+                    "open": 10.1,
+                    "high": 10.2,
+                    "low": 10.0,
+                    "close": 10.15,
+                    "volume": 120,
+                    "amount": 121800,
+                },
+                {
+                    "date": "2026-07-31",
+                    "time": "10:05",
+                    "open": 10.15,
+                    "high": 10.5,
+                    "low": 9.9,
+                    "close": 10.4,
+                    "volume": 80,
+                    "amount": 83200,
+                },
+            ]
+        )
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
+            result = self.service._prepare_stock_detail(_history_payload("300750"), "300750", today)
+
+        bar = result["prices"][-1]
+        self.assertEqual(bar["trade_date"], "2026-07-31")
+        self.assertEqual(bar["open"], 10.1)
+        self.assertEqual(bar["high"], 10.5)
+        self.assertEqual(bar["low"], 9.9)
+        self.assertEqual(bar["close"], 10.4)
+        self.assertAlmostEqual(bar["change"], 4.0, places=4)
+        self.assertEqual(bar["volume"], 200)
+        self.assertTrue(bar["realtime"])
+
+    def test_today_detail_keeps_history_when_free_sources_fail(self):
+        today = FixedMarketDatetime.fixed_now.strftime("%Y%m%d")
+        self.service.realtime_aggregator = FreeQuoteAggregator(fail=True)
+        self.service.chart_data = IntradayChartStub([], trade_date="2026-07-30")
+        self.service._market_client_override = DeniedRealtimeClientStub("datahub")
+        DeniedRealtimeClientStub.quote_calls = 0
+
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
+            result = self.service._prepare_stock_detail(_history_payload(), "002141", today)
+
+        self.assertEqual(result["prices"][-1]["trade_date"], "2026-07-30")
+        self.assertFalse(result["meta"].get("realtime", False))
+        self.assertEqual(result["meta"]["notice"], TODAY_DAILY_UNAVAILABLE_NOTICE)
+        self.assertEqual(len(result["prices"]), 1)
+
+    def test_lunch_keeps_morning_realtime_bar(self):
+        today = FixedLunchDatetime.fixed_now.strftime("%Y%m%d")
+        self.service.realtime_aggregator = FreeQuoteAggregator(
+            _free_quote(quote_time_epoch=int(datetime(2026, 7, 31, 11, 30).timestamp()))
+        )
+        self.service._market_client_override = DeniedRealtimeClientStub("datahub")
+        DeniedRealtimeClientStub.quote_calls = 0
+        with patch("backend.features.market.service.datetime", FixedLunchDatetime):
+            result = self.service._prepare_stock_detail(_history_payload(), "002141", today)
+
+        self.assertEqual(result["prices"][-1]["trade_date"], "2026-07-31")
+        self.assertTrue(result["meta"]["realtime"])
+
+    def test_after_close_keeps_forming_bar_until_official_ready(self):
+        today = FixedAfterCloseDatetime.fixed_now.strftime("%Y%m%d")
+        self.service.realtime_aggregator = FreeQuoteAggregator(_free_quote())
+        self.service._market_client_override = DeniedRealtimeClientStub("datahub")
+        DeniedRealtimeClientStub.quote_calls = 0
+        with patch("backend.features.market.service.datetime", FixedAfterCloseDatetime):
+            forming = self.service._prepare_stock_detail(_history_payload(), "002141", today)
+        self.assertEqual(forming["prices"][-1]["trade_date"], "2026-07-31")
+        self.assertTrue(forming["prices"][-1]["realtime"])
+
+        official = _history_payload()
+        official["prices"].append(
+            {
+                "trade_date": "2026-07-31",
+                "open": 10.15,
+                "high": 10.9,
+                "low": 10.05,
+                "close": 10.7,
+                "change": 7.0,
+                "volume": 1800,
+                "amount_billion": 0.3,
+            }
+        )
+        RealtimeClientStub.quote_calls = 0
+        self.service._market_client_override = RealtimeClientStub("datahub")
+        with patch("backend.features.market.service.datetime", FixedAfterCloseDatetime):
+            replaced = self.service._prepare_stock_detail(official, "002141", today)
+
+        self.assertEqual(replaced["prices"][-1]["close"], 10.7)
+        self.assertFalse(replaced["prices"][-1].get("realtime", False))
+        self.assertEqual(len(replaced["prices"]), 2)
+        self.assertEqual(RealtimeClientStub.quote_calls, 0)
+
+    def test_same_date_bar_is_replaced_not_duplicated(self):
+        today = FixedMarketDatetime.fixed_now.strftime("%Y%m%d")
+        payload = _history_payload()
+        payload["prices"].append(
+            {
+                "trade_date": "2026-07-31",
+                "open": 10.0,
+                "high": 10.1,
+                "low": 9.9,
+                "close": 10.05,
+                "change": 0.5,
+                "volume": 10,
+                "amount_billion": 0.01,
+                "realtime": True,
+            }
+        )
+        self.service.realtime_aggregator = FreeQuoteAggregator(_free_quote())
+        self.service._market_client_override = DeniedRealtimeClientStub("datahub")
+        DeniedRealtimeClientStub.quote_calls = 0
+        with patch("backend.features.market.service.datetime", FixedMarketDatetime):
+            result = self.service._prepare_stock_detail(payload, "002141", today)
+
+        self.assertEqual(len(result["prices"]), 2)
+        self.assertEqual(result["prices"][-1]["close"], 10.6)
+        self.assertEqual(result["prices"][-1]["trade_date"], "2026-07-31")
+
 
 if __name__ == "__main__":
     unittest.main()

tools/build_architecture_inventory.py

@@ -97,6 +97,7 @@ def code_hotspots() -> list[dict[str, Any]]:
         "backend/features/system/service.py",
         "backend/features/accounts/application.py",
         "backend/jobs/service.py",
+        "backend/jobs/refresh.py",
         "database.py",
         "backend/features/screener/engine.py",
         "backend/features/screener/catalog.py",
@@ -217,10 +218,10 @@ def build() -> dict[str, Any]:
         ),
         "external_data_adapters": [
             {"provider": "tushare", "path": "backend/data/providers/tushare_client.py", "runtime_role": "stable client facade for primary deterministic market data"},
-            {"provider": "ifind", "path": "backend/data/providers/ifind_client.py", "runtime_role": "realtime, charts, snapshots, enrichment"},
-            {"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"},
-            {"provider": "tencent", "path": "backend/data/realtime.py", "runtime_role": "index observation fallback"},
+            {"provider": "datahub", "path": "backend/data/datahub/client.py", "runtime_role": "website-only read path; official EOD, live quotes, and licensed iFinD"},
+            {"provider": "ifind", "path": "xiaobai-datahub/datahub/adapters/ifind.py", "runtime_role": "licensed iFinD source inside the data hub"},
+            {"provider": "eastmoney", "path": "xiaobai-datahub/datahub/adapters/eastmoney.py", "runtime_role": "free realtime quotes and shenwan inside the data hub"},
+            {"provider": "tencent", "path": "xiaobai-datahub/datahub/adapters/tencent.py", "runtime_role": "free index and stock quotes inside the data hub"},
         ],
         "provider_domains": [
             {"provider": "tushare", "path": "backend/data/providers/tushare_transport.py", "responsibility": "HTTP transport and provider errors"},
@@ -235,9 +236,12 @@ def build() -> dict[str, Any]:
         ],
         "provider_construction": [
             {"client": "TushareClient", "owner": "backend/data/providers/tushare.py", "compatibility_fallback": "backend/features/market/service.py"},
-            {"client": "IfindHttpClient", "owner": "backend/data/gateway.py"},
+            {"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": {
             "facade": "backend/features/heaven/service.py",
@@ -261,6 +265,7 @@ def build() -> dict[str, Any]:
             "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": [

tools/update_from_main.sh

@@ -33,16 +33,37 @@ $DIRTY"
 LOCAL_HEAD="$(g rev-parse HEAD)"
 REMOTE_HEAD="$(g rev-parse origin/main)"
 if [ "$LOCAL_HEAD" != "$REMOTE_HEAD" ]; then
-  TOP_AD="$(g diff --name-status HEAD origin/main | grep -E "^[AD][[:space:]]+[^/]+$" || true)"
+  g merge-base --is-ancestor "$LOCAL_HEAD" "$REMOTE_HEAD" \
+    || refuse "本地 main 与 origin/main 历史分叉，停止（未改写工作目录）"
+  CHANGES="$(g diff --no-renames --name-status HEAD origin/main)"
+  TOP_AD="$(printf '%s\n' "$CHANGES" | grep -E "^[AD][[:space:]]+[^/]+$" || true)"
   [ -z "$TOP_AD" ] || refuse "main 相比本地新增/删除了顶层文件，目录顶层归 root，需管理员执行：
 $TOP_AD"
-  TOP_MOD="$(g diff --name-status HEAD origin/main | grep -E "^M[[:space:]]+[^/]+$" | awk '{print $2}' || true)"
-  if [ -n "$TOP_MOD" ]; then
-    echo "==> 预写入顶层改动文件（顶层目录无删除权限，改为截断写入）"
-    while IFS= read -r f; do g show "origin/main:$f" > "$WORK_TREE/$f"; done <<< "$TOP_MOD"
-  fi
-  echo "==> 快进合并到 origin/main"
-  g merge --ff-only origin/main >/dev/null 2>&1 || refuse "无法快进合并 origin/main（历史分叉），停止"
+  echo "==> 同步 origin/main 文件（顶层文件保留原 inode，避免目录权限限制）"
+  while IFS=$'\t' read -r status path; do
+    [ -n "$path" ] || continue
+    case "$status" in
+      D)
+        case "$path" in
+          */*) rm -f -- "$WORK_TREE/$path" ;;
+          *) refuse "main 删除了顶层文件 $path，需管理员处理" ;;
+        esac
+        ;;
+      A|M)
+        MODE_BITS="$(g ls-tree origin/main -- "$path" | awk '{print $1}')"
+        case "$MODE_BITS" in
+          100644|100755) ;;
+          *) refuse "文件 ${path} 的 Git 类型 ${MODE_BITS} 不支持自动同步，需管理员处理" ;;
+        esac
+        mkdir -p -- "$(dirname "$WORK_TREE/$path")"
+        g show "origin/main:$path" > "$WORK_TREE/$path"
+        [ "$MODE_BITS" = "100755" ] && chmod 755 "$WORK_TREE/$path" || chmod 644 "$WORK_TREE/$path"
+        ;;
+      *) refuse "遇到未支持的 Git 变更类型 ${status}：${path}" ;;
+    esac
+  done <<< "$CHANGES"
+  g read-tree origin/main
+  g update-ref refs/heads/main "$REMOTE_HEAD" "$LOCAL_HEAD"
   DIRTY="$(g status --porcelain)"
   [ -z "$DIRTY" ] || refuse "快进后工作区仍不一致，停止：
 $DIRTY"
@@ -54,6 +75,8 @@ echo "==> 校验通过：本地 HEAD = origin/main = ${LOCAL_HEAD}（${SHORT}）
 
