Improve scan decision card hydration

frontend/components/dashboard/scan-terminal/__tests__/aiPinnedHydrationPerformance.test.ts

@@ -14,7 +14,17 @@ export function runTests() {
     "scan-terminal",
     "use-ai-pinned-city-workspace.ts",
   );
+  const storePath = path.join(projectRoot, "hooks", "useDashboardStore.tsx");
+  const cardPath = path.join(
+    projectRoot,
+    "components",
+    "dashboard",
+    "scan-terminal",
+    "AiPinnedCityCard.tsx",
+  );
   const source = fs.readFileSync(workspacePath, "utf8");
+  const storeSource = fs.readFileSync(storePath, "utf8");
+  const cardSource = fs.readFileSync(cardPath, "utf8");
 
   assert(
     !source.includes("waitForDeepAnalysisQueue"),
@@ -24,4 +34,17 @@ export function runTests() {
     /store\.ensureCityDetail\(\s*nextCity,\s*false,\s*"full",?\s*\)/.test(source),
     "automatic deep analysis hydration should use cache-friendly full detail requests",
   );
+  assert(
+    storeSource.includes("row.model_cluster_sources") &&
+      storeSource.includes("deb_prediction") &&
+      storeSource.includes("multi_model: multiModel"),
+    "decision-card preload must hydrate model cluster and DEB data from the scan row",
+  );
+  assert(
+    cardSource.includes("getRowModelEntries") &&
+      cardSource.includes("row?.ai_predicted_max") &&
+      cardSource.includes("row?.cluster_median") &&
+      cardSource.includes("detailModelEntries.length ? detailModelEntries : getRowModelEntries(row)"),
+    "decision card should render model support and AI predicted max from the row before full detail/AI stream arrives",
+  );
 }