feat(pos): filtrar marcas a solo Mexico/USA/Canada (36 marcas)

Eliminadas marcas de otros mercados (China, Australia, etc.)
Solo se muestran las relevantes para Norteamerica.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

pos/services/catalog_service.py

@@ -17,16 +17,27 @@ import re
 # VEHICLE HIERARCHY NAVIGATION
 # ─────────────────────────────────────────────────────────────────────────────
 
+NORTH_AMERICA_BRANDS = (
+    'ACURA', 'AUDI', 'BMW', 'BUICK', 'CADILLAC', 'CHEVROLET', 'CHRYSLER',
+    'DODGE', 'FIAT', 'FORD', 'GMC', 'HONDA', 'HYUNDAI', 'INFINITI',
+    'JAGUAR', 'JEEP', 'KIA', 'LAND ROVER', 'LEXUS', 'LINCOLN', 'MAZDA',
+    'MERCEDES-BENZ', 'MINI', 'MITSUBISHI', 'NISSAN', 'PEUGEOT', 'PORSCHE',
+    'RAM', 'RENAULT', 'SEAT', 'SUBARU', 'SUZUKI', 'TESLA', 'TOYOTA',
+    'VOLVO', 'VW',
+)
+
+
 def get_brands(master_conn):
-    """Get all vehicle brands that have MYE entries (fast, no vehicle_parts scan)."""
+    """Get vehicle brands available in Mexico/USA/Canada that have MYE entries."""
     cur = master_conn.cursor()
     cur.execute("""
         SELECT DISTINCT b.id_brand, b.name_brand
         FROM brands b
         JOIN models m ON m.brand_id = b.id_brand
         JOIN model_year_engine mye ON mye.model_id = m.id_model
+        WHERE b.name_brand = ANY(%s)
         ORDER BY b.name_brand
-    """)
+    """, (list(NORTH_AMERICA_BRANDS),))
     rows = cur.fetchall()
     cur.close()
     return [{'id_brand': r[0], 'name_brand': r[1]} for r in rows]