 if [ "$MODE" = "verify-tag" ]; then
   TAG="${2:?用法: update-from-main.sh verify-tag <tag>}"
+  [ "$TAG" = "main-${SHORT}" ] \
+    || refuse "镜像标签必须是当前 main 对应的 main-${SHORT}，收到：${TAG}"
   LABEL="$(docker image inspect "${IMAGE_REPO}:${TAG}" \
     --format '{{index .Config.Labels "org.opencontainers.image.revision"}}' 2>/dev/null)" \
     || refuse "镜像 ${IMAGE_REPO}:${TAG} 不存在"

xiaobai-datahub/.dockerignore

@@ -0,0 +1,10 @@
+.git
+.gitignore
+.env
+.env.*
+!.env.example
+__pycache__/
+*.py[cod]
+*.log
+data/
+tests/

xiaobai-datahub/.env.example

@@ -0,0 +1,17 @@
+# Fernet key. Generate with: python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
+DATAHUB_ENCRYPTION_KEY=
+
+# Consumer API token for /v1 (32+ random bytes, shown once). Never log this value.
+DATAHUB_TOKEN=
+
+# Initial admin password for /admin. Forced change on first login.
+DATAHUB_ADMIN_PASSWORD=
+
+# Tushare Pro token. Stored encrypted after first launch; never returned by API or admin pages.
+TUSHARE_TOKEN=
+
+# Optional licensed iFinD tokens. Used only inside the hub; the website never dials 51ifind.com.
+IFIND_REFRESH_TOKEN=
+IFIND_ACCESS_TOKEN=
+
+TZ=Asia/Shanghai

xiaobai-datahub/Dockerfile

@@ -0,0 +1,36 @@
+FROM python:3.12-slim-bookworm
+
+ARG APP_UID=10002
+ARG APP_GID=10002
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    PYTHONUTF8=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    TZ=Asia/Shanghai
+
+WORKDIR /app
+
+RUN apt-get update \
+    && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
+        ca-certificates \
+        tzdata \
+    && groupadd --gid "${APP_GID}" datahub \
+    && useradd --uid "${APP_UID}" --gid "${APP_GID}" --create-home --shell /usr/sbin/nologin datahub \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt ./
+RUN python -m pip install --no-cache-dir -r requirements.txt
+
+COPY --chown=datahub:datahub . .
+RUN mkdir -p /app/data /app/data/backups && chown -R datahub:datahub /app/data
+
+USER datahub
+
+EXPOSE 8766
+STOPSIGNAL SIGINT
+
+HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
+    CMD ["python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8766/livez', timeout=4).read()"]
+
+CMD ["python", "-u", "server.py", "--host", "0.0.0.0", "--port", "8766"]

xiaobai-datahub/README.md

@@ -0,0 +1,152 @@
+# xiaobai-datahub
+
+独立行情数据中枢（HEL-382 / P0）。与 `xiaobai-review` 同仓库、不同容器、不共享数据库文件。
+本阶段不部署现网；只提供可本地运行、可自测的底座和盘后正式数据链路。
+
+## 做什么
+
+- SQLite WAL `datahub.db`，容器名 `xiaobai-datahub`，端口 `8766`
+- Tushare 盘后正式数据：交易日历、股票主档、daily、daily_basic、adj_factor、index_daily、moneyflow、stk_auction、limit_list_d、ths_hot/dc_hot、hm_detail、ths_daily/dc_index/sw_daily
+- 盘中观察（provisional）：东财/腾讯指数报价、个股最新价、全市场快照、分时点（`/v1/quotes/latest` 不传 codes 即全市场，`/v1/indexes/quotes` `/v1/intraday/points`）；永不写入 eod_* 正式表
+- 暂存 → 校验 → 整批原子发布 → 可回滚
+- `/v1` 稳定接口（`X-Datahub-Token`）
+- `/admin/` 最小管理后台（总览 / 数据源 / 调度 / 发布 / 数据集 / 审计）
+- 同花顺/选股宝/AKShare/iFinD 适配器位仍预留；东财/腾讯已接入盘中观察
+
+## 单位口径（相对现站）
+
+现站 `xiaobai-review` 按 Tushare 原始单位入库、展示时再换算。中枢在归一化层一次换算：
+
+| 字段 | Tushare / 现站 | 中枢 canonical |
+|---|---|---|
+| `daily.amount` / `index_daily.amount` | 千元 | 元（×1000） |
+| `daily.vol` / `index_daily.vol` | 手 | 股（×100） |
+| `moneyflow.*_amount` | 万元 | 元（×1e4） |
+| `daily_basic.total_mv` / `circ_mv` | 万元 | 元（×1e4） |
+| `stk_auction.amount` | 元 | 元 |
+
+差异为口径升级，golden 测试按上表对照，不为 0 的字段都有说明。
+
+## 本地启动（不走 Docker）
+
+```bash
+cd xiaobai-datahub
+python -m venv .venv && .venv/bin/pip install -r requirements.txt
+cp .env.example .env
+# 填入 DATAHUB_ENCRYPTION_KEY / DATAHUB_TOKEN / DATAHUB_ADMIN_PASSWORD / TUSHARE_TOKEN
+# 生成 Fernet 密钥：
+# python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
+.venv/bin/python server.py --host 127.0.0.1 --port 8766
+```
+
+- 管理后台：http://127.0.0.1:8766/admin/
+- 存活检查：http://127.0.0.1:8766/livez （无需 token）
+- `/v1/*` 必须带请求头 `X-Datahub-Token`
+
+## Docker（独立 compose，不改现网 review 服务）
+
+```bash
+cd xiaobai-datahub
+cp .env.example .env   # 填密钥
+mkdir -p data
+docker compose build
+docker compose up -d
+```
+
+仓库根目录另有 `compose.datahub.yaml`，供总工以后与现有 `compose.yaml` 叠加部署，本卡不执行现网 `up`。
+
+## 自测
+
+```bash
+cd xiaobai-datahub
+python -m unittest discover -s tests -v
+```
+
+不调用真实 Tushare；用内存/临时库和假适配器。
+
+## 历史回补
+
+交易日历默认从 `20160101` 拉到今天后 30 天；盘前 `precheck` 与手动回补都走同一 UPSERT，可重复执行。
+
+网站实际使用的指数（上证、深成、创业板、沪深300）按交易日增量发布，默认覆盖 260 个交易日（大于现有 90 天窗口，并覆盖智能选股基准回看）。已发布日期默认跳过。
+
+```bash
+cd xiaobai-datahub
+python -m datahub history-backfill
+# 可选：--calendar-start 20160101 --index-days 260 --force
+```
+
+管理后台也可手动跑 `history_backfill` 任务，或 `POST /admin/api/backfill` 且 `dataset=history`、确认词 `history:full`。
+
+区间接口在 `meta.coverage` / `meta.incomplete` 标明覆盖是否完整；网站只读接入把不完整区间视为不可用并回旧链路。个股日 K 的 90 天区间查询依赖已核实，本阶段不回补全市场历史。
+
+## 估值字段级质量门
+
+`hub-quality.config.json` 的 `field_gates` 按数据集配置关键字段：非空率下限（支持按字段覆盖，如 `dv_ttm` 合法高空值）、非有限值比例上限、以及相对上一已发布批次的非空率塌陷保护。字段大面积为空的批次会被拒绝发布、保留上一份正常正式数据，失败原因逐字段写入 `batches.error` / `quality_json`。被拒后数据集仍视为缺失，盘后自动重试（HEL-435 机制）会继续尝试直到成功或截止。配置对任意数据集生效，不写死单日或单字段。
+
+## 整批原子发布（release group）
+
+盘后发布/重发（eod_a、eod_retry、`eod-refresh`、跨数据集重发）不再逐数据集各自切换，而是走整批原子可见机制：
+
+- 一致性边界：日 K、估值、资金流、竞价同属 A 组整批；指数日 K 为 B 组；当日股票主档快照随 A 组一同切换（主档 `stock_master` 的 UPSERT 与快照发布同一事务，不会出现主档先行/滞后）。
+- 流程：组内全部成员先在暂存表完成拉取、字段质量门、覆盖检查和跨数据集交叉校验（`cross_gates` 配置 ts_code 覆盖重叠率下限），全部达标后才在**一个 SQLite 事务**里复制正式表并翻转全部 `publications` 指针。
+- 任一成员失败（拉取失败、质量门拒绝、交叉校验不过、切换事务中断）→ 整批不切换，对外继续提供上一份完整正式版本，失败原因写入 `batches.error` 与 `audit_log`（`action=release-group`），等待晚间自动重试。
+- 读取侧任何时刻只会看到"旧完整版本"或"新完整版本"：发布指针在单事务内统一翻转，容器重启/事务中断自动回滚，不暴露字段残缺或跨数据集混合版本。
+- 幂等：仅当一致性边界内全部成员都已发布时才整组跳过；边界内任有缺失则整组重暂存后统一切换，避免旧批次与新批次混在同一次重发中。重复执行、并发重试不会在完整边界已就绪时生成重复批次（调度器另有 EOD 互斥锁）。
+
+## 股票主档每日刷新与发布
+
+交易日 20:00 与 23:10（`stocks_refresh_times` 可配）自动刷新股票主档并发布版本化快照（`eod_stocks` + `publications.dataset='stocks'`），覆盖当日新上市、证券简称变化和上市首日 N/C 前缀摘除；无变化则跳过，重复执行幂等。`/v1/stocks` 从最新已发布快照提供数据并带 `batch_id` / `published_at`；`/v1/datasets/status` 同步展示 stocks 状态。
+
+```bash
+cd xiaobai-datahub
+python -m datahub stocks-refresh            # 手动触发；--force 无变化也重发
+```
+
+## 资金流历史回补
+
+网站会沿真实调用链查最近若干交易日的 moneyflow（个股详情任意日期点查 + 智能选股最近 5 个交易日），默认回补最近 60 个交易日（`moneyflow_history_trading_days` 可配，已发布日期自动跳过）。点查未覆盖的历史日期返回 `DATASET_NOT_PUBLISHED` 并附 `available_from` / `available_to`（低于下界时 `reason=history_not_backfilled`），网站据此明确回退旧链路，不会静默拿到半截数据。
+
+```bash
+cd xiaobai-datahub
+python -m datahub moneyflow-backfill        # --trading-days 60 --end-date --force 可选
+```
+
+## 盘后补跑与强制重发
+
+```bash
+cd xiaobai-datahub
+python -m datahub eod-refresh --trade-date 20260904                  # 补不完整的 A/B 边界
+python -m datahub eod-refresh --trade-date 20260904 --force --dataset valuation
+# --force 按一致性边界整组重发：valuation/daily/moneyflow/auction/stocks → A 组；
+# index_daily → B 组。不可再单独切换某一个正式数据集。
+```
+
+管理后台「补数」对盘后正式数据集同样走 `force_republish_boundary`，不会绕过 A/B 整批边界。
+
+## 估值发布后复核与自动追补
+
+Tushare `daily_basic` 会在盘后继续改当日字段。HEL-423 在 2026-09-07 观察到：中枢 17:10 发布 `003021.SZ turnover_rate=1.3565`，21:05 上游/旧链路已是 `1.3572`；其余 7 类观察对象当日一致。日 K、资金流、竞价、指数没有同类晚间修订证据，股票主档已有 20:00/23:10 刷新，因此默认只复核估值，不盲目全量重拉。
+
+窗口（可配）：交易日 **20:00–23:20**，每 30 分钟一次轻量比对（对齐网站 21:00 / 23:30 观察）。只拉取 `daily_basic`，按网站真实请求字段精确比较，无误差豁免。
+
+- 无变化：不产生新批次，状态「已追平」。
+- 发现修订：重新走字段质量门、覆盖检查和 A 组整批原子发布；读者全程只能看到上一完整版本或新完整版本。
+- 上游空 / 接口失败 / 不完整 / 质量门拒绝：保留上一完整版本，状态「复核失败」。
+- 23:20 截止后停止当晚复核；下一自然日盘前对上一交易日再做一次安全追赶。
+- 与 `eod_a` / `eod_retry` 共用互斥锁；容器重启会在窗口内立即补一次。
+
+## 备份
+
+每日 00:40 任务把 `datahub.db` 备份到 `data/backups/`（保留 14 份）。也可手动：
+
+```bash
+python -c "from pathlib import Path; from datahub.db import HubDB; HubDB(Path('data/datahub.db')).backup_to(Path('data/backups/manual.db'))"
+```
+
+## 安全
+
+- 密钥只以 `configured / 末4位 / 更新时间` 出现在后台，不进日志、不进 `/v1`
+- HTTP 解析失败只记录“请求不是合法 JSON”，不把请求正文、密码或 Token 写入容器日志
+- 回滚、补数需重新输入密码 + 确认词
+- 容器非 root（uid 10002）、read_only、cap_drop ALL

