rebuild(stage-6): deliver emotion and market pools

next/backend/data/providers/tushare.py

@@ -92,6 +92,44 @@ class TushareProvider:
             unit="yuan/share",
         )
 
+    def snapshot_inputs(
+        self, trade_date: str, previous_trade_date: str
+    ) -> dict[str, ProviderResult | dict[str, Any]]:
+        current = _compact(trade_date)
+        previous = _compact(previous_trade_date)
+        daily = self._query(
+            "daily",
+            {"trade_date": current},
+            "ts_code,trade_date,open,high,low,close,pre_close,pct_chg,vol,amount",
+            unit="mixed",
+        )
+        event_fields = (
+            "trade_date,ts_code,industry,name,close,pct_chg,amount,limit_amount,"
+            "float_mv,total_mv,turnover_ratio,fd_amount,first_time,last_time,"
+            "open_times,up_stat,limit_times"
+        )
+        datasets: dict[str, ProviderResult | dict[str, Any]] = {"daily": daily}
+        datasets["price_limits"] = self._query(
+            "stk_limit",
+            {"trade_date": current},
+            "ts_code,trade_date,up_limit,down_limit",
+            unit="yuan/share",
+        )
+        for key, limit_type, date in (
+            ("limit_up", "U", current),
+            ("limit_down", "D", current),
+            ("broken", "Z", current),
+            ("previous_limit_up", "U", previous),
+        ):
+            datasets[key] = self._query(
+                "limit_list_d",
+                {"trade_date": date, "limit_type": limit_type},
+                event_fields,
+                unit="mixed",
+                empty_is_complete=True,
+            )
+        return datasets
+
     def _query(
         self,
         api_name: str,
@@ -100,6 +138,7 @@ class TushareProvider:
         *,
         unit: str,
         adjustment: str = "not_applicable",
+        empty_is_complete: bool = False,
     ) -> ProviderResult:
         if not self.configured:
             raise ProviderError("行情服务尚未配置")
@@ -126,7 +165,8 @@ class TushareProvider:
         data = payload.get("data") or {}
         columns = data.get("fields") or []
         rows = tuple(dict(zip(columns, item, strict=False)) for item in data.get("items") or [])
-        return ProviderResult(rows, _metadata(self.source, unit, 1 if rows else 0, adjustment))
+        coverage = 1 if rows or empty_is_complete else 0
+        return ProviderResult(rows, _metadata(self.source, unit, coverage, adjustment))
 
     def _token(self) -> str:
         return str(self._token_provider() or "").strip()