chore(gitops): deploy Docs Portal v1.0.173 [skip ci]

[email protected] (creado para la auditoria de Etapa 1) fue
borrado 2026-08-27 via Medusa Admin UI -- ya no queda pendiente
abierto en el ADR.

workloads/docs-portal/docs/decisiones/0005-rediseno-storefront.md

@@ -282,7 +282,7 @@ contra estos 9 productos demo:
    intercalados en la grilla (PR #41, con fix-forward de tipos en
    PR #42).
 
-**Pendiente:** borrar el usuario admin temporal `[email protected]`
+El usuario admin temporal `[email protected]` (creado para la
-de Medusa Admin (creado para la auditoría de la sección 5, ya no
+auditoría de la sección 5) fue borrado el 2026-08-27 vía Medusa Admin.
-necesario). Sin próxima etapa definida todavía — este ADR no
+Sin próxima etapa definida todavía — este ADR no especifica una
-especifica una Etapa 3.
+Etapa 3.

workloads/docs-portal/patches/deployment.yaml

@@ -25,7 +25,7 @@ spec:
         runAsNonRoot: false
       containers:
         - name: app
-          image: gitea.cruzcloud.net/devops/docs-portal:v1.0.164
+          image: gitea.cruzcloud.net/devops/docs-portal:v1.0.173
           # El base saca TODAS las capabilities. Probado en vivo y
           # revertido: con drop: ALL (aunque se agregue NET_BIND_SERVICE
           # de vuelta) el propio entrypoint de nginx:1.27-alpine falla al

workloads/ecommerce/app/api/search/route.ts

@@ -0,0 +1,45 @@
+import { searchWithFacets } from "@/lib/headless/client";
+import type { ProductFilters } from "@/lib/headless/types";
+
+// PredictiveSearch es un componente cliente y no puede pegarle directo
+// al provider server-side (MEDUSA_BACKEND_URL es un nombre DNS interno
+// del cluster, no resuelve desde el navegador) -- esta ruta es el
+// puente same-origin.
+export async function GET(request: Request) {
+  const { searchParams } = new URL(request.url);
+
+  const filters: ProductFilters = {
+    query: searchParams.get("q") ?? undefined,
+    category: searchParams.get("category") ?? undefined,
+    collection: searchParams.get("collection") ?? undefined,
+    brand: searchParams.get("brand") ?? undefined,
+    ageRange: searchParams.get("ageRange") ?? undefined,
+  };
+
+  const minPrice = searchParams.get("minPrice");
+  if (minPrice) filters.minPrice = Number(minPrice);
+  const maxPrice = searchParams.get("maxPrice");
+  if (maxPrice) filters.maxPrice = Number(maxPrice);
+  const limit = searchParams.get("limit");
+  if (limit) filters.limit = Number(limit);
+
+  try {
+    const result = await searchWithFacets(filters);
+    // provider actual no implementa searchWithFacets (mock/shopify) --
+    // degradar a vacío, no a 500; el componente cliente cae de nuevo a
+    // su propio filtrado si esta ruta no trae nada útil.
+    return Response.json(
+      result ?? { products: [], facetDistribution: {}, count: 0 },
+    );
+  } catch (error) {
+    return Response.json(
+      {
+        products: [],
+        facetDistribution: {},
+        count: 0,
+        error: (error as Error).message,
+      },
+      { status: 502 },
+    );
+  }
+}

workloads/ecommerce/commerce/medusa/patches/deployment.yaml

@@ -65,7 +65,7 @@ spec:
               memory: 64Mi
 
         - name: migrations
-          image: gitea.cruzcloud.net/devops/ecommerce-medusa:v1.0.167
+          image: gitea.cruzcloud.net/devops/ecommerce-medusa:v1.0.168
           imagePullPolicy: IfNotPresent
           command:
             - node
@@ -86,7 +86,7 @@ spec:
 
       containers:
         - name: app
-          image: gitea.cruzcloud.net/devops/ecommerce-medusa:v1.0.167
+          image: gitea.cruzcloud.net/devops/ecommerce-medusa:v1.0.168
           imagePullPolicy: IfNotPresent
           envFrom:
             - configMapRef:

workloads/ecommerce/components/catalog/catalog-client.tsx

@@ -7,7 +7,7 @@ import { PromoTile } from "@/components/home/category-tiles";
 import { ProductCard } from "@/components/product/product-card";
 import { Button } from "@/components/ui/button";
 import { Input } from "@/components/ui/input";
-import type { Category, Product } from "@/lib/headless/types";
+import type { Category, FacetDistribution, Product } from "@/lib/headless/types";
 
