Fase 3a ADR 0006 Etapa 2: buscador del navbar via Meilisearch

PredictiveSearch pasa de filtrar en memoria el arreglo completo de
productos (prop products, substring match) a un fetch debounced
(250ms, con AbortController) contra la nueva ruta /api/search --
mismo componente visual, solo cambia de donde salen los datos, tal
como pide el ADR 0006 seccion 5.

/api/search (nueva, server-side) es el puente same-origin: el
componente es cliente y no puede pegarle directo al provider
server-side (MEDUSA_BACKEND_URL es DNS interno del cluster, no
resuelve desde el navegador).

CatalogProvider gana un metodo OPCIONAL searchWithFacets? (no cambia
la firma de getProducts/searchProducts) -- mock.ts y shopify.ts
compilan sin tocarlos, siguen sin implementarlo. medusa.ts lo
implementa contra /store/search (Fase 2), reutilizando mapProduct()
ya que la ruta devuelve el mismo shape de producto que /store/products.
searchProducts tambien se repunta a /store/search, dejando de usar el
?q= + re-filtro client-side de fetchProducts/matchesFilters para busqueda
(que sigue sirviendo para navegacion sin busqueda, sin cambios).

Navbar deja de pasarle products a PredictiveSearch (ya no los necesita)
pero los sigue recibiendo el mismo -- collections todavia se deriva de
ahi.

Limpieza: borrado patches/frontend-medusa-env.yaml, confirmado
huerfano (ningun kustomization lo referencia; el patch que si esta
vivo es frontend/patches/deployment.yaml).

Validado: build completo de Docker (target builder) -- npm ci,
next build con typecheck, /api/search aparece en la tabla de rutas
generada. Cero errores nuevos (los warnings de ESLint son
preexistentes en catalog-client.tsx, no tocado en esta fase).

workloads/ecommerce/components/layout/navbar.tsx

@@ -56,7 +56,7 @@ export function Navbar({ products, categories }: { products: Product[]; categori
           <Link href="/" className="relative size-16 overflow-hidden rounded-full border-2 border-slate-900 bg-black shadow-lg lg:size-20">
             <Image src="/images/brand/logo-ari.png" alt="ARI Shopping" fill priority sizes="80px" className="object-cover" />
           </Link>
-          <PredictiveSearch products={products} />
+          <PredictiveSearch />
           <div className="flex items-center gap-2">
             <Button variant="outline" size="icon" aria-label="Mi cuenta" className="hidden border-slate-300 bg-white text-slate-900 hover:border-violet-400 hover:bg-violet-50 sm:inline-flex" onClick={() => setAccountOpen(true)}><UserRound /></Button>
             <Button variant="outline" size="icon" aria-label={`Favoritos: ${wishlistCount}`} className="relative hidden border-slate-300 bg-white text-slate-900 hover:border-fuchsia-400 hover:bg-fuchsia-50 sm:inline-flex" onClick={openWishlist}>

workloads/ecommerce/components/search/predictive-search.tsx

@@ -4,20 +4,45 @@ import Image from "next/image";
 import Link from "next/link";
 import { useRouter } from "next/navigation";
 import { Search, X } from "lucide-react";
-import { FormEvent, useMemo, useState } from "react";
+import { FormEvent, useEffect, useState } from "react";
 import { Input } from "@/components/ui/input";
 import type { Product } from "@/lib/headless/types";
 
-export function PredictiveSearch({ products }: { products: Product[] }) {
+export function PredictiveSearch() {
   const router = useRouter();
   const [query, setQuery] = useState("");
-  const normalized = query.trim().toLocaleLowerCase("es");
-  const matches = useMemo(
-    () => normalized.length < 2
-      ? []
-      : products.filter((product) => [product.name, product.category, product.collection, product.brand].join(" ").toLocaleLowerCase("es").includes(normalized)).slice(0, 6),
-    [normalized, products],
-  );
+  const [matches, setMatches] = useState<Product[]>([]);
+  const [loading, setLoading] = useState(false);
+  const normalized = query.trim();
+
+  useEffect(() => {
+    if (normalized.length < 2) {
+      setMatches([]);
+      setLoading(false);
+      return;
+    }
+
+    const controller = new AbortController();
+    setLoading(true);
+    const timer = setTimeout(() => {
+      fetch(`/api/search?q=${encodeURIComponent(normalized)}`, {
+        signal: controller.signal,
+      })
+        .then((response) => response.json())
+        .then((data: { products?: Product[] }) => {
+          setMatches((data.products ?? []).slice(0, 6));
+        })
+        .catch((error) => {
+          if ((error as Error).name !== "AbortError") setMatches([]);
+        })
+        .finally(() => setLoading(false));
+    }, 250);
+
+    return () => {
+      clearTimeout(timer);
+      controller.abort();
+    };
+  }, [normalized]);
 
   const submit = (event: FormEvent<HTMLFormElement>) => {
     event.preventDefault();
@@ -36,6 +61,11 @@ export function PredictiveSearch({ products }: { products: Product[] }) {
           {query && <button type="button" aria-label="Limpiar búsqueda" className="absolute right-4 top-1/2 -translate-y-1/2 rounded-full p-1 text-slate-400 hover:bg-slate-100" onClick={() => setQuery("")}><X className="size-4" /></button>}
         </div>
       </div>
+      {loading && normalized.length >= 2 && matches.length === 0 && (
+        <div className="absolute left-0 right-0 top-[calc(100%+10px)] z-50 rounded-2xl border border-slate-200 bg-white p-4 text-center text-sm text-slate-500 shadow-2xl">
+          Buscando…
+        </div>
+      )}
       {matches.length > 0 && (
         <div className="absolute left-0 right-0 top-[calc(100%+10px)] z-50 overflow-hidden rounded-2xl border border-slate-200 bg-white p-2 shadow-2xl">
           {matches.map((product) => (