強化 CD Gunicorn 掛載與 metrics 降噪

routes/system_public_routes.py

@@ -70,23 +70,16 @@ def prometheus_metrics():
             db_status.set(0)
             app_health.set(0)
 
+        session = None
         try:
             db = DatabaseManager()
             session = db.get_session()
-
-            product_count = Gauge('momo_products_total', '商品總數', registry=registry)
-            product_count.set(session.query(Product).count())
-
-            price_record_count = Gauge('momo_price_records_total', '價格記錄總數', registry=registry)
-            price_record_count.set(session.query(PriceRecord).count())
-
-            from database.realtime_sales_models import RealtimeSalesMonthly
-            sales_count = Gauge('momo_sales_records_total', '業績資料總數', registry=registry)
-            sales_count.set(session.query(RealtimeSalesMonthly).count())
-
-            session.close()
+            _set_database_record_counts(registry, Gauge, session)
         except Exception as e:
             sys_log.warning(f"[Metrics] 無法取得資料庫統計: {e}")
+        finally:
+            if session is not None:
+                session.close()
 
         try:
             _register_ai_automation_metrics(registry, Gauge, ai_metrics_snapshot())
@@ -113,6 +106,20 @@ def _labels_to_dict(labels):
     return dict(labels)
 
 
+def _set_database_record_counts(registry, gauge_cls, session):
+    """Register DB counts without selecting drift-prone sales columns."""
+    product_count = gauge_cls('momo_products_total', '商品總數', registry=registry)
+    product_count.set(session.query(Product).count())
+
+    price_record_count = gauge_cls('momo_price_records_total', '價格記錄總數', registry=registry)
+    price_record_count.set(session.query(PriceRecord).count())
+
+    # V-Fix: realtime_sales_monthly 線上欄位曾與 ORM 不同步，metrics 只需要總筆數。
+    sales_count = gauge_cls('momo_sales_records_total', '業績資料總數', registry=registry)
+    sales_total = session.execute(text("SELECT COUNT(*) FROM realtime_sales_monthly")).scalar() or 0
+    sales_count.set(sales_total)
+
+
 def _register_ai_automation_metrics(registry, gauge_cls, metrics_snapshot):
     """Export dependency-free AI metrics into a per-request Prometheus registry."""
     gauges = {}