 // Cada cuantas tarjetas de producto se intercala un tile promocional en
 // la grilla (patron Walmart, ADR 0005 seccion 3): grid con tiles
@@ -156,8 +156,10 @@ export function CatalogClient({
   // Conteos por valor de filtro (patron Amazon: "Marca (12)"), calculados
   // sobre los productos que ya pasan el resto de filtros activos -- cada
   // dimension se cuenta excluyendose a si misma para reflejar cuantos
-  // resultados habria si se eligiera ese valor.
+  // resultados habria si se eligiera ese valor. Sirven de fallback cuando
-  const categoryCounts = useMemo(() => {
+  // el provider activo no soporta facetas reales (mock/shopify) o cuando
+  // la busqueda en vivo todavia no respondio.
+  const fallbackCategoryCounts = useMemo(() => {
     const base = products.filter(
       (product) => matchesQuery(product, query) && matchesCollection(product, collection) && matchesBrand(product, brand) && matchesAge(product, age) && matchesPrice(product, maxPrice),
     );
@@ -170,7 +172,7 @@ export function CatalogClient({
     return counts;
   }, [age, brand, categories, categoryGroups, collection, maxPrice, products, query]);
 
-  const brandCounts = useMemo(() => {
+  const fallbackBrandCounts = useMemo(() => {
     const base = products.filter(
       (product) =>
         matchesQuery(product, query) &&
@@ -187,7 +189,7 @@ export function CatalogClient({
     return counts;
   }, [age, allowedCategories, brands, category, collection, maxPrice, products, query]);
 
-  const ageCounts = useMemo(() => {
+  const fallbackAgeCounts = useMemo(() => {
     const base = products.filter(
       (product) =>
         matchesQuery(product, query) &&
@@ -204,6 +206,108 @@ export function CatalogClient({
     return counts;
   }, [ages, allowedCategories, brand, category, collection, maxPrice, products, query]);
 