xiaobai-datahub/admin/app.js

@@ -0,0 +1,299 @@
+const state = { csrf: "", page: "overview" };
+
+function $(id) { return document.getElementById(id); }
+
+async function api(path, options = {}) {
+  const headers = Object.assign({ "Content-Type": "application/json" }, options.headers || {});
+  if (state.csrf && (options.method || "GET") !== "GET") headers["X-CSRF-Token"] = state.csrf;
+  const res = await fetch(path, Object.assign({}, options, { headers, credentials: "same-origin" }));
+  const body = await res.json();
+  if (!res.ok) {
+    const msg = (body.error && body.error.message) || body.error || res.statusText;
+    throw new Error(msg);
+  }
+  return body;
+}
+
+function show(id) {
+  ["login-view", "change-view", "shell"].forEach((key) => { $(key).hidden = key !== id; });
+}
+
+function esc(value) {
+  return String(value ?? "").replace(/[&<>"]/g, (ch) => ({ "&": "&amp;", "<": "&lt;", ">": "&gt;", '"': "&quot;" }[ch]));
+}
+
+function table(headers, rows) {
+  const thead = headers.map((h) => `<th>${esc(h)}</th>`).join("");
+  const body = rows.length
+    ? rows.map((cols) => `<tr>${cols.map((c) => `<td>${c}</td>`).join("")}</tr>`).join("")
+    : `<tr><td colspan="${headers.length}">暂无数据</td></tr>`;
+  return `<table><thead><tr>${thead}</tr></thead><tbody>${body}</tbody></table>`;
+}
+
+async function boot() {
+  try {
+    const session = await api("/admin/api/session");
+    state.csrf = session.csrf;
+    $("who").textContent = session.username;
+    if (session.must_change) { show("change-view"); return; }
+    show("shell");
+    await render();
+  } catch {
+    show("login-view");
+  }
+}
+
+$("login-form").addEventListener("submit", async (event) => {
+  event.preventDefault();
+  const form = new FormData(event.target);
+  $("login-error").hidden = true;
+  try {
+    const result = await api("/admin/api/login", {
+      method: "POST",
+      body: JSON.stringify({ username: form.get("username"), password: form.get("password") }),
+    });
+    state.csrf = result.csrf;
+    if (result.must_change) show("change-view");
+    else { show("shell"); await render(); }
+  } catch (err) {
+    $("login-error").hidden = false;
+    $("login-error").textContent = err.message;
+  }
+});
+
+$("change-form").addEventListener("submit", async (event) => {
+  event.preventDefault();
+  const form = new FormData(event.target);
+  try {
+    await api("/admin/api/change-password", {
+      method: "POST",
+      body: JSON.stringify({ current: form.get("current"), new_password: form.get("new_password") }),
+    });
+    show("shell");
+    await render();
+  } catch (err) {
+    $("change-error").hidden = false;
+    $("change-error").textContent = err.message;
+  }
+});
+
+$("logout-btn").addEventListener("click", async () => {
+  await api("/admin/api/logout", { method: "POST", body: "{}" });
+  show("login-view");
+});
+
+$("theme-btn").addEventListener("click", () => {
+  const root = document.documentElement;
+  const next = root.getAttribute("data-theme") === "night" ? "" : "night";
+  if (next) root.setAttribute("data-theme", next);
+  else root.removeAttribute("data-theme");
+  $("theme-btn").textContent = next ? "日间" : "夜间";
+});
+
+document.querySelectorAll("nav button").forEach((btn) => {
+  btn.addEventListener("click", () => {
+    document.querySelectorAll("nav button").forEach((item) => item.classList.remove("active"));
+    btn.classList.add("active");
+    state.page = btn.dataset.page;
+    render();
+  });
+});
+
+async function render() {
+  const page = $("page");
+  if (state.page === "overview") {
+    const data = await api("/admin/api/overview");
+    $("phase").textContent = data.session_phase;
+    const eod = data.eod_status || {};
+    const rev = data.revision_status || {};
+    const eodLabels = {
+      pending_first_attempt: "等待首次尝试",
+      waiting_upstream: "等待上游",
+      done: "已成功",
+      cutoff_failed: "已截止失败",
+      closed_day: "休市",
+    };
+    const revLabels = {
+      waiting_review: "等待复核",
+      review_failed: "复核失败",
+      aligned: "已追平",
+      cutoff: "已截止",
+      pending_publish: "待发布",
+      closed_day: "休市",
+    };
+    const eodExtra = [];
+    if (eod.state === "waiting_upstream") {
+      eodExtra.push(`已试 ${eod.attempts} 次`);
+      if (eod.next_retry_at) eodExtra.push(`下次重试 ${esc(String(eod.next_retry_at).replace("T", " ").slice(11, 16))}`);
+      if (eod.missing_datasets && eod.missing_datasets.length) eodExtra.push(`缺 ${esc(eod.missing_datasets.join(","))}`);
+    }
+    if (eod.state === "cutoff_failed" && eod.missing_datasets) {
+      eodExtra.push(`缺 ${esc(eod.missing_datasets.join(","))}`);
+    }
+    const revExtra = [];
+    if (rev.detail) revExtra.push(esc(String(rev.detail)));
+    if (rev.window) revExtra.push(esc(String(rev.window)));
+    page.innerHTML = `
+      <div class="cards">
+        <div class="card"><div class="muted">交易日</div><strong>${esc(data.trade_date)}</strong></div>
+        <div class="card"><div class="muted">阶段</div><strong>${esc(data.session_phase)}</strong></div>
+        <div class="card"><div class="muted">今日发布</div><strong>${data.publications.length}</strong></div>
+        <div class="card"><div class="muted">盘后补跑</div><strong>${esc(eodLabels[eod.state] || eod.state || "-")}</strong><div class="muted">${eodExtra.join(" · ")}</div></div>
+        <div class="card"><div class="muted">估值复核</div><strong>${esc(revLabels[rev.state] || rev.state || "-")}</strong><div class="muted">${revExtra.join(" · ")}</div></div>
+        <div class="card"><div class="muted">异常批次</div><strong class="${data.anomalies.length ? "fail" : "ok"}">${data.anomalies.length}</strong></div>
+      </div>
+      <h2>最近调用</h2>
+      ${table(["时间", "源", "端点", "结果", "耗时"], data.recent_calls.map((row) => [
+        esc(row.created_at), esc(row.provider), esc(row.endpoint),
+        row.ok ? '<span class="ok">成功</span>' : `<span class="fail">${esc(row.error)}</span>`,
+        `${row.latency_ms ?? "-"} ms`,
+      ]))}
+    `;
+    return;
+  }
+  if (state.page === "sources") {
+    const data = await api("/admin/api/sources");
+    page.innerHTML = `<h2>数据源</h2>` + table(
+      ["源", "角色", "状态", "凭据", "操作"],
+      data.items.map((item) => {
+        const cred = item.credential || {};
+        const credText = cred.configured ? `已配置 · ${esc(cred.last4 || "****")}` : "未配置";
+        return [
+          esc(item.provider),
+          esc(item.role),
+          esc((item.health && (item.health.state || item.health.status)) || "-"),
+          credText,
+          `<button data-probe="${esc(item.provider)}">探测一次</button>`,
+        ];
+      }),
+    );
+    page.querySelectorAll("[data-probe]").forEach((btn) => {
+      btn.addEventListener("click", async () => {
+        const result = await api(`/admin/api/sources/${btn.dataset.probe}/probe`, { method: "POST", body: "{}" });
+        alert(JSON.stringify(result));
+        render();
+      });
+    });
+    return;
+  }
+  if (state.page === "jobs") {
+    const data = await api("/admin/api/jobs");
+    page.innerHTML = `
+      <h2>调度任务</h2>
+      ${table(["任务", "时刻", "操作"], data.jobs.map((job) => [
+        `${esc(job.id)} · ${esc(job.title)}`, esc(job.at),
+        `<button data-run="${esc(job.id)}">手动触发</button>`,
+      ]))}
+      <h3>最近运行</h3>
+      ${table(["ID", "任务", "状态", "开始", "结束", "错误"], data.runs.map((row) => [
+        row.id, esc(row.job_id), esc(row.state), esc(row.started_at), esc(row.finished_at), esc(row.error),
+      ]))}
+    `;
+    page.querySelectorAll("[data-run]").forEach((btn) => {
+      btn.addEventListener("click", async () => {
+        const date = prompt("交易日 YYYYMMDD（可留空=今天）", "") || "";
+        await api(`/admin/api/jobs/${btn.dataset.run}/run`, { method: "POST", body: JSON.stringify({ trade_date: date }) });
+        render();
+      });
+    });
+    return;
+  }
+  if (state.page === "release") {
+    const date = new Date().toISOString().slice(0, 10).replace(/-/g, "");
+    const data = await api(`/admin/api/batches?date=${date}`);
+    page.innerHTML = `
+      <h2>盘后发布 ${esc(data.trade_date)}</h2>
+      <div class="toolbar">
+        <label>日期 <input id="rel-date" value="${esc(data.trade_date)}" /></label>
+        <button type="button" id="rel-load">查看</button>
+        <button type="button" id="rel-backfill">补数</button>
+      </div>
+      <h3>当前映射</h3>
+      ${table(["数据集", "活跃批次", "上一批次", "状态", "发布时间", "操作"], data.publications.map((row) => [
+        esc(row.dataset), esc(row.active_batch), esc(row.prev_batch), esc(row.state), esc(row.published_at),
+        row.prev_batch ? `<button class="danger" data-rollback="${esc(row.dataset)}">回滚</button>` : "-",
+      ]))}
+      <h3>批次</h3>
+      ${table(["batch_id", "数据集", "状态", "行数", "错误"], data.batches.map((row) => [
+        esc(row.batch_id), esc(row.dataset), esc(row.state), row.rows_out ?? "", esc(row.error),
+      ]))}
+    `;
+    $bindRelease(page);
+    return;
+  }
+  if (state.page === "datasets") {
+    const data = await api("/admin/api/datasets?date=");
+    page.innerHTML = `
+      <h2>数据集 / 质量 ${esc(data.trade_date)}</h2>
+      ${table(["数据集", "批次", "状态", "发布时间"], data.publications.map((row) => [
+        esc(row.dataset), esc(row.active_batch), esc(row.state), esc(row.published_at),
+      ]))}
+      <h3>源间差异</h3>
+      ${table(["指标", "左", "右", "偏差", "样本"], data.diff_reports.map((row) => [
+        esc(row.metric), esc(row.left_value), esc(row.right_value), esc(row.deviation), row.sample_count ?? "",
+      ]))}
+    `;
+    return;
+  }
+  if (state.page === "audit") {
+    const data = await api("/admin/api/audit");
+    page.innerHTML = `<h2>审计</h2>` + table(
+      ["时间", "操作者", "动作", "对象", "详情"],
+      data.items.map((row) => [esc(row.created_at), esc(row.actor), esc(row.action), esc(row.target), esc(row.detail)]),
+    );
+  }
+}
+
+function $bindRelease(page) {
+  page.querySelector("#rel-load").addEventListener("click", async () => {
+    const date = page.querySelector("#rel-date").value;
+    const data = await api(`/admin/api/batches?date=${encodeURIComponent(date)}`);
+    state.page = "release";
+    // re-render with fetched date by writing location hash
+    history.replaceState(null, "", `#release-${date}`);
+    $("page").innerHTML = renderRelease(data);
+    $bindRelease($("page"));
+  });
+  page.querySelector("#rel-backfill").addEventListener("click", () => dangerous("backfill"));
+  page.querySelectorAll("[data-rollback]").forEach((btn) => {
+    btn.addEventListener("click", () => dangerous("rollback", btn.dataset.rollback));
+  });
+}
+
+function renderRelease(data) {
+  return `
+    <h2>盘后发布 ${esc(data.trade_date)}</h2>
+    <div class="toolbar">
+      <label>日期 <input id="rel-date" value="${esc(data.trade_date)}" /></label>
+      <button type="button" id="rel-load">查看</button>
+      <button type="button" id="rel-backfill">补数</button>
+    </div>
+    <h3>当前映射</h3>
+    ${table(["数据集", "活跃批次", "上一批次", "状态", "发布时间", "操作"], data.publications.map((row) => [
+      esc(row.dataset), esc(row.active_batch), esc(row.prev_batch), esc(row.state), esc(row.published_at),
+      row.prev_batch ? `<button class="danger" data-rollback="${esc(row.dataset)}">回滚</button>` : "-",
+    ]))}
+    <h3>批次</h3>
+    ${table(["batch_id", "数据集", "状态", "行数", "错误"], data.batches.map((row) => [
+      esc(row.batch_id), esc(row.dataset), esc(row.state), row.rows_out ?? "", esc(row.error),
+    ]))}
+  `;
+}
+
+async function dangerous(kind, dataset) {
+  const date = ($("rel-date") && $("rel-date").value) || "";
+  const ds = dataset || prompt("数据集（daily/valuation/moneyflow/auction/stocks→A组整批；index_daily→B组；或 reference）", "daily");
+  if (!ds) return;
+  const password = prompt("二次确认：输入管理密码");
+  if (!password) return;
+  const confirmWord = `${ds}:${date}`;
+  const typed = prompt(`请输入确认词：${confirmWord}`);
+  const path = kind === "rollback" ? "/admin/api/rollback" : "/admin/api/backfill";
+  await api(path, {
+    method: "POST",
+    body: JSON.stringify({ dataset: ds, trade_date: date, password, confirm: typed }),
+  });
+  render();
+}
+
+boot();

xiaobai-datahub/admin/index.html

@@ -0,0 +1,53 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1" />
+  <title>xiaobai-datahub 管理后台</title>
+  <link rel="stylesheet" href="/admin/styles.css" />
+</head>
+<body>
+  <div id="app">
+    <section id="login-view" class="panel auth-panel">
+      <h1>数据中枢</h1>
+      <p class="muted">内网管理后台，用于查看源状态、调度和盘后发布批次。</p>
+      <form id="login-form">
+        <label>账号 <input name="username" value="hub_admin" autocomplete="username" /></label>
+        <label>密码 <input name="password" type="password" autocomplete="current-password" /></label>
+        <button type="submit">登录</button>
+        <p id="login-error" class="error" hidden></p>
+      </form>
+    </section>
+
+    <section id="change-view" class="panel auth-panel" hidden>
+      <h1>修改初始密码</h1>
+      <form id="change-form">
+        <label>当前密码 <input name="current" type="password" /></label>
+        <label>新密码（至少 8 位） <input name="new_password" type="password" /></label>
+        <button type="submit">保存并继续</button>
+        <p id="change-error" class="error" hidden></p>
+      </form>
+    </section>
+
+    <section id="shell" hidden>
+      <header class="top">
+        <strong>xiaobai-datahub</strong>
+        <span id="phase" class="pill"></span>
+        <span id="who" class="muted"></span>
+        <button type="button" id="theme-btn" class="ghost">夜间</button>
+        <button type="button" id="logout-btn" class="ghost">退出</button>
+      </header>
+      <nav>
+        <button data-page="overview" class="active">总览</button>
+        <button data-page="sources">数据源</button>
+        <button data-page="jobs">调度任务</button>
+        <button data-page="release">盘后发布</button>
+        <button data-page="datasets">数据集</button>
+        <button data-page="audit">审计</button>
+      </nav>
+      <main id="page"></main>
+    </section>
+  </div>
+  <script src="/admin/app.js"></script>
+</body>
+</html>

xiaobai-datahub/admin/styles.css

@@ -0,0 +1,51 @@
+:root {
+  color-scheme: light;
+  --bg: #f4f5f7;
+  --surface: #ffffff;
+  --text: #1f2329;
+  --muted: #646a73;
+  --line: #dee0e3;
+  --action: #3370ff;
+  --danger: #e04536;
+  --ok: #16a34a;
+  --warn: #b45309;
+  --radius: 8px;
+  --pad: 16px;
+  font-family: "Segoe UI", "PingFang SC", "Noto Sans SC", sans-serif;
+}
+:root[data-theme="night"] {
+  color-scheme: dark;
+  --bg: #111318;
+  --surface: #1b1e24;
+  --text: #e8eaed;
+  --muted: #9aa0a6;
+  --line: #2a2f38;
+  --action: #5b8cff;
+}
+* { box-sizing: border-box; }
+body { margin: 0; background: var(--bg); color: var(--text); }
+.panel, header.top, nav, main { background: var(--surface); }
+.auth-panel { max-width: 420px; margin: 12vh auto; padding: 28px; border-radius: var(--radius); border: 1px solid var(--line); }
+label { display: block; margin: 12px 0; }
+input, select { width: 100%; padding: 8px 10px; border: 1px solid var(--line); border-radius: 4px; background: var(--bg); color: var(--text); }
+button { background: var(--action); color: #fff; border: 0; border-radius: 4px; padding: 8px 14px; cursor: pointer; }
+button.ghost { background: transparent; color: var(--text); border: 1px solid var(--line); }
+button.danger { background: var(--danger); }
+.muted { color: var(--muted); }
+.error { color: var(--danger); }
+.top { display: flex; gap: 12px; align-items: center; padding: 10px var(--pad); border-bottom: 1px solid var(--line); }
+nav { display: flex; gap: 4px; padding: 8px var(--pad); border-bottom: 1px solid var(--line); }
+nav button { background: transparent; color: var(--muted); }
+nav button.active { color: var(--action); background: transparent; font-weight: 600; }
+main { padding: var(--pad); min-height: calc(100vh - 96px); }
+.cards { display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 12px; margin-bottom: 16px; }
+.card { border: 1px solid var(--line); border-radius: var(--radius); padding: 12px; }
+table { width: 100%; border-collapse: collapse; font-size: 13px; }
+th, td { text-align: left; padding: 8px; border-bottom: 1px solid var(--line); vertical-align: top; }
+.pill { font-size: 12px; padding: 2px 8px; border-radius: 999px; border: 1px solid var(--line); }
+.ok { color: var(--ok); }
+.warn { color: var(--warn); }
+.fail { color: var(--danger); }
+.toolbar { display: flex; gap: 8px; flex-wrap: wrap; margin: 12px 0; align-items: end; }
+.toolbar label { margin: 0; }
+dialog { border: 1px solid var(--line); border-radius: var(--radius); background: var(--surface); color: var(--text); padding: 20px; }

xiaobai-datahub/compose.yaml

@@ -0,0 +1,41 @@
+services:
+  xiaobai-datahub:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    image: xiaobai-datahub:local
+    container_name: xiaobai-datahub
+    ports:
+      - "0.0.0.0:8766:8766/tcp"
+    env_file:
+      - ./.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: ./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"

