fix(dashboard): warm cache after AI pick refresh

routes/ai_routes.py

@@ -1625,6 +1625,7 @@ def api_generate_product_picks():
         from sqlalchemy import create_engine
         from services.ai_product_pick_agent import generate_product_pick_list
         from services.cache_manager import clear_dashboard_cache
+        from routes.dashboard_routes import get_full_dashboard_data
 
         payload = request.get_json(silent=True) or {}
         limit = int(payload.get('limit', 50))
@@ -1633,6 +1634,11 @@ def api_generate_product_picks():
         engine = create_engine(DATABASE_PATH)
         result = generate_product_pick_list(engine, limit=limit)
         clear_dashboard_cache()
+        dashboard_cache_warmed = False
+        try:
+            dashboard_cache_warmed = bool(get_full_dashboard_data())
+        except Exception as warm_err:
+            logger.warning(f"[ProductPickAgent] 商品看板快取預熱失敗: {warm_err}")
 
         return jsonify({
             'success': True,
@@ -1641,6 +1647,7 @@ def api_generate_product_picks():
                 'candidates': result.candidates,
                 'written': result.written,
                 'generated_at': result.generated_at,
+                'dashboard_cache_warmed': dashboard_cache_warmed,
                 'picks': result.picks[:50],
             }
         })
@@ -1668,6 +1675,8 @@ def api_pchome_match_backfill():
             engine = create_engine(DATABASE_PATH)
             result = CompetitorPriceFeeder(engine=engine).run_unmatched_priority(limit=limit)
             pick_result = generate_product_pick_list(engine, limit=50)
+            from services.cache_manager import clear_dashboard_cache
+            clear_dashboard_cache()
             logger.info(
                 "[PChomeBackfill] done total=%s matched=%s no=%s low=%s errors=%s history=%s duration=%ss pick_written=%s",
                 result.total_skus,