+  // "Mochilas y morrales" etc.: nombre sintetico de grupo que no existe
+  // como valor indexado en Meilisearch (ningun producto lo tiene como
+  // category real, solo sus hijos -- ver categoryGroups arriba). Mientras
+  // esa sea la categoria activa, las facetas en vivo de marca/edad no
+  // pueden filtrar por ella y se degrada al conteo client-side, que si
+  // sabe expandir el grupo via matchesCategory/allowedCategories.
+  const categoryIsLeafOrNone = category === "Todos" || !categoryGroups[category];
+
+  // Conteos reales via Meilisearch (ADR 0006 Etapa 2 Fase 3b): un fetch
+  // por dimension contra /api/search, cada uno omitiendo su propio filtro
+  // (mismo criterio de auto-exclusion que el fallback de arriba) para que
+  // los conteos reflejen el subconjunto ya filtrado por las OTRAS
+  // dimensiones y se puedan seguir eligiendo otros valores. `limit=0` evita
+  // rehidratar precios de productos que no vamos a mostrar -- solo importan
+  // `facetDistribution` y `count`.
+  const [liveFacets, setLiveFacets] = useState<{
+    category: Record<string, number> | null;
+    categoryTotal: number | null;
+    brand: Record<string, number> | null;
+    brandTotal: number | null;
+    ageRange: Record<string, number> | null;
+    ageTotal: number | null;
+  }>({ category: null, categoryTotal: null, brand: null, brandTotal: null, ageRange: null, ageTotal: null });
+
+  useEffect(() => {
+    const controller = new AbortController();
+
+    function buildParams(omit: "category" | "brand" | "ageRange"): URLSearchParams {
+      const params = new URLSearchParams({ limit: "0" });
+      if (query) params.set("q", query);
+      if (collection) params.set("collection", collection);
+      if (omit !== "category" && category !== "Todos" && categoryIsLeafOrNone) {
+        params.set("category", category);
+      }
+      if (omit !== "brand" && brand !== "Todas") params.set("brand", brand);
+      if (omit !== "ageRange" && age !== "Todas") params.set("ageRange", age);
+      if (maxPrice > 0) params.set("maxPrice", String(maxPrice));
+      return params;
+    }
+
+    async function fetchFacet(omit: "category" | "brand" | "ageRange") {
+      const response = await fetch(`/api/search?${buildParams(omit).toString()}`, {
+        signal: controller.signal,
+      });
+      return (await response.json()) as { facetDistribution?: FacetDistribution };
+    }
+
+    // El "count"/estimatedTotalHits que devuelve /api/search viene en 0 con
+    // limit=0 (confirmado en vivo contra Meilisearch real -- limit>=1 lo
+    // reporta bien, limit=0 no). facetDistribution si es correcto con
+    // limit=0, y cada producto tiene siempre un valor para cada dimension
+    // (mapProduct usa defaults como "ARI Shopping"/"Todas", nunca null), asi
+    // que sumar sus valores da el total real sin depender de ese campo.
+    function sumFacetValues(facet: Record<string, number> | null): number {
+      return facet ? Object.values(facet).reduce((sum, value) => sum + value, 0) : 0;
+    }
+
+    const timer = setTimeout(() => {
+      Promise.all([fetchFacet("category"), fetchFacet("brand"), fetchFacet("ageRange")])
+        .then(([categoryRes, brandRes, ageRes]) => {
+          // Un facetDistribution vacio ({}) es la senal de degrade explicita
+          // de /api/search (provider sin searchWithFacets, o Meilisearch
+          // sin indices todavia) -- distinto de una faceta real con 0
+          // resultados, que igual trae la clave presente.
+          const categoryFacet = categoryRes.facetDistribution && "category" in categoryRes.facetDistribution ? categoryRes.facetDistribution.category : null;
+          const brandFacet = brandRes.facetDistribution && "brand" in brandRes.facetDistribution ? brandRes.facetDistribution.brand : null;
+          const ageFacet = ageRes.facetDistribution && "ageRange" in ageRes.facetDistribution ? ageRes.facetDistribution.ageRange : null;
+          setLiveFacets({
+            category: categoryFacet,
+            categoryTotal: categoryFacet ? sumFacetValues(categoryFacet) : null,
+            brand: categoryIsLeafOrNone ? brandFacet : null,
+            brandTotal: categoryIsLeafOrNone && brandFacet ? sumFacetValues(brandFacet) : null,
+            ageRange: categoryIsLeafOrNone ? ageFacet : null,
+            ageTotal: categoryIsLeafOrNone && ageFacet ? sumFacetValues(ageFacet) : null,
+          });
+        })
+        .catch((error) => {
+          if ((error as Error).name !== "AbortError") {
+            setLiveFacets({ category: null, categoryTotal: null, brand: null, brandTotal: null, ageRange: null, ageTotal: null });
+          }
+        });
+    }, 300);
+
+    return () => {
+      clearTimeout(timer);
+      controller.abort();
+    };
+  }, [age, brand, category, categoryIsLeafOrNone, collection, maxPrice, query]);
+
+  const categoryCounts = useMemo(
+    () => (liveFacets.category ? { Todos: liveFacets.categoryTotal ?? 0, ...liveFacets.category } : fallbackCategoryCounts),
+    [fallbackCategoryCounts, liveFacets.category, liveFacets.categoryTotal],
+  );
+  const brandCounts = useMemo(
+    () => (liveFacets.brand ? { Todas: liveFacets.brandTotal ?? 0, ...liveFacets.brand } : fallbackBrandCounts),
+    [fallbackBrandCounts, liveFacets.brand, liveFacets.brandTotal],
+  );
+  const ageCounts = useMemo(
+    () => (liveFacets.ageRange ? { Todas: liveFacets.ageTotal ?? 0, ...liveFacets.ageRange } : fallbackAgeCounts),
+    [fallbackAgeCounts, liveFacets.ageRange, liveFacets.ageTotal],
+  );
+
   const reset = () => {
     setQuery("");
     setCategory("Todos");

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, setMatches] = useState<Product[]>([]);
-  const matches = useMemo(
+  const [loading, setLoading] = useState(false);
-    () => normalized.length < 2
+  const normalized = query.trim();
-      ? []
+
-      : products.filter((product) => [product.name, product.category, product.collection, product.brand].join(" ").toLocaleLowerCase("es").includes(normalized)).slice(0, 6),
+  useEffect(() => {
-    [normalized, products],
+    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) => (

workloads/ecommerce/frontend/patches/deployment.yaml

@@ -25,7 +25,7 @@ spec:
         runAsUser: 1001
       containers:
         - name: app
-          image: gitea.cruzcloud.net/devops/ecommerce-frontend:v1.0.157
+          image: gitea.cruzcloud.net/devops/ecommerce-frontend:v1.0.172
           env:
             - name: HEADLESS_PROVIDER
               value: medusa

workloads/ecommerce/lib/headless/client.ts

@@ -26,3 +26,7 @@ export async function searchProducts(query: string, limit?: number) {
 export async function getCategories() {
   return provider().getCategories();
 }
+
+export async function searchWithFacets(filters?: ProductFilters) {
+  return provider().searchWithFacets?.(filters);
+}

workloads/ecommerce/lib/headless/providers/medusa.ts

@@ -1,6 +1,8 @@
 import type {
   CatalogProvider,
   Category,
+  FacetDistribution,
+  FacetedSearchResult,
   Product,
   ProductFilters,
   ProductVariant,
@@ -385,6 +387,56 @@ async function fetchCategories(): Promise<Category[]> {
     }));
 }
 
+type MedusaSearchResponse = {
+  products: MedusaProduct[];
+  facetDistribution?: FacetDistribution;
+  count?: number;
+};
+
+// Pega contra /store/search (ADR 0006 Etapa 2) en vez de /store/products
+// -- Meilisearch resuelve texto tolerante a errores de tipeo y facetas
+// reales, la ruta del backend re-hidrata precio/inventario vía
+// query.graph antes de responder, así que el shape de MedusaProduct es
+// exactamente el mismo que ya mapea mapProduct().
+async function fetchWithFacets(
+  filters?: ProductFilters,
+  limit = 24,
+): Promise<FacetedSearchResult> {
+  const params = new URLSearchParams({
+    limit: String(limit),
+    region_id: regionId(),
+  });
+
+  if (filters?.query) params.set("q", filters.query);
+  if (filters?.category && filters.category !== "Todos") {
+    params.set("category", filters.category);
+  }
+  if (filters?.collection) params.set("collection", filters.collection);
+  if (filters?.brand && filters.brand !== "Todas") {
+    params.set("brand", filters.brand);
+  }
+  if (filters?.ageRange && filters.ageRange !== "Todas") {
+    params.set("ageRange", filters.ageRange);
+  }
+  if (typeof filters?.minPrice === "number") {
+    params.set("minPrice", String(filters.minPrice));
+  }
+  if (typeof filters?.maxPrice === "number") {
+    params.set("maxPrice", String(filters.maxPrice));
+  }
+
+  const response = await medusaFetch<MedusaSearchResponse>(
+    "/store/search",
+    params,
+  );
+
+  return {
+    products: response.products.map(mapProduct),
+    facetDistribution: response.facetDistribution ?? {},
+    count: response.count ?? response.products.length,
+  };
+}
+
 export const medusaCatalogProvider: CatalogProvider = {
   async getProducts(filters) {
     return fetchProducts(filters);
@@ -416,6 +468,11 @@ export const medusaCatalogProvider: CatalogProvider = {
   },
 
   async searchProducts(query, limit = 8) {
-    return fetchProducts({ query }, limit);
+    const { products } = await fetchWithFacets({ query }, limit);
+    return products;
+  },
+
+  async searchWithFacets(filters) {
+    return fetchWithFacets(filters, filters?.limit ?? 24);
   },
 };

workloads/ecommerce/lib/headless/types.ts

@@ -38,6 +38,10 @@ export interface ProductFilters {
   ageRange?: string;
   minPrice?: number;
   maxPrice?: number;
+  // Solo lo usa searchWithFacets -- limit=0 pide facetDistribution/count
+  // sin rehidratar precios de productos que no se van a mostrar (ver
+  // sidebar de facetas en catalog-client.tsx).
+  limit?: number;
 }
 
 export interface Category {
@@ -47,9 +51,23 @@ export interface Category {
   parentId: string | null;
 }
 
+// facet -> valor -> cuantos productos del resultado filtrado tienen ese
+// valor (ej. { brand: { Marvel: 5, Disney: 10 } }).
+export type FacetDistribution = Record<string, Record<string, number>>;
+
+export interface FacetedSearchResult {
+  products: Product[];
+  facetDistribution: FacetDistribution;
+  count: number;
+}
+
 export interface CatalogProvider {
   getProducts(filters?: ProductFilters): Promise<Product[]>;
   getProductBySlug(slug: string): Promise<Product | null>;
   searchProducts(query: string, limit?: number): Promise<Product[]>;
   getCategories(): Promise<Category[]>;
+  // Opcional a propósito: mock.ts y shopify.ts no lo implementan y
+  // siguen compilando igual -- los llamadores caen de nuevo al
+  // filtrado/conteo 100% client-side que ya existe cuando no está.
+  searchWithFacets?(filters?: ProductFilters): Promise<FacetedSearchResult>;
 }

workloads/ecommerce/patches/frontend-medusa-env.yaml

@@ -1,21 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: frontend-deploy
-spec:
-  template:
-    spec:
-      containers:
-        - name: web
-          env:
-            - name: HEADLESS_PROVIDER
-              value: medusa
-
-            - name: MEDUSA_BACKEND_URL
-              value: http://medusa-svc:9000
-
-            - name: MEDUSA_PUBLISHABLE_KEY
-              valueFrom:
-                secretKeyRef:
-                  name: commerce-storefront
-                  key: MEDUSA_PUBLISHABLE_KEY