xiaobai-datahub/config/hub-quality.config.json

@@ -0,0 +1,63 @@
+{
+  "daily_row_ratio": 0.98,
+  "null_rate_max": 0.01,
+  "cross_check_price_deviation": 0.03,
+  "cross_check_outlier_ratio": 0.05,
+  "index_price_deviation": 0.005,
+  "max_publish_attempts": 5,
+  "staging_retain_days": 14,
+  "job_run_retain_days": 90,
+  "backup_retain": 14,
+  "publication_generations": 3,
+  "tushare_rate_per_minute": 300,
+  "list_limit_default": 5000,
+  "list_limit_max": 5000,
+  "calendar_start": "20160101",
+  "index_history_trading_days": 260,
+  "daily_history_trading_days": 250,
+  "eod_retry_start": "15:15",
+  "eod_retry_interval_minutes": 30,
+  "eod_retry_cutoff": "23:30",
+  "revision_review_datasets": ["valuation"],
+  "revision_review_start": "20:00",
+  "revision_review_interval_minutes": 30,
+  "revision_review_cutoff": "23:20",
+  "moneyflow_history_trading_days": 60,
+  "stocks_refresh_times": [
+    "20:00",
+    "23:10"
+  ],
+  "cross_gates": [
+    {
+      "left": "daily",
+      "right": "valuation",
+      "min_key_overlap": 0.98
+    },
+    {
+      "left": "daily",
+      "right": "moneyflow",
+      "min_key_overlap": 0.98
+    }
+  ],
+  "field_gates": {
+    "valuation": {
+      "fields": [
+        "turnover_rate",
+        "volume_ratio",
+        "total_mv",
+        "circ_mv",
+        "pe_ttm",
+        "pb",
+        "ps_ttm",
+        "dv_ttm"
+      ],
+      "min_nonnull_rate": 0.9,
+      "min_nonnull_rate_by_field": {
+        "pe_ttm": 0.5,
+        "dv_ttm": 0.3
+      },
+      "max_nonnull_drop_vs_prev": 0.15,
+      "max_nonfinite_rate": 0.01
+    }
+  }
+}

xiaobai-datahub/datahub/__init__.py

@@ -0,0 +1,4 @@
+"""xiaobai-datahub: independent market-data service for xiaobai-review."""
+
+__version__ = "0.1.0"
+SCHEMA_VERSION = 1

xiaobai-datahub/datahub/__main__.py

@@ -0,0 +1,4 @@
+from datahub.cli import main
+
+if __name__ == "__main__":
+    raise SystemExit(main())

xiaobai-datahub/datahub/adapters/__init__.py

@@ -0,0 +1,15 @@
+from datahub.adapters.akshare import ADAPTER as akshare
+from datahub.adapters.eastmoney import EastmoneyAdapter
+from datahub.adapters.ifind import ADAPTER as ifind
+from datahub.adapters.tencent import TencentAdapter
+from datahub.adapters.ths import ADAPTER as ths
+from datahub.adapters.xgb import ADAPTER as xgb
+
+RESERVED = {
+    "eastmoney": EastmoneyAdapter(),
+    "tencent": TencentAdapter(),
+    "ths": ths,
+    "xgb": xgb,
+    "akshare": akshare,
+    "ifind": ifind,
+}

xiaobai-datahub/datahub/adapters/akshare.py

@@ -0,0 +1,3 @@
+from datahub.adapters.base import ReservedAdapter
+
+ADAPTER = ReservedAdapter("akshare")

xiaobai-datahub/datahub/adapters/base.py

@@ -0,0 +1,47 @@
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import Any
+
+
+class AdapterError(RuntimeError):
+    pass
+
+
+class MarketAdapter(ABC):
+    """Uniform adapter: probe / fetch / normalize. Realtime adapters may be stubs in P0."""
+
+    name: str = "base"
+
+    @abstractmethod
+    def probe(self) -> dict[str, Any]:
+        """Liveness check. Must not leak credentials."""
+
+    @abstractmethod
+    def fetch(self, dataset: str, params: dict[str, Any]) -> list[dict[str, Any]]:
+        """Return provider-native rows (pre-canonical)."""
+
+    @abstractmethod
+    def normalize(self, dataset: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        """Map provider-native rows onto hub canonical fields."""
+
+
+class ReservedAdapter(MarketAdapter):
+    """Placeholder for a later free/licensed source. Does not pull data in P0."""
+
+    def __init__(self, name: str) -> None:
+        self.name = name
+
+    def probe(self) -> dict[str, Any]:
+        return {
+            "provider": self.name,
+            "configured": False,
+            "state": "reserved",
+            "message": "适配器位已预留，本阶段不接入",
+        }
+
+    def fetch(self, dataset: str, params: dict[str, Any]) -> list[dict[str, Any]]:
+        raise AdapterError(f"{self.name} 适配器本阶段未接入")
+
+    def normalize(self, dataset: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        return []

