feat(HEL-490): 剩余行情改由数据中枢主线路提供

正式页面以 8766 为主线路，旧接口只作故障备用；compose 钉死全部 DATAHUB_READ_*，避免现网残留 0 造成假完成。

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: multica-agent <github@multica.ai>

backend/data/providers/tushare_dashboard.py

@@ -186,7 +186,12 @@ class DashboardMixin:
         previous_sectors = _build_sectors(previous_limits)
         now = self._now()
         market_status = _realtime_market_status(now.time().replace(tzinfo=None))
-        if quote_source == "eastmoney_clist":
+        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。"
             )
@@ -241,10 +246,16 @@ class DashboardMixin:
         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"
         rt_error = ""
         try:
             quotes = self.query("rt_k", {"ts_code": codes})
             if quotes:
+                self._mark_quote_legacy("tushare_rt_k", rt_error)
                 return list(quotes), "tushare_rt_k"
             rt_error = f"No realtime data returned for {trade_date}"
         except TushareError as exc:
@@ -259,8 +270,14 @@ class DashboardMixin:
             raise TushareError(
                 f"当天盘中实时行情不可用：rt_k={rt_error}；免费源=empty"
             )
+        self._mark_quote_legacy(quote_source, rt_error)
         return quotes, quote_source
 
+    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,
@@ -286,8 +303,18 @@ class DashboardMixin:
         return quotes, "tencent_qt"
 
     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
         try:
-            return self._realtime_aggregator().eastmoney_indices()
+            rows = self._realtime_aggregator().eastmoney_indices()
+            marker = getattr(self, "record_datahub_legacy", None)
+            if callable(marker):
+                marker("index_quotes", "eastmoney_push2")
+            return rows
         except Exception:
             return []
 
@@ -692,6 +719,31 @@ 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):