feat(HEL-463): 接入剩余行情数据到 datahub

扩展盘后正式集（涨跌停/人气/龙虎榜/板块日线）与盘中观察 API（报价/指数/分时），网站 bridge 按开关接入并回退旧链路；问天改为按数据依赖跟随开关，不再整栈强制旧路径。

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

xiaobai-datahub/datahub/serving.py

@@ -73,6 +73,20 @@ class V1API:
             return self.moneyflow(q)
         if path == "/v1/auction":
             return self.auction(q)
+        if path == "/v1/limit-events":
+            return self.limit_events(q)
+        if path == "/v1/popularity":
+            return self.popularity(q)
+        if path == "/v1/dragon-tiger":
+            return self.dragon_tiger(q)
+        if path == "/v1/sectors":
+            return self.sectors(q)
+        if path == "/v1/quotes/latest":
+            return self.quotes_latest(q)
+        if path == "/v1/indexes/quotes":
+            return self.index_quotes(q)
+        if path == "/v1/intraday/points":
+            return self.intraday_points(q)
         if path == "/v1/datasets/status":
             return self.dataset_status(q.get("date") or "")
         if path == "/v1/batches":
@@ -197,9 +211,75 @@ class V1API:
     def auction(self, q: dict[str, str]) -> dict[str, Any]:
         return self._published_rows(dataset="auction", table="eod_auction", q=q, source="tushare:stk_auction")
 
+    def limit_events(self, q: dict[str, str]) -> dict[str, Any]:
+        return self._published_rows(
+            dataset="limit_events",
+            table="eod_limit_events",
+            q=q,
+            source="tushare:limit_list_d",
+            extra_filters={"limit_type": q.get("limit_type") or ""},
+        )
+
+    def popularity(self, q: dict[str, str]) -> dict[str, Any]:
+        return self._published_rows(
+            dataset="popularity",
+            table="eod_popularity",
+            q=q,
+            source="tushare:ths_hot+dc_hot",
+            extra_filters={"source": q.get("source") or ""},
+        )
+
+    def dragon_tiger(self, q: dict[str, str]) -> dict[str, Any]:
+        return self._published_rows(
+            dataset="dragon_tiger",
+            table="eod_dragon_tiger",
+            q=q,
+            source="tushare:hm_detail",
+        )
+
+    def sectors(self, q: dict[str, str]) -> dict[str, Any]:
+        return self._published_rows(
+            dataset="sector_daily",
+            table="eod_sector_daily",
+            q=q,
+            source="tushare:ths_daily+dc_index+sw_daily",
+            extra_filters={"family": q.get("family") or ""},
+        )
+
+    def quotes_latest(self, q: dict[str, str]) -> dict[str, Any]:
+        from datahub.realtime_serve import RealtimeApiError, fetch_quotes
+
+        codes = [item.strip() for item in str(q.get("codes") or "").split(",") if item.strip()]
+        try:
+            return fetch_quotes(self.db, codes)
+        except RealtimeApiError as exc:
+            raise ApiError(exc.code, exc.message) from exc
+
+    def index_quotes(self, q: dict[str, str]) -> dict[str, Any]:
+        from datahub.realtime_serve import RealtimeApiError, fetch_index_quotes
+
+        try:
+            return fetch_index_quotes(self.db)
+        except RealtimeApiError as exc:
+            raise ApiError(exc.code, exc.message) from exc
+
+    def intraday_points(self, q: dict[str, str]) -> dict[str, Any]:
+        from datahub.realtime_serve import RealtimeApiError, fetch_intraday
+
+        code = str(q.get("code") or "").strip()
+        if not code:
+            raise ApiError("INVALID_ARGUMENT", "code is required")
+        try:
+            return fetch_intraday(self.db, code, yyyymmdd(q.get("date") or ""))
+        except RealtimeApiError as exc:
+            raise ApiError(exc.code, exc.message) from exc
+
     def dataset_status(self, date: str) -> dict[str, Any]:
         trade_date = yyyymmdd(date or now_shanghai())
-        datasets = ("daily", "valuation", "moneyflow", "auction", "index_daily", "stocks")
+        datasets = (
+            "daily", "valuation", "moneyflow", "auction", "index_daily", "stocks",
+            "limit_events", "popularity", "dragon_tiger", "sector_daily",
+        )
         items = []
         for dataset in datasets:
             pub = self.db.fetchone(
@@ -244,6 +324,7 @@ class V1API:
         source: str,
         adjust: str = "none",
         default_code: str = "",
+        extra_filters: dict[str, str] | None = None,
     ) -> dict[str, Any]:
         trade_date = q.get("date") or q.get("trade_date") or ""
         code = q.get("code") or default_code
@@ -264,6 +345,7 @@ class V1API:
             if resolved is None:
                 raise ApiError("INVALID_ARGUMENT", f"ambiguous code: {code}")
             ts_code = resolved
+        filters = {key: value for key, value in (extra_filters or {}).items() if value}
         # For a range, use per-date published batch. Single-date is the common path.
         if start == end:
             pub = self.db.fetchone(
@@ -282,6 +364,9 @@ class V1API:
             if ts_code:
                 sql += " AND ts_code = ?"
                 params.append(ts_code)
+            for key, value in filters.items():
+                sql += f" AND {key} = ?"
+                params.append(value)
             sql += " ORDER BY ts_code LIMIT ? OFFSET ?"
             params.extend([limit, offset])
             rows = [dict(row) for row in self.db.fetchall(sql, tuple(params))]
@@ -317,6 +402,9 @@ class V1API:
             if ts_code:
                 sql += " AND ts_code = ?"
                 params.append(ts_code)
+            for key, value in filters.items():
+                sql += f" AND {key} = ?"
+                params.append(value)
             sql += " ORDER BY ts_code"
             rows.extend(self.db.fetchall(sql, tuple(params)))
         sliced = rows[offset: offset + limit]