Improve dashboard maintainability before the next release

The dashboard had several oversized orchestration, component, and CSS files that made product-copy changes and mobile/performance work risky. This refactor preserves behavior while splitting scan terminal CSS, opportunity helpers, future forecast panels, history/detail charts, and probability/model sections into smaller ownership boundaries. Constraint: No user-visible version bump because this batch is architecture and performance cleanup, not a release announcement. Rejected: Rewrite dashboard state management in the same batch | too broad for a safe upload after CSS and component splitting. Confidence: high Scope-risk: moderate Reversibility: clean Directive: Keep new component/CSS boundaries instead of moving product copy back into the large dashboard files. Tested: npm run build; npm run test:business; git diff --check Not-tested: Browser visual smoke test after push
2026-04-28 20:19:17 +08:00
parent 20516000a2
commit 2b1d7c0b65
56 changed files with 15303 additions and 15063 deletions
@@ -0,0 +1,46 @@
+import type { ScanOpportunityRow } from "@/lib/dashboard-types";
+import { formatTemperatureValue } from "@/lib/temperature-utils";
+
+export function formatModelSources(row: ScanOpportunityRow, tempSymbol?: string | null) {
+  const sources = row.model_cluster_sources || {};
+  return Object.entries(sources)
+    .filter(([, value]) => value != null && Number.isFinite(Number(value)))
+    .sort(([left], [right]) => left.localeCompare(right))
+    .map(([name, value]) => ({
+      name,
+      value: formatTemperatureValue(Number(value), tempSymbol, { digits: 1 }),
+    }));
+}
+
+export function formatModelClusterRange(
+  sources?: Record<string, number | null> | null,
+  tempSymbol?: string | null,
+) {
+  const values = Object.values(sources || {})
+    .map((value) => Number(value))
+    .filter((value) => Number.isFinite(value));
+  if (!values.length) return "--";
+  const low = Math.min(...values);
+  const high = Math.max(...values);
+  if (Math.abs(low - high) < 0.05) {
+    return formatTemperatureValue(low, tempSymbol, { digits: 1 });
+  }
+  return `${formatTemperatureValue(low, tempSymbol, { digits: 1 })} ~ ${formatTemperatureValue(high, tempSymbol, { digits: 1 })}`;
+}
+
+export function getModelSourceSummary(
+  row: ScanOpportunityRow,
+  locale: string,
+  tempSymbol?: string | null,
+) {
+  const sources = formatModelSources(row, tempSymbol);
+  if (!sources.length) {
+    return locale === "en-US"
+      ? "model cluster pending"
+      : "模型集群暂未回传";
+  }
+  const shown = sources.map((item) => `${item.name} ${item.value}`).join(" / ");
+  return locale === "en-US"
+    ? `all models: ${shown}`
+    : `全部模型：${shown}`;
+}