Initial kitchen scaffold — Phase 1 kitchen port (build-verified 2026-07-11)

FastAPI backend (Python 3.11, MSSQL ODBC for SambaPOS, Azure DI OCR),
kitchen_db on central PG. React/TS/Vite frontend with navy sidebar layout.

Backend: auth.py (APP_SLUG=kitchen, SimpleNamespace — archive routes use
.kitchen_id/.is_admin without modification), main.py (51 migrations, scheduler,
internal router for KDS bookings feed), api/internal.py, full archive API
(31 routers: invoices, recipes, menus, sambapos, resos, newbook, disputes,
purchase_orders, etc.), models, migrations, OCR pipeline.
kitchen_id pinned to 1 (B1 — single hotel).

Frontend: AuthGate (app=kitchen, token shim for archive compat — B5b pending),
Layout (navy sidebar, 6 sections, Lucide icons, teal --app-primary),
App.tsx (Outlet pattern, UploadApp outside Layout), index.css (full :root block).
strict: false — archive components have type issues; build clean.

Note: 45 archive components call fetch('/api/...') without /kitchen/ prefix
(B5b). Runtime 404s; deferred until after initial testing.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

frontend/node_modules/@tanstack/react-query/build/legacy/HydrationBoundary.js

@@ -0,0 +1,57 @@
+"use client";
+
+// src/HydrationBoundary.tsx
+import * as React from "react";
+import { hydrate } from "@tanstack/query-core";
+import { useQueryClient } from "./QueryClientProvider.js";
+var HydrationBoundary = ({
+  children,
+  options = {},
+  state,
+  queryClient
+}) => {
+  const client = useQueryClient(queryClient);
+  const optionsRef = React.useRef(options);
+  React.useEffect(() => {
+    optionsRef.current = options;
+  });
+  const hydrationQueue = React.useMemo(() => {
+    if (state) {
+      if (typeof state !== "object") {
+        return;
+      }
+      const queryCache = client.getQueryCache();
+      const queries = state.queries || [];
+      const newQueries = [];
+      const existingQueries = [];
+      for (const dehydratedQuery of queries) {
+        const existingQuery = queryCache.get(dehydratedQuery.queryHash);
+        if (!existingQuery) {
+          newQueries.push(dehydratedQuery);
+        } else {
+          const hydrationIsNewer = dehydratedQuery.state.dataUpdatedAt > existingQuery.state.dataUpdatedAt || dehydratedQuery.promise && existingQuery.state.status !== "pending" && existingQuery.state.fetchStatus !== "fetching" && dehydratedQuery.dehydratedAt !== void 0 && dehydratedQuery.dehydratedAt > existingQuery.state.dataUpdatedAt;
+          if (hydrationIsNewer) {
+            existingQueries.push(dehydratedQuery);
+          }
+        }
+      }
+      if (newQueries.length > 0) {
+        hydrate(client, { queries: newQueries }, optionsRef.current);
+      }
+      if (existingQueries.length > 0) {
+        return existingQueries;
+      }
+    }
+    return void 0;
+  }, [client, state]);
+  React.useEffect(() => {
+    if (hydrationQueue) {
+      hydrate(client, { queries: hydrationQueue }, optionsRef.current);
+    }
+  }, [client, hydrationQueue]);
+  return children;
+};
+export {
+  HydrationBoundary
+};
+//# sourceMappingURL=HydrationBoundary.js.map