feat: local export splits abouts into point columns

- add prepareLocalExportItemsWithAboutPoints to split abouts array
  into columns point1 pointN for local Excel export
- handleExport calls this only for local export; cloud export keeps
  the original single abouts column

Co-authored-by: Cursor <cursoragent@cursor.com>

package.json

@@ -1,6 +1,6 @@
 {
   "name": "azon-seeker",
-  "displayName": "Azon Seeker v0.7.1.10-beta",
+  "displayName": "Azon Seeker v0.7.1.11-beta",
   "version": "0.7.2",
   "private": true,
   "description": "Starter modify by honestfox101 and PetrichorFun",

src/options/views/AmazonResultTable.vue

@@ -210,13 +210,57 @@ const filteredData = computed(() => {
   return data;
 });
 
+/** 本地导出：将「关于」拆成「要点1…要点n」多列，云端导出仍为单列「关于」 */
+function prepareLocalExportItemsWithAboutPoints(
+  headers: Header[],
+  items: AmazonItem[],
+): { headers: Header[]; items: Record<string, unknown>[] } {
+  const aboutLines = (item: AmazonItem) => {
+    const raw = item.abouts;
+    if (!raw?.length) return [];
+    return raw
+      .flatMap((line) => line.split(/\r?\n/))
+      .map((s) => s.trim())
+      .filter(Boolean);
+  };
+
+  const nextHeaders = headers.filter((h) => h.prop !== 'abouts');
+  const lineArrays = items.map(aboutLines);
+  const maxN = Math.max(1, ...lineArrays.map((l) => l.length));
+
+  for (let i = 0; i < maxN; i++) {
+    nextHeaders.push({
+      label: `要点${i + 1}`,
+      prop: `aboutPoint${i + 1}`,
+    });
+  }
+
+  const nextItems = items.map((item, idx) => {
+    const row: Record<string, unknown> = { ...item };
+    const lines = lineArrays[idx];
+    for (let i = 0; i < maxN; i++) {
+      row[`aboutPoint${i + 1}`] = lines[i] ?? '';
+    }
+    return row;
+  });
+
+  return { headers: nextHeaders, items: nextItems };
+}
+
 const handleExport = async (opt: 'local' | 'cloud') => {
-  const headers = getItemHeaders();
+  let headers = getItemHeaders();
-  const items = toRaw(filteredData.value);
+  let items: Record<string, unknown>[] | AmazonItem[] = toRaw(filteredData.value);
+
+  if (opt === 'local') {
+    const prepared = prepareLocalExportItemsWithAboutPoints(headers, items as AmazonItem[]);
+    headers = prepared.headers;
+    items = prepared.items;
+  }
+
   const fragments = [
     {
       data: items,
-      headers: headers,
+      headers,
       imageColumn: ['A+截图', '商品图片链接'],
       name: 'items',
     },