Improve scan decision card hydration

2026-05-17 18:57:02 +08:00
parent 5c2977fe71
commit 8ade6dd7d2
6 changed files with 122 additions and 10 deletions
@@ -123,6 +123,20 @@ export function runTests() {
  assert.equal(errorState.payload?.status, "timeout_fallback");
  assert.match(errorState.payload?.reason_zh || "", /DeepSeek|DEB|METAR/);

+  const modelFallbackState = buildAiCityErrorForecastState({
+    cacheKey: `${cacheKey}:models`,
+    detail: cityDetail({
+      deb: { prediction: 29 },
+      multi_model: { ECMWF: 30, GFS: 32, ICON: 31 },
+    } as unknown as Partial<CityDetail>),
+    error: new Error("timeout"),
+    isEn: false,
+    report: "",
+  });
+  assert.equal(modelFallbackState.payload?.city_forecast?.predicted_max, 31);
+  assert.equal(modelFallbackState.payload?.city_forecast?.range_low, 30);
+  assert.equal(modelFallbackState.payload?.city_forecast?.range_high, 32);
+
  const hkoState = buildAiCityErrorForecastState({
    cacheKey: `${cacheKey}:hko`,
    detail: cityDetail({
@@ -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",
+  );
 }