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https://github.com/primedigitaltech/azon_seeker.git
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feat: 支持 about-points 拆分导出(本地+云端)
合并自 fix/detail-page-image 分支的以下提交: - feat: local export splits abouts into point columns (147616c) - refactor: apply about-points expansion to both local and cloud export (f0a5463) Co-authored-by: Cursor <cursoragent@cursor.com>
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@ -1,6 +1,6 @@
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{
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"name": "azon-seeker",
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"displayName": "Azon Seeker v0.7.1.10-beta",
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"displayName": "Azon Seeker v0.7.1.12-beta",
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"version": "0.7.2",
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"private": true,
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"description": "Starter modify by honestfox101 and PetrichorFun",
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@ -210,13 +210,55 @@ const filteredData = computed(() => {
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return data;
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});
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/** 导出时将「关于」拆成「要点1…要点n」多列 */
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function prepareExportItemsWithAboutPoints(
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headers: Header[],
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items: AmazonItem[],
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): { headers: Header[]; items: Record<string, unknown>[] } {
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const aboutLines = (item: AmazonItem) => {
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const raw = item.abouts;
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if (!raw?.length) return [];
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return raw
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.flatMap((line) => line.split(/\r?\n/))
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.map((s) => s.trim())
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.filter(Boolean);
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};
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const nextHeaders = headers.filter((h) => h.prop !== 'abouts');
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const lineArrays = items.map(aboutLines);
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const maxN = Math.max(1, ...lineArrays.map((l) => l.length));
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for (let i = 0; i < maxN; i++) {
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nextHeaders.push({
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label: `要点${i + 1}`,
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prop: `aboutPoint${i + 1}`,
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});
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}
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const nextItems = items.map((item, idx) => {
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const row: Record<string, unknown> = { ...item };
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const lines = lineArrays[idx];
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for (let i = 0; i < maxN; i++) {
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row[`aboutPoint${i + 1}`] = lines[i] ?? '';
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}
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return row;
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});
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return { headers: nextHeaders, items: nextItems };
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}
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const handleExport = async (opt: 'local' | 'cloud') => {
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const headers = getItemHeaders();
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const items = toRaw(filteredData.value);
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let headers = getItemHeaders();
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let items: Record<string, unknown>[] | AmazonItem[] = toRaw(filteredData.value);
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const prepared = prepareExportItemsWithAboutPoints(headers, items as AmazonItem[]);
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headers = prepared.headers;
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items = prepared.items;
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const fragments = [
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{
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data: items,
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headers: headers,
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headers,
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imageColumn: ['A+截图', '商品图片链接'],
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name: 'items',
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},
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