xiaobai-datahub/datahub/adapters/eastmoney.py

@@ -0,0 +1,501 @@
+from __future__ import annotations
+
+import json
+import time
+import urllib.error
+import urllib.parse
+import urllib.request
+from datetime import datetime
+from typing import Any
+
+from datahub.adapters.base import AdapterError, MarketAdapter
+from datahub.numbers import finite_number, round4
+
+EASTMONEY_INDEX_URL = "https://push2.eastmoney.com/api/qt/ulist.np/get"
+EASTMONEY_CLIST_URL = "https://push2.eastmoney.com/api/qt/clist/get"
+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
+TRENDS_URL = "https://push2delay.eastmoney.com/api/qt/stock/trends2/get"
+HIS_TRENDS_URL = "https://push2his.eastmoney.com/api/qt/stock/trends2/get"
+BROWSER_UA = (
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+    "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36"
+)
+INDEX_SECIDS = {
+    "000001.SH": "1.000001",
+    "399001.SZ": "0.399001",
+    "399006.SZ": "0.399006",
+}
+
+
+class EastmoneyAdapter(MarketAdapter):
+    name = "eastmoney"
+
+    def __init__(self, timeout: int = 8) -> None:
+        self.timeout = timeout
+
+    def probe(self) -> dict[str, Any]:
+        started = time.perf_counter()
+        try:
+            rows = self.fetch_indices()
+            state = "ok" if len(rows) == 3 else "empty"
+        except AdapterError as exc:
+            return {
+                "provider": self.name,
+                "configured": True,
+                "state": "error",
+                "message": str(exc),
+                "latency_ms": round((time.perf_counter() - started) * 1000),
+            }
+        return {
+            "provider": self.name,
+            "configured": True,
+            "state": state,
+            "latency_ms": round((time.perf_counter() - started) * 1000),
+        }
+
+    def fetch(self, dataset: str, params: dict[str, Any]) -> list[dict[str, Any]]:
+        if dataset in {"indexes_quotes", "index_quotes"}:
+            return self.fetch_indices()
+        if dataset in {"quotes", "quotes_latest"}:
+            codes = params.get("codes") or []
+            if isinstance(codes, str):
+                codes = [item.strip() for item in codes.split(",") if item.strip()]
+            if codes:
+                return self.fetch_quotes(list(codes))
+            return self.fetch_market_quotes()
+        if dataset in {"quotes_market", "market_quotes"}:
+            return self.fetch_market_quotes()
+        raise AdapterError(f"{self.name} unsupported dataset: {dataset}")
+
+    def normalize(self, dataset: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        return list(rows)
+
+    def fetch_indices(self) -> list[dict[str, Any]]:
+        payload = self._get_json(
+            EASTMONEY_INDEX_URL,
+            {
+                "secids": "1.000001,0.399001,0.399006",
+                "fltt": "2",
+                "invt": "2",
+                "fields": "f12,f14,f2,f3,f4,f15,f16,f17,f18,f6,f124",
+            },
+            referer="https://quote.eastmoney.com/",
+        )
+        rows = list((payload.get("data") or {}).get("diff") or [])
+        result = []
+        for row in rows:
+            code = str(row.get("f12") or "")
+            if code not in {"000001", "399001", "399006"}:
+                continue
+            epoch = int(finite_number(row.get("f124")) or 0)
+            ts_code = f"{code}.SH" if code.startswith("0") and code == "000001" else f"{code}.SZ"
+            if code == "000001":
+                ts_code = "000001.SH"
+            result.append(
+                {
+                    "ts_code": ts_code,
+                    "code": code,
+                    "name": row.get("f14") or code,
+                    "price": round4(finite_number(row.get("f2"))),
+                    "pct_chg": round4(finite_number(row.get("f3"))),
+                    "change_amount": round4(finite_number(row.get("f4"))),
+                    "open": round4(finite_number(row.get("f17"))),
+                    "high": round4(finite_number(row.get("f15"))),
+                    "low": round4(finite_number(row.get("f16"))),
+                    "previous_close": round4(finite_number(row.get("f18"))),
+                    "amount": round4(finite_number(row.get("f6"))),
+                    "quote_time_epoch": epoch,
+                    "quote_time": (
+                        datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
+                        if epoch
+                        else ""
+                    ),
+                    "source": "eastmoney_push2",
+                }
+            )
+        if len(result) != 3:
+            raise AdapterError(f"Eastmoney returned {len(result)}/3 indices")
+        return result
+
+    def fetch_quotes(self, codes: list[str]) -> list[dict[str, Any]]:
+        # Eastmoney ulist.np accepts ~60 secids per request; page remaining codes.
+        secids = []
+        for code in codes:
+            ts = str(code or "").upper()
+            symbol = ts.split(".")[0]
+            if ts.endswith(".SH") or symbol.startswith(("5", "6", "9")):
+                secids.append(f"1.{symbol}")
+            else:
+                secids.append(f"0.{symbol}")
+        if not secids:
+            return []
+        result: 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": "f12,f14,f2,f3,f4,f15,f16,f17,f18,f5,f6,f8,f124",
+                },
+                referer="https://quote.eastmoney.com/",
+            )
+            rows = list((payload.get("data") or {}).get("diff") or [])
+            for row in rows:
+                symbol = str(row.get("f12") or "")
+                if not symbol:
+                    continue
+                ts_code = f"{symbol}.SH" if symbol.startswith(("5", "6", "9")) else f"{symbol}.SZ"
+                epoch = int(finite_number(row.get("f124")) or 0)
+                close = round4(finite_number(row.get("f2")))
+                previous = round4(finite_number(row.get("f18")))
+                quote_date = (
+                    datetime.fromtimestamp(epoch).astimezone().strftime("%Y%m%d")
+                    if epoch
+                    else ""
+                )
+                result.append(
+                    {
+                        "ts_code": ts_code,
+                        "name": row.get("f14") or symbol,
+                        "price": close,
+                        "close": close,
+                        "pct_chg": round4(finite_number(row.get("f3"))),
+                        "change_amount": round4(finite_number(row.get("f4"))),
+                        "open": round4(finite_number(row.get("f17"))),
+                        "high": round4(finite_number(row.get("f15"))),
+                        "low": round4(finite_number(row.get("f16"))),
+                        "pre_close": previous,
+                        "previous_close": previous,
+                        "volume": round4(finite_number(row.get("f5"))),
+                        "vol": round4(finite_number(row.get("f5")) * 100),
+                        "amount": round4(finite_number(row.get("f6"))),
+                        "turnover_rate": round4(finite_number(row.get("f8"))),
+                        "quote_date": quote_date,
+                        "quote_time_epoch": epoch,
+                        "quote_time": (
+                            datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
+                            if epoch
+                            else ""
+                        ),
+                        "source": "eastmoney_push2",
+                    }
+                )
+        return result
+
+    def fetch_market_quotes(self) -> list[dict[str, Any]]:
+        rows: list[dict[str, Any]] = []
+        board_errors: list[str] = []
+        for board in EASTMONEY_A_SHARE_BOARDS:
+            try:
+                rows.extend(self._board_quotes(board))
+            except Exception as exc:
+                board_errors.append(f"{board}:{exc}")
+        quotes: list[dict[str, Any]] = []
+        seen: set[str] = set()
+        for row in rows:
+            quote = _normalize_market_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 AdapterError(f"Eastmoney market snapshot too small: {len(quotes)}{detail}")
+        return quotes
+
+    def _board_quotes(self, board: str) -> list[dict[str, Any]]:
+        first = self._market_page(board, 1)
+        data = first.get("data") or {}
+        rows = list(data.get("diff") or [])
+        total = int(finite_number(data.get("total")) or 0)
+        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._market_page(board, page)
+            rows.extend(list((payload.get("data") or {}).get("diff") or []))
+        return rows
+
+    def _market_page(self, board: str, page: int) -> dict[str, Any]:
+        return self._get_json(
+            EASTMONEY_CLIST_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 fetch_intraday(self, ts_code: str, date: str = "") -> dict[str, Any]:
+        code = str(ts_code or "").upper()
+        if code in INDEX_SECIDS:
+            secid = INDEX_SECIDS[code]
+            entity = "index"
+            identifier = code
+        elif code.startswith("BK") or code.endswith((".TI", ".SI")):
+            symbol = code.split(".")[0]
+            secid = f"90.{symbol}"
+            entity = "board"
+            identifier = symbol
+        else:
+            symbol = code.split(".")[0]
+            market = "1" if symbol.startswith(("5", "6", "9")) else "0"
+            secid = f"{market}.{symbol}"
+            entity = "stock"
+            identifier = symbol
+        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",
+        }
+        data: dict[str, Any] = {}
+        points: list[dict[str, Any]] = []
+        last_error: Exception | None = None
+        for url, ndays in ((TRENDS_URL, "1"), (TRENDS_URL, "5"), (HIS_TRENDS_URL, "5")):
+            try:
+                payload = self._get_json(
+                    url,
+                    {**params, "ndays": ndays},
+                    referer="https://quote.eastmoney.com/",
+                )
+            except AdapterError 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 = _preferred_session(parsed, date)
+            if points:
+                break
+        if not points:
+            raise AdapterError("No intraday chart data returned") from last_error
+        return {
+            "entity_type": entity,
+            "identifier": identifier,
+            "ts_code": code if "." in code else f"{identifier}.{'SH' if identifier.startswith(('5','6','9')) else 'SZ'}",
+            "name": str(data.get("name") or ""),
+            "code": str(data.get("code") or identifier),
+            "trade_date": points[-1]["date"],
+            "previous_close": round4(finite_number(data.get("preClose"))),
+            "points": points,
+            "source": "eastmoney_trends2",
+        }
+
+    def fetch_shenwan_quote(self, ts_code: str) -> dict[str, Any]:
+        code = str(ts_code or "").split(".")[0]
+        if not code:
+            raise AdapterError("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/",
+        )
+        rows = list((payload.get("data") or {}).get("diff") or [])
+        row = next((item for item in rows if item), None)
+        if not row:
+            raise AdapterError(f"Eastmoney Shenwan quote missing for {code}")
+        epoch = int(finite_number(row.get("f124")) or 0)
+        close = round4(finite_number(row.get("f2")))
+        previous = round4(finite_number(row.get("f18")))
+        if close <= 0 or previous <= 0:
+            raise AdapterError(f"Eastmoney Shenwan quote empty for {code}")
+        quote_time = (
+            datetime.fromtimestamp(epoch).astimezone().isoformat(timespec="seconds")
+            if epoch
+            else ""
+        )
+        return {
+            "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": round4(finite_number(row.get("f17"))),
+            "high": round4(finite_number(row.get("f15"))),
+            "low": round4(finite_number(row.get("f16"))),
+            "change": round4(finite_number(row.get("f3"))),
+            "pct_change": round4(finite_number(row.get("f3"))),
+            "pct_chg": round4(finite_number(row.get("f3"))),
+            "amount": round4(finite_number(row.get("f6"))),
+            "leader": row.get("f128") or "--",
+            "leader_code": row.get("f140") or "",
+            "leading_pct": round4(finite_number(row.get("f136"))),
+            "up_count": int(finite_number(row.get("f104")) or 0),
+            "down_count": int(finite_number(row.get("f105")) or 0),
+            "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",
+        }
+
+    def fetch_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 (
+            ("https://push2ex.eastmoney.com/getTopicZTPool", "U"),
+            ("https://push2ex.eastmoney.com/getTopicZBPool", "Z"),
+        ):
+            params = {
+                "ut": "7eea3edcaed734bea9cbfc24409ed989",
+                "dpt": "wz.ztzt",
+                "PageIndex": "0",
+                "PageSize": "200",
+                "sort": "fbt:asc",
+                "stat": "1",
+            }
+            if day:
+                params["date"] = day
+            try:
+                payload = self._get_json(url, params, referer="https://quote.eastmoney.com/")
+            except AdapterError:
+                continue
+            pool = ((payload.get("data") or {}).get("pool") or []) if isinstance(payload.get("data"), dict) else []
+            for item in pool:
+                code = str(item.get("c") or item.get("code") or "")
+                if not code:
+                    continue
+                market = str(item.get("m") or item.get("market") or "")
+                suffix = "SH" if market in {"1", "SH"} or code.startswith(("5", "6", "9")) else "SZ"
+                first = str(item.get("fbt") or item.get("first_time") or "")
+                last = str(item.get("lbt") or item.get("last_time") or "")
+                rows.append(
+                    {
+                        "ts_code": f"{code}.{suffix}",
+                        "limit_type": limit_type,
+                        "first_time": first,
+                        "last_time": last,
+                        "fd_amount": item.get("fund") or item.get("fd_amount"),
+                        "open_times": item.get("zbc") or item.get("open_times"),
+                        "limit_times": item.get("lbc") or item.get("limit_times"),
+                        "turnover_ratio": item.get("hs") or item.get("turnover_ratio"),
+                        "source": "eastmoney_zt_pool",
+                    }
+                )
+        if not rows:
+            raise AdapterError("Eastmoney limit pool empty")
+        return rows
+
+    def _get_json(self, url: str, params: dict[str, str], referer: str) -> dict[str, Any]:
+        request_url = f"{url}?{urllib.parse.urlencode(params)}"
+        request = urllib.request.Request(
+            request_url,
+            headers={
+                "Accept": "application/json,text/plain,*/*",
+                "User-Agent": BROWSER_UA,
+                "Referer": referer,
+            },
+            method="GET",
+        )
+        try:
+            with urllib.request.urlopen(request, timeout=self.timeout) as response:
+                return json.loads(response.read().decode("utf-8"))
+        except Exception as exc:
+            raise AdapterError(f"eastmoney request failed: {exc}") from exc
+
+
+def _preferred_session(points: list[dict[str, Any]], preferred_date: str = "") -> list[dict[str, Any]]:
+    if not points:
+        return []
+    want = ""
+    digits = str(preferred_date or "").replace("-", "")[:8]
+    if len(digits) == 8 and digits.isdigit():
+        want = f"{digits[:4]}-{digits[4:6]}-{digits[6:8]}"
+    if want:
+        matched = [point for point in points if str(point.get("date") or "") == want]
+        if matched:
+            return matched
+    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 _normalize_market_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 = round4(finite_number(row.get("f2")))
+    previous_close = round4(finite_number(row.get("f18")))
+    if close <= 0 or previous_close <= 0:
+        return None
+    market = int(finite_number(row.get("f13")) or 0)
+    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(finite_number(row.get("f124")) or 0)
+    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,
+        "previous_close": previous_close,
+        "open": round4(finite_number(row.get("f17"))),
+        "high": round4(finite_number(row.get("f15"))),
+        "low": round4(finite_number(row.get("f16"))),
+        "close": close,
+        "price": close,
+        "pct_chg": round4(finite_number(row.get("f3"))),
+        "vol": round4(finite_number(row.get("f5")) * 100),
+        "volume": round4(finite_number(row.get("f5")) * 100),
+        "amount": round4(finite_number(row.get("f6"))),
+        "quote_date": quote_date,
+        "quote_time_epoch": epoch,
+        "source": "eastmoney_clist",
+    }
+
+
+def _parse_trend(raw: Any) -> dict[str, Any] | None:
+    text = str(raw or "")
+    parts = text.split(",")
+    if len(parts) < 8:
+        return None
+    stamp = parts[0]
+    try:
+        when = datetime.strptime(stamp, "%Y-%m-%d %H:%M")
+    except ValueError:
+        return None
+    close = round4(finite_number(parts[2]))
+    if close <= 0:
+        return None
+    return {
+        "time": when.strftime("%H:%M"),
+        "date": when.strftime("%Y-%m-%d"),
+        "open": round4(finite_number(parts[1])),
+        "close": close,
+        "high": round4(finite_number(parts[3])),
+        "low": round4(finite_number(parts[4])),
+        "avg_price": round4(finite_number(parts[7] if len(parts) > 7 else parts[2])),
+        "volume": round4(finite_number(parts[5])),
+        "amount": round4(finite_number(parts[6])),
+    }

xiaobai-datahub/datahub/adapters/ifind.py

@@ -0,0 +1,432 @@
+from __future__ import annotations
+
+import copy
+import json
+import threading
+import time
+import urllib.error
+import urllib.request
+from datetime import datetime, timedelta
+from typing import Any, Callable
+
+from datahub.adapters.base import AdapterError, MarketAdapter
+
+UrlOpen = Callable[..., Any]
+
+
+class IfindAdapter(MarketAdapter):
+    """Licensed iFinD source used only inside the data hub."""
+
+    name = "ifind"
+    BASE_URL = "https://quantapi.51ifind.com/api/v1"
+    AUTH_ENDPOINT = "get_access_token"
+    AUTH_ERROR_CODES = {-1302, -1303, -1304, -4302, -4303}
+
+    def __init__(
+        self,
+        refresh_token: str = "",
+        access_token: str = "",
+        timeout: int = 15,
+        urlopen: UrlOpen = urllib.request.urlopen,
+    ) -> None:
+        self.timeout = max(3, int(timeout))
+        self._urlopen = urlopen
+        self._refresh_token = str(refresh_token or "").strip()
+        self._access_token = str(access_token or "").strip()
+        self._access_expires_at: datetime | None = None
+        self._token_lock = threading.Lock()
+        self._cache_lock = threading.Lock()
+        self._cache: dict[str, dict[str, Any]] = {}
+
+    @property
+    def configured(self) -> bool:
+        return bool(self._refresh_token or self._access_token)
+
+    def set_credentials(self, refresh_token: str, access_token: str = "") -> None:
+        refresh_token = str(refresh_token or "").strip()
+        access_token = str(access_token or "").strip()
+        with self._token_lock:
+            refresh_changed = refresh_token != self._refresh_token
+            self._refresh_token = refresh_token
+            if access_token or refresh_changed:
+                self._access_token = access_token
+                self._access_expires_at = None
+        if refresh_changed:
+            with self._cache_lock:
+                self._cache.clear()
+
+    def status(self) -> dict[str, Any]:
+        return {
+            "configured": self.configured,
+            "access_ready": bool(self._access_token),
+            "access_expires_at": (
+                self._access_expires_at.isoformat(timespec="seconds")
+                if self._access_expires_at
+                else ""
+            ),
+        }
+
+    def probe(self) -> dict[str, Any]:
+        started = time.perf_counter()
+        if not self.configured:
+            return {
+                "provider": self.name,
+                "configured": False,
+                "state": "unconfigured",
+                "message": "iFinD token 未配置",
+                "latency_ms": round((time.perf_counter() - started) * 1000),
+            }
+        try:
+            rows = self.real_time("000001.SH", ["latest"], cache_ttl=0)
+            state = "ok" if rows else "empty"
+            return {
+                "provider": self.name,
+                "configured": True,
+                "state": state,
+                "latency_ms": round((time.perf_counter() - started) * 1000),
+            }
+        except AdapterError as exc:
+            return {
+                "provider": self.name,
+                "configured": True,
+                "state": "error",
+                "message": str(exc),
+                "latency_ms": round((time.perf_counter() - started) * 1000),
+            }
+
+    def fetch(self, dataset: str, params: dict[str, Any]) -> list[dict[str, Any]]:
+        if dataset == "wencai":
+            return self.wencai(
+                str(params.get("query") or params.get("searchstring") or ""),
+                str(params.get("search_type") or params.get("searchtype") or "stock"),
+                int(params.get("cache_ttl") or 300),
+            )
+        if dataset == "snapshots":
+            return self.snapshots(
+                params.get("codes") or "",
+                _indicators(params.get("indicators")),
+                str(params.get("start_time") or ""),
+                str(params.get("end_time") or ""),
+                int(params.get("cache_ttl") or 8),
+            )
+        if dataset == "history":
+            return self.history(
+                params.get("codes") or "",
+                _indicators(params.get("indicators") or ["close", "volume", "amount"]),
+                str(params.get("start_date") or ""),
+                str(params.get("end_date") or ""),
+                int(params.get("cache_ttl") or 300),
+            )
+        if dataset == "realtime":
+            return self.real_time(
+                params.get("codes") or "",
+                _indicators(params.get("indicators") or ["latest"]),
+                int(params.get("cache_ttl") or 10),
+            )
+        if dataset == "intraday":
+            return self.intraday(
+                str(params.get("code") or params.get("codes") or ""),
+                str(params.get("start_time") or ""),
+                str(params.get("end_time") or ""),
+                int(params.get("cache_ttl") or 20),
+            )
+        raise AdapterError(f"{self.name} unsupported dataset: {dataset}")
+
+    def normalize(self, dataset: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        return list(rows)
+
+    def real_time(
+        self,
+        codes: str | list[str],
+        indicators: list[str],
+        cache_ttl: int = 10,
+    ) -> list[dict[str, Any]]:
+        code_text = self._codes(codes)
+        payload = self._request(
+            "real_time_quotation",
+            {"codes": code_text, "indicators": ",".join(indicators)},
+            cache_key=f"rq:{code_text}:{','.join(indicators)}",
+            cache_ttl=cache_ttl,
+        )
+        return self._table_rows(payload)
+
+    def history(
+        self,
+        codes: str | list[str],
+        indicators: list[str],
+        start_date: str,
+        end_date: str,
+        cache_ttl: int = 300,
+    ) -> list[dict[str, Any]]:
+        code_text = self._codes(codes)
+        payload = self._request(
+            "cmd_history_quotation",
+            {
+                "codes": code_text,
+                "indicators": ",".join(indicators),
+                "startdate": self._display_date(start_date),
+                "enddate": self._display_date(end_date),
+                "functionpara": {"CPS": "forward1", "Fill": "Omit"},
+            },
+            cache_key=f"hq:{code_text}:{start_date}:{end_date}:{','.join(indicators)}",
+            cache_ttl=cache_ttl,
+        )
+        return self._table_rows(payload)
+
+    def intraday(
+        self,
+        code: str,
+        start_time: str,
+        end_time: str,
+        cache_ttl: int = 20,
+    ) -> list[dict[str, Any]]:
+        indicators = ["open", "high", "low", "close", "volume", "amount", "avgPrice"]
+        payload = self._request(
+            "high_frequency",
+            {
+                "codes": self._codes(code),
+                "indicators": ",".join(indicators),
+                "starttime": start_time,
+                "endtime": end_time,
+                "functionpara": {
+                    "CPS": "forward1",
+                    "Fill": "Previous",
+                    "Timeformat": "LocalTime",
+                    "Interval": "1",
+                    "Limitstart": "09:30:00",
+                    "Limitend": "15:00:00",
+                },
+            },
+            cache_key=f"hf:{code}:{start_time}:{end_time}",
+            cache_ttl=cache_ttl,
+        )
+        return self._table_rows(payload)
+
+    def snapshots(
+        self,
+        codes: str | list[str],
+        indicators: list[str],
+        start_time: str,
+        end_time: str,
+        cache_ttl: int = 8,
+    ) -> list[dict[str, Any]]:
+        code_text = self._codes(codes)
+        payload = self._request(
+            "snap_shot",
+            {
+                "codes": code_text,
+                "indicators": ",".join(indicators),
+                "starttime": start_time,
+                "endtime": end_time,
+            },
+            cache_key=f"ss:{code_text}:{start_time}:{end_time}:{','.join(indicators)}",
+            cache_ttl=cache_ttl,
+        )
+        return self._table_rows(payload)
+
+    def wencai(self, query: str, search_type: str = "stock", cache_ttl: int = 300) -> list[dict[str, Any]]:
+        normalized = " ".join(str(query or "").split())
+        if not normalized:
+            raise AdapterError("问财查询不能为空。")
+        payload = self._request(
+            "smart_stock_picking",
+            {"searchstring": normalized, "searchtype": search_type},
+            cache_key=f"wc:{search_type}:{normalized}",
+            cache_ttl=cache_ttl,
+        )
+        return self._table_rows(payload)
+
+    def _request(
+        self,
+        endpoint: str,
+        body: dict[str, Any],
+        cache_key: str = "",
+        cache_ttl: int = 0,
+    ) -> dict[str, Any]:
+        if not self.configured:
+            raise AdapterError("iFinD 尚未配置。")
+        if cache_key and cache_ttl > 0:
+            cached = self._cached(cache_key, cache_ttl)
+            if cached is not None:
+                return cached
+        payload = self._post(endpoint, body, self._ensure_access_token())
+        if self._is_auth_error(payload) and self._refresh_token:
+            self._invalidate_access_token()
+            payload = self._post(endpoint, body, self._ensure_access_token(force=True))
+        self._validate_payload(payload)
+        if cache_key and cache_ttl > 0:
+            with self._cache_lock:
+                self._cache[cache_key] = {
+                    "created_at": time.time(),
+                    "payload": copy.deepcopy(payload),
+                }
+        return payload
+
+    def _ensure_access_token(self, force: bool = False) -> str:
+        with self._token_lock:
+            now = datetime.now().astimezone().replace(tzinfo=None)
+            token_valid = bool(self._access_token) and (
+                self._access_expires_at is None
+                or self._access_expires_at > now + timedelta(minutes=2)
+            )
+            if token_valid and not force:
+                return self._access_token
+            if not self._refresh_token:
+                if self._access_token:
+                    return self._access_token
+                raise AdapterError("iFinD Refresh Token 尚未配置。")
+            payload = self._post(self.AUTH_ENDPOINT, {}, "", self._refresh_token)
+            self._validate_payload(payload)
+            data = payload.get("data") or {}
+            token = str(data.get("access_token") or "").strip()
+            if not token:
+                raise AdapterError("iFinD 未返回 Access Token。")
+            expires_at = self._parse_datetime(data.get("expired_time"))
+            self._access_token = token
+            self._access_expires_at = expires_at
+            return token
+
+    def _post(
+        self,
+        endpoint: str,
+        body: dict[str, Any],
+        access_token: str,
+        refresh_token: str = "",
+    ) -> dict[str, Any]:
+        headers = {
+            "Accept": "application/json",
+            "Content-Type": "application/json",
+            "User-Agent": "XiaobaiDatahub/1.0",
+            "ifindlang": "cn",
+        }
+        if access_token:
+            headers["access_token"] = access_token
+        if refresh_token:
+            headers["refresh_token"] = refresh_token
+        request = urllib.request.Request(
+            f"{self.BASE_URL}/{endpoint}",
+            data=json.dumps(body, ensure_ascii=False, separators=(",", ":")).encode("utf-8"),
+            headers=headers,
+            method="POST",
+        )
+        try:
+            with self._urlopen(request, timeout=self.timeout) as response:
+                payload = json.loads(response.read().decode("utf-8"))
+        except urllib.error.HTTPError as exc:
+            detail = ""
+            try:
+                detail_payload = json.loads(exc.read().decode("utf-8", errors="replace"))
+                detail = str(detail_payload.get("errmsg") or detail_payload.get("message") or "")
+            except (json.JSONDecodeError, OSError):
+                pass
+            raise AdapterError(f"iFinD HTTP {exc.code}{f'：{detail[:160]}' if detail else ''}") from exc
+        except (urllib.error.URLError, TimeoutError, OSError, json.JSONDecodeError) as exc:
+            raise AdapterError("iFinD 数据请求失败。") from exc
+        if not isinstance(payload, dict):
+            raise AdapterError("iFinD 返回格式不正确。")
+        return payload
+
+    def _cached(self, key: str, ttl: int) -> dict[str, Any] | None:
+        with self._cache_lock:
+            cached = self._cache.get(key)
+            if not cached:
+                return None
+            if time.time() - float(cached.get("created_at") or 0) > ttl:
+                self._cache.pop(key, None)
+                return None
+            return copy.deepcopy(cached["payload"])
+
+    def _invalidate_access_token(self) -> None:
+        with self._token_lock:
+            self._access_token = ""
+            self._access_expires_at = None
+
+    @classmethod
+    def _validate_payload(cls, payload: dict[str, Any]) -> None:
+        try:
+            error_code = int(payload.get("errorcode") or 0)
+        except (TypeError, ValueError):
+            error_code = -1
+        if error_code != 0:
+            message = str(payload.get("errmsg") or "未知错误")
+            raise AdapterError(f"iFinD 返回错误：{message[:200]}")
+
+    @classmethod
+    def _is_auth_error(cls, payload: dict[str, Any]) -> bool:
+        try:
+            error_code = int(payload.get("errorcode") or 0)
+        except (TypeError, ValueError):
+            error_code = 0
+        message = str(payload.get("errmsg") or "").casefold()
+        return error_code in cls.AUTH_ERROR_CODES or "token" in message or "鉴权" in message
+
+    @staticmethod
+    def _table_rows(payload: dict[str, Any]) -> list[dict[str, Any]]:
+        tables = payload.get("tables") or []
+        if isinstance(tables, dict):
+            tables = [tables]
+        rows: list[dict[str, Any]] = []
+        for block in tables if isinstance(tables, list) else []:
+            if not isinstance(block, dict):
+                continue
+            table = block.get("table") or {}
+            if not isinstance(table, dict):
+                continue
+            times = block.get("time") or []
+            codes = block.get("thscode") or block.get("thscodes") or []
+            if isinstance(codes, str):
+                codes = [codes]
+            lengths = [len(value) for value in table.values() if isinstance(value, list)]
+            row_count = max(lengths or [len(times) if isinstance(times, list) else 0, 1 if table else 0])
+            for index in range(row_count):
+                row: dict[str, Any] = {}
+                if isinstance(times, list) and index < len(times):
+                    row["time"] = times[index]
+                if codes:
+                    row["thscode"] = codes[index] if index < len(codes) else codes[0]
+                for field, values in table.items():
+                    if isinstance(values, list):
+                        row[field] = values[index] if index < len(values) else None
+                    elif index == 0:
+                        row[field] = values
+                rows.append(row)
+        return rows
+
+    @staticmethod
+    def _codes(codes: str | list[str]) -> str:
+        if isinstance(codes, list):
+            values = [str(code or "").strip().upper() for code in codes]
+        else:
+            values = [part.strip().upper() for part in str(codes or "").split(",")]
+        values = [value for value in values if value]
+        if not values:
+            raise AdapterError("iFinD 证券代码不能为空。")
+        if len(values) > 100:
+            raise AdapterError("iFinD 单次证券代码过多。")
+        return ",".join(values)
+
+    @staticmethod
+    def _display_date(value: str) -> str:
+        compact = str(value or "").replace("-", "")
+        if len(compact) != 8 or not compact.isdigit():
+            raise AdapterError("iFinD 日期格式不正确。")
+        return f"{compact[:4]}-{compact[4:6]}-{compact[6:]}"
+
+    @staticmethod
+    def _parse_datetime(value: Any) -> datetime | None:
+        text = str(value or "").strip()
+        if not text:
+            return None
+        try:
+            return datetime.fromisoformat(text)
+        except ValueError:
+            return None
+
+
+def _indicators(value: Any) -> list[str]:
+    if isinstance(value, list):
+        return [str(item).strip() for item in value if str(item).strip()]
+    return [part.strip() for part in str(value or "").split(",") if part.strip()]
+
+
+ADAPTER = IfindAdapter()

xiaobai-datahub/datahub/adapters/tencent.py

@@ -0,0 +1,218 @@
+from __future__ import annotations
+
+import time
+import urllib.request
+from datetime import datetime
+from typing import Any
+
+from datahub.adapters.base import AdapterError, MarketAdapter
+from datahub.numbers import finite_number, round4
+
+TENCENT_INDEX_URL = "https://qt.gtimg.cn/q=sh000001,sz399001,sz399006"
+TENCENT_QUOTE_URL = "https://qt.gtimg.cn/q="
+TENCENT_QUOTE_BATCH = 80
+BROWSER_UA = (
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+    "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36"
+)
+
+
+class TencentAdapter(MarketAdapter):
+    name = "tencent"
+
+    def __init__(self, timeout: int = 8) -> None:
+        self.timeout = timeout
+
+    def probe(self) -> dict[str, Any]:
+        started = time.perf_counter()
+        try:
+            rows = self.fetch_indices()
+            state = "ok" if len(rows) == 3 else "empty"
+        except AdapterError as exc:
+            return {
+                "provider": self.name,
+                "configured": True,
+                "state": "error",
+                "message": str(exc),
+                "latency_ms": round((time.perf_counter() - started) * 1000),
+            }
+        return {
+            "provider": self.name,
+            "configured": True,
+            "state": state,
+            "latency_ms": round((time.perf_counter() - started) * 1000),
+        }
+
+    def fetch(self, dataset: str, params: dict[str, Any]) -> list[dict[str, Any]]:
+        if dataset in {"indexes_quotes", "index_quotes"}:
+            return self.fetch_indices()
+        if dataset in {"quotes", "quotes_latest"}:
+            codes = params.get("codes") or []
+            if isinstance(codes, str):
+                codes = [item.strip() for item in codes.split(",") if item.strip()]
+            return self.fetch_quotes(list(codes))
+        if dataset in {"quotes_market", "market_quotes"}:
+            codes = params.get("codes") or []
+            if isinstance(codes, str):
+                codes = [item.strip() for item in codes.split(",") if item.strip()]
+            return self.fetch_quotes(list(codes))
+        raise AdapterError(f"{self.name} unsupported dataset: {dataset}")
+
+    def normalize(self, dataset: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        return list(rows)
+
+    def fetch_indices(self) -> list[dict[str, Any]]:
+        request = urllib.request.Request(
+            TENCENT_INDEX_URL,
+            headers={"User-Agent": BROWSER_UA, "Referer": "https://gu.qq.com/"},
+            method="GET",
+        )
+        try:
+            with urllib.request.urlopen(request, timeout=self.timeout) as response:
+                raw = response.read().decode("gb18030", errors="ignore")
+        except Exception as exc:
+            raise AdapterError(f"tencent request failed: {exc}") from exc
+        result = []
+        for line in raw.splitlines():
+            if '="' not in line:
+                continue
+            fields = line.split('="', 1)[1].rsplit('";', 1)[0].split("~")
+            if len(fields) < 38:
+                continue
+            code = fields[2]
+            if code not in {"000001", "399001", "399006"}:
+                continue
+            try:
+                quote_time = datetime.strptime(fields[30], "%Y%m%d%H%M%S").astimezone()
+            except ValueError as exc:
+                raise AdapterError(f"Tencent invalid quote time for {code}") from exc
+            ts_code = "000001.SH" if code == "000001" else f"{code}.SZ"
+            result.append(
+                {
+                    "ts_code": ts_code,
+                    "code": code,
+                    "name": fields[1] or code,
+                    "price": round4(finite_number(fields[3])),
+                    "pct_chg": round4(finite_number(fields[32])),
+                    "change_amount": round4(finite_number(fields[31])),
+                    "open": round4(finite_number(fields[5])),
+                    "high": round4(finite_number(fields[33])),
+                    "low": round4(finite_number(fields[34])),
+                    "previous_close": round4(finite_number(fields[4])),
+                    "amount": round4(finite_number(fields[37]) * 10000),
+                    "quote_time_epoch": int(quote_time.timestamp()),
+                    "quote_time": quote_time.isoformat(timespec="seconds"),
+                    "source": "tencent_qt",
+                }
+            )
+        if len(result) != 3:
+            raise AdapterError(f"Tencent returned {len(result)}/3 indices")
+        return result
+
+    def fetch_quotes(self, codes: list[str]) -> list[dict[str, Any]]:
+        symbols: list[str] = []
+        seen: set[str] = set()
+        for raw in codes:
+            symbol = _tencent_symbol(str(raw or ""))
+            if not symbol or symbol in seen:
+                continue
+            seen.add(symbol)
+            symbols.append(symbol)
+        if not symbols:
+            return []
+        result: list[dict[str, Any]] = []
+        errors: list[str] = []
+        for index in range(0, len(symbols), TENCENT_QUOTE_BATCH):
+            batch = symbols[index:index + TENCENT_QUOTE_BATCH]
+            try:
+                raw = self._get_text(f"{TENCENT_QUOTE_URL}{','.join(batch)}")
+            except AdapterError as exc:
+                errors.append(str(exc))
+                continue
+            for line in raw.splitlines():
+                quote = _parse_tencent_stock_quote(line)
+                if quote:
+                    result.append(quote)
+        if not result:
+            detail = f"；{'; '.join(errors[:3])}" if errors else ""
+            raise AdapterError(f"Tencent quotes empty{detail}")
+        return result
+
+    def _get_text(self, url: str) -> str:
+        request = urllib.request.Request(
+            url,
+            headers={"User-Agent": BROWSER_UA, "Referer": "https://gu.qq.com/"},
+            method="GET",
+        )
+        try:
+            with urllib.request.urlopen(request, timeout=self.timeout) as response:
+                return response.read().decode("gb18030", errors="ignore")
+        except Exception as exc:
+            raise AdapterError(f"tencent request failed: {exc}") from exc
+
+
+def _tencent_symbol(code: str) -> str:
+    raw = str(code or "").strip().upper()
+    if not raw:
+        return ""
+    symbol = raw.split(".")[0]
+    if not symbol.isdigit() or len(symbol) != 6:
+        return ""
+    if raw.endswith(".SH") or symbol.startswith(("5", "6", "9")):
+        return f"sh{symbol}"
+    if raw.endswith(".BJ") or symbol.startswith(("4", "8")):
+        return f"bj{symbol}"
+    return f"sz{symbol}"
+
+
+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 = str(fields[2] or "")
+    if not symbol.isdigit() or len(symbol) != 6:
+        return None
+    close = round4(finite_number(fields[3]))
+    previous = round4(finite_number(fields[4]))
+    if not close or not previous or close <= 0 or previous <= 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"
+    quote_stamp = ""
+    quote_date = ""
+    epoch = 0
+    try:
+        parsed = datetime.strptime(fields[30], "%Y%m%d%H%M%S")
+        quote_date = parsed.strftime("%Y%m%d")
+        epoch = int(parsed.timestamp())
+        quote_stamp = parsed.astimezone().isoformat(timespec="seconds")
+    except ValueError:
+        pass
+    return {
+        "ts_code": ts_code,
+        "name": fields[1] or symbol,
+        "price": close,
+        "close": close,
+        "pct_chg": round4(finite_number(fields[32])),
+        "change_amount": round4(finite_number(fields[31])),
+        "open": round4(finite_number(fields[5])),
+        "high": round4(finite_number(fields[33])),
+        "low": round4(finite_number(fields[34])),
+        "pre_close": previous,
+        "previous_close": previous,
+        "volume": round4(finite_number(fields[6]) * 100),
+        "vol": round4(finite_number(fields[6]) * 100),
+        "amount": round4(finite_number(fields[37]) * 10000),
+        "quote_date": quote_date,
+        "quote_time_epoch": epoch,
+        "quote_time": quote_stamp,
+        "source": "tencent_qt",
+    }

xiaobai-datahub/datahub/adapters/ths.py

@@ -0,0 +1,3 @@
+from datahub.adapters.base import ReservedAdapter
+
+ADAPTER = ReservedAdapter("ths")