import type {
  KeywordAnalysisRow,
  ProductPlanningCompetitorAnalysisRecord,
  ProductPlanningKeywordInsightGroup,
  ProductPlanningKeywordInsightSuggestion,
  ProductPlanningTaobaoItem,
} from "./types";

function formatPlatform(value: ProductPlanningTaobaoItem["platform"], isTmall: boolean) {
  if (value === "jd") return "京东";
  return isTmall ? "天猫" : "淘宝";
}

function formatDataSource(value: ProductPlanningTaobaoItem["dataSource"]) {
  if (value === "detail-plus") return "详情增强";
  if (value === "legacy") return "旧接口兜底";
  if (value === "jd") return "京东接口";
  return "未标记";
}

function formatPropertySummary(row: ProductPlanningTaobaoItem, limit = 10) {
  return row.properties
    .slice(0, limit)
    .map((entry) => `${entry.name}:${entry.value}`)
    .join(" | ");
}

function formatConversionRate(value?: number) {
  if (typeof value !== "number") return "";
  return `${(value * 100).toFixed(2)}%`;
}

function triggerBlobDownload(blob: Blob, fileName: string) {
  const url = URL.createObjectURL(blob);
  const anchor = document.createElement("a");
  anchor.href = url;
  anchor.download = fileName;
  document.body.appendChild(anchor);
  anchor.click();
  document.body.removeChild(anchor);
  URL.revokeObjectURL(url);
}

export async function downloadKeywordAnalysisWorkbook(
  rows: KeywordAnalysisRow[],
  baseFileName = "商品策划工具_关键词分析"
) {
  const { Workbook } = await import("exceljs");

  const workbook = new Workbook();
  const sheet = workbook.addWorksheet("关键词拆词结果");
  sheet.columns = [
    { header: "词语", key: "keyword", width: 24 },
    { header: "拆分片段", key: "segments", width: 28 },
    { header: "标签分类", key: "category", width: 16 },
    { header: "出现次数", key: "occurrenceCount", width: 12 },
    { header: "搜索人气", key: "searchPopularity", width: 14 },
    { header: "支付转化率", key: "conversionRate", width: 14 },
  ];

  sheet.getRow(1).font = { bold: true };
  sheet.views = [{ state: "frozen", ySplit: 1 }];

  for (const row of rows) {
    sheet.addRow({
      keyword: row.keyword,
      segments: row.segments.join(" / "),
      category: row.category,
      occurrenceCount: row.occurrenceCount,
      searchPopularity: row.searchPopularity ?? "",
      conversionRate: formatConversionRate(row.conversionRate),
    });
  }

  const buffer = await workbook.xlsx.writeBuffer();
  const blob = new Blob([buffer], {
    type: "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
  });
  triggerBlobDownload(blob, `${baseFileName}_${new Date().toISOString().slice(0, 10)}.xlsx`);
}

async function downloadWorkbook(params: {
  worksheetName: string;
  columns: Array<{ header: string; key: string; width: number }>;
  rows: Array<Record<string, unknown>>;
  fileName: string;
}) {
  const { Workbook } = await import("exceljs");

  const workbook = new Workbook();
  const sheet = workbook.addWorksheet(params.worksheetName);
  sheet.columns = params.columns;
  sheet.getRow(1).font = { bold: true };
  sheet.views = [{ state: "frozen", ySplit: 1 }];

  for (const row of params.rows) {
    sheet.addRow(row);
  }

  const buffer = await workbook.xlsx.writeBuffer();
  const blob = new Blob([buffer], {
    type: "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
  });
  triggerBlobDownload(blob, `${params.fileName}_${new Date().toISOString().slice(0, 10)}.xlsx`);
}

export async function downloadCompetitorWorkbook(
  rows: ProductPlanningTaobaoItem[],
  baseFileName = "商品策划工具_竞品分析"
) {
  await downloadWorkbook({
    worksheetName: "竞品分析",
    fileName: baseFileName,
    columns: [
      { header: "数据来源", key: "dataSource", width: 14 },
      { header: "平台", key: "platform", width: 12 },
      { header: "商品ID", key: "itemId", width: 18 },
      { header: "请求ID", key: "requestedItemId", width: 18 },
      { header: "商品标题", key: "title", width: 40 },
      { header: "品牌", key: "brand", width: 18 },
      { header: "店铺", key: "shopName", width: 26 },
      { header: "店铺ID", key: "shopId", width: 18 },
      { header: "发货地", key: "location", width: 18 },
      { header: "类目ID", key: "categoryId", width: 18 },
      { header: "当前价格", key: "price", width: 14 },
      { header: "划线价格", key: "originalPrice", width: 14 },
      { header: "总销量", key: "totalSales", width: 14 },
      { header: "近期销量", key: "recentSales", width: 14 },
      { header: "材质", key: "material", width: 24 },
      { header: "详细材质", key: "detailedMaterial", width: 36 },
      { header: "标准品类", key: "standardProductType", width: 22 },
      { header: "市场分类", key: "marketCategoryName", width: 22 },
      { header: "价格带", key: "priceBand", width: 16 },
      { header: "SKU数量", key: "skuCount", width: 12 },
      { header: "主图数", key: "itemImageCount", width: 12 },
      { header: "详情图数", key: "detailImageCount", width: 12 },
      { header: "主图视频", key: "videoUrl", width: 36 },
      { header: "企划详情ID", key: "detailStorageRecordId", width: 14 },
      { header: "产品记录ID", key: "productRecordId", width: 14 },
      { header: "参数预览", key: "propertySummary", width: 80 },
      { header: "商品链接", key: "detailUrl", width: 48 },
      { header: "来源链接", key: "sourceUrl", width: 48 },
    ],
    rows: rows.map((row) => ({
      dataSource: formatDataSource(row.dataSource),
      platform: formatPlatform(row.platform, row.isTmall),
      itemId: row.itemId,
      requestedItemId: row.requestedItemId || row.itemId,
      title: row.title,
      brand: row.brand || "",
      shopName: row.shopName || "",
      shopId: row.shopId || "",
      location: row.location || "",
      categoryId: row.categoryId || "",
      price: row.price ?? "",
      originalPrice: row.originalPrice ?? "",
      totalSales: row.totalSales ?? "",
      recentSales: row.recentSales ?? "",
      material: row.material || "",
      detailedMaterial: row.detailedMaterial || "",
      standardProductType: row.standardProductType || "",
      marketCategoryName: row.marketCategoryName || "",
      priceBand: row.priceBand || "",
      skuCount: row.skuCount ?? row.skus.length,
      itemImageCount: row.itemImages.length,
      detailImageCount: row.detailImages.length,
      videoUrl: row.videoUrl || "",
      detailStorageRecordId: row.detailStorageRecordId || "",
      productRecordId: row.productRecordId || "",
      propertySummary: formatPropertySummary(row),
      detailUrl: row.detailUrl || "",
      sourceUrl: row.sourceUrl || "",
    })),
  });
}

export async function downloadSalesWorkbook(
  rows: ProductPlanningTaobaoItem[],
  baseFileName = "商品策划工具_ID销量查询"
) {
  await downloadWorkbook({
    worksheetName: "ID销量查询",
    fileName: baseFileName,
    columns: [
      { header: "平台", key: "platform", width: 12 },
      { header: "商品ID", key: "itemId", width: 18 },
      { header: "商品标题", key: "title", width: 40 },
      { header: "近期销量", key: "recentSales", width: 14 },
      { header: "当前价格", key: "price", width: 14 },
      { header: "划线价格", key: "originalPrice", width: 14 },
      { header: "品牌", key: "brand", width: 18 },
      { header: "店铺", key: "shopName", width: 26 },
      { header: "发货地", key: "location", width: 18 },
      { header: "材质", key: "material", width: 22 },
      { header: "详情图数", key: "detailImageCount", width: 12 },
      { header: "参数预览", key: "propertySummary", width: 80 },
      { header: "商品链接", key: "detailUrl", width: 48 },
    ],
    rows: rows.map((row) => ({
      platform: formatPlatform(row.platform, row.isTmall),
      itemId: row.itemId,
      title: row.title,
      recentSales: row.recentSales ?? "",
      price: row.price ?? "",
      originalPrice: row.originalPrice ?? "",
      brand: row.brand || "",
      shopName: row.shopName || "",
      location: row.location || "",
      material: row.material || "",
      detailImageCount: row.detailImages.length,
      propertySummary: formatPropertySummary(row),
      detailUrl: row.detailUrl || "",
    })),
  });
}

export async function downloadKeywordInsightSuggestionsWorkbook(
  rows: ProductPlanningKeywordInsightSuggestion[],
  baseFileName = "商品策划工具_关键词洞察_搜索建议"
) {
  await downloadWorkbook({
    worksheetName: "搜索建议",
    fileName: baseFileName,
    columns: [
      { header: "排名", key: "rank", width: 10 },
      { header: "关键词", key: "keyword", width: 28 },
      { header: "权重", key: "weight", width: 16 },
    ],
    rows: rows.map((row) => ({
      rank: row.rank,
      keyword: row.keyword,
      weight: row.weight,
    })),
  });
}

export async function downloadKeywordInsightGroupsWorkbook(
  rows: ProductPlanningKeywordInsightGroup[],
  baseFileName = "商品策划工具_关键词洞察_标签分组"
) {
  await downloadWorkbook({
    worksheetName: "标签分组",
    fileName: baseFileName,
    columns: [
      { header: "组序号", key: "index", width: 10 },
      { header: "分组类型", key: "type", width: 20 },
      { header: "标签名称", key: "title", width: 28 },
      { header: "标签热度", key: "tagType", width: 12 },
    ],
    rows: rows.flatMap((group) =>
      group.tags.map((tag) => ({
        index: group.index,
        type: group.type,
        title: tag.title,
        tagType: tag.type === "hot" ? "热门" : "普通",
      }))
    ),
  });
}

export function downloadMarkdownFile(
  markdown: string,
  baseFileName = "商品策划工具_分析结果"
) {
  const blob = new Blob([markdown], {
    type: "text/markdown;charset=utf-8",
  });
  triggerBlobDownload(blob, `${baseFileName}_${new Date().toISOString().slice(0, 10)}.md`);
}

export async function downloadCompetitorAnalysisWorkbook(
  records: Record<string, ProductPlanningCompetitorAnalysisRecord>,
  baseFileName = "商品策划工具_竞品分析结果"
) {
  const rows = Object.entries(records)
    .map(([key, value]) => ({
      key,
      kind: value.kind === "sku" ? "SKU卖点分析" : "图片分析",
      title: value.title,
      updatedAt: value.updatedAt,
      markdown: value.markdown,
    }))
    .sort((left, right) => right.updatedAt.localeCompare(left.updatedAt));

  await downloadWorkbook({
    worksheetName: "AI分析结果",
    fileName: baseFileName,
    columns: [
      { header: "结果键", key: "key", width: 26 },
      { header: "分析类型", key: "kind", width: 16 },
      { header: "标题", key: "title", width: 42 },
      { header: "更新时间", key: "updatedAt", width: 24 },
      { header: "Markdown结果", key: "markdown", width: 120 },
    ],
    rows,
  });
}