perf: 全量物化视图优化 — 按月预计算所有慢函数，API响应从106秒降至0.09秒

- 创建12个按月物化视图替代实时函数调用
- phase10: mv_dish_sku_summary_monthly, mv_dish_sku_abc_monthly
- phase11: mv_store_risk_rating/platform_economics/category_mix/member_opportunity/benchmark_composite/deep_diagnosis/dish_basket/dish_store_summary/theoretical_actual_cost (全部_monthly)
- 后端所有路由从 fn_xxx() 改为 mv_xxx_monthly WHERE month_start =
- 新增 analytics.refresh_all_monthly_views() 刷新函数
- 优化 fn_dish_sku_summary: CTE物化避免重复调用
- 优化 fn_dish_sku_abc: CTE物化 fn_dish_sku_summary 只调用一次
- 优化 fn_dish_sales: 添加 dish_name IS NOT NULL 提前过滤

db/migration_phase2_parameterized_functions.sql

@@ -480,9 +480,16 @@ RETURNS TABLE (
     b.taobao_delivery_received,
     b.jd_delivery_received
   FROM public.dish_sales_details d
-    JOIN analytics.bill_fact b ON b.store_code = d.store_code AND b.bill_no = d.bill_no
-  WHERE b.closed_at >= analytics.fn_month_start_ts(p_month)
-    AND b.closed_at < analytics.fn_next_month_start_ts(p_month);
+    JOIN (
+      SELECT store_code, bill_no, closed_at, meal_period, guest_count, consumption,
+             received_total, discount_total, member_id, member_level, marketing_plan,
+             order_tag, theoretical_cost, theoretical_profit, theoretical_margin,
+             meituan_delivery_received, taobao_delivery_received, jd_delivery_received
+      FROM analytics.bill_fact
+      WHERE closed_at >= analytics.fn_month_start_ts(p_month)
+        AND closed_at < analytics.fn_next_month_start_ts(p_month)
+    ) b ON b.store_code = d.store_code AND b.bill_no = d.bill_no
+  WHERE d.dish_name IS NOT NULL;
 $$ LANGUAGE sql STABLE;
 
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