fix: _batch_check_missing_periods — today 포함 시 항상 re-fetch

_check_missing_periods는 수정됐지만 bulk 경로에서 사용하는
_batch_check_missing_periods에는 동일한 today 체크가 빠져 있었음.

POST /price/data/bulk로 당일 데이터 요청 시 DB에 mid-session으로
캐시된 partial-volume 데이터를 그대로 반환하는 버그.

end_date.date() >= today이면 모든 티커를 missing으로 처리하여
_check_missing_periods와 동일한 동작 보장.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/services/price_data_service.py

@@ -103,11 +103,22 @@ class PriceDataService:
         end_date: datetime,
         interval: str
     ) -> List[datetime]:
-        """Check which periods are missing in the database"""
+        """Check which periods are missing in the database.
+
+        Also treats today's data as always-missing so that end-of-day volumes
+        get re-fetched rather than returning a mid-session snapshot that was
+        cached earlier in the day.
+        """
         # If no date range provided, assume we need to fetch data
         if start_date is None or end_date is None:
             return [datetime.now()]  # Return a dummy date to trigger fetch
 
+        # Always re-fetch if the range includes today: daily bars fetched mid-session
+        # are stored with partial (intraday) volume and must be refreshed after close.
+        today = datetime.now(timezone.utc).date()
+        if end_date.date() >= today:
+            return [datetime.now()]
+
         # Check if we have any data for this ticker and interval
         result = await db.execute(
             select(PriceData.date)
@@ -506,9 +517,22 @@ class PriceDataService:
         if not rows:
             return
 
-        # Single batch INSERT — skip rows that violate the unique constraint (ticker, date)
+        # Upsert: on conflict update OHLCV + updated_at so that stale intraday-cached rows
+        # get overwritten when force_refresh=True re-fetches final EOD data.
         stmt = pg_insert(PriceData).values(rows)
-        stmt = stmt.on_conflict_do_nothing(constraint='uq_price_data')
+        stmt = stmt.on_conflict_do_update(
+            constraint='uq_price_data',
+            set_={
+                'open': stmt.excluded.open,
+                'high': stmt.excluded.high,
+                'low': stmt.excluded.low,
+                'close': stmt.excluded.close,
+                'volume': stmt.excluded.volume,
+                'adjusted_close': stmt.excluded.adjusted_close,
+                'data_source': stmt.excluded.data_source,
+                'updated_at': stmt.excluded.updated_at,
+            }
+        )
         await db.execute(stmt)
 
     async def _get_price_data_from_db(
@@ -779,7 +803,17 @@ class PriceDataService:
         end_date: datetime,
         interval: str
     ) -> List[str]:
-        """Batch check which tickers have missing periods"""
+        """Batch check which tickers have missing periods.
+
+        If the range includes today, all tickers are treated as missing so that
+        mid-session cached rows (partial volume) are always refreshed.
+        """
+        # Always re-fetch when range includes today (same logic as _check_missing_periods)
+        today = datetime.now(timezone.utc).date()
+        if end_date.date() >= today:
+            logger.debug(f"_batch_check_missing_periods: end_date includes today — forcing re-fetch for all {len(tickers)} tickers")
+            return list(tickers)
+
         # Single query to check all tickers at once
         from sqlalchemy import func, case
         
@@ -968,7 +1002,19 @@ class PriceDataService:
             return
 
         stmt = pg_insert(PriceData).values(rows)
-        stmt = stmt.on_conflict_do_nothing(constraint='uq_price_data')
+        stmt = stmt.on_conflict_do_update(
+            constraint='uq_price_data',
+            set_={
+                'open': stmt.excluded.open,
+                'high': stmt.excluded.high,
+                'low': stmt.excluded.low,
+                'close': stmt.excluded.close,
+                'volume': stmt.excluded.volume,
+                'adjusted_close': stmt.excluded.adjusted_close,
+                'data_source': stmt.excluded.data_source,
+                'updated_at': stmt.excluded.updated_at,
+            }
+        )
         await db.execute(stmt)
         logger.info(f"Batch upserted {len(rows)} price records for {ticker}")