migration: preserve market insights slice

app/backend/features/popularity/__init__.py

@@ -0,0 +1,4 @@
+from .repository import PopularityRepositoryMixin
+from .service import PopularityServiceMixin
+
+__all__ = ["PopularityRepositoryMixin", "PopularityServiceMixin"]

app/backend/features/popularity/repository.py

@@ -0,0 +1,37 @@
+from __future__ import annotations
+
+from typing import Any
+
+
+class PopularityRepositoryMixin:
+    def upsert_popularity_factors(self, rows: list[dict[str, Any]]) -> int:
+        values = [
+            (
+                str(row.get("trade_date") or ""),
+                str(row.get("ts_code") or ""),
+                int(row["ths_rank"]) if row.get("ths_rank") not in (None, "") else None,
+                int(row["dc_rank"]) if row.get("dc_rank") not in (None, "") else None,
+                float(row.get("combined_score") or 0),
+                int(row["rank_change"]) if row.get("rank_change") not in (None, "") else None,
+                int(bool(row.get("dual_source"))),
+            )
+            for row in rows
+            if row.get("trade_date") and row.get("ts_code")
+        ]
+        with self.connect() as connection:
+            connection.executemany(
+                """
+                INSERT INTO popularity_factors
+                    (trade_date, ts_code, ths_rank, dc_rank, combined_score,
+                     rank_change, dual_source)
+                VALUES (?, ?, ?, ?, ?, ?, ?)
+                ON CONFLICT(trade_date, ts_code) DO UPDATE SET
+                    ths_rank=excluded.ths_rank,
+                    dc_rank=excluded.dc_rank,
+                    combined_score=excluded.combined_score,
+                    rank_change=excluded.rank_change,
+                    dual_source=excluded.dual_source
+                """,
+                values,
+            )
+        return len(values)

app/backend/features/popularity/service.py

@@ -0,0 +1,11 @@
+from __future__ import annotations
+
+from typing import Any
+
+from backend.bootstrap.config import normalize_date
+from backend.features.market.insights import MarketInsightsService
+
+
+class PopularityServiceMixin:
+    def popularity(self, trade_date: str, force: bool = False) -> dict[str, Any]:
+        return self._market_insights().popularity(normalize_date(trade_date), force)