fix: support legacy research snapshots on macOS

scripts/run_portfolio_construction_matrix.py

@@ -210,6 +210,43 @@ def _worker_run_cell(cell: dict[str, Any]) -> dict[str, Any]:
     }
 
 
+async def _fetch_snapshot_columns(
+    db: AsyncSession,
+    ticker_id: int,
+) -> tuple | None:
+    '''Load only the stable OHLCV columns required by the research replay.
+
+    Research snapshots can predate unrelated additions to the Ticker ORM model
+    (for example SEC CIK/SIC metadata). Keeping this query column-scoped avoids
+    requiring or mutating those newer application-schema fields.
+    '''
+    from app.models.ohlcv import OHLCVRecord
+
+    result = await db.execute(
+        select(
+            OHLCVRecord.date,
+            OHLCVRecord.open,
+            OHLCVRecord.high,
+            OHLCVRecord.low,
+            OHLCVRecord.close,
+            OHLCVRecord.volume,
+        )
+        .where(OHLCVRecord.ticker_id == ticker_id)
+        .order_by(OHLCVRecord.date)
+    )
+    rows = result.all()
+    if not rows:
+        return None
+    return (
+        [row[0].toordinal() for row in rows],
+        [float(row[1]) for row in rows],
+        [float(row[2]) for row in rows],
+        [float(row[3]) for row in rows],
+        [float(row[4]) for row in rows],
+        [int(row[5]) for row in rows],
+    )
+
+
 async def _load_snapshot(
     snapshot: Path,
     *,
@@ -238,14 +275,16 @@ async def _load_snapshot(
                 refresh=False,
             )
             ticker_result = await db.execute(
-                select(Ticker).order_by(Ticker.symbol)
+                select(Ticker.id, Ticker.symbol).order_by(Ticker.symbol)
             )
-            symbols = [
-                ticker.symbol for ticker in ticker_result.scalars().all()
+            ticker_rows = [
+                (int(ticker_id), str(symbol))
+                for ticker_id, symbol in ticker_result.all()
             ]
+            symbols = [symbol for _ticker_id, symbol in ticker_rows]
             prices: dict[str, tuple] = {}
-            for index, symbol in enumerate(symbols, 1):
-                columns = await bt._fetch_columns(db, symbol)
+            for index, (ticker_id, symbol) in enumerate(ticker_rows, 1):
+                columns = await _fetch_snapshot_columns(db, ticker_id)
                 if columns is not None:
                     prices[symbol] = columns
                 if not quiet and index % 50